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Giannis Karagiannis

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Giannis Karagiannis & Panagiotis Ravanos, 2023. "A Composite Indicator of Social Inclusion for EU based on the Inverted BoD Model," Discussion Paper Series 2023_02, Department of Economics, University of Macedonia, revised Feb 2023.

    Cited by:

    1. Cantone, Giulio Giacomo & Tomaselli, Venera, 2024. "On the Coherence of Composite Indexes: Multiversal Model and Specification Analysis for an Index of Well-Being," MetaArXiv d5y26, Center for Open Science.

  2. Panagiotis Ravanos & Giannis Karagiannis, 2022. "On VEA, Production Trade-offs and Weight Restrictions," Discussion Paper Series 2022_04, Department of Economics, University of Macedonia, revised Jun 2022.

    Cited by:

    1. Giannis Karagiannis & Panagiotis Ravanos, 2023. "On Value Efficiency Analysis and Cone-Ratio Data Envelopment Analysis models," Discussion Paper Series 2023_03, Department of Economics, University of Macedonia, revised Mar 2023.

  3. Panagiotis Ravanos & Giannis Karagiannis, 2022. "In search for the Most Preferred Solution in Value Efficiency Analysis," Discussion Paper Series 2022_05, Department of Economics, University of Macedonia, revised Jul 2022.

    Cited by:

    1. Giannis Karagiannis & Panagiotis Ravanos, 2023. "On Value Efficiency Analysis and Cone-Ratio Data Envelopment Analysis models," Discussion Paper Series 2023_03, Department of Economics, University of Macedonia, revised Mar 2023.

  4. Thanasis Bouzidis & Giannis Karagiannis, 2021. "An Alternative Ranking of DMUs Performance for the ZGS-DEA Model," Discussion Paper Series 2021_12, Department of Economics, University of Macedonia, revised Oct 2021.

    Cited by:

    1. Sebastián Lozano & Gabriel Villa, 2023. "Multiobjective centralized DEA approach to Tokyo 2020 Olympic Games," Annals of Operations Research, Springer, vol. 322(2), pages 879-919, March.

  5. Thanasis Bouzidis & Giannis Karagiannis, 2021. "A Note on the Zero-Sum Gains Data Envelopment Analysis Model," Discussion Paper Series 2021_07, Department of Economics, University of Macedonia, revised Mar 2021.

    Cited by:

    1. Thanasis Bouzidis & Giannis Karagiannis, 2022. "Extending the zero-sum gains data envelopment analysis model," Journal of Productivity Analysis, Springer, vol. 58(2), pages 171-184, December.
    2. Bai, Muren & Li, Cunbin, 2024. "Research on the allocation scheme of carbon emission allowances for China's provincial power grids," Energy, Elsevier, vol. 299(C).
    3. Bouzidis, Thanasis & Karagiannis, Giannis, 2022. "An alternative ranking of DMUs performance for the ZSG-DEA model," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    4. Shangjia Wang & Wenhui Zhao & Shuwen Fan & Lei Xue & Zijuan Huang & Zhigang Liu, 2022. "Is the Renewable Portfolio Standard in China Effective? Research on RPS Allocation Efficiency in Chinese Provinces Based on the Zero-Sum DEA Model," Energies, MDPI, vol. 15(11), pages 1-18, May.

  6. Karagiannis, Giannis & Kellermann, Magnus & Pröll, Simon & Salhofer, Klaus, 2017. "Markup And Product Differentiation In The German Brewing Sector," 57th Annual Conference, Weihenstephan, Germany, September 13-15, 2017 262148, German Association of Agricultural Economists (GEWISOLA).

    Cited by:

    1. Liam Keenan, 2020. "The geographies of the institutional and industrial constraints on the financialization of German brewing," Environment and Planning A, , vol. 52(8), pages 1662-1680, November.
    2. Yaghoob Jafari & Maximilian Koppenberg & Stefan Hirsch & Thomas Heckelei, 2023. "Markups and export behavior: Firm‐level evidence from the French food processing industry," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(1), pages 174-194, January.
    3. Weiss, Christoph R., 2020. "Preisbildung bei unvollkommener Konkurrenz," IAMO Discussion Papers 192, Leibniz Institute of Agricultural Development in Transition Economies (IAMO).
    4. Alessandro Bonanno & Carlo Russo & Luisa Menapace, 2018. "Market power and bargaining in agrifood markets: A review of emerging topics and tools," Agribusiness, John Wiley & Sons, Ltd., vol. 34(1), pages 6-23, December.

  7. Almanidis, Pavlos & Karagiannis, Giannis & Sickles, Robin C., 2015. "Semi-nonparametric Spline Modifications to the Cornwell-Schmidt-Sickles Estimator: An Analysis of U.S. Banking Productivity," Working Papers 15-008, Rice University, Department of Economics.

    Cited by:

    1. A. Peyrache & A. N. Rambaldi, 2017. "Incorporating temporal and country heterogeneity in growth accounting—an application to EU-KLEMS," Journal of Productivity Analysis, Springer, vol. 47(2), pages 143-166, April.
    2. Robert McKeown, 2017. "Where Are The Economies Of Scale In Canadian Banking?," Working Paper 1380, Economics Department, Queen's University.

  8. Giannis Karagiannis & Vangelis Tzouvelekas, 2010. "The Damage-Control Effect of Pesticides on Total Factor Productivity Growth," Working Papers 1007, University of Crete, Department of Economics.

    Cited by:

    1. Fałkowski, Jan, 2013. "Does it matter how much land your neighbour owns? The functioning of land markets in Poland from a social comparison perspective," Working papers 157118, Factor Markets, Centre for European Policy Studies.
    2. Zheng, Yanan & Goodhue, Rachael E., 2021. "Cross-crop Spatial Externalities of Pesticide Use: Management of Lygus Bugs in the San Joaquin Valley of California," 2021 Annual Meeting, August 1-3, Austin, Texas 313888, Agricultural and Applied Economics Association.
    3. Giannis Karagiannis, 2014. "Modeling issues in applied efficiency analysis: agriculture," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 12-18.
    4. Böcker, Thomas & Britz, Wolfgang & Finger, Robert, 2017. "Modelling the Effects of a Glyphosate Ban on Weed Management in Maize Production," 57th Annual Conference, Weihenstephan, Germany, September 13-15, 2017 261982, German Association of Agricultural Economists (GEWISOLA).

  9. Zhu, Xueqin & Karagiannis, Giannis & Oude Lansink, Alfons G.J.M., 2008. "Analyzing the impact of direct subsidies on the performance of the Greek Olive Farms with a non-monotonic efficiency effects model," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 43612, European Association of Agricultural Economists.

    Cited by:

    1. Trnkova, Gabriela & Mala, Zdenka & Vasilenko, Alexandr, 2012. "Analysis of the Effects of Subsidies on the Economic Behavior of Agricultural Businesses Focusing on Animal Production," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 4(4 Special), pages 1-12, December.
    2. Filippini, Massimo & Wetzel, Heike, 2014. "The impact of ownership unbundling on cost efficiency: Empirical evidence from the New Zealand electricity distribution sector," Energy Economics, Elsevier, vol. 45(C), pages 412-418.

  10. Genius, Margarita & Karagiannis, Giannis & Tzouvelekas, Vangelis, 2008. "Assessing European Farmers’ Intentions In The Light Of The 2003 Cap Reform," 109th Seminar, November 20-21, 2008, Viterbo, Italy 44849, European Association of Agricultural Economists.

    Cited by:

    1. Genius, Margarita, 2013. "Production and Off-Farm Employment Decisions of Greek and Hungarian Farmers in the Light of the Last CAP Refrom," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 14(2), pages 1-16.
    2. Pavel Ciaian & Maria Espinosa & Sergio Gomez y Paloma & Stephen Langrell & Kamel Louhichi & Thierry Vard & Thomas Heckelei & Paolo Sckokai & Alban Thomas, 2013. "Farm-household investment behaviour and the CAP decoupling: Methodological issues in assessing policy impacts," JRC Research Reports JRC79969, Joint Research Centre.
    3. Laure Latruffe & Aurélia Dupuy & Yann Desjeux, 2012. "What would farmers’ strategies be in a no-CAP situation? An illustration from France," Working Papers SMART 12-02, INRAE UMR SMART.
    4. Demirdogen, Alper & Olhan, Emine, 2018. "The Timing Impact of Agricultural Support Policies on Farmers’ Stated Intentions in Turkey," 162nd Seminar, April 26-27, 2018, Budapest, Hungary 271960, European Association of Agricultural Economists.
    5. Ashok K. Mishra & J. Mathew Fannin & Hyunjeong Joo, 2014. "Off-Farm Work, Intensity of Government Payments, and Farm Exits: Evidence from a National Survey in the United States," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 62(2), pages 283-306, June.

  11. Theodore Palivos & Giannis Karagiannis, 2007. "The elasticity of substitution as an engine of growth," Discussion Paper Series 2007_03, Department of Economics, University of Macedonia, revised Dec 2007.

    Cited by:

    1. Debdulal Mallick, 2012. "The role of capital‐labour substitution in economic growth," Indian Growth and Development Review, Emerald Group Publishing Limited, vol. 5(1), pages 89-101, April.
    2. Andreas Irmen, 2020. "Automation, Growth, an Factor Shares in the Era of Population Aging," DEM Discussion Paper Series 20-15, Department of Economics at the University of Luxembourg.
    3. Theodore Palivos & Jianpo Xue & Chong K. Yip, 2011. "Illegal Immigration, Factor Substitution and Economic Growth," Discussion Paper Series 2011_10, Department of Economics, University of Macedonia, revised Jun 2011.
    4. Jianpo Xue & Chong K. Yip, 2012. "Aggregate Elasticity of Substitution and Economic Growth: A Synthesis," DEGIT Conference Papers c017_011, DEGIT, Dynamics, Economic Growth, and International Trade.
    5. Anastastia Litina & Theodore Palivos, 2008. "The Behaviour of the Saving Rate in the Neoclassical Optimal Growth Model," Discussion Paper Series 2008_05, Department of Economics, University of Macedonia, revised Jun 2008.
    6. Peter McAdam & Jakub Muck & Jakub Growiec, 2015. "Endogenous Labor Share Cycles: Theory and Evidence," 2015 Meeting Papers 62, Society for Economic Dynamics.
    7. Wong, Tsz-Nga & Yip, Chong K., 2010. "Indeterminacy and the elasticity of substitution in one-sector models," Journal of Economic Dynamics and Control, Elsevier, vol. 34(4), pages 623-635, April.
    8. Jakub Growiec & Jakub Muck, 2015. "Isoelastic Elasticity of Substitution Production Functions," Discussion Papers 15-13, University of Copenhagen. Department of Economics.
    9. Chris Papageorgiou & Marianne Saam, 2008. "Two‐level CES Production Technology in the Solow and Diamond Growth Models," Scandinavian Journal of Economics, Wiley Blackwell, vol. 110(1), pages 119-143, March.
    10. Peter McAdam, 2016. "de La Grandville, Olivier: Economic growth: a unified approach," Journal of Economics, Springer, vol. 119(1), pages 91-96, September.
    11. Gwenaël Moysan & Mehdi Senouci, 2016. "A note on 2-input neoclassical production functions," Post-Print hal-01383290, HAL.
    12. Jakub Growiec, 2011. "A Microfoundation for Normalized CES Production Functions with Factor-Augmenting Technical Change," DEGIT Conference Papers c016_013, DEGIT, Dynamics, Economic Growth, and International Trade.
    13. Hideki Nakamura, 2010. "Factor Substitution, Mechanization, And Economic Growth," The Japanese Economic Review, Japanese Economic Association, vol. 61(2), pages 266-281, June.
    14. Antony, Jürgen, 2014. "Technical change and the elasticity of factor substitution," Beiträge der Hochschule Pforzheim 147, Pforzheim University.
    15. Xue, Jianpo & Yip, Chong K., 2012. "Factor Substitution And Economic Growth: A Unified Approach," Macroeconomic Dynamics, Cambridge University Press, vol. 16(4), pages 625-656, September.
    16. Jakub Growiec & Peter McAdam & Jakub Mućk, 2019. "On the optimal labor income share," NBP Working Papers 311, Narodowy Bank Polski.
    17. Sriket, Hongsilp & Suen, Richard M. H., 2019. "Sources of Economic Growth in Models with Non-Renewable Resources," MPRA Paper 96544, University Library of Munich, Germany.
    18. Manuel A. Gómez, 2020. "Factor substitution, long‐run growth, and speed of convergence in the one‐sector convex endogenous‐growth model," Metroeconomica, Wiley Blackwell, vol. 71(1), pages 2-21, February.
    19. Samuele Ialenti & Guido Pialli, 2024. "The increase in the elasticity of substitution between capital and labour: a repeated cross-country investigation," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 33(3), pages 380-400, April.
    20. Manuel Gómez, 2014. "Optimal size of the government: the role of the elasticity of substitution," Journal of Economics, Springer, vol. 111(1), pages 29-53, February.

  12. Giannis Karagiannis & Vangelis Tzouvelekas, 2007. "Measuring Technical Efficiency in the Stochastic Varying Coefficient Frontier Model," Working Papers 0725, University of Crete, Department of Economics.

    Cited by:

    1. Pede, Valerien O. & McKinley, Justin & Singbo, Alphonse & Kajisa, Kei, 2015. "Spatial Dependency of Technical Efficiency in Rice Farming: The Case of Bohol, Philippines," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205456, Agricultural and Applied Economics Association.
    2. Tankari, Mahamadou Roufahi, 2014. "Quelles zones cibler pour accroître l’efficacité agricole en Ouganda?," MPRA Paper 53396, University Library of Munich, Germany.
    3. Tandon, Suranjali & Rao, R. Kavita, 2019. "Frontier analysis for State Excise in India," Working Papers 19/276, National Institute of Public Finance and Policy.
    4. A. Peyrache & A. N. Rambaldi, 2017. "Incorporating temporal and country heterogeneity in growth accounting—an application to EU-KLEMS," Journal of Productivity Analysis, Springer, vol. 47(2), pages 143-166, April.
    5. Singbo, Alphonse G. & Emvalomatis, Grigorios & Alfons, Oude Lansink, 2013. "Assessing the impact of crop specialization on farms’ performance in vegetables farming in Benin: a non-neutral stochastic frontier approach," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149172, Agricultural and Applied Economics Association.
    6. Jerzy Marzec & Andrzej Pisulewski, 2020. "Pomiar efektywności zróżnicowanych technologicznie gospodarstw rolnych w Unii Europejskiej," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 3, pages 111-137.
    7. A. G. Billé & C. Salvioni & R. Benedetti, 2018. "Modelling spatial regimes in farms technologies," Journal of Productivity Analysis, Springer, vol. 49(2), pages 173-185, June.
    8. Valerien O. Pede & Francisco J. Areal & Alphonse Singbo & Justin McKinley & Kei Kajisa, 2018. "Spatial dependency and technical efficiency: an application of a Bayesian stochastic frontier model to irrigated and rainfed rice farmers in Bohol, Philippines," Agricultural Economics, International Association of Agricultural Economists, vol. 49(3), pages 301-312, May.
    9. Dios-Palomares, Rafaela & Martínez-Paz, José M., 2011. "Technical, quality and environmental efficiency of the olive oil industry," Food Policy, Elsevier, vol. 36(4), pages 526-534, August.

  13. Christos Pantzios & Giannis Karagiannis & Vangelis Tzouvelekas, 2005. "Parametric Decomposition of the Input-Oriented Malmquist Productivity Index: With an Application to Greek Aquaculture," Working Papers 0518, University of Crete, Department of Economics.

    Cited by:

    1. Boyd, Gale A. & Lee, Jonathan M., 2019. "Measuring plant level energy efficiency and technical change in the U.S. metal-based durable manufacturing sector using stochastic frontier analysis," Energy Economics, Elsevier, vol. 81(C), pages 159-174.
    2. Pierrick Jan & Markus Lips & Michel Dumondel, 2012. "Total factor productivity change of Swiss dairy farms in the mountain region in the period 1999 to 2008," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement, INRA Department of Economics, vol. 93(3), pages 273-298.
    3. Mirza, Faisal Mehmood & Mushtaq, Iqra & Ullah, Kafait, 2017. "Assessing the efficiency dynamics of post reforms electric distribution utilities in Pakistan," Utilities Policy, Elsevier, vol. 47(C), pages 18-28.
    4. Alphonse Singbo & Bruno Larue, 2016. "Scale Economies, Technical Efficiency, and the Sources of Total Factor Productivity Growth of Quebec Dairy Farms," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(2), pages 339-363, June.
    5. Reza Fallahnejad & Mohammad Reza Mozaffari & Peter Fernandes Wanke & Yong Tan, 2024. "Nash Bargaining Game Enhanced Global Malmquist Productivity Index for Cross-Productivity Index," Games, MDPI, vol. 15(1), pages 1-21, January.
    6. Balk, B.M. & Zofío, J.L., 2018. "The Many Decompositions of Total Factor Productivity Change," ERIM Report Series Research in Management ERS-2018-003-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    7. Gbemay Singbo, Alphonse & Larue, Bruno, 2014. "Scale Economies and Technical Efficiency of Quebec Dairy Farms," Working Papers 182482, University of Laval, Center for Research on the Economics of the Environment, Agri-food, Transports and Energy (CREATE).
    8. Vishal Chandr Jaunky and Lin Zhang, 2016. "Convergence of Operational Efficiency in Chinas Provincial Power Sectors," The Energy Journal, International Association for Energy Economics, vol. 0(China Spe).
    9. Cheng, Xiaomei & Bjørndal, Endre & Lien, Gudbrand & Bjørndal, Mette, 2015. "Productivity Development for Norwegian Electricity Distribution Companies 2004-2013," Discussion Papers 2015/27, Norwegian School of Economics, Department of Business and Management Science.
    10. YAHATA, Tomonori & NAKATANI, Tomoaki & NAKASHIMA, Yasuhiro & SENDA, Tetsuji & FUJIE, Takeshi, 2024. "Total Factor Productivity and its Decomposition of Multi-Output Paddy Farming in Japan," IAAE 2024 Conference, August 2-7, 2024, New Delhi, India 344326, International Association of Agricultural Economists (IAAE).
    11. Galán, Jorge E. & Pollitt, Michael G., 2014. "Inefficiency persistence and heterogeneity in Colombian electricity utilities," Energy Economics, Elsevier, vol. 46(C), pages 31-44.
    12. Laure Latruffe & Sophia Davidova & Kelvin Balcombe, 2008. "Productivity change in Polish agriculture: an illustration of a bootstrapping procedure applied to Malmquist indices," Post-Communist Economies, Taylor & Francis Journals, vol. 20(4), pages 449-460.
    13. Jan, Pierrick & Lips, Markus, 2012. "Total factor productivity change of Swiss dairy farms in the mountain region in the period 1999 to 2008," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud), Institut National de la Recherche Agronomique (INRA), vol. 93(3).
    14. Yu, Bingxin & Liao, Xiyuan & Shen, Hongfang, 2013. "Parametric decomposition of the malmquist index in an output-oriented distance function: Productivity in Chinese agriculture," IFPRI discussion papers 1244, International Food Policy Research Institute (IFPRI).
    15. Xiaobo Shen & Boqiang Lin, 2017. "Total Factor Energy Efficiency of China’s Industrial Sector: A Stochastic Frontier Analysis," Sustainability, MDPI, vol. 9(4), pages 1-17, April.
    16. Lizhan Cao & Zhongying Qi & Junxia Ren, 2017. "China’s Industrial Total-Factor Energy Productivity Growth at Sub-Industry Level: A Two-Step Stochastic Metafrontier Malmquist Index Approach," Sustainability, MDPI, vol. 9(8), pages 1-22, August.
    17. Alphonse G. Singbo & Bruno Larue, 2014. "Scale Economies and Technical Efficiency of Quebec Dairy Farms," Cahiers de recherche CREATE 2014-7, CREATE.

  14. Giannis Karagiannis & Vangelis Tzouvelekas, 2005. "A Flexible Time-Varying Specification of the Technical Inefficiency Effects Model," Working Papers 0517, University of Crete, Department of Economics.

    Cited by:

    1. Zhu, Xueqin & Karagiannis, Giannis & Oude Lansink, Alfons G.J.M., 2008. "Analyzing the impact of direct subsidies on the performance of the Greek Olive Farms with a non-monotonic efficiency effects model," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 43612, European Association of Agricultural Economists.
    2. Almanidis, Pavlos & Karagiannis, Giannis & Sickles, Robin C., 2015. "Semi-nonparametric Spline Modifications to the Cornwell-Schmidt-Sickles Estimator: An Analysis of U.S. Banking Productivity," Working Papers 15-008, Rice University, Department of Economics.
    3. Habtamu ALEM, 2018. "Effects of model specification, short-run, and long-run inefficiency: an empirical analysis of stochastic frontier models," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 64(11), pages 508-516.
    4. Yan Sun & Wei Huang, 2022. "Quasi-maximum likelihood estimation of short panel data models with time-varying individual effects," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 85(1), pages 93-114, January.

  15. Karagiannis, Giannis & Tsionas, Efthimios & Tzouvelekas, Vangelis, 2005. "Efficiency in Damage Control Inputs: A Stochastic Production Frontier Approach," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24642, European Association of Agricultural Economists.

    Cited by:

    1. Midingoyi, Soul-Kifouly & Affognon, Hippolyte & Macharia, Ibrahim & Leru, Bruno, 2021. "Productivity Effects of Biological Control of Maize Stemborer Pests in Kenya: Damage Control Function Approach," 2021 Conference, August 17-31, 2021, Virtual 315385, International Association of Agricultural Economists.

  16. Giannis Karagiannis & Vangelis Tzouvelekas, 2004. "Explaining Output Growth with a Heteroscedastic Non-neutral Production Frontier: The Case of Sheep Farms in Greece," Working Papers 0409, University of Crete, Department of Economics.

    Cited by:

    1. Kellermann, Magnus A., 2015. "Total Factor Productivity Decomposition and Unobserved Heterogeneity in Stochastic Frontier Models," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 44(1), pages 1-25, April.
    2. Roberto Furesi & Fabio Madau & Pietro Pulina, 2013. "Technical efficiency in the sheep dairy industry: an application on the Sardinian (Italy) sector," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 1(1), pages 1-11, December.
    3. Dakpo, K & Jeanneaux, Philippe & Latruffee, Laure, 2015. "Empirical comparison of pollution generating technologies in nonparametric modelling: The case of greenhouse gas emissions in French sheep meat farming," 2015 Conference, August 9-14, 2015, Milan, Italy 211557, International Association of Agricultural Economists.
    4. Serra, Teresa & Zilberman, David & Gil, Jose Maria, 2007. "Farms' Technical Inefficiencies in the Presence of Government Programs," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon 9952, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Basurto Hernandez, Saul & Maddison, David & Banerjee, Anindya, 2018. "The effect of PROCAMPO on farms’ technical efficiency: A Stochastic Frontier Analysis," 2018 Annual Meeting, August 5-7, Washington, D.C. 274376, Agricultural and Applied Economics Association.
    6. Madau, Fabio A., 2015. "Technical and Scale Efficiency in the Italian Citrus Farming: Comparison between SFA and DEA Approaches," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 16(2), pages 1-13.
    7. Minviel, Jean Joseph & Latruffe, Laure, 2014. "Meta-regression analysis of the impact of agricultural subsidies on farm technical efficiency," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182767, European Association of Agricultural Economists.
    8. Dakpo, Hervé K & Jeanneaux, Philippe & Latruffe, Laure, 2014. "Inclusion of undesirable outputs in production technology modeling: The case of greenhouse gas emissions in French meat sheep farming," Working Papers 207806, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    9. Madau, Fabio A., 2011. "Parametric Estimation of Technical and Scale Efficiencies in Italian Citrus Farming," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 12(1).
    10. Hidalgo González, Cristina & Rodríguez Fernández,Mª Pilar, 2018. "Total factor productivity and its components for sheep and goat farms in 37 Southern European regions (2004-2012)," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 17(02), January.
    11. Madau, Fabio A., 2012. "Technical and scale efficiency in the Italian Citrus Farming: A comparison between Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis(DEA) Models," MPRA Paper 41403, University Library of Munich, Germany.
    12. Saldias, Rodrigo & von Cramon-Taubadel, Stephan, 2012. "Access to credit and the determinants of technical inefficiency among specialized small farmers in Chile," DARE Discussion Papers 1211, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    13. Koiry, Subrata & Huang, Wei, 2023. "Do ecological protection approaches affect total factor productivity change of cropland production in Sweden?," Ecological Economics, Elsevier, vol. 209(C).
    14. Ioannis Skevas & Grigorios Emvalomatis & Bernhard Brümmer, 2018. "The effect of farm characteristics on the persistence of technical inefficiency: a case study in German dairy farming," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 45(1), pages 3-25.
    15. Giannis Karagiannis, 2014. "Modeling issues in applied efficiency analysis: agriculture," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 12-18.
    16. Lokina, Razack B., 2008. "Technical Efficiency and the Role of Skipper Skill in Artisanal Lake Victoria Fisheries," RFF Working Paper Series dp-08-13-efd, Resources for the Future.

  17. Giannis Karagiannis & Vangelis Tzouvelekas, 2003. "Sectoral Linkages and Industrial Efficiency: A Dilemma or a Requisition in Identifying Development Priorities?," Working Papers 0413, University of Crete, Department of Economics.

    Cited by:

    1. Maria Sassi, 2023. "Economic Connectiveness and Pro-Poor Growth in Sub-Saharan Africa: The Role of Agriculture," Sustainability, MDPI, vol. 15(3), pages 1-17, January.
    2. George Economakis & Maria Markaki & Alexios Anastasiadis, 2015. "Structural Analysis of the Greek Economy," Review of Radical Political Economics, Union for Radical Political Economics, vol. 47(3), pages 424-445, September.
    3. Honghao Ren & Henk Folmer & Arno Vlist, 2014. "What role does the real estate–construction sector play in China’s regional economy?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 52(3), pages 839-857, May.

  18. Karagiannis, Giannis & Sarris, Alexander H., 2002. "Direct Subsidies and Technical Efficiency in Greek Agriculture," 2002 International Congress, August 28-31, 2002, Zaragoza, Spain 24868, European Association of Agricultural Economists.

    Cited by:

    1. Basurto Hernandez, Saul & Maddison, David & Banerjee, Anindya, 2018. "The effect of PROCAMPO on farms’ technical efficiency: A Stochastic Frontier Analysis," 2018 Annual Meeting, August 5-7, Washington, D.C. 274376, Agricultural and Applied Economics Association.
    2. Minviel, Jean Joseph & Latruffe, Laure, 2014. "Meta-regression analysis of the impact of agricultural subsidies on farm technical efficiency," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182767, European Association of Agricultural Economists.
    3. Ayouba, Kassoum & Boussemart, Jean-Philippe & Vigeant, Stéphane, . "The impact of single farm payments on technical inefficiency of French crop farms," Review of Agricultural, Food and Environmental Studies, Institut National de la Recherche Agronomique (INRA), vol. 98(1/2).
    4. Narangerel Ganbold & Shah Fahad & Hua Li & Tumendemberel Gungaa, 2022. "An evaluation of subsidy policy impacts, transient and persistent technical efficiency: A case of Mongolia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(7), pages 9223-9242, July.
    5. Iraizoz, Belen & Gorton, Matthew & Davidova, Sophia, 2007. "Segmenting farms for analysing agricultural trajectories: A case study of the Navarra region in Spain," Agricultural Systems, Elsevier, vol. 93(1-3), pages 143-169, March.
    6. Yakubu Abdul-Salam & Euan Phimister, 2017. "Efficiency Effects of Access to Information on Small-scale Agriculture: Empirical Evidence from Uganda using Stochastic Frontier and IRT Models," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(2), pages 494-517, June.

  19. Giannis Karagiannis & Peter Midmore & Vangelis Tzouvelekas, 2002. "Parametric Decomposition of Output Growth," Working Papers 0204, University of Crete, Department of Economics.

    Cited by:

    1. Feng, Guohua & Serletis, Apostolos, 2010. "Efficiency, technical change, and returns to scale in large US banks: Panel data evidence from an output distance function satisfying theoretical regularity," Journal of Banking & Finance, Elsevier, vol. 34(1), pages 127-138, January.
    2. Ma, Hengyun & Rae, Allan N. & Huang, Jikun & Rozelle, Scott, 2006. "Enhancing Productivity on Dairy Farms in China: Taking the Cows to Town," 2006 Conference (50th), February 8-10, 2006, Sydney, Australia 174719, Australian Agricultural and Resource Economics Society.
    3. Vasiliki Fourmouzi & Margarita Genius & Peter Midmore & Vangelis Tzouvelekas, 2009. "Measurement of Consumption efficiency in Price-Quantity Space: A Distance Function Approach," Working Papers 0912, University of Crete, Department of Economics.

  20. Ariel Dinar & Giannis Karagiannis & Vangelis Tzouvelekas, 2002. "Evaluating the Impact of Public and Private Agricultural Extension on Farms Performance: A Non-Neutral Stochastic Frontier Approach," Working Papers 0205, University of Crete, Department of Economics.

    Cited by:

    1. Pedro Cerdán-Infantes & Alessandro Maffioli & Diego Ubfal, 2008. "The Impact of Agricultural Extension Services: The Case of Grape Production in Argentina," OVE Working Papers 0508, Inter-American Development Bank, Office of Evaluation and Oversight (OVE).
    2. Cerdan-Infantes, Pedro & Maffioli, Alessandro & Ubfal, Diego, 2009. "Improving Technology Adoption in Agriculture through Extension Services: Evidence from Uruguay," IDB Publications (Working Papers) 2906, Inter-American Development Bank.
    3. Gonzalez Diez, Verónica M. & Ibarrarán, Pablo & Maffioli, Alessandro & Rozo, Sandra, 2009. "The Impact of Technology Adoption on Agricultural Productivity: The Case of the Dominican Republic," IDB Publications (Working Papers) 3017, Inter-American Development Bank.

  21. Giannis Karagiannis & Stelios Katranidis & Vangelis Tzouvelekas, 1999. "Measuring Productive Efficiency of Seabass and Seabream Farms in Greece," Working Papers 9911, University of Crete, Department of Economics.

    Cited by:

    1. Karagiannis, Giannis & Midmore, Peter & Tzouvelekas, Vangelis, 2002. "Parametric Decomposition of Output Growth: An Input-Distance Function Approach," 2002 International Congress, August 28-31, 2002, Zaragoza, Spain 24972, European Association of Agricultural Economists.

  22. Giannis Karagiannis & Vangelis Tzouvelekas, 1999. "Self-Dual Stochastic Production Frontiers and Decomposition of Output Growth: The Case of Olive Growing Farms in Greece," Working Papers 9913, University of Crete, Department of Economics.

    Cited by:

    1. Lambarraa, Fatima & Serra, Teresa & Gil Roig, Jose Maria, 2006. "Technical efficiency analysis and decomposition of productivity growth of Spanish olive farms," 98th Seminar, June 29-July 2, 2006, Chania, Crete, Greece 10071, European Association of Agricultural Economists.
    2. Dhehibi, Boubaker & Elloumi, Mohamed, 2009. "Stochastic Production Frontiers and Decomposition of Output Growth: The case of citrus-growing farms in Tunisia," 2009 Conference, August 16-22, 2009, Beijing, China 49953, International Association of Agricultural Economists.
    3. Ilemobayo, Olufunke Olufunmilayo & Rahji, Mohammed Abdul Yekeen & Oluwafemi, Zacchaeus Olaniyi & Johnson, Sina Basil, 2024. "A Time Series Analysis of Output-Oriented Production Efficiency in Nigeria Agriculture," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 12(01), January.
    4. Giannis Karagiannis, 2005. "Explaining output growth with a heteroscedastic non-neutral production frontier: the case of sheep farms in Greece," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 32(1), pages 51-74, March.
    5. Bravo-Ureta, Boris & Solís, Daniel & Moreira, Victor & Maripani, José & Thiam, Abdourahmane & Rivas, Teodoro, 2005. "Technical Efficiency in Farming: A Meta-regression analysis," Efficiency Series Papers 2005/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    6. Ilemobayo, Olufunke Olufunmilayo & Rahji, Mohammed Abdul Yekeen & Oluwafemi, Zacchaeus Olaniyi & Johnson, Sina Basil, 2024. "A Time Series Analysis of Output-Oriented Production Efficiency in Nigeria Agriculture," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 12(1), January.
    7. Giannis Karagiannis & Peter Midmore & Vangelis Tzouvelekas, 2002. "Parametric Decomposition of Output Growth," Working Papers 0204, University of Crete, Department of Economics.
    8. Dhehibi, Boubaker & Lachaal, Lassaad & Karray, B. & Chebil, Ali, 2006. "Decomposition of output growth in the Tunisian olive-growing sector: A frontier production function approach," 98th Seminar, June 29-July 2, 2006, Chania, Crete, Greece 10037, European Association of Agricultural Economists.

  23. Giannis Karagiannis & Christos Pantzios, "undated". "To comply or Not to Comply with Policy Regulations: The Case of Greek Cotton Growers," Working Papers 9817, University of Crete, Department of Economics.

    Cited by:

    1. Pantzios, Christos J. & Rozakis, Stelios & Tzouvelekas, Vangelis, 2006. "Evading Farm Support Reduction via Efficient Input Use: The Case of Greek Cotton Growers," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 38(3), pages 555-574, December.
    2. Emvalomatis, Grigorios & Oude Lansink, Alfons G.J.M. & Stefanou, Spiro E., 2008. "An Examination of the Relationship Between Subsidies on Production and Technical Efficiency in Agriculture: The Case of Cotton Producers in Greece," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6673, European Association of Agricultural Economists.
    3. Baffes, John, 2004. "Cotton : Market setting, trade policies, and issues," Policy Research Working Paper Series 3218, The World Bank.
    4. Pantzios, Christos J. & Rozakis, Stelios & Tzouvelekas, Vangelis, 2002. "Assessing the Perspectives of EU Cotton Farming: Technical and Scale Efficiencies of Greek Cotton Growers," 2002 International Congress, August 28-31, 2002, Zaragoza, Spain 24844, European Association of Agricultural Economists.

  24. Giannis Karagiannis, "undated". "Proportional Profit Taxes and Resource Management under Production Uncertainty," Working Papers 9819, University of Crete, Department of Economics.

    Cited by:

    1. Drichoutis, Andreas C. & Koundouri, Phoebe, 2012. "Estimating risk attitudes in conventional and artefactual lab experiments: The importance of the underlying assumptions," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 6, pages 1-15.

Articles

  1. Panagiotis Ravanos & Giannis Karagiannis, 2023. "On VEA, production trade-offs and weights restrictions," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 74(10), pages 2081-2093, October.
    See citations under working paper version above.
  2. Karagiannis, Giannis & Ravanos, Panagiotis, 2023. "A composite indicator of social inclusion for EU based on the inverted BoD model," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    See citations under working paper version above.
  3. Thanasis Bouzidis & Giannis Karagiannis, 2022. "A note on the zero-sum gains data envelopment analysis model," Operational Research, Springer, vol. 22(3), pages 1737-1758, July.
    See citations under working paper version above.
  4. Panagiotis Ravanos & Giannis Karagiannis, 2022. "In search for the most preferred solution in value efficiency analysis," Journal of Productivity Analysis, Springer, vol. 58(2), pages 203-220, December.
    See citations under working paper version above.
  5. Bouzidis, Thanasis & Karagiannis, Giannis, 2022. "An alternative ranking of DMUs performance for the ZSG-DEA model," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    See citations under working paper version above.
  6. Panagiotis Ravanos & Giannis Karagiannis, 2021. "A VEA Benefit-of-the-Doubt Model for the HDI," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(1), pages 27-46, May.

    Cited by:

    1. Giannis Karagiannis & Panagiotis Ravanos, 2023. "On Value Efficiency Analysis and Cone-Ratio Data Envelopment Analysis models," Discussion Paper Series 2023_03, Department of Economics, University of Macedonia, revised Mar 2023.
    2. Ziwei Shu & Ramón Alberto Carrasco & Javier Portela García-Miguel & Manuel Sánchez-Montañés, 2022. "Multiple Scenarios of Quality of Life Index Using Fuzzy Linguistic Quantifiers: The Case of 85 Countries in Numbeo," Mathematics, MDPI, vol. 10(12), pages 1-28, June.
    3. Mosnier, Claire & Boukhriss, Sanae & Minviel, Jean-Joseph, 2023. "Does pig production improves cattle farm sustainability in the French massif central? A hierarchical constrained directional benefit-of-the-doubt approach," Agricultural Systems, Elsevier, vol. 210(C).
    4. Panagiotis Ravanos & Giannis Karagiannis, 2023. "On VEA, production trade-offs and weights restrictions," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 74(10), pages 2081-2093, October.
    5. Karagiannis, Giannis, 2023. "Aggregating faculty members’ research effectiveness to the department or university level: Exact versus approximate solutions," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).

  7. Färe, Rolf & Karagiannis, Giannis, 2020. "On the denominator rule and a theorem by Janos Aczél," European Journal of Operational Research, Elsevier, vol. 282(1), pages 398-400.

    Cited by:

    1. Rolf Färe & Giannis Karagiannis, 2024. "The denominator rule with unit ratio difference," Journal of Productivity Analysis, Springer, vol. 61(2), pages 183-190, April.
    2. Rolf Färe & Giannis Karagiannis, 2022. "Aggregation and decomposition of Farrell efficiencies," Operational Research, Springer, vol. 22(5), pages 5675-5683, November.
    3. Karagiannis, Giannis, 2023. "Decomposition and aggregation of tone efficiencies," Omega, Elsevier, vol. 119(C).
    4. Karagiannis, Giannis, 2023. "Aggregating faculty members’ research effectiveness to the department or university level: Exact versus approximate solutions," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).

  8. Karagiannis, Roxani & Karagiannis, Giannis, 2020. "Constructing composite indicators with Shannon entropy: The case of Human Development Index," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).

    Cited by:

    1. Nicola Giuseppe Castellano & Roy Cerqueti & Bruno Maria Franceschetti, 2021. "Evaluating risks-based communities of Mafia companies: a complex networks perspective," Review of Quantitative Finance and Accounting, Springer, vol. 57(4), pages 1463-1486, November.
    2. Panagiotis Ravanos & Giannis Karagiannis, 2021. "A VEA Benefit-of-the-Doubt Model for the HDI," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(1), pages 27-46, May.
    3. Öztürk, Elif Göksu & Guimarães, Paulo & Tavares Silva, Sandra, 2024. "Building a composite index using the multi-objective approach: An application to the case of human development," Socio-Economic Planning Sciences, Elsevier, vol. 91(C).
    4. Andrea De Montis & Vittorio Serra & Amedeo Ganciu & Antonio Ledda, 2020. "Assessing Landscape Fragmentation: A Composite Indicator," Sustainability, MDPI, vol. 12(22), pages 1-23, November.
    5. D'ora Gr'eta Petr'oczy, 2018. "An alternative quality of life ranking on the basis of remittances," Papers 1809.03977, arXiv.org, revised Feb 2021.
    6. Parsaee Tabar , Azam & Abdolvand , Neda & Rajaee Harandi , Saeedeh, 2021. "Identifying the Suspected Cases of Money Laundering in Banking Using Multiple Attribute Decision Making (MADM)," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 16(1), pages 1-20, March.
    7. Boima M. Bernard & Yanping Song & Sehresh Hena & Fayyaz Ahmad & Xin Wang, 2022. "Assessing Africa’s Agricultural TFP for Food Security and Effects on Human Development: Evidence from 35 Countries," Sustainability, MDPI, vol. 14(11), pages 1-21, May.
    8. Madurai Elavarasan, Rajvikram & Pugazhendhi, Rishi & Irfan, Muhammad & Mihet-Popa, Lucian & Campana, Pietro Elia & Khan, Irfan Ahmad, 2022. "A novel Sustainable Development Goal 7 composite index as the paradigm for energy sustainability assessment: A case study from Europe," Applied Energy, Elsevier, vol. 307(C).
    9. Ana Garcia-Bernabeu & José Manuel Cabello & Francisco Ruiz, 2022. "A Reference Point-Based Proposal to Build Regional Quality of Life Composite Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(1), pages 11-30, November.
    10. Alexey Bilgaev & Erzhena Sadykova & Anna Mikheeva & Taisiya Bardakhanova & Svetlana Ayusheeva & Fujia Li & Suocheng Dong, 2022. "Green Economy Development Progress in the Republic of Buryatia (Russia)," IJERPH, MDPI, vol. 19(13), pages 1-16, June.
    11. Alexey Bilgaev & Erzhena Sadykova & Fujia Li & Anna Mikheeva & Suocheng Dong, 2021. "Socio-Economic Factor Impact on the Republic of Buryatia (Russia) Green Economic Development Transition," IJERPH, MDPI, vol. 18(20), pages 1-17, October.
    12. Dwi Sartika Adetama & Akhmad Fauzi & Bambang Juanda & Dedi Budiman Hakim, 2021. "Measurement of Composites Index on Low Carbon Development Supporting Food Security," Sustainability, MDPI, vol. 13(23), pages 1-17, December.
    13. Färe, Rolf & Karagiannis, Giannis, 2022. "Aggregating Farrell efficiencies without value data: The case of hospitals," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).

  9. Giannis Karagiannis & Magnus Kellermann, 2019. "Stochastic frontier models with correlated effects," Journal of Productivity Analysis, Springer, vol. 51(2), pages 175-187, June.

    Cited by:

    1. Lachaud, Michée A. & Bravo-Ureta, Boris E., 2022. "A Bayesian statistical analysis of return to agricultural R&D investment in Latin America: Implications for food security," Technology in Society, Elsevier, vol. 70(C).
    2. Owusu, Eric S. & Bravo-Ureta, Boris E., 2022. "Reap when you sow? The productivity impacts of early sowing in Malawi," Agricultural Systems, Elsevier, vol. 199(C).
    3. Bopp, Carlos & Jara-Rojas, Roberto & Bravo-Ureta, Boris & Engler, Alejandra, 2022. "Irrigation water use, shadow values and productivity: Evidence from stochastic production frontiers in vineyards," Agricultural Water Management, Elsevier, vol. 271(C).
    4. Boris E. Bravo‐Ureta & Víctor H. Moreira & Javier L. Troncoso & Alan Wall, 2020. "Plot‐level technical efficiency accounting for farm‐level effects: Evidence from Chilean wine grape producers," Agricultural Economics, International Association of Agricultural Economists, vol. 51(6), pages 811-824, November.
    5. Neubauer, Florian & Songsermsawas, Tisorn & Kámiche-Zegarra, Joanna & Bravo-Ureta, Boris E., 2022. "Technical efficiency and technological gaps correcting for selectivity bias: Insights from a value chain project in Nepal," Food Policy, Elsevier, vol. 112(C).
    6. Michée A. Lachaud & Boris E. Bravo‐Ureta & Carlos E. Ludena, 2022. "Economic effects of climate change on agricultural production and productivity in Latin America and the Caribbean (LAC)," Agricultural Economics, International Association of Agricultural Economists, vol. 53(2), pages 321-332, March.
    7. Bravo-Ureta, Boris E. & Njuki, Eric & Palacios, Ana Claudia & Salazar, Lina, 2022. "Agricultural Productivity in El Salvador: A Preliminary Analysis," IDB Publications (Working Papers) 11984, Inter-American Development Bank.
    8. Julien, Jacques C. & Bravo-Ureta, Boris E. & Rada, Nicholas E., 2023. "Gender and agricultural Productivity: Econometric evidence from Malawi, Tanzania, and Uganda," World Development, Elsevier, vol. 171(C).
    9. Ben Amor, Tawfik & Mellah, Thuraya, 2023. "Cost efficiency of Tunisian water utility districts: Does heterogeneity matter?," Utilities Policy, Elsevier, vol. 84(C).

  10. Färe, Rolf & Karagiannis, Giannis & Hasannasab, Maryam & Margaritis, Dimitris, 2019. "A benefit-of-the-doubt model with reverse indicators," European Journal of Operational Research, Elsevier, vol. 278(2), pages 394-400.

    Cited by:

    1. Giovanna D'Inverno & Kristof De Witte, 2020. "Service level provision in municipalities: a flexible directional distance composite indicator," Working Papers of LEER - Leuven Economics of Education Research 656607, KU Leuven, Faculty of Economics and Business (FEB), LEER - Leuven Economics of Education Research.
    2. Pereira, Miguel Alves & Camanho, Ana Santos & Marques, Rui Cunha & Figueira, José Rui, 2021. "The convergence of the World Health Organization Member States regarding the United Nations’ Sustainable Development Goal ‘Good health and well-being’," Omega, Elsevier, vol. 104(C).
    3. Vidoli, F.; & Fusco, E.; & Pignataro, G.; & Guccio, C.;, 2023. "Multi-directional Robust Benefit of the Doubt model: a comprehensive measure for the quality of health care in OECD countries," Health, Econometrics and Data Group (HEDG) Working Papers 23/14, HEDG, c/o Department of Economics, University of York.
    4. Chao Shi & Kenneth C. Land, 2021. "The Data Envelopment Analysis and Equal Weights/Minimax Methods of Composite Social Indicator Construction: a Methodological Study of Data Sensitivity and Robustness," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 16(4), pages 1689-1716, August.
    5. Giannis Karagiannis & Panagiotis Ravanos, 2023. "A Composite Indicator of Social Inclusion for EU based on the Inverted BoD Model," Discussion Paper Series 2023_02, Department of Economics, University of Macedonia, revised Feb 2023.
    6. Liu, Yang & Dong, Kangyin & Jiang, Qingzhe, 2023. "Assessing energy vulnerability and its impact on carbon emissions: A global case," Energy Economics, Elsevier, vol. 119(C).
    7. Pereira, Miguel Alves & Marques, Rui Cunha, 2022. "The ‘Sustainable Public Health Index’: What if public health and sustainable development are compatible?," World Development, Elsevier, vol. 149(C).
    8. Pereira, Miguel Alves & Camanho, Ana Santos & Figueira, José Rui & Marques, Rui Cunha, 2021. "Incorporating preference information in a range directional composite indicator: The case of Portuguese public hospitals," European Journal of Operational Research, Elsevier, vol. 294(2), pages 633-650.
    9. Vidoli, F. & Fusco, E. & Pignataro, G. & Guccio, C., 2024. "Multi-directional Robust Benefit of the Doubt model: An application to the measurement of the quality of acute care services in OECD countries," Socio-Economic Planning Sciences, Elsevier, vol. 93(C).
    10. Gong, Chengzhu & Gong, Nianjiao & Qi, Rui & Yu, Shiwei, 2020. "Assessment of natural gas supply security in Asia Pacific: Composite indicators with compromise Benefit-of-the-Doubt weights," Resources Policy, Elsevier, vol. 67(C).
    11. Genave, Anna & Blancard, Stéphane & Garabedian, Sabine, 2020. "An assessment of energy vulnerability in Small Island Developing States," Ecological Economics, Elsevier, vol. 171(C).
    12. Ramon Sala-Garrido & Manuel Mocholí-Arce & María Molinos-Senante, 2021. "Assessing the Quality of Service of Water Companies: a ‘Benefit of the Doubt’ Composite Indicator," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(1), pages 371-387, May.

  11. Färe, Rolf & Grosskopf, Shawna & Karagiannis, Giannis, 2018. "On technical inefficiency indicators at the industry level," International Journal of Production Economics, Elsevier, vol. 196(C), pages 333-334.

    Cited by:

    1. Bilel Jarraya & Hatem Afi & Anis Omri, 2023. "Analyzing the Profitability and Efficiency in European Non-Life Insurance Industry," Methodology and Computing in Applied Probability, Springer, vol. 25(2), pages 1-25, June.

  12. Giannis Karagiannis & Magnus Kellermann & Simon Pröll & Klaus Salhofer, 2018. "Markups and product differentiation in the German brewing sector," Agribusiness, John Wiley & Sons, Ltd., vol. 34(1), pages 61-76, December.
    See citations under working paper version above.
  13. Karagiannis, Roxani & Karagiannis, Giannis, 2018. "Intra- and inter-group composite indicators using the BoD model," Socio-Economic Planning Sciences, Elsevier, vol. 61(C), pages 44-51.

    Cited by:

    1. Nguyen, Trang Thi Thuy & Pham, Binh Thai & Prior, Diego & van Hemmen, Stefan, 2022. "Performance of tax simplification around the world: A panel frontier analysis," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    2. Su, Weihua & Chen, Sibo & Zhang, Chonghui & Li, Kevin W., 2023. "A subgroup dominance-based benefit of the doubt method for addressing rank reversals: A case study of the human development index in Europe," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1299-1317.
    3. Barnabé Walheer, 2019. "Disentangling Heterogeneity Gaps and Pure Performance Differences in Composite Indexes Over Time: The Case of the Europe 2020 Strategy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(1), pages 25-45, May.
    4. Gulati, Rachita & Charles, Vincent & Kumar, Sunil, 2024. "School education development index: A meta-frontier range directional measure benefit-of-the-doubt model," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    5. Acs, Zoltan & Lafuente, Esteban & Szerb, László, 2022. "A note on the configuration of the digital ecosystem in Latin America," TEC Empresarial, School of Business, Costa Rica Institute of Technology (ITCR), vol. 16(1), pages 1-19.
    6. Nicky Rogge & Alena Kolyaseva, 2022. "Measuring and comparing World Bank regions’ ‘ease of doing business’ opportunity sets," Journal of Productivity Analysis, Springer, vol. 57(2), pages 131-155, April.
    7. Rita Matos & Diogo Ferreira & Maria Isabel Pedro, 2021. "Economic Analysis of Portuguese Public Hospitals Through the Construction of Quality, Efficiency, Access, and Financial Related Composite Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 157(1), pages 361-392, August.
    8. Georgios Tsaples & Jason Papathanasiou & Andreas C. Georgiou, 2022. "An Exploratory DEA and Machine Learning Framework for the Evaluation and Analysis of Sustainability Composite Indicators in the EU," Mathematics, MDPI, vol. 10(13), pages 1-27, June.
    9. Van Puyenbroeck, Tom & Rogge, Nicky, 2020. "Comparing regional human development using global frontier difference indices," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    10. Lafuente, Esteban & Araya, Manuel & Leiva, Juan Carlos, 2022. "Assessment of local competitiveness: A composite indicator analysis of Costa Rican counties using the ‘Benefit of the Doubt’ model," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    11. Ramon Sala-Garrido & Manuel Mocholí-Arce & María Molinos-Senante, 2021. "Assessing the Quality of Service of Water Companies: a ‘Benefit of the Doubt’ Composite Indicator," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(1), pages 371-387, May.
    12. Georgiou, Andreas C. & Thanassoulis, Emmanuel & Papadopoulou, Alexandra, 2022. "Using data envelopment analysis in markovian decision making," European Journal of Operational Research, Elsevier, vol. 298(1), pages 276-292.
    13. Van Puyenbroeck, Tom & Montalto, Valentina & Saisana, Michaela, 2021. "Benchmarking culture in Europe: A data envelopment analysis approach to identify city-specific strengths," European Journal of Operational Research, Elsevier, vol. 288(2), pages 584-597.

  14. Rolf Färe & Shawna Grosskopf & Giannis Karagiannis & Dimitris Margaritis, 2017. "Data envelopment analysis and its related linear programming models," Annals of Operations Research, Springer, vol. 250(1), pages 37-43, March.

    Cited by:

    1. Shokhrukh-Mirzo Jalilov & Mohammed Mainuddin & Md. Maniruzzaman & Md. Mahbubul Alam & Md. Towfiqul Islam & Md. Jahangir Kabir, 2019. "Efficiency in the Rice Farming: Evidence from Northwest Bangladesh," Agriculture, MDPI, vol. 9(11), pages 1-14, November.
    2. Färe, Rolf & Karagiannis, Giannis & Hasannasab, Maryam & Margaritis, Dimitris, 2019. "A benefit-of-the-doubt model with reverse indicators," European Journal of Operational Research, Elsevier, vol. 278(2), pages 394-400.
    3. Qingxian An & Fanyong Meng & Beibei Xiong & Zongrun Wang & Xiaohong Chen, 2020. "Assessing the relative efficiency of Chinese high-tech industries: a dynamic network data envelopment analysis approach," Annals of Operations Research, Springer, vol. 290(1), pages 707-729, July.
    4. Subrata Mitra & Balram Avittathur, 2018. "Application of linear programming in optimizing the procurement and movement of coal for an Indian coal-fired power-generating company," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 45(3), pages 207-224, September.

  15. Giannis Karagiannis & Georgia Paschalidou, 2017. "Assessing research effectiveness: a comparison of alternative nonparametric models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 456-468, April.

    Cited by:

    1. Pereira, Miguel Alves & Camanho, Ana Santos & Marques, Rui Cunha & Figueira, José Rui, 2021. "The convergence of the World Health Organization Member States regarding the United Nations’ Sustainable Development Goal ‘Good health and well-being’," Omega, Elsevier, vol. 104(C).
    2. Barra, Cristian & Lagravinese, Raffaele & Zotti, Roberto, 2020. "Exploring Hospital Efficiency within and between Italian Regions: New Empirical Evidence," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202024, University of Turin.
    3. Fu, Tsu-Tan & See, Kok Fong, 2022. "An integrated analysis of quality and productivity growth in China’s and Taiwan’s higher education institutions," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 234-249.
    4. Thanassoulis, E. & Sotiros, D. & Koronakos, G. & Despotis, D., 2018. "Assessing the cost-effectiveness of university academic recruitment and promotion policies," European Journal of Operational Research, Elsevier, vol. 264(2), pages 742-755.
    5. Pereira, Miguel Alves & Camanho, Ana Santos & Figueira, José Rui & Marques, Rui Cunha, 2021. "Incorporating preference information in a range directional composite indicator: The case of Portuguese public hospitals," European Journal of Operational Research, Elsevier, vol. 294(2), pages 633-650.
    6. Giuseppe Coco & Raffaele Lagravinese & Giuliano Resce, 2020. "Beyond the weights: a multicriteria approach to evaluate inequality in education," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 18(4), pages 469-489, December.
    7. Karagiannis, Giannis, 2023. "Aggregating faculty members’ research effectiveness to the department or university level: Exact versus approximate solutions," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
    8. Giannis Karagiannis & Suzanna M. Paleologou, 2021. "A regression-based improvement to the multiple criteria ABC inventory classification analysis," Annals of Operations Research, Springer, vol. 306(1), pages 369-382, November.
    9. Rubo Zhao & Yixiang Tian & Ao Lei & Francis Boadu & Ze Ren, 2019. "The Effect of Local Government Debt on Regional Economic Growth in China: A Nonlinear Relationship Approach," Sustainability, MDPI, vol. 11(11), pages 1-22, May.

  16. Giannis Karagiannis, 2017. "On aggregate composite indicators," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(7), pages 741-746, July.

    Cited by:

    1. Giménez, Víctor & Thieme, Claudio & Prior, Diego & Tortosa-Ausina, Emili, 2022. "Evaluation and determinants of preschool effectiveness in Chile," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    2. Panagiotis Ravanos & Giannis Karagiannis, 2020. "Tricks with the BoD model and an application to the e-Government Development Index," Discussion Paper Series 2020_02, Department of Economics, University of Macedonia, revised May 2020.
    3. Giovanna D'Inverno & Kristof De Witte, 2020. "Service level provision in municipalities: a flexible directional distance composite indicator," Working Papers of LEER - Leuven Economics of Education Research 656607, KU Leuven, Faculty of Economics and Business (FEB), LEER - Leuven Economics of Education Research.
    4. Greco, Salvatore & Ishizaka, Alessio & Tasiou, Menelaos & Torrisi, Gianpiero, 2018. "σ-µ efficiency analysis: A new methodology for evaluating units through composite indices," MPRA Paper 83569, University Library of Munich, Germany.
    5. Vidoli, F.; & Fusco, E.; & Pignataro, G.; & Guccio, C.;, 2023. "Multi-directional Robust Benefit of the Doubt model: a comprehensive measure for the quality of health care in OECD countries," Health, Econometrics and Data Group (HEDG) Working Papers 23/14, HEDG, c/o Department of Economics, University of York.
    6. Nicky Rogge & Alena Kolyaseva, 2022. "Measuring and comparing World Bank regions’ ‘ease of doing business’ opportunity sets," Journal of Productivity Analysis, Springer, vol. 57(2), pages 131-155, April.
    7. Rolf Färe & Giannis Karagiannis, 2024. "The denominator rule with unit ratio difference," Journal of Productivity Analysis, Springer, vol. 61(2), pages 183-190, April.
    8. Giannis Karagiannis & Georgia Paschalidou, 2017. "Assessing research effectiveness: a comparison of alternative nonparametric models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 456-468, April.
    9. Panagiotis Ravanos & Giannis Karagiannis, 2021. "A VEA Benefit-of-the-Doubt Model for the HDI," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(1), pages 27-46, May.
    10. Salvatore Greco & Alessio Ishizaka & Menelaos Tasiou & Gianpiero Torrisi, 2019. "On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 61-94, January.
    11. Dovile Stumbriene & Ana S. Camanho & Audrone Jakaitiene, 2020. "The performance of education systems in the light of Europe 2020 strategy," Annals of Operations Research, Springer, vol. 288(2), pages 577-608, May.
    12. Cantone, Giulio Giacomo & Tomaselli, Venera, 2024. "On the Coherence of Composite Indexes: Multiversal Model and Specification Analysis for an Index of Well-Being," MetaArXiv d5y26, Center for Open Science.
    13. Ali Homayoni & Reza Fallahnejad & Farhad Hosseinzadeh Lotfi, 2022. "Cross Malmquist Productivity Index in Data Envelopment Analysis," 4OR, Springer, vol. 20(4), pages 567-602, December.
    14. Färe, Rolf & Karagiannis, Giannis & Hasannasab, Maryam & Margaritis, Dimitris, 2019. "A benefit-of-the-doubt model with reverse indicators," European Journal of Operational Research, Elsevier, vol. 278(2), pages 394-400.
    15. Vidoli, F. & Fusco, E. & Pignataro, G. & Guccio, C., 2024. "Multi-directional Robust Benefit of the Doubt model: An application to the measurement of the quality of acute care services in OECD countries," Socio-Economic Planning Sciences, Elsevier, vol. 93(C).
    16. de Castro-Pardo, Mónica & Martín Martín, José María & Azevedo, João C., 2022. "A new composite indicator to assess and monitor performance and drawbacks of the implementation of Aichi Biodiversity Targets," Ecological Economics, Elsevier, vol. 201(C).
    17. Karagiannis, Giannis, 2023. "Aggregating faculty members’ research effectiveness to the department or university level: Exact versus approximate solutions," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
    18. Yelin Fu & Kong Xiangtianrui & Hao Luo & Lean Yu, 2020. "Constructing Composite Indicators with Collective Choice and Interval-Valued TOPSIS: The Case of Value Measure," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(1), pages 117-135, November.
    19. Tianjiao Wang & Yelin Fu, 2020. "Constructing Composite Indicators with Individual Judgements and Best–Worst Method: An Illustration of Value Measure," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(1), pages 1-14, May.

  17. Färe, Rolf & Karagiannis, Giannis, 2017. "The denominator rule for share-weighting aggregation," European Journal of Operational Research, Elsevier, vol. 260(3), pages 1175-1180.

    Cited by:

    1. Tommaso Agasisti & Giuseppe Munda & Ralph Hippe, 2019. "Measuring the efficiency of European education systems by combining Data Envelopment Analysis and Multiple-Criteria Evaluation," Journal of Productivity Analysis, Springer, vol. 51(2), pages 105-124, June.
    2. Bruhn, Simon & Grebel, Thomas & Nesta, Lionel, 2023. "The fallacy in productivity decomposition," Ilmenau Economics Discussion Papers 180, Ilmenau University of Technology, Institute of Economics.
    3. Mehdiloozad, Mahmood & Podinovski, Victor V., 2018. "Nonparametric production technologies with weakly disposable inputs," European Journal of Operational Research, Elsevier, vol. 266(1), pages 247-258.
    4. Manevska-Tasevska, Gordana & Hansson, Helena & Asmild, Mette & Surry, Yves, 2018. "Assessing the regional efficiency of Swedish agriculture under the CAP ‒ a multidirectional efficiency approach," 162nd Seminar, April 26-27, 2018, Budapest, Hungary 271971, European Association of Agricultural Economists.
    5. Valentin Zelenyuk, 2019. "Aggregation of Efficiency and Productivity: From Firm to Sector and Higher Levels," CEPA Working Papers Series WP062019, School of Economics, University of Queensland, Australia.
    6. Walheer, Barnabé, 2018. "Aggregation of metafrontier technology gap ratios: the case of European sectors in 1995–2015," European Journal of Operational Research, Elsevier, vol. 269(3), pages 1013-1026.
    7. Kristiaan Kerstens & Jafar Sadeghi, 2024. "Plant capacity notions: review, new definitions, and existence results at firm and industry levels," International Journal of Production Research, Taylor & Francis Journals, vol. 62(3), pages 1017-1040, February.
    8. Karagiannis, Giannis & Kellermann, Magnus & Salhofer, Klaus, 2019. "Sources of Labor Productivity Growth in the German Brewing Industry," Discussion Papers DP-72-2019, University of Natural Resources and Life Sciences, Vienna, Department of Economics and Social Sciences, Institute for Sustainable Economic Development.
    9. Rolf Färe & Giannis Karagiannis, 2024. "The denominator rule with unit ratio difference," Journal of Productivity Analysis, Springer, vol. 61(2), pages 183-190, April.
    10. Giannis Karagiannis & Georgia Paschalidou, 2017. "Assessing research effectiveness: a comparison of alternative nonparametric models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 456-468, April.
    11. Panagiotis Ravanos & Giannis Karagiannis, 2021. "Using VEA to assess effectiveness in the development of human capabilities," Economic Change and Restructuring, Springer, vol. 54(1), pages 75-99, February.
    12. Färe, Rolf & Karagiannis, Giannis, 2020. "On the denominator rule and a theorem by Janos Aczél," European Journal of Operational Research, Elsevier, vol. 282(1), pages 398-400.
    13. Aparicio, Juan & López-Torres, Laura & Santín, Daniel, 2018. "Economic crisis and public education. A productivity analysis using a Hicks-Moorsteen index," Economic Modelling, Elsevier, vol. 71(C), pages 34-44.
    14. Barnabé Walheer, 2019. "Disaggregation for efficiency analysis," Journal of Productivity Analysis, Springer, vol. 51(2), pages 137-151, June.
    15. Walheer, Barnabé, 2019. "Aggregating Farrell efficiencies with private and public inputs," European Journal of Operational Research, Elsevier, vol. 276(3), pages 1170-1177.
    16. Barnabé Walheer, 2022. "Global Malmquist and cost Malmquist indexes for group comparison," Journal of Productivity Analysis, Springer, vol. 58(1), pages 75-93, August.
    17. Ali Homayoni & Reza Fallahnejad & Farhad Hosseinzadeh Lotfi, 2022. "Cross Malmquist Productivity Index in Data Envelopment Analysis," 4OR, Springer, vol. 20(4), pages 567-602, December.
    18. Rolf Färe & Giannis Karagiannis, 2022. "Aggregation and decomposition of Farrell efficiencies," Operational Research, Springer, vol. 22(5), pages 5675-5683, November.
    19. Karagiannis, Giannis, 2023. "Decomposition and aggregation of tone efficiencies," Omega, Elsevier, vol. 119(C).
    20. Kristiaan Kerstens & Jafar Sadeghi, 2021. "Plant Capacity Notions: Existence Results at Firm and Industry Levels," Working Papers 2021-EQM-04, IESEG School of Management.
    21. Karagiannis, Roxani & Karagiannis, Giannis, 2018. "Intra- and inter-group composite indicators using the BoD model," Socio-Economic Planning Sciences, Elsevier, vol. 61(C), pages 44-51.
    22. Karagiannis, Giannis, 2023. "Aggregating faculty members’ research effectiveness to the department or university level: Exact versus approximate solutions," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
    23. Karagiannis, Roxani & Karagiannis, Giannis, 2023. "Nonparametric estimates of price efficiency for the Greek infant milk market: Curing the curse of dimensionality with shannon entropy," Economic Modelling, Elsevier, vol. 121(C).
    24. Walheer, Barnabe & Hudik, Marek, 2019. "Reallocation of resources in multidivisional firms: A nonparametric approach," International Journal of Production Economics, Elsevier, vol. 214(C), pages 196-205.
    25. Barnabé Walheer, 2019. "Scale, congestion, and technical efficiency of European countries: a sector-based nonparametric approach," Empirical Economics, Springer, vol. 56(6), pages 2025-2078, June.
    26. Färe, Rolf & Karagiannis, Giannis, 2022. "Aggregating Farrell efficiencies without value data: The case of hospitals," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    27. Rolf Färe & Giannis Karagiannis, 2023. "Addition and aggregative efficiency," Journal of Productivity Analysis, Springer, vol. 59(3), pages 281-285, June.

  18. Karagiannis, Giannis & Knox Lovell, C.A., 2016. "Productivity measurement in radial DEA models with a single constant input," European Journal of Operational Research, Elsevier, vol. 251(1), pages 323-328.

    Cited by:

    1. Nguyen, Trang Thi Thuy & Pham, Binh Thai & Prior, Diego & van Hemmen, Stefan, 2022. "Performance of tax simplification around the world: A panel frontier analysis," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    2. Geraldo Souza & Eliane Gonçalves Gomes & Eliseu Roberto Alves, 2022. "Two-part fractional regression model with conditional FDH responses: an application to Brazilian agriculture," Annals of Operations Research, Springer, vol. 314(2), pages 393-409, July.
    3. Amar Oukil & Srikrishna Madhumohan Govindaluri, 2017. "A systematic approach for ranking football players within an integrated DEA‐OWA framework," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 38(8), pages 1125-1136, December.
    4. Van Puyenbroeck, Tom & Rogge, Nicky, 2017. "Geometric mean quantity index numbers with Benefit-of-the-Doubt weights," European Journal of Operational Research, Elsevier, vol. 256(3), pages 1004-1014.
    5. Hideyuki Mizobuchi, 2017. "Productivity indexes under Hicks neutral technical change," Journal of Productivity Analysis, Springer, vol. 48(1), pages 63-68, August.
    6. Acs, Zoltan & Lafuente, Esteban & Szerb, László, 2022. "A note on the configuration of the digital ecosystem in Latin America," TEC Empresarial, School of Business, Costa Rica Institute of Technology (ITCR), vol. 16(1), pages 1-19.
    7. Reza Fallahnejad & Mohammad Reza Mozaffari & Peter Fernandes Wanke & Yong Tan, 2024. "Nash Bargaining Game Enhanced Global Malmquist Productivity Index for Cross-Productivity Index," Games, MDPI, vol. 15(1), pages 1-21, January.
    8. Vincent Charles & Guillermo Díaz, 2017. "A Non-radial DEA Index for Peruvian Regional Competitiveness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 134(2), pages 747-770, November.
    9. Giannis Karagiannis & Georgia Paschalidou, 2017. "Assessing research effectiveness: a comparison of alternative nonparametric models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 456-468, April.
    10. Balk, B.M. & Zofío, J.L., 2018. "The Many Decompositions of Total Factor Productivity Change," ERIM Report Series Research in Management ERS-2018-003-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    11. Hideyuki Mizobuchi, 2017. "A superlative index number formula for the Hicks-Moorsteen productivity index," Journal of Productivity Analysis, Springer, vol. 48(2), pages 167-178, December.
    12. C. A. K. Lovell, 2016. "Recent Developments in Productivity Analysis," Pacific Economic Review, Wiley Blackwell, vol. 21(4), pages 417-444, October.
    13. Hideyuki Mizobuchi, 2016. "A Superlative Index Number Formula for the Hicks-Moorsteen Productivity Index," CEPA Working Papers Series WP032016, School of Economics, University of Queensland, Australia.
    14. Basso, Antonella & Casarin, Francesco & Funari, Stefania, 2018. "How well is the museum performing? A joint use of DEA and BSC to measure the performance of museums," Omega, Elsevier, vol. 81(C), pages 67-84.
    15. Ali Homayoni & Reza Fallahnejad & Farhad Hosseinzadeh Lotfi, 2022. "Cross Malmquist Productivity Index in Data Envelopment Analysis," 4OR, Springer, vol. 20(4), pages 567-602, December.
    16. Michael L. Polemis & Mike G. Tsionas, 2022. "Endogenous productivity: a new Bayesian perspective," Annals of Operations Research, Springer, vol. 318(1), pages 425-451, November.
    17. Lafuente, Esteban & Vaillant, Yancy & Rabetino, Rodrigo, 2023. "Digital disruption of optimal co-innovation configurations," Technovation, Elsevier, vol. 125(C).
    18. Lafuente, Esteban & Araya, Manuel & Leiva, Juan Carlos, 2022. "Assessment of local competitiveness: A composite indicator analysis of Costa Rican counties using the ‘Benefit of the Doubt’ model," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    19. Adel Hatami-Marbini & Aliasghar Arabmaldar & John Otu Asu, 2022. "Robust productivity growth and efficiency measurement with undesirable outputs: evidence from the oil industry," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(4), pages 1213-1254, December.
    20. Khoshroo, Alireza & Izadikhah, Mohammad & Emrouznejad, Ali, 2022. "Total factor energy productivity considering undesirable pollutant outputs: A new double frontier based malmquist productivity index," Energy, Elsevier, vol. 258(C).
    21. Fusco, Elisa & Vidoli, Francesco & Sahoo, Biresh K., 2018. "Spatial heterogeneity in composite indicator: A methodological proposal," Omega, Elsevier, vol. 77(C), pages 1-14.

  19. Giannis Karagiannis, 2015. "On structural and average technical efficiency," Journal of Productivity Analysis, Springer, vol. 43(3), pages 259-267, June.

    Cited by:

    1. Valentin Zelenyuk, 2023. "Productivity analysis: roots, foundations, trends and perspectives," Journal of Productivity Analysis, Springer, vol. 60(3), pages 229-247, December.
    2. Panagiotis Ravanos & Giannis Karagiannis, 2020. "Tricks with the BoD model and an application to the e-Government Development Index," Discussion Paper Series 2020_02, Department of Economics, University of Macedonia, revised May 2020.
    3. Streimikis, Justas & Yu, Zhiqian & Zhu, Ning & Baležentis, Tomas, 2022. "Achievements of the European Union member states toward the development of sustainable agriculture: A contribution to the structural efficiency approach," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    4. Manevska-Tasevska, Gordana & Hansson, Helena & Asmild, Mette & Surry, Yves, 2018. "Assessing the regional efficiency of Swedish agriculture under the CAP ‒ a multidirectional efficiency approach," 162nd Seminar, April 26-27, 2018, Budapest, Hungary 271971, European Association of Agricultural Economists.
    5. Valentin Zelenyuk & Valentyn Panchenko, 2023. "Bayesian Artificial Neural Networks for Frontier Efficiency Analysis," CEPA Working Papers Series WP022023, School of Economics, University of Queensland, Australia.
    6. Panagiotis Ravanos & Giannis Karagiannis, 2022. "In search for the Most Preferred Solution in Value Efficiency Analysis," Discussion Paper Series 2022_05, Department of Economics, University of Macedonia, revised Jul 2022.
    7. Valentin Zelenyuk, 2018. "Some Mathematical and Historical Clarifications on Aggregation in Efficiency and Productivity Analysis and Connection to Economic Theory," CEPA Working Papers Series WP032018, School of Economics, University of Queensland, Australia.
    8. Karagiannis, Giannis & Melfou, Katerina, 2015. "Efficiency analysis in a sample of PGI bean producers in Greece," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 16(2), pages 1-14.
    9. Färe, Rolf & Karagiannis, Giannis, 2017. "The denominator rule for share-weighting aggregation," European Journal of Operational Research, Elsevier, vol. 260(3), pages 1175-1180.
    10. Antonio Peyrache & Maria C. A. Silva, 2022. "Efficiency and Productivity Analysis from a System Perspective: Historical Overview," Springer Books, in: Duangkamon Chotikapanich & Alicia N. Rambaldi & Nicholas Rohde (ed.), Advances in Economic Measurement, chapter 0, pages 173-230, Springer.
    11. Färe, Rolf & Grosskopf, Shawna & Karagiannis, Giannis, 2018. "On technical inefficiency indicators at the industry level," International Journal of Production Economics, Elsevier, vol. 196(C), pages 333-334.
    12. Toloo, Mehdi & Keshavarz, Esmaeil & Hatami-Marbini, Adel, 2021. "Selecting data envelopment analysis models: A data-driven application to EU countries," Omega, Elsevier, vol. 101(C).
    13. Ali Homayoni & Reza Fallahnejad & Farhad Hosseinzadeh Lotfi, 2022. "Cross Malmquist Productivity Index in Data Envelopment Analysis," 4OR, Springer, vol. 20(4), pages 567-602, December.
    14. Antonio Peyrache & Maria C. A. Silva, 2019. "The Inefficiency of Production Systems and its decomposition," CEPA Working Papers Series WP052019, School of Economics, University of Queensland, Australia.
    15. Karagiannis, Giannis, 2023. "Decomposition and aggregation of tone efficiencies," Omega, Elsevier, vol. 119(C).
    16. Antonio Peyrache & Maria C. A. Silva, 2023. "Efficiency decomposition for multi-level multi-components production technologies," Journal of Productivity Analysis, Springer, vol. 60(3), pages 273-294, December.
    17. Karagiannis, Giannis, 2023. "Aggregating faculty members’ research effectiveness to the department or university level: Exact versus approximate solutions," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
    18. Valentin Zelenyuk, 2021. "Performance Analysis: Economic Foundations & Trends," CEPA Working Papers Series WP162021, School of Economics, University of Queensland, Australia.
    19. Karagiannis, Roxani & Karagiannis, Giannis, 2023. "Nonparametric estimates of price efficiency for the Greek infant milk market: Curing the curse of dimensionality with shannon entropy," Economic Modelling, Elsevier, vol. 121(C).
    20. Manevska-Tasevska, Gordana & Hansson, Helena & Asmild, Mette & Surry, Yves, 2021. "Exploring the regional efficiency of the Swedish agricultural sector during the CAP reforms ‒ multi-directional efficiency analysis approach," Land Use Policy, Elsevier, vol. 100(C).
    21. Färe, Rolf & Karagiannis, Giannis, 2022. "Aggregating Farrell efficiencies without value data: The case of hospitals," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    22. Rolf Färe & Giannis Karagiannis, 2023. "Addition and aggregative efficiency," Journal of Productivity Analysis, Springer, vol. 59(3), pages 281-285, June.

  20. Pavlos Almanidis & Giannis Karagiannis & Robin Sickles, 2015. "Semi-nonparametric spline modifications to the Cornwell–Schmidt–Sickles estimator: an analysis of US banking productivity," Empirical Economics, Springer, vol. 48(1), pages 169-191, February.
    See citations under working paper version above.
  21. Bert Balk & Rolf Färe & Giannis Karagiannis, 2015. "On directional scale elasticities," Journal of Productivity Analysis, Springer, vol. 43(1), pages 99-104, February.

    Cited by:

    1. Rolf Färe & Giannis Karagiannis, 2023. "Translation efficiency and directionally optimal scale," Journal of Economics, Springer, vol. 140(3), pages 259-273, December.
    2. Podinovski, Victor V., 2019. "Direct estimation of marginal characteristics of nonparametric production frontiers in the presence of undesirable outputs," European Journal of Operational Research, Elsevier, vol. 279(1), pages 258-276.
    3. Victor V. Podinovski & Ole Bent Olesen & Cláudia S. Sarrico, 2018. "Nonparametric Production Technologies with Multiple Component Processes," Operations Research, INFORMS, vol. 66(1), pages 282-300, January.
    4. Shen, Wanfang & Liu, Yufei & Wan, Guanjiang & Shi, Jianing & Liu, Wenbin, 2024. "Performance evaluation considering academic misconduct of China’s higher education institutions," Socio-Economic Planning Sciences, Elsevier, vol. 91(C).
    5. Victor V. Podinovski & Robert G. Chambers & Kazim Baris Atici & Iryna D. Deineko, 2016. "Marginal Values and Returns to Scale for Nonparametric Production Frontiers," Operations Research, INFORMS, vol. 64(1), pages 236-250, February.
    6. Peixin Duan, 2022. "How large of a grant size is appropriate? Evidence from the National Natural Science Foundation of China," PLOS ONE, Public Library of Science, vol. 17(2), pages 1-14, February.

  22. Karagiannis, Giannis & Melfou, Katerina, 2015. "Efficiency analysis in a sample of PGI bean producers in Greece," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 16(2), pages 1-14.

    Cited by:

    1. Martha Tampaki & Georgia Koutouzidou & Athanasios Ragkos & Katerina Melfou & Ioannis A. Giantsis, 2022. "Eco-Value and Public Perceptions for Indigenous Farm Animal Breeds and Local Plant Varieties, Focusing on Greece," Sustainability, MDPI, vol. 14(18), pages 1-16, September.

  23. Färe, Rolf & Karagiannis, Giannis, 2014. "A postscript on aggregate Farrell efficiencies," European Journal of Operational Research, Elsevier, vol. 233(3), pages 784-786.

    Cited by:

    1. Silva, Maria Conceição A., 2018. "Output-specific inputs in DEA: An application to courts of justice in Portugal," Omega, Elsevier, vol. 79(C), pages 43-53.
    2. Valentin Zelenyuk, 2023. "Productivity analysis: roots, foundations, trends and perspectives," Journal of Productivity Analysis, Springer, vol. 60(3), pages 229-247, December.
    3. Constantino, Michel & Candido, Osvaldo & Tabak, Benjamin M. & da Costa, Reginaldo Brito, 2017. "Modeling stochastic frontier based on vine copulas," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 595-609.
    4. Paolo Liberati & Raffaele Lagravinese & Giuliano Resce, 2017. "How Does Economic Social And Cultural Status Affect The Efficiency Of Educational Attainments? A Comparative Analysis On Pisa Results," Departmental Working Papers of Economics - University 'Roma Tre' 0217, Department of Economics - University Roma Tre.
    5. Valentin Zelenyuk, 2018. "Some Mathematical and Historical Clarifications on Aggregation in Efficiency and Productivity Analysis and Connection to Economic Theory," CEPA Working Papers Series WP032018, School of Economics, University of Queensland, Australia.
    6. Maria Conceição Portela, 2016. "Output-specific inputs in DEA: an application to courts," Working Papers de Gestão (Management Working Papers) 02, Católica Porto Business School, Universidade Católica Portuguesa.
    7. Karagiannis, Giannis & Melfou, Katerina, 2015. "Efficiency analysis in a sample of PGI bean producers in Greece," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 16(2), pages 1-14.
    8. Färe, Rolf & Karagiannis, Giannis, 2017. "The denominator rule for share-weighting aggregation," European Journal of Operational Research, Elsevier, vol. 260(3), pages 1175-1180.
    9. Chun-kei Tsang & Sung-ko Li, 2020. "Allocation of resources within subgroups of an industry: a case study in the Chinese industrial sector," Journal of Productivity Analysis, Springer, vol. 53(1), pages 125-139, February.
    10. Färe, Rolf & Grosskopf, Shawna & Walden, John, 2015. "Productivity change and fleet restructuring after transition to individual transferable quota management," Marine Policy, Elsevier, vol. 62(C), pages 318-325.
    11. Giannis Karagiannis, 2015. "On structural and average technical efficiency," Journal of Productivity Analysis, Springer, vol. 43(3), pages 259-267, June.
    12. Salvatore Greco & Alessio Ishizaka & Menelaos Tasiou & Gianpiero Torrisi, 2019. "On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 61-94, January.
    13. Barnabé Walheer, 2019. "Disaggregation for efficiency analysis," Journal of Productivity Analysis, Springer, vol. 51(2), pages 137-151, June.
    14. Ali Homayoni & Reza Fallahnejad & Farhad Hosseinzadeh Lotfi, 2022. "Cross Malmquist Productivity Index in Data Envelopment Analysis," 4OR, Springer, vol. 20(4), pages 567-602, December.
    15. Jin Ren & Xinrui Chen & Tingting Gao & Hao Chen & Lefeng Shi & Ming Shi, 2023. "New Digital Infrastructure’s Impact on Agricultural Eco-Efficiency Improvement: Influence Mechanism and Empirical Test—Evidence from China," IJERPH, MDPI, vol. 20(4), pages 1-22, February.
    16. Rolf Färe & Giannis Karagiannis, 2022. "Aggregation and decomposition of Farrell efficiencies," Operational Research, Springer, vol. 22(5), pages 5675-5683, November.
    17. Karagiannis, Giannis, 2023. "Decomposition and aggregation of tone efficiencies," Omega, Elsevier, vol. 119(C).
    18. Karagiannis, Roxani & Karagiannis, Giannis, 2018. "Intra- and inter-group composite indicators using the BoD model," Socio-Economic Planning Sciences, Elsevier, vol. 61(C), pages 44-51.
    19. Lagravinese, Raffaele & Liberati, Paolo & Resce, Giuliano, 2020. "The impact of economic, social and cultural conditions on educational attainments," Journal of Policy Modeling, Elsevier, vol. 42(1), pages 112-132.
    20. Karagiannis, Giannis, 2023. "Aggregating faculty members’ research effectiveness to the department or university level: Exact versus approximate solutions," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
    21. Valentin Zelenyuk, 2021. "Performance Analysis: Economic Foundations & Trends," CEPA Working Papers Series WP162021, School of Economics, University of Queensland, Australia.
    22. Färe, Rolf & Karagiannis, Giannis, 2022. "Aggregating Farrell efficiencies without value data: The case of hospitals," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).

  24. Giannis Karagiannis, 2014. "Modeling issues in applied efficiency analysis: agriculture," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 12-18.

    Cited by:

    1. Panagiotis Ravanos & Giannis Karagiannis, 2022. "In search for the Most Preferred Solution in Value Efficiency Analysis," Discussion Paper Series 2022_05, Department of Economics, University of Macedonia, revised Jul 2022.

  25. Färe, Rolf & Karagiannis, Giannis, 2014. "Benefit-of-the-doubt aggregation and the diet problem," Omega, Elsevier, vol. 47(C), pages 33-35.

    Cited by:

    1. Nguyen, Trang Thi Thuy & Pham, Binh Thai & Prior, Diego & van Hemmen, Stefan, 2022. "Performance of tax simplification around the world: A panel frontier analysis," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    2. Geraldo Souza & Eliane Gonçalves Gomes & Eliseu Roberto Alves, 2022. "Two-part fractional regression model with conditional FDH responses: an application to Brazilian agriculture," Annals of Operations Research, Springer, vol. 314(2), pages 393-409, July.
    3. Giménez, Víctor & Thieme, Claudio & Prior, Diego & Tortosa-Ausina, Emili, 2022. "Evaluation and determinants of preschool effectiveness in Chile," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    4. Panagiotis Ravanos & Giannis Karagiannis, 2020. "Tricks with the BoD model and an application to the e-Government Development Index," Discussion Paper Series 2020_02, Department of Economics, University of Macedonia, revised May 2020.
    5. Pereira, Miguel Alves & Camanho, Ana Santos & Marques, Rui Cunha & Figueira, José Rui, 2021. "The convergence of the World Health Organization Member States regarding the United Nations’ Sustainable Development Goal ‘Good health and well-being’," Omega, Elsevier, vol. 104(C).
    6. T. El Sayed & A. R. Zahran, 2020. "Child Wellbeing in Egypt: a Weighted Multidimensional Almost Dominance Approach," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 13(3), pages 993-1022, June.
    7. Giannis Karagiannis & Panagiotis Ravanos, 2023. "A Composite Indicator of Social Inclusion for EU based on the Inverted BoD Model," Discussion Paper Series 2023_02, Department of Economics, University of Macedonia, revised Feb 2023.
    8. Víctor Giménez & Diego Prior & Claudio Thieme & Emili Tortosa-Ausina, 2021. "International comparisons of the COVID-19 pandemic management: What can be learned from activity analysis techniques?," Working Papers 2021/12, Economics Department, Universitat Jaume I, Castellón (Spain).
    9. Pereira, Miguel Alves & Marques, Rui Cunha, 2022. "The ‘Sustainable Public Health Index’: What if public health and sustainable development are compatible?," World Development, Elsevier, vol. 149(C).
    10. Laurens Cherchye & Bram De Rock, 2024. "Nonparametric Analysis of Separable Production Technologies with Intermediate Inputs," Working Papers ECARES 2024-13, ULB -- Universite Libre de Bruxelles.
    11. Pereira, Miguel Alves & Camanho, Ana Santos & Figueira, José Rui & Marques, Rui Cunha, 2021. "Incorporating preference information in a range directional composite indicator: The case of Portuguese public hospitals," European Journal of Operational Research, Elsevier, vol. 294(2), pages 633-650.
    12. Färe, Rolf & Karagiannis, Giannis & Hasannasab, Maryam & Margaritis, Dimitris, 2019. "A benefit-of-the-doubt model with reverse indicators," European Journal of Operational Research, Elsevier, vol. 278(2), pages 394-400.
    13. Panagiotis Ravanos & Giannis Karagiannis, 2023. "On VEA, production trade-offs and weights restrictions," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 74(10), pages 2081-2093, October.
    14. Gong, Chengzhu & Gong, Nianjiao & Qi, Rui & Yu, Shiwei, 2020. "Assessment of natural gas supply security in Asia Pacific: Composite indicators with compromise Benefit-of-the-Doubt weights," Resources Policy, Elsevier, vol. 67(C).
    15. Tom Puyenbroeck, 2018. "On the Output Orientation of the Benefit-of-the-Doubt-Model," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 139(2), pages 415-431, September.
    16. Mariano, Enzo Barberio & Sobreiro, Vinicius Amorim & Rebelatto, Daisy Aparecida do Nascimento, 2015. "Human development and data envelopment analysis: A structured literature review," Omega, Elsevier, vol. 54(C), pages 33-49.
    17. Rolf Färe & Shawna Grosskopf & Giannis Karagiannis & Dimitris Margaritis, 2017. "Data envelopment analysis and its related linear programming models," Annals of Operations Research, Springer, vol. 250(1), pages 37-43, March.

  26. Robert Chambers & Giannis Karagiannis & Vangelis Tzouvelekas, 2014. "Productivity accounting for separable technologies," Journal of Productivity Analysis, Springer, vol. 41(1), pages 41-50, February.

    Cited by:

    1. Chambers, Robert G. & Tzouvelekas, Vangelis, 2013. "Estimating population dynamics without population data," Journal of Environmental Economics and Management, Elsevier, vol. 66(3), pages 510-522.

  27. Rolf Färe & Giannis Karagiannis, 2014. "Radial and directional measures of the rate of technical change," Journal of Economics, Springer, vol. 112(2), pages 183-199, June.

    Cited by:

    1. Rolf Färe & Giannis Karagiannis, 2023. "Translation efficiency and directionally optimal scale," Journal of Economics, Springer, vol. 140(3), pages 259-273, December.
    2. Felipe Figueiredo Silva & Lilyan E. Fulginiti & Richard K. Perrin & Marcelo Jose Braga, 2022. "The increasing opportunity cost of sequestering CO2 in the Brazilian Amazon forest," Empirical Economics, Springer, vol. 62(2), pages 439-460, February.
    3. Silva, Felipe & Fulginiti, Lilyan E. & Perrin, Richard K., 2016. "Did technical change in agricultural production decrease the emission of pollutants on the Amazon Forest during 1990-2009?," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 230092, Southern Agricultural Economics Association.
    4. Silva, F.D.F. & Fulginiti, L. & Perrin, R., 2018. "Agricultural productivity and forest preservation in the Brazilian Amazon," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277167, International Association of Agricultural Economists.
    5. Pang, Rui-Zhi & Deng, Zhong-Qi & Hu, Jin-li, 2015. "Clean energy use and total-factor efficiencies: An international comparison," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1158-1171.

  28. Karagiannis, Giannis, 2012. "More on the Fox paradox," Economics Letters, Elsevier, vol. 116(3), pages 333-334.

    Cited by:

    1. Mosnier, Claire & Boukhriss, Sanae & Minviel, Jean-Joseph, 2023. "Does pig production improves cattle farm sustainability in the French massif central? A hierarchical constrained directional benefit-of-the-doubt approach," Agricultural Systems, Elsevier, vol. 210(C).

  29. Giannis Karagiannis & Vangelis Tzouvelekas, 2012. "The damage-control effect of pesticides on total factor productivity growth," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 39(3), pages 417-437, July.
    See citations under working paper version above.
  30. Konstantinos Giannakas & Giannis Karagiannis & Vangelis Tzouvelekas, 2012. "Spillovers, Efficiency, and Productivity Growth in Advertising," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(5), pages 1154-1170.

    Cited by:

    1. He, Xi & Lopez, Rigoberto A. & Liu, Yizao, 2015. "Substitution between Online and Offline Advertising: Evidence from the Carbonated Soft Drink Industry," Working Papers 37, University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy.
    2. Yingjue Zhou & Tieming Liu & Gangshu Cai, 2019. "Impact of In-Store Promotion and Spillover Effect on Private Label Introduction," Service Science, INFORMS, vol. 11(2), pages 96-112, June.
    3. Ernesto Lopez‐Valeiras & Jacobo Gomez‐Conde & Teresa Fernandez‐Rodriguez, 2016. "Firm Size and Financial Performance: Intermediate Effects of Indebtedness," Agribusiness, John Wiley & Sons, Ltd., vol. 32(4), pages 454-465, November.

  31. E. Piatyszek & G. Karagiannis, 2012. "A model-based approach for a systematic risk analysis of local flood emergency operation plans: a first step toward a decision support system," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 61(3), pages 1443-1462, April.

    Cited by:

    1. Claudia Paciarotti & Inna Valiakhmetova, 2021. "Evaluating Disaster Operations Management: An Outcome‐Process Integrated Approach," Production and Operations Management, Production and Operations Management Society, vol. 30(2), pages 543-562, February.
    2. Qiang Fu & Fanli Gong & Qiuxiang Jiang & Tianxiao Li & Kun Cheng & He Dong & Xiaosong Ma, 2014. "Risk assessment of the city water resources system based on Pansystems Observation-Control Model of Periphery," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 71(3), pages 1899-1912, April.
    3. Priscila da Cunha Luz Barcellos & Marcello Silva Costa & Marcio Cataldi & Carlos Alberto Pereira Soares, 2017. "Management of non-structural measures in the prevention of flash floods: a case study in the city of Duque de Caxias, state of Rio de Janeiro, Brazil," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 89(1), pages 313-330, October.
    4. Anvarifar, Fatemeh & Voorendt, Mark Z. & Zevenbergen, Chris & Thissen, Wil, 2017. "An application of the Functional Resonance Analysis Method (FRAM) to risk analysis of multifunctional flood defences in the Netherlands," Reliability Engineering and System Safety, Elsevier, vol. 158(C), pages 130-141.
    5. Mengna Zhang & Qisong Huang & Hua Liu, 2022. "A Multimodal Data Analysis Approach to Social Media during Natural Disasters," Sustainability, MDPI, vol. 14(9), pages 1-21, May.
    6. Maurizio Bevilacqua & Filippo Ciarapica & Claudia Paciarotti, 2014. "A BPR approach to hydrogeological risk management," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 71(3), pages 1995-2012, April.
    7. Zhou, Jianfeng & Reniers, Genserik & Khakzad, Nima, 2016. "Application of event sequence diagram to evaluate emergency response actions during fire-induced domino effects," Reliability Engineering and System Safety, Elsevier, vol. 150(C), pages 202-209.

  32. Christos Pantzios & Giannis Karagiannis & Vangelis Tzouvelekas, 2011. "Parametric decomposition of the input-oriented Malmquist productivity index: with an application to Greek aquaculture," Journal of Productivity Analysis, Springer, vol. 36(1), pages 21-31, August.
    See citations under working paper version above.
  33. Xueqin Zhu & Giannis Karagiannis & Alfons Oude Lansink, 2011. "The Impact of Direct Income Transfers of CAP on Greek Olive Farms’ Performance: Using a Non‐Monotonic Inefficiency Effects Model," Journal of Agricultural Economics, Wiley Blackwell, vol. 62(3), pages 630-638, September.

    Cited by:

    1. Jean Joseph Minviel & Kristof De Witte, 2016. "The influence of public subsidies on farm technical efficiency: A robust conditional nonparametric approach," Working Papers SMART 16-10, INRAE UMR SMART.
    2. Claudio Liberati & Concetta Cardillo & Antonella Di Fonzo, 2021. "Sustainability and competitiveness in farms: An evidence of Lazio region agriculture through FADN data analysis," Economia agro-alimentare, FrancoAngeli Editore, vol. 23(3), pages 1-22.
    3. Basurto Hernandez, Saul & Maddison, David & Banerjee, Anindya, 2018. "The effect of PROCAMPO on farms’ technical efficiency: A Stochastic Frontier Analysis," 2018 Annual Meeting, August 5-7, Washington, D.C. 274376, Agricultural and Applied Economics Association.
    4. Minviel, Jean Joseph & Latruffe, Laure, 2014. "Meta-regression analysis of the impact of agricultural subsidies on farm technical efficiency," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182767, European Association of Agricultural Economists.
    5. Ewa Kiryluk-Dryjska & Agnieszka Baer-Nawrocka, 2021. "Regional Differences in Benefits from the EU Common Agricultural Policy in Poland and Their Policy Implications," Agriculture, MDPI, vol. 11(4), pages 1-14, March.
    6. Quiroga, Sonia & Suárez, Cristina & Fernández-Haddad, Zaira & Philippidis, George, 2017. "Levelling the playing field for European Union agriculture: Does the Common Agricultural Policy impact homogeneously on farm productivity and efficiency?," Land Use Policy, Elsevier, vol. 68(C), pages 179-188.
    7. Laure Latruffe & Yann Desjeux, 2016. "Common Agricultural Policy support, technical efficiency and productivity change in French agriculture," Review of Agricultural, Food and Environmental Studies, Springer, vol. 97(1), pages 15-28, June.
    8. Jean Joseph Minviel & Timo Sipiläinen, 2021. "A dynamic stochastic frontier approach with persistent and transient inefficiency and unobserved heterogeneity," Agricultural Economics, International Association of Agricultural Economists, vol. 52(4), pages 575-589, July.
    9. Aldona Mrówczyńska-Kamińska & Ewelina Szuba-Barańska & Walenty Poczta, 2021. "Wyniki produkcyjne oraz efektywność agrobiznesu w krajach Europy Środkowo-Wschodniej," Ekonomista, Polskie Towarzystwo Ekonomiczne, issue 1, pages 87-117.
    10. Maria Martinez Cillero & Michael Wallace & Fiona Thorne & James Breen, 2021. "Analyzing the Impact of Subsidies on Beef Production Efficiency in Selected European Union Countries. A Stochastic Metafrontier Approach," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(5), pages 1903-1923, October.
    11. Jean Joseph Minviel & Timo Sipiläinen, 2018. "Dynamic stochastic analysis of the farm subsidy-efficiency link: evidence from France," Journal of Productivity Analysis, Springer, vol. 50(1), pages 41-54, October.
    12. Ewa Kiryluk-Dryjska & Agnieszka Baer-Nawrocka & Obinna Okereke, 2022. "The Environmental and Climatic CAP Measures in Poland vs. Farmers’ Expectations—Regional Analysis," Energies, MDPI, vol. 15(13), pages 1-13, June.
    13. Giannis Karagiannis, 2014. "Modeling issues in applied efficiency analysis: agriculture," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 12-18.
    14. Skevas, Ioannis, 2020. "Inference in the spatial autoregressive efficiency model with an application to Dutch dairy farms," European Journal of Operational Research, Elsevier, vol. 283(1), pages 356-364.
    15. Deng, Na-Qian & Liu, Li-Qiu & Deng, Ying-Zhi, 2018. "Estimating the effects of restructuring on the technical and service-quality efficiency of electricity companies in China," Utilities Policy, Elsevier, vol. 50(C), pages 91-100.
    16. Michelle Phillips, 2013. "Inefficiency in Japanese water utility firms: a stochastic frontier approach," Journal of Regulatory Economics, Springer, vol. 44(2), pages 197-214, October.
    17. Kiryluk-Dryjska, Ewa & Baer-Nawrocka, Agnieszka, 2019. "Reforms of the Common Agricultural Policy of the EU: Expected results and their social acceptance," Journal of Policy Modeling, Elsevier, vol. 41(4), pages 607-622.
    18. Filippini, Massimo & Wetzel, Heike, 2014. "The impact of ownership unbundling on cost efficiency: Empirical evidence from the New Zealand electricity distribution sector," Energy Economics, Elsevier, vol. 45(C), pages 412-418.

  34. Giannis Karagiannis & Vangelis Tzouvelekas, 2010. "Sectoral linkages and industrial efficiency: a dilemma or a requisition in identifying development priorities?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 45(1), pages 207-233, August.
    See citations under working paper version above.
  35. Palivos, Theodore & Karagiannis, Giannis, 2010. "The Elasticity Of Substitution As An Engine Of Growth," Macroeconomic Dynamics, Cambridge University Press, vol. 14(5), pages 617-628, November.
    See citations under working paper version above.
  36. Robert G. Chambers & Giannis Karagiannis & Vangelis Tzouvelekas, 2010. "Another Look at Pesticide Productivity and Pest Damage," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(5), pages 1401-1419.

    Cited by:

    1. Fadhuile, Adelaide & Lemarie, Stephane & Pirotte, Alain, 2011. "Pesticides Uses in Crop Production: What Can We Learn from French Farmers Practices?," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103654, Agricultural and Applied Economics Association.
    2. Brown, Zachary S. & Connor, Lawson & Rejesus, Roderick M. & Yorobe, Jose M., 2021. "Landscape-level feedbacks in the demand for transgenic pesticidal corn in the Philippines," Ecological Economics, Elsevier, vol. 180(C).
    3. Haggblade, Steven & Smale, Melinda & Kergna, Alpha & Thériault, Veronique & Assima, Amidou, 2016. "Causes And Consequences Of Increasing Herbicide Use In Mali," Feed the Future Innovation Lab for Food Security Policy Research Papers 259074, Michigan State University, Department of Agricultural, Food, and Resource Economics, Feed the Future Innovation Lab for Food Security (FSP).
    4. Tolhurst, Tor N. & DeMars, Christopher & Klonsky, Karen & Goodhue, Rachael E. & Zhang, Minghua, 2017. "Are Farmers Good Neighbors? Self-Regulation of Pesticide Applications near Schools and Daycares in California," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258393, Agricultural and Applied Economics Association.
    5. Carpentier, A. & Reboud, X., 2018. "Why farmers consider pesticides the ultimate in crop protection: economic and behavioral insights," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277528, International Association of Agricultural Economists.
    6. Konstantinos Chatzimichael & Margarita Genius & Vangelis Tzouvelekas, 2020. "Pesticide Use, Health Impairments and Economic Losses Under Rational Farmers Behavior," Working Papers 2003, University of Crete, Department of Economics.
    7. Konstantinos Chatzimichael & Margarita Genius & Vangelis Tzouvelekas, 2017. "Health-Damaging Inputs, Workers Health Status and Productivity Measurement," Working Papers 1701, University of Crete, Department of Economics.
    8. Daniel C. Voica & Troy G. Schmitz, 2022. "Trading risk for ambiguity: Production versus health under pesticide application," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(4), pages 1327-1342, August.
    9. Yeh, D. Adeline & Gomez, Miguel I. & Lin Lawell, C.-Y. Cynthia, 2020. "Sustainable Pest Management Under Uncertainty: A Dynamic Bioeconomic Analysis of Lowbush Blueberry Production," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304326, Agricultural and Applied Economics Association.
    10. Ma, Xingliang & Smale, Melinda & Spielman, David & Zambrano, Patricia & Nazli, Hina & Zaidi, Fatima, 2016. "A question of integrity: Variants of Bt cotton, pesticides, and productivity in Pakistan," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235527, Agricultural and Applied Economics Association.
    11. Voica, Daniel C. & Schmitz, Troy G., 2020. "Trading Risk for Ambiguity: Consumption versus Health under Pesticide Application," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304409, Agricultural and Applied Economics Association.
    12. Adélaïde Fadhuile & Stéphane Lemarié & Alain Pirotte, 2016. "Disaggregating the Demand for Pesticides: Does it Matter?," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(2), pages 223-252, June.
    13. Dimitris Christopoulos & Margarita Genius & Vangelis Tzouvelekas, 2021. "Farm and non-farm labor decisions and household efficiency," Journal of Productivity Analysis, Springer, vol. 56(1), pages 15-31, August.
    14. Ainsley, Matthew & Kosoy, Nicolas, 2015. "The tragedy of bird scaring," Ecological Economics, Elsevier, vol. 116(C), pages 122-131.
    15. Ma, Xingliang & Smale, Melinda & Spielman, David J. & Zambrano, Patricia & Nazli, Hina & Zaidi, Fatima, 2016. "Varietal integrity, damage abatement, and productivity: Evidence from the cultivation of Bt cotton in Pakistan:," IFPRI discussion papers 1520, International Food Policy Research Institute (IFPRI).
    16. Simon Akahoua N'cho & Monique Mourits & Jonne Rodenburg & Alfons Oude Lansink, 2019. "Inefficiency of manual weeding in rainfed rice systems affected by parasitic weeds," Agricultural Economics, International Association of Agricultural Economists, vol. 50(2), pages 151-163, March.
    17. Carpentier, Alain, 2017. "Risk Aversion And Pesticide Use: Further Insights From Prospect Theory," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 261265, European Association of Agricultural Economists.

  37. Giannis Karagiannis & Vangelis Tzouvelekas, 2009. "Measuring technical efficiency in the stochastic varying coefficient frontier model," Agricultural Economics, International Association of Agricultural Economists, vol. 40(4), pages 389-396, July.
    See citations under working paper version above.
  38. Karagiannis, Giannis & Tzouvelekas, Vangelis, 2009. "Parametric Measurement of Time-Varying Technical Inefficiency: Results from Competing Models," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 10(1), pages 1-30.

    Cited by:

    1. Madau, Fabio A., 2015. "Technical and Scale Efficiency in the Italian Citrus Farming: Comparison between SFA and DEA Approaches," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 16(2), pages 1-13.
    2. Narangerel Ganbold & Shah Fahad & Hua Li & Tumendemberel Gungaa, 2022. "An evaluation of subsidy policy impacts, transient and persistent technical efficiency: A case of Mongolia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(7), pages 9223-9242, July.
    3. Alejandro Arvelo-Martín & Juan José Díaz-Hernández & Ignacio Abásolo-Alessón, 2019. "Hospital productivity bias when not adjusting for cost heterogeneity: The case of Spain," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-17, June.
    4. Berisso Oumer & Heshmati Almas, 2020. "Farm-heterogeneity and persistent and transient productive efficiencies in Ethiopia’s smallholder cereal farming," IZA Journal of Development and Migration, Sciendo & Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 11(1), pages 1-23, January.
    5. Manuel Salas‐Velasco, 2020. "Assessing the performance of Spanish secondary education institutions: Distinguishing between transient and persistent inefficiency, separated from heterogeneity," Manchester School, University of Manchester, vol. 88(4), pages 531-555, July.

  39. Ariel Dinar & Giannis Karagiannis & Vangelis Tzouvelekas, 2007. "Evaluating the impact of agricultural extension on farms' performance in Crete: a nonneutral stochastic frontier approach," Agricultural Economics, International Association of Agricultural Economists, vol. 36(2), pages 135-146, March.

    Cited by:

    1. Kathrin Hasler & Hans-Werner Olfs & Onno Omta & Stefanie Bröring, 2016. "Drivers for the Adoption of Eco-Innovations in the German Fertilizer Supply Chain," Sustainability, MDPI, vol. 8(8), pages 1-18, July.
    2. Hailu, Getu & Weersink, Alfons & Minten, Bart J., 2015. "Rural Organizations, Agricultural Technologies and Production Efficiency of Teff in Ethiopia," 2015 Conference, August 9-14, 2015, Milan, Italy 211702, International Association of Agricultural Economists.
    3. Andras Tothmihaly, & Stephan von Cramon-Taubadel, & Verina Ingram., 2017. "How can the environmental efficiency of Indonesian cocoa farms be increased?," GlobalFood Discussion Papers 258586, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
    4. Theodoros Skevas & Teresa Serra, 2016. "The role of pest pressure in technical and environmental inefficiency analysis of Dutch arable farms: an event-specific data envelopment approach," Journal of Productivity Analysis, Springer, vol. 46(2), pages 139-153, December.
    5. Maria Vrachioli & Spiro E. Stefanou & Vangelis Tzouvelekas, 2021. "Impact Evaluation of Alternative Irrigation Technology in Crete: Correcting for Selectivity Bias," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(3), pages 551-574, July.
    6. Seungki Lee & GianCarlo Moschini, 2020. "Estimating the Value of Innovation and Extension Information: SCNResistant Soybean Varieties," Center for Agricultural and Rural Development (CARD) Publications 20-wp603, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    7. Pascucci, Stefano & de-Magistris, Tiziana, 2011. "The effects of changing regional Agricultural Knowledge and Innovation System on Italian farmers’ strategies," Agricultural Systems, Elsevier, vol. 104(9), pages 746-754.
    8. Iordanis Parikoglou & Grigorios Emvalomatis & Fiona Thorne, 2022. "Precision livestock agriculture and productive efficiency: The case of milk recording in Ireland," Agricultural Economics, International Association of Agricultural Economists, vol. 53(S1), pages 109-120, November.
    9. Marielle Berriet-Solliec & Jacques Baudry & Pierre Labarthe, 2010. "L'évaluation des politiques à l'épreuve des faits : apports des débats autour des approches evidence based policies," INRA UMR CESAER Working Papers 2010/5, INRA UMR CESAER, Centre d'’Economie et Sociologie appliquées à l'’Agriculture et aux Espaces Ruraux.
    10. Zahid Ullah & Sarfraz Hassan & Azhar Abbas & Raza Ullah, 2024. "A Comprehensive Farm Efficiency Analysis of Apple Growers in Newley Merged District South Waziristan," Journal of Economic Impact, Science Impact Publishers, vol. 6(1), pages 44-52.
    11. Djuraeva, Mukhayyo & Bobojonov, Ihtiyor & Kuhn, Lena & Glauben, Thomas, 2023. "The impact of agricultural extension type and form on technical efficiency under transition: An empirical assessment of wheat production in Uzbekistan," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 203-221.
    12. Basurto Hernandez, Saul & Maddison, David & Banerjee, Anindya, 2018. "The effect of PROCAMPO on farms’ technical efficiency: A Stochastic Frontier Analysis," 2018 Annual Meeting, August 5-7, Washington, D.C. 274376, Agricultural and Applied Economics Association.
    13. Mohammed, Sadick & Abdulai, Awudu, 2021. "Extension Participation and Improved Technology Adoption: Impact on Efficiency and Welfare of Farmers in Ghana," 2021 Conference, August 17-31, 2021, Virtual 315362, International Association of Agricultural Economists.
    14. Minviel, Jean Joseph & Latruffe, Laure, 2014. "Meta-regression analysis of the impact of agricultural subsidies on farm technical efficiency," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182767, European Association of Agricultural Economists.
    15. Meike Wollni & Bernhard Brümmer, 2009. "Productive efficiency of specialty and conventional coffee farmers in Costa Rica: Accounting for technological heterogeneity and self-selection," Courant Research Centre: Poverty, Equity and Growth - Discussion Papers 13, Courant Research Centre PEG.
    16. Phu Nguyen-Van & Nguyen To-The, 2016. "Technical efficiency and agricultural policy: evidence from the teaproduction in Vietnam," Review of Agricultural, Food and Environmental Studies, INRA Department of Economics, vol. 97(3), pages 173-184.
    17. Tuan Nguyen-Anh & Chinh Hoang-Duc & Tuyen Tiet & Phu Nguyen-Van & Nguyen To-The, 2022. "Composite effects of human, natural and social capitals on sustainable food-crop farming in Sub-Saharan Africa," Post-Print hal-03927534, HAL.
    18. Osti, Surendra & Bampasidou, Maria & Fannin, J. Matthew, 2018. "Revisiting Farm efficiency of Rice-Crawfish farmers: Accounting for the H-2A program," 2018 Annual Meeting, August 5-7, Washington, D.C. 274339, Agricultural and Applied Economics Association.
    19. Mugonola, Basil & Vranken, Liesbet & Maertens, Miet & Deckers, Jozef & Taylor, Daniel B & Bonabana-Wabbi, Jackline & Mathijs, Erik, 2013. "Soil and water conservation technologies and technical efficiency in banana production in upper Rwizi micro-catchment, Uganda," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 8(1), pages 1-16, July.
    20. Sille, AG & Salvioni, C. & Benedetti, R., 2015. "Spatial Heterogeneity in Production Functions Models," 2015 Conference, August 9-14, 2015, Milan, Italy 211343, International Association of Agricultural Economists.
    21. Mohammad Mahbubur Rahman & Jeffry D. Connor, 2022. "Impact of Agricultural Extension Services on Fertilizer Use and Farmers’ Welfare: Evidence from Bangladesh," Sustainability, MDPI, vol. 14(15), pages 1-16, July.
    22. Pedro Cerdán-Infantes & Alessandro Maffioli & Diego Ubfal, 2008. "The Impact of Agricultural Extension Services: The Case of Grape Production in Argentina," OVE Working Papers 0508, Inter-American Development Bank, Office of Evaluation and Oversight (OVE).
    23. Boris Bravo-Ureta & William Greene & Daniel Solís, 2012. "Technical efficiency analysis correcting for biases from observed and unobserved variables: an application to a natural resource management project," Empirical Economics, Springer, vol. 43(1), pages 55-72, August.
    24. Alphonse Singbo & Alfons Oude Lansink & Grigorios Emvalomatis, 2014. "Estimating farmers’ productive and marketing inefficiency: an application to vegetable producers in Benin," Journal of Productivity Analysis, Springer, vol. 42(2), pages 157-169, October.
    25. Ioannis Skevas, 2023. "A novel modeling framework for quantifying spatial spillovers on total factor productivity growth and its components," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(4), pages 1221-1247, August.
    26. Mussa, Richard, 2017. "Long-term Effects of Early Life Maize Yield on Maize Productivity and Efficiency in Rural Malawi," MPRA Paper 75975, University Library of Munich, Germany.
    27. Palacios-Lopez,Amparo & López,Ramón & Palacios-Lopez,Amparo & López,Ramón, 2015. "Market imperfections exacerbate the gender gap: the case of Malawi," Policy Research Working Paper Series 7300, The World Bank.
    28. Cerdan-Infantes, Pedro & Maffioli, Alessandro & Ubfal, Diego, 2009. "Improving Technology Adoption in Agriculture through Extension Services: Evidence from Uruguay," IDB Publications (Working Papers) 2906, Inter-American Development Bank.
    29. Ragasa, Catherine & Mazunda, John, 2018. "The impact of agricultural extension services in the context of a heavily subsidized input system: The case of Malawi," World Development, Elsevier, vol. 105(C), pages 25-47.
    30. Lohr, Luanne & Park, Timothy, 2012. "Demand for Private Marketing Expertise by Organic Farmers: A Quantile Analysis Based on Counts," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 44(2), pages 157-171, May.
    31. Saldias, Rodrigo & von Cramon-Taubadel, Stephan, 2012. "Access to credit and the determinants of technical inefficiency among specialized small farmers in Chile," DARE Discussion Papers 1211, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    32. Micheels, Eric T. & Nolan, James F., 2016. "Examining the effects of absorptive capacity and social capital on the adoption of agricultural innovations: A Canadian Prairie case study," Agricultural Systems, Elsevier, vol. 145(C), pages 127-138.
    33. Niu, Chiyu & Ragasa, Catherine, 2018. "Selective attention and information loss in the lab-to-farm knowledge chain: The case of Malawian agricultural extension programs," Agricultural Systems, Elsevier, vol. 165(C), pages 147-163.
    34. Nguyen To-The & Tuan Nguyen-Anh, 2021. "Impact of government intervention to maize efficiency at farmer’s level across time: a robust evidence in Northern Vietnam," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(2), pages 2038-2061, February.
    35. Herbert, Ainembabazi & Asten, Piet & Vanlauwe, Bernard & Ouma, Emily & Blomme, Guy & Birachi, Eliud & Manyong, Victor M. & Macharia, Ibrahim, 2015. "Improving the adoption of agricultural technologies and farm performance through farmer groups: Evidence from the Great Lakes Region of Africa," 2015 Conference, August 9-14, 2015, Milan, Italy 210939, International Association of Agricultural Economists.
    36. Micheels, Eric T., 2015. "Pr - Factors Affecting Absorptive Capacity Among Western Canadian Grain Farms," 20th Congress, Quebec, Canada, 2015 345757, International Farm Management Association.
    37. Palacios-López, Amparo & López, Ramon E., 2014. "Gender Differences in Agricultural Productivity: The Role of Market Imperfections," Working Papers 164061, University of Maryland, Department of Agricultural and Resource Economics.
    38. Singbo, Alphonse G. & Emvalomatis, Grigorios & Alfons, Oude Lansink, 2013. "Assessing the impact of crop specialization on farms’ performance in vegetables farming in Benin: a non-neutral stochastic frontier approach," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149172, Agricultural and Applied Economics Association.
    39. Gonzalez Diez, Verónica M. & Ibarrarán, Pablo & Maffioli, Alessandro & Rozo, Sandra, 2009. "The Impact of Technology Adoption on Agricultural Productivity: The Case of the Dominican Republic," IDB Publications (Working Papers) 3017, Inter-American Development Bank.
    40. Makate, Clifton & Makate, Marshall, 2019. "Interceding role of institutional extension services on the livelihood impacts of drought tolerant maize technology adoption in Zimbabwe," Technology in Society, Elsevier, vol. 56(C), pages 126-133.
    41. A. G. Billé & C. Salvioni & R. Benedetti, 2018. "Modelling spatial regimes in farms technologies," Journal of Productivity Analysis, Springer, vol. 49(2), pages 173-185, June.
    42. Giannis Karagiannis, 2014. "Modeling issues in applied efficiency analysis: agriculture," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 12-18.
    43. Skevas, Theodoros & Lansink, Alfons Oude & Stefanou, Spiro E., 2012. "Measuring technical efficiency in the presence of pesticide spillovers and production uncertainty: The case of Dutch arable farms," European Journal of Operational Research, Elsevier, vol. 223(2), pages 550-559.
    44. Lohr, Luanne & Park, Timothy A., 2009. "Labor Pains: Valuing Seasonal versus Year-Round Labor on Organic Farms," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 34(2), pages 1-16, August.
    45. Timpanaro, Giuseppe & Foti, Vera Teresa, 2016. "Innovation and the role of Social capital in nursery industry: the case of Sicilian micropropagation companies," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 17(1), January.
    46. Andras Tothmihaly, & Verina Ingram., 2017. "How can the productivity of Indonesian cocoa farms be increased?," GlobalFood Discussion Papers 258588, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
    47. Peter ADAMIŠIN & Rastislav KOTULIČ & Ivana KRAVČÁKOVÁ VOZÁROVÁ & Roman VAVREK, 2015. "Natural climatic conditions as a determinant of productivity and economic efficiency of agricultural entities," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 61(6), pages 265-274.
    48. Mussa, Richard, 2014. "Externalities of Education on Efficiency and Production Uncertainty of Maize in Rural Malawi," MPRA Paper 54628, University Library of Munich, Germany.
    49. Labarthe, Pierre & Laurent, Catherine, 2013. "Privatization of agricultural extension services in the EU: Towards a lack of adequate knowledge for small-scale farms?," Food Policy, Elsevier, vol. 38(C), pages 240-252.
    50. Boris E. Bravo-Ureta, 2014. "Stochastic frontiers, productivity effects and development projects," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 51-58.

  40. Giannis Karagiannis & Vangelis Tzouvelekas, 2007. "A flexible time-varying specification of the technical inefficiency effects model," Empirical Economics, Springer, vol. 33(3), pages 531-540, November.
    See citations under working paper version above.
  41. Giannis Karagiannis & Alexander Sarris, 2005. "Measuring and explaining scale efficiency with the parametric approach: the case of Greek tobacco growers," Agricultural Economics, International Association of Agricultural Economists, vol. 33(s3), pages 441-451, November.

    Cited by:

    1. Isabel Dinis, 2023. "Exploring the Drivers of Microregional Agricultural Labor Productivity: Empirical Insights from Portugal," Agriculture, MDPI, vol. 13(11), pages 1-19, November.
    2. Theodoros Skevas & Teresa Serra, 2016. "The role of pest pressure in technical and environmental inefficiency analysis of Dutch arable farms: an event-specific data envelopment approach," Journal of Productivity Analysis, Springer, vol. 46(2), pages 139-153, December.
    3. Lien, Gudbrand & Kumbhakar, Subal C. & Alem, Habtamu, 2018. "Endogeneity, heterogeneity, and determinants of inefficiency in Norwegian crop-producing farms," International Journal of Production Economics, Elsevier, vol. 201(C), pages 53-61.
    4. Basurto Hernandez, Saul & Maddison, David & Banerjee, Anindya, 2018. "The effect of PROCAMPO on farms’ technical efficiency: A Stochastic Frontier Analysis," 2018 Annual Meeting, August 5-7, Washington, D.C. 274376, Agricultural and Applied Economics Association.
    5. Kumbhakar, Subal C. & Lien, Gudbrand D. & Hardaker, J. Brian, 2011. "Technical efficiency in competing panel data models: A study of Norwegian grain farming," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114673, European Association of Agricultural Economists.
    6. Madau, Fabio A., 2015. "Technical and Scale Efficiency in the Italian Citrus Farming: Comparison between SFA and DEA Approaches," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 16(2), pages 1-13.
    7. Minviel, Jean Joseph & Latruffe, Laure, 2014. "Meta-regression analysis of the impact of agricultural subsidies on farm technical efficiency," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182767, European Association of Agricultural Economists.
    8. Rudinskaya, T. & Náglová, Z., 2018. "Impact of Subsidies on Technical Efficiency of Meat Processing Companies," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 10(1).
    9. Hatzizisis, L. & Dotas, V. & Zagorakis, K. & Gourdouvelis, D. & Dotas, D., 2019. "Technical Efficiency Measurement in Broiler Chicken Production System: A Case Study in Epirus, Greece," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 0(Issue 1).
    10. Rouf, Abdur, 2018. "A Novel Approach to Verifying Evaluation of Agricultural Products with Productive Efficiency: An Empirical Study," 2018 Conference (62nd), February 7-9, 2018, Adelaide, Australia 273523, Australian Agricultural and Resource Economics Society.
    11. DJOKOTO, Justice Gameli & OWUSU, Victor & AWUNYO-VITOR, Dadson, 2020. "Is Organic Agriculture More Scale Efficient Than Conventional Agriculture? The Case Of Cocoa Cultivation In Ghana," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 23(2), October.
    12. Marie-Noelle Duquenne & Maria Tsiapa & Valantis Tsiakos, 2019. "Contribution of the Common Agricultural Policy to agricultural productivity of EU regions during 2004–2012 period," Review of Agricultural, Food and Environmental Studies, Springer, vol. 100(1), pages 47-68, December.
    13. Salustiano, Silvia Ferreira Marques & Barbosa, Natália & Moreira, Tito Belchior Silva, 2020. "Do subsidies drive technical efficiency? The case of portuguese firms in the agribusiness sector," Revista de Economia e Sociologia Rural (RESR), Sociedade Brasileira de Economia e Sociologia Rural, vol. 58(3), January.
    14. Rouf, Abdur, 2015. "Conventional vs Natural Flood Control and Drainage Managements in a Tidal Coastal Zone: An Evaluation from a Productive Efficiency Perspective," 89th Annual Conference, April 13-15, 2015, Warwick University, Coventry, UK 256023, Agricultural Economics Society.
    15. Georgios D. Papagiannis, 2014. "Measurement of Efficiency in Greek Banking Industries in The Light of the Financial Crisis," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 19-38.
    16. Andrew P. Barnes, 2023. "The role of family life‐cycle events on persistent and transient inefficiencies in less favoured areas," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(1), pages 295-315, February.
    17. Henningsen, Arne & Kumbhakar, Subal C. & Lien, Gudbrand D., 2011. "Econometric Analysis of the Effects of Subsidies on Farm Production in Case of Endogenous Input Quantities," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114548, European Association of Agricultural Economists.
    18. CECHURA, Lukas & ZAKOVA KROUPOVA, Zdenka & MALY, Michal & HOCKMANN, Heinrich, 2015. "Scale Efficiency In European Pork Production," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 18(2), pages 1-6, October.
    19. Madau, Fabio A., 2011. "Parametric Estimation of Technical and Scale Efficiencies in Italian Citrus Farming," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 12(1).
    20. Giannakis, Elias & Bruggeman, Adriana & Zoumides, Christos, 2016. "Determinants of agricultural labour productivity across the European regions," 149th Seminar, October 27-28, 2016, Rennes, France 244899, European Association of Agricultural Economists.
    21. Lisandro Roco & Boris Bravo-Ureta & Alejandra Engler & Roberto Jara-Rojas, 2017. "The Impact of Climatic Change Adaptation on Agricultural Productivity in Central Chile: A Stochastic Production Frontier Approach," Sustainability, MDPI, vol. 9(9), pages 1-16, September.
    22. Abay, Kibrom A. & Wossen, Tesfamicheal & Chamberlin, Jordan, 2022. "Mismeasurement and efficiency estimates: Evidence from smallholder survey data in Africa," IFPRI discussion papers 2105, International Food Policy Research Institute (IFPRI).
    23. Madau, Fabio A., 2012. "Technical and scale efficiency in the Italian Citrus Farming: A comparison between Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis(DEA) Models," MPRA Paper 41403, University Library of Munich, Germany.
    24. Saldias, Rodrigo & von Cramon-Taubadel, Stephan, 2012. "Access to credit and the determinants of technical inefficiency among specialized small farmers in Chile," DARE Discussion Papers 1211, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    25. Mutyasira, Vine & Hoag, Dana & Pendell, Dustin & Manning, Dale T. & Berhe, Melaku, 2018. "Assessing the relative sustainability of smallholder farming systems in Ethiopian highlands," Agricultural Systems, Elsevier, vol. 167(C), pages 83-91.
    26. Md Abdur Rouf, 2020. "Evaluation of Agricultural Projects by Parametric Cost Efficiency and Productivity-gap Approaches: An Empirical Study of Flood Control and Drainage Systems in the Southwest Coastal Area of Bangladesh," Japanese Journal of Agricultural Economics (formerly Japanese Journal of Rural Economics), Agricultural Economics Society of Japan (AESJ), vol. 22.
    27. Benjamin Tetteh Anang & Stefan Bäckman & Antonios Rezitis, 2016. "Does farm size matter? Investigating scale efficiency of peasant rice farmers in northern Ghana," Economics Bulletin, AccessEcon, vol. 36(4), pages 2275-2290.
    28. Mariarosaria Agostino & Ercan Enzo Comert & Federica Demaria & Sabrina Ruberto, 2024. "What kinds of subsidies affect technical efficiency? The case of Italian dairy farms," Agribusiness, John Wiley & Sons, Ltd., vol. 40(1), pages 116-138, January.
    29. Houtian Ge & Patrick Canning & Stephan Goetz & Agnes Perez, 2018. "Effects of scale economies and production seasonality on optimal hub locations: the case of regional fresh produce aggregation," Agricultural Economics, International Association of Agricultural Economists, vol. 49(2), pages 157-169, March.
    30. Robertson R.B. Khataza & Atakelty Hailu & Graeme J. Doole & Marit E. Kragt & Arega D. Alene, 2019. "Examining the relationship between farm size and productive efficiency: a Bayesian directional distance function approach," Agricultural Economics, International Association of Agricultural Economists, vol. 50(2), pages 237-246, March.
    31. Giannis Karagiannis, 2014. "Modeling issues in applied efficiency analysis: agriculture," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 12-18.
    32. Tchale, Hardwick & Sauer, Johannes, 2007. "The efficiency of maize farming in Malawi. A bootstrapped translog frontier," Cahiers d'Economie et de Sociologie Rurales (CESR), Institut National de la Recherche Agronomique (INRA), vol. 82.
    33. Salam, Md. Abdus & Rahman, Sanzidur & Anik, Asif Reza & Sharna, Shaima Chowdhury, 2023. "Exploring competitiveness of surface water versus ground water irrigation and their impacts on rice productivity and efficiency: An empirical analysis from Bangladesh," Agricultural Water Management, Elsevier, vol. 283(C).
    34. Ștefan-Mihai PETREA & Dragos Sebastian Cristea & Maria Magdalena Turek Rahoveanu & Cristina Gabriela Zamfir & Adrian Turek Rahoveanu & Gheorghe Adrian Zugravu & Dumitru Nancu, 2020. "Perspectives of the Moldavian Agricultural Sector by Using a Custom-Developed Analytical Framework," Sustainability, MDPI, vol. 12(11), pages 1-40, June.
    35. Skevas, Theodoros & Lansink, Alfons Oude & Stefanou, Spiro E., 2012. "Measuring technical efficiency in the presence of pesticide spillovers and production uncertainty: The case of Dutch arable farms," European Journal of Operational Research, Elsevier, vol. 223(2), pages 550-559.
    36. Hardwick Tchale & Johannes Sauer, 2007. "The efficiency of maize farming in Malawi. A bootstrapped translog frontier," Cahiers d'Economie et Sociologie Rurales, INRA Department of Economics, vol. 82, pages 33-56.
    37. Gómez-Limón, José A. & Sanchez-Fernandez, Gabriela, 2010. "Empirical evaluation of agricultural sustainability using composite indicators," Ecological Economics, Elsevier, vol. 69(5), pages 1062-1075, March.
    38. Hardwick Tchale & Johannes Sauer, 2007. "The efficiency of maize farming in Malawi. A bootstrapped translog frontier," Post-Print hal-01201145, HAL.
    39. Ferrara, Giancarlo & Vidoli, Francesco, 2017. "Semiparametric stochastic frontier models: A generalized additive model approach," European Journal of Operational Research, Elsevier, vol. 258(2), pages 761-777.
    40. Jerzy Marzec & Andrzej Pisulewski, 2017. "The Effect of CAP Subsidies on the Technical Efficiency of Polish Dairy Farms," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 9(3), pages 243-273, September.
    41. Giannakis, Elias & Bruggeman, Adriana, 2018. "Exploring the labour productivity of agricultural systems across European regions: A multilevel approach," Land Use Policy, Elsevier, vol. 77(C), pages 94-106.

  42. Giannis Karagiannis, 2005. "Explaining output growth with a heteroscedastic non-neutral production frontier: the case of sheep farms in Greece," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 32(1), pages 51-74, March.
    See citations under working paper version above.
  43. Giannis Karagiannis & Peter Midmore & Vangelis Tzouvelekas, 2004. "Parametric Decomposition of Output Growth Using A Stochastic Input Distance Function," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 1044-1057.

    Cited by:

    1. Kellermann, Magnus A., 2015. "Total Factor Productivity Decomposition and Unobserved Heterogeneity in Stochastic Frontier Models," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 44(1), pages 1-25, April.
    2. Feng, Guohua & Serletis, Apostolos, 2010. "Efficiency, technical change, and returns to scale in large US banks: Panel data evidence from an output distance function satisfying theoretical regularity," Journal of Banking & Finance, Elsevier, vol. 34(1), pages 127-138, January.
    3. Brümmer, Bernhard & Glauben, Thomas & Lu, Wencong C., 2002. "Policy Reform and Productivity Change in Chinese Agriculture: A Distance Function Approach," 2002 International Congress, August 28-31, 2002, Zaragoza, Spain 24779, European Association of Agricultural Economists.
    4. Rangkakulnuwat, Poomthan & Wang, H. Holly, 2011. "Productivity growth decomposition with FE-IV approach: Rethinking Thai commercial banks after the financial crisis," Economic Modelling, Elsevier, vol. 28(6), pages 2579-2588.
    5. Zhu, Xueqin & Oude Lansink, Alfons G.J.M., 2009. "Determinants of productivity change of crop and dairy farms in Germany, the Netherlands and Sweden in 1995-2004," 2009 Conference, August 16-22, 2009, Beijing, China 51648, International Association of Agricultural Economists.
    6. Wing Chow, Clement Kong & Fung, Michael Ka Yiu, 2009. "Efficiencies and scope economies of Chinese airports in moving passengers and cargo," Journal of Air Transport Management, Elsevier, vol. 15(6), pages 324-329.
    7. Lukáš Čechura & Zdeňka Žáková Kroupová, 2021. "Technical Efficiency in the European Dairy Industry: Can We Observe Systematic Failures in the Efficiency of Input Use?," Sustainability, MDPI, vol. 13(4), pages 1-19, February.
    8. Iordanis Parikoglou & Grigorios Emvalomatis & Doris Läpple & Fiona Thorne & Michael Wallace, 2024. "The contribution of innovation to farm-level productivity," Journal of Productivity Analysis, Springer, vol. 62(2), pages 239-255, October.
    9. Jill Johnes, 2014. "Efficiency and Mergers in English Higher Education 1996/97 to 2008/9: Parametric and Non-parametric Estimation of the Multi-input Multi-output Distance Function," Manchester School, University of Manchester, vol. 82(4), pages 465-487, July.
    10. Arandarage Mayura Prasad Arandara & Shingo Takahashi, 2023. "Productivity analysis of Sri Lankan cooperative banks: input distance function approach," Asia-Pacific Journal of Regional Science, Springer, vol. 7(1), pages 93-117, March.
    11. Habtamu ALEM, 2017. "Source Of Total Factor Productivity Change: An Empirical Analysis Of Grain Producing Regions In Norway," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 69(6), pages 8-18, December.
    12. Ma, Hengyun & Rae, Allan N. & Huang, Jikun & Rozelle, Scott, 2006. "Enhancing Productivity on Dairy Farms in China: Taking the Cows to Town," 2006 Conference (50th), February 8-10, 2006, Sydney, Australia 174719, Australian Agricultural and Resource Economics Society.
    13. Atsbeha, Daniel Muluwork & Kristofersson, Dadi & Rickertsen, Kyrre, 2012. "Animal Breeding and Productivity Growth of Dairy Farms," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126205, International Association of Agricultural Economists.
    14. Lukáš Čechura & Zdeňka Žáková Kroupová & Irena Benešová, 2021. "Productivity and Efficiency in European Milk Production: Can We Observe the Effects of Abolishing Milk Quotas?," Agriculture, MDPI, vol. 11(9), pages 1-21, August.
    15. Ang, Frederic & Jan Kerstens, Pieter, 2016. "To mix or specialise? A coordination productivity indicator for English and Welsh farms," 90th Annual Conference, April 4-6, 2016, Warwick University, Coventry, UK 236337, Agricultural Economics Society.
    16. Subal Kumbhakar & Dan Wang, 2007. "Economic reforms, efficiency and productivity in Chinese banking," Journal of Regulatory Economics, Springer, vol. 32(2), pages 105-129, October.
    17. Habtamu Alem, 2023. "The role of green total factor productivity to farm-level performance: evidence from Norwegian dairy farms," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 11(1), pages 1-16, December.
    18. Mauro Vigani & Janet Dwyer, 2020. "Profitability and Efficiency of High Nature Value Marginal Farming in England," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(2), pages 439-464, June.
    19. S. C. West & A. W. Mugera & R. S. Kingwell, 2022. "The choice of efficiency benchmarking metric in evaluating firm productivity and viability," Journal of Productivity Analysis, Springer, vol. 57(2), pages 193-211, April.
    20. Vasiliki Fourmouzi & Margarita Genius & Peter Midmore & Vangelis Tzouvelekas, 2009. "Measurement of Consumption efficiency in Price-Quantity Space: A Distance Function Approach," Working Papers 0912, University of Crete, Department of Economics.
    21. Kristin Roll, 2013. "Measuring performance, development and growth when restricting flexibility," Journal of Productivity Analysis, Springer, vol. 39(1), pages 15-25, February.
    22. Marte Bjørnsen & Gudbrand Lien & Timo Sipiläinen, 2011. "The productivity performance of Finnish and Norwegian dairy farms: the effect of joining/not joining the EU," ERSA conference papers ersa11p793, European Regional Science Association.
    23. A. Wondemu Kifle, 2016. "Working Paper 237 - Decomposing Sources of Productivity Change in Small-Scale Farming in Ethiopia," Working Paper Series 2332, African Development Bank.
    24. Hailemariam Teklewold, 2021. "How effective is Ethiopia’s agricultural growth program at improving the total factor productivity of smallholder farmers?," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 13(4), pages 895-912, August.
    25. Xueqin Zhu & Alfons Oude Lansink, 2010. "Impact of CAP Subsidies on Technical Efficiency of Crop Farms in Germany, the Netherlands and Sweden," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(3), pages 545-564, September.
    26. Huang, Tai-Hsin & Chung, Ming-Tai, 2017. "Do undesirables matter on the examination of banking efficiency using stochastic directional distance functions," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 194-211.
    27. Tsionas, Efthymios & Kumbhakar, Subal C. & Malikov, Emir, 2015. "Estimation of Input Distance Functions: A System Approach," MPRA Paper 62329, University Library of Munich, Germany.
    28. Subal Kumbhakar & Kai Sun, 2012. "Estimation of TFP growth: a semiparametric smooth coefficient approach," Empirical Economics, Springer, vol. 43(1), pages 1-24, August.
    29. Subal C. Kumbhakar & Efthymios G. Tsionas, 2008. "Estimation of input‐oriented technical efficiency using a nonhomogeneous stochastic production frontier model," Agricultural Economics, International Association of Agricultural Economists, vol. 38(1), pages 99-108, January.
    30. Kumbhakar, Subal C. & Li, Mingyang & Lien, Gudbrand, 2023. "Do subsidies matter in productivity and profitability changes?," Economic Modelling, Elsevier, vol. 123(C).

  44. Tsekouras, Kostas D. & Pantzios, Christos J. & Karagiannis, Giannis, 2004. "Malmquist productivity index estimation with zero-value variables: The case of Greek prefectural training councils," International Journal of Production Economics, Elsevier, vol. 89(1), pages 95-106, May.

    Cited by:

    1. Martinez-Budria, Eduardo & Diaz-Hernandez, Juan Jose & Jara-Däaz, Sergio, 2011. "Productivity and efficiency with discrete variables and quadratic cost function," International Journal of Production Economics, Elsevier, vol. 132(2), pages 251-257, August.
    2. Chow, Clement Kong Wing & Fung, Michael Ka Yiu, 2012. "Estimating indices of airport productivity in Greater China," Journal of Air Transport Management, Elsevier, vol. 24(C), pages 12-17.
    3. K. Kerstens & I. van de Woestyne, 2014. "Comparing Malmquist and Hicks-Moorsteen productivity indices : exploring the impact of unbalanced vs. balanced panel data," Post-Print hal-00907943, HAL.
    4. Duk Hee Lee & Il Won Seo & Ho Chull Choe & Hee Dae Kim, 2012. "Collaboration network patterns and research performance: the case of Korean public research institutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 925-942, June.
    5. Lei Jiang & Henk Folmer & Minhe Ji & Jianjun Tang, 2017. "Energy efficiency in the Chinese provinces: a fixed effects stochastic frontier spatial Durbin error panel analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 58(2), pages 301-319, March.
    6. Tsekouras, Kostas & Papathanassopoulos, Fotis & Kounetas, Kostas & Pappous, Giorgos, 2010. "Does the adoption of new technology boost productive efficiency in the public sector? The case of ICUs system," International Journal of Production Economics, Elsevier, vol. 128(1), pages 427-433, November.
    7. Gitto, Simone & Mancuso, Paolo, 2012. "Bootstrapping the Malmquist indexes for Italian airports," International Journal of Production Economics, Elsevier, vol. 135(1), pages 403-411.
    8. González, María A & Lopez, Rigoberto A, 2007. "Political Violence and Farm Household Efficiency in Colombia," Economic Development and Cultural Change, University of Chicago Press, vol. 55(2), pages 367-392, January.
    9. Cristiano Antonelli & Christophe Feder, 2020. "Total factor productivity, catch-up and technological congruence in Italy, 1861–2010," Journal of Evolutionary Economics, Springer, vol. 30(4), pages 1171-1194, September.
    10. Muñoz-Villamizar, Andrés & Santos, Javier & Montoya-Torres, Jairo R. & Jaca, Carmen, 2018. "Using OEE to evaluate the effectiveness of urban freight transportation systems: A case study," International Journal of Production Economics, Elsevier, vol. 197(C), pages 232-242.
    11. Singbo, Alphonse G. & Emvalomatis, Grigorios & Alfons, Oude Lansink, 2013. "Assessing the impact of crop specialization on farms’ performance in vegetables farming in Benin: a non-neutral stochastic frontier approach," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149172, Agricultural and Applied Economics Association.
    12. Giannis Karagiannis, 2014. "Modeling issues in applied efficiency analysis: agriculture," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 12-18.
    13. Vassilis Kanellopoulos & Kostas Tsekouras, 2023. "Innovation efficiency and firm performance in a benchmarking context," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(1), pages 137-151, January.
    14. Feder, Christophe, 2018. "The effects of disruptive innovations on productivity," Technological Forecasting and Social Change, Elsevier, vol. 126(C), pages 186-193.

  45. Giannis Karagiannis & Kostas Velentzas, 2004. "Decomposition analysis of consumers' demand changes: an application to Greek consumption data," Applied Economics, Taylor & Francis Journals, vol. 36(5), pages 497-504.

    Cited by:

    1. Biondi, Beatrice & Castiglione, Concetta & Mazzocchi, Mario, 2021. "Demand drivers and changes in food-related emissions in the UK: A decomposition approach," Ecological Economics, Elsevier, vol. 188(C).
    2. Dai, Hancheng & Masui, Toshihiko & Matsuoka, Yuzuru & Fujimori, Shinichiro, 2012. "The impacts of China’s household consumption expenditure patterns on energy demand and carbon emissions towards 2050," Energy Policy, Elsevier, vol. 50(C), pages 736-750.
    3. Frank T. Denton & Dean C. Mountain, 2007. "Exploring the Effects of Aggregation Error in the Estimation of Consumer Demand Elasticities," Social and Economic Dimensions of an Aging Population Research Papers 226, McMaster University.
    4. Dong, Fengxia, 2006. "The outlook for Asian dairy markets: The role of demographics, income, and prices," Food Policy, Elsevier, vol. 31(3), pages 260-271, June.
    5. Erkan Erdil, 2006. "Demand systems for agricultural products in OECD countries," Applied Economics Letters, Taylor & Francis Journals, vol. 13(3), pages 163-169.
    6. Paul Preckel & J. A. L. Cranfield & Thomas Hertel, 2010. "A modified, implicit, directly additive demand system," Applied Economics, Taylor & Francis Journals, vol. 42(2), pages 143-155.
    7. Shashika D. Rathnayaka & Saroja Selvanathan & E. A. Selvanathan, 2021. "Demand for animal‐derived food in selected Asian countries: A system‐wide analysis," Agricultural Economics, International Association of Agricultural Economists, vol. 52(1), pages 97-122, January.
    8. Chen, Quanrun & Dietzenbacher, Erik & Los, Bart & Yang, Cuihong, 2016. "Modeling the short-run effect of fiscal stimuli on GDP: A new semi-closed input–output model," Economic Modelling, Elsevier, vol. 58(C), pages 52-63.
    9. Camilo Sarmiento & Richard Just, 2005. "Empirical modelling of the aggregation error in the representative consumer model," Applied Economics, Taylor & Francis Journals, vol. 37(10), pages 1163-1175.
    10. Michael Fesseha Yohannes & Toshinobu Matsuda, 2016. "Weather Effects on Household Demand for Coffee and Tea in Japan," Agribusiness, John Wiley & Sons, Ltd., vol. 32(1), pages 33-44, January.
    11. Toshinobu Matsuda, 2007. "Linearizing the inverse quadratic almost ideal demand system," Applied Economics, Taylor & Francis Journals, vol. 39(3), pages 381-396.
    12. Denton, Frank T. & Mountain, Dean C., 2011. "Exploring the effects of aggregation error in the estimation of consumer demand elasticities," Economic Modelling, Elsevier, vol. 28(4), pages 1747-1755, July.

  46. G. Karagiannis & S. C. Kumbhakar & E. G. Tsionas, 2004. "A Distance Function Approach for Estimating Technical and Allocative Inefficiency," Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 39(1), pages 19-30, January.

    Cited by:

    1. Tim Coelli & Gholamreza Hajargasht & C.A. Knox Lovell, 2008. "Econometric Estimation of an Input Distance Function in a System of Equations," CEPA Working Papers Series WP012008, School of Economics, University of Queensland, Australia.
    2. Li, Hongchang & Yu, Kemei & Wang, Kun & Zhang, Anming, 2019. "Market power and its determinants in the Chinese railway industry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 120(C), pages 261-276.

  47. Kumbhakar, Subal C. & Karagiannis, Giannis, 2004. "On the equivalence of two normalizations in estimating shadow cost functions," Economics Letters, Elsevier, vol. 82(1), pages 15-19, January.

    Cited by:

    1. Jos Blank, 2009. "Non-maximizing output behavior for firms with a cost-constrained technology," Journal of Productivity Analysis, Springer, vol. 31(1), pages 27-32, February.
    2. Gustavo Anríquez & Silvio Daidone, 2010. "Linkages between the farm and nonfarm sectors at the household level in rural Ghana: a consistent stochastic distance function approach," Agricultural Economics, International Association of Agricultural Economists, vol. 41(1), pages 51-66, January.
    3. Tim Coelli & Gholamreza Hajargasht & C.A. Knox Lovell, 2008. "Econometric Estimation of an Input Distance Function in a System of Equations," CEPA Working Papers Series WP012008, School of Economics, University of Queensland, Australia.

  48. Giannis Karagiannis & Alexander Sarris, 2004. "A Comparison of Sfa and Dea Scale Efficiency Estimates: The Case of Greek Fresh Fruits Producers," Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 39(1), pages 149-168, January.

    Cited by:

    1. DJOKOTO, Justice Gameli & OWUSU, Victor & AWUNYO-VITOR, Dadson, 2020. "Is Organic Agriculture More Scale Efficient Than Conventional Agriculture? The Case Of Cocoa Cultivation In Ghana," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 23(2), October.
    2. Guha, Pradyut & Mandal, Raju, 2021. "Technical Inefficiency of Maize Farming and Its Determinants in Different Agro-Climatic Regions of Sikkim, India," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 0(Number 2), June.

  49. G. Karagiannis & V. Tzouvelekas & A. Xepapadeas, 2003. "Measuring Irrigation Water Efficiency with a Stochastic Production Frontier," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 26(1), pages 57-72, September.

    Cited by:

    1. Dhehibi, Boubaker, 2010. "Productive Efficiency in Water Usage: An Analysis of Differences among Citrus Producing Farms Sizes in Tunisia," 2010 AAAE Third Conference/AEASA 48th Conference, September 19-23, 2010, Cape Town, South Africa 97328, African Association of Agricultural Economists (AAAE).
    2. Celine Nauges & Chris O'Donnell & John Quiggin, 2010. "Uncertainty and technical efficiency in Finnish agriculture: a state-contingent approach," Risk & Uncertainty Working Papers WPR10_2, Risk and Sustainable Management Group, University of Queensland.
    3. Gadanakis, Yiorgos & Bennett, Richard & Park, Julian & Areal, Francisco Jose, 2015. "Improving productivity and water use efficiency: A case study of farms in England," Agricultural Water Management, Elsevier, vol. 160(C), pages 22-32.
    4. Imran, Muhammad Ali & Ali, Asghar & Ashfaq, Muhammad & Hassan, Sarfraz & Culas, Richard & Ma, Chunbo, 2019. "Impact of climate smart agriculture (CSA) through sustainable irrigation management on Resource use efficiency: A sustainable production alternative for cotton," Land Use Policy, Elsevier, vol. 88(C).
    5. Filippini, Massimo & Hunt, Lester C., 2015. "Measurement of energy efficiency based on economic foundations," Energy Economics, Elsevier, vol. 52(S1), pages 5-16.
    6. Tang, Jianjun & Folmer, Henk & Xue, Jianhong, 2015. "Technical and allocative efficiency of irrigation water use in the Guanzhong Plain, China," Food Policy, Elsevier, vol. 50(C), pages 43-52.
    7. Hailiang Ma & Chenling Shi & Nan-Ting Chou, 2016. "China’s Water Utilization Efficiency: An Analysis with Environmental Considerations," Sustainability, MDPI, vol. 8(6), pages 1-15, May.
    8. Scheierling, Susanne M. & Treguer, David O. & Booker, James F. & Decker, Elisabeth, 2014. "How to assess agricultural water productivity ? looking for water in the agricultural productivity and efficiency literature," Policy Research Working Paper Series 6982, The World Bank.
    9. Xiling Zhang & Yusheng Kong & Xuhui Ding, 2020. "How High-Quality Urbanization Affects Utilization Efficiency of Agricultural Water Resources in the Yellow River Basin under Double Control Action?," Sustainability, MDPI, vol. 12(7), pages 1-16, April.
    10. Lei Jiang & Henk Folmer & Minhe Ji & Jianjun Tang, 2017. "Energy efficiency in the Chinese provinces: a fixed effects stochastic frontier spatial Durbin error panel analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 58(2), pages 301-319, March.
    11. Zhihai Yang & Amin W. Mugera & Ning Yin & Yumeng Wang, 2018. "Soil conservation practices and production efficiency of smallholder farms in Central China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(4), pages 1517-1533, August.
    12. Laureti, Tiziana & Benedetti, Ilaria & Branca, Giacomo, 2021. "Water use efficiency and public goods conservation: A spatial stochastic frontier model applied to irrigation in Southern Italy," Socio-Economic Planning Sciences, Elsevier, vol. 73(C).
    13. Njuki, Eric & Bravo-Ureta, Boris E., 2016. "Climatic Variability and Irrigation Water Efficiency in the United States: An Empirical Assessment of the 1987-2012 Period," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235555, Agricultural and Applied Economics Association.
    14. Susanne Scheierling & David O. Treguer & James F. Booker, 2016. "Water Productivity in Agriculture: Looking for Water in the Agricultural Productivity and Efficiency Literature," Water Economics and Policy (WEP), World Scientific Publishing Co. Pte. Ltd., vol. 2(03), pages 1-33, September.
    15. Zhihai Yang & Amin W. Mugera & Fan Zhang, 2016. "Investigating Yield Variability and Inefficiency in Rice Production: A Case Study in Central China," Sustainability, MDPI, vol. 8(8), pages 1-11, August.
    16. Yigezu, Yigezu A. & Ahmed, Mohamed A. & Shideed, Kamil & Aw-Hassan, Aden & El-Shater, Tamer & Al-Atwan, Samman, 2013. "Implications of a shift in irrigation technology on resource use efficiency: A Syrian case," Agricultural Systems, Elsevier, vol. 118(C), pages 14-22.
    17. Kuhn, Lena & Balezentis, Tomas & Hou, Lingling & Wang, Dan, 2020. "Technical and environmental efficiency of livestock farms in China: A slacks-based DEA approach," China Economic Review, Elsevier, vol. 62(C).
    18. Abdulazeez Hudu Wudil & Asghar Ali & Khalid Mushtaq & Sajjad Ahmad Baig & Magdalena Radulescu & Piotr Prus & Muhammad Usman & László Vasa, 2023. "Water Use Efficiency and Productivity of Irrigated Rice Cultivation in Nigeria: An Application of the Stochastic Frontier Approach," Sustainability, MDPI, vol. 15(10), pages 1-19, May.
    19. Chebil, Ali & Frija, Aymen & Abdelkafi, Belhassen, 2010. "Irrigation water use efficiency in collective irrigated schemes of Tunisia: determinants and potential irrigation cost reduction," 2010 AAAE Third Conference/AEASA 48th Conference, September 19-23, 2010, Cape Town, South Africa 96158, African Association of Agricultural Economists (AAAE).
    20. Yan, Siqi & Peng, Jianchao & Wu, Qun, 2020. "Exploring the non-linear effects of city size on urban industrial land use efficiency: A spatial econometric analysis of cities in eastern China," Land Use Policy, Elsevier, vol. 99(C).
    21. Njuki, Eric & Bravo-Ureta, Boris E., 2016. "Measuring agricultural water productivity using a partial factor productivity approach," 2016 Fifth International Conference, September 23-26, 2016, Addis Ababa, Ethiopia 246948, African Association of Agricultural Economists (AAAE).
    22. Pingping Wang & Wendong Zhang & Minghao Li & Yijun Han, 2019. "Does Fertilizer Education Program Increase the Technical Efficiency of Chemical Fertilizer Use? Evidence from Wheat Production in China," Sustainability, MDPI, vol. 11(2), pages 1-14, January.
    23. Chebil, Ali & Soula, Rania & Souissi, Asma & Bennouna, Bechir, 2022. "Efficiency, valuation, and pricing of irrigation water in northeastern Tunisia," Agricultural Water Management, Elsevier, vol. 266(C).
    24. Sheng, Jichuan & Qiu, Wenge, 2023. "Inter-basin water transfer policies and water-use technical efficiency: China's South-North Water Transfer Project," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    25. Boris E. Bravo‐Ureta & Mario González‐Flores & William Greene & Daniel Solís, 2021. "Technology and Technical Efficiency Change: Evidence from a Difference in Differences Selectivity Corrected Stochastic Production Frontier Model," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(1), pages 362-385, January.
    26. Yigezu Yigezu & Tamer El-Shater & Aden Aw-Hassan, 2017. "Are Development Projects Pursuing Short-Term Benefits at the Expense of Sustainability?," Sustainability, MDPI, vol. 9(10), pages 1-12, October.
    27. Gill, Joshua & Mekonnen, Dawit K. & Spielman, David J., 2018. "Better Technology or Better Farmers: Exploring Frontiers," 2018 Annual Meeting, August 5-7, Washington, D.C. 274332, Agricultural and Applied Economics Association.
    28. Dhehibi, Boubaker & Lachaal, Lassaad & Elloumi, Mohamed & Messaoud, Emna B., 2008. "Measuring Irrigation Water Efficiency with a Stochastic Production Frontier: An Application for Citrus Producing Farms in Tunisia," 2007 Second International Conference, August 20-22, 2007, Accra, Ghana 52166, African Association of Agricultural Economists (AAAE).
    29. Mariarosaria Agostino & Ercan Enzo Comert & Federica Demaria & Sabrina Ruberto, 2024. "What kinds of subsidies affect technical efficiency? The case of Italian dairy farms," Agribusiness, John Wiley & Sons, Ltd., vol. 40(1), pages 116-138, January.
    30. Ali, M.K., 2018. "Estimation of irrigation water use efficiency with a stochastic frontier model," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277354, International Association of Agricultural Economists.
    31. Qiang Fu & Ye Liu & Tianxiao Li & Dong Liu & Song Cui, 2017. "Analysis of Irrigation Water Use Efficiency Based on the Chaos Features of a Rainfall Time Series," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(6), pages 1961-1973, April.
    32. Zhu, Xueqin & Milán Demeter, Róbert, 2012. "Technical efficiency and productivity differentials of dairy farms in three EU countries: the role of CAP subsidies," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 13(1), pages 1-27.
    33. Nauges, Celine & O'Donnell, Christopher J. & Quiggin, John C., 2009. "Uncertainty and technical efficiency in Finnish Agriculture," 2009 Conference (53rd), February 11-13, 2009, Cairns, Australia 48062, Australian Agricultural and Resource Economics Society.
    34. Eric Njuki & Boris E. Bravo-Ureta, 2019. "Examining irrigation productivity in U.S. agriculture using a single-factor approach," Journal of Productivity Analysis, Springer, vol. 51(2), pages 125-136, June.
    35. Ferreira, Marcelo Dias Paes & Féres, José Gustavo, 2020. "Farm size and Land use efficiency in the Brazilian Amazon," Land Use Policy, Elsevier, vol. 99(C).
    36. Giannis Karagiannis, 2014. "Modeling issues in applied efficiency analysis: agriculture," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 12-18.
    37. Watto, Muhammad, 2013. "Measuring Groundwater Irrigation Efficiency in Pakistan: A DEA Approach Using the Sub-vector and Slack-based Models," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152204, Australian Agricultural and Resource Economics Society.
    38. Nguyen Bich Hong & Mitsuyasu Yabe, 2017. "Improvement in irrigation water use efficiency: a strategy for climate change adaptation and sustainable development of Vietnamese tea production," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 19(4), pages 1247-1263, August.
    39. Chebil, Ali & Frija, Iheb & Bahri, Walid, 2014. "Irrigation water efficiency in wheat production in Chbika (Tunisia):Parametric versus Nonparametric Comparisons," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 15(1), pages 1-14.
    40. Muhammad Arif Watto & Amin W. Mugera, 2014. "Measuring Production and Irrigation Efficiencies of Rice Farms: Evidence from the Punjab Province, Pakistan," Asian Economic Journal, East Asian Economic Association, vol. 28(3), pages 301-322, September.
    41. Ferreira, M. & Feres, J.G., 2018. "Farm Size and Productive Efficiency in Brazilian Amazon," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277289, International Association of Agricultural Economists.
    42. Frija, Aymen & Chebil, Ali & Abdelkafi, Belhassen, 2012. "Irrigation water use efficiency in collective irrigated schemes of Tunisia: determinants and potential irrigation cost reduction," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 13(1), pages 1-10.
    43. Sheng, Jichuan & Qiu, Wenge, 2022. "Water-use technical efficiency and income: Evidence from China's South-North Water Transfer Project," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    44. Scheierling, S. M., 2014. "How to assess agricultural water productivity?: looking for water in the agricultural productivity and efficiency literature," IWMI Working Papers H046876, International Water Management Institute.
    45. Ke-Liang Wang & Jianguo Wang & Jianming Wang & Lili Ding & Mingsong Zhao & Qunwei Wang, 2020. "Investigating the spatiotemporal differences and influencing factors of green water use efficiency of Yangtze River Economic Belt in China," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-24, April.
    46. Gabriel A. Sampaio Morais & Felipe F. Silva & Carlos Otávio de Freitas & Marcelo José Braga, 2021. "Irrigation, Technical Efficiency, and Farm Size: The Case of Brazil," Sustainability, MDPI, vol. 13(3), pages 1-21, January.
    47. Bravo-Ureta, Boris E. & Jara-Rojas, Roberto & Lachaud, Michee A. & Moreira L., Victor H. & Scheierling, Susanne M., 2015. "Water and Farm Efficiency: Insights from the Frontier Literature," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 206076, Agricultural and Applied Economics Association.
    48. Watto, Muhammad Arif & Mugera, Amin William, 2013. "Measuring Groundwater Irrigation Efficiency in Pakistan: A DEA Approach Using the Sub-vector and Slack-based Models," Working Papers 144943, University of Western Australia, School of Agricultural and Resource Economics.

  50. Karagiannis, G. & Mergos, G. J., 2002. "Estimating theoretically consistent demand systems using cointegration techniques with application to Greek food data," Economics Letters, Elsevier, vol. 74(2), pages 137-143, January.

    Cited by:

    1. Sulgham, Anil K. & Zapata, Hector O., 2006. "A Dynamic Approach to Estimate Theoretically Consistent US Meat Demand System," 2006 Annual Meeting, February 5-8, 2006, Orlando, Florida 35441, Southern Agricultural Economics Association.
    2. Reed, Albert J. & Levedahl, J. William & Hallahan, Charles B., 2004. "The Generalized Composite Commodity Theorem And Food Demand Estimation," 2004 Annual meeting, August 1-4, Denver, CO 20107, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Arnade, Carlos Anthony & Kuchler, Fred & Calvin, Linda, 2011. "Food Safety and Spinach Demand: A Generalized Error Correction Model," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 40(2), pages 1-15, August.
    4. Rangkakulnuwat, Poomthan & Wang, H. Holly & Ahn, Sung K., 2007. "The inverse imported factor demand system in Thailand: A cointegration analysis," Economics Letters, Elsevier, vol. 94(3), pages 402-407, March.
    5. Holt, Matthew T. & Goodwin, Barry K., 2009. "The Almost Ideal and Translog Demand Systems," MPRA Paper 15092, University Library of Munich, Germany.
    6. Asche, Frank & Guttormsen, Atle G. & Kristofersson, Dadi & Roheim, Cathy A., 2005. "Import Demand Estimation and the Generalized Composite Commodity Theorem," 2005 Annual meeting, July 24-27, Providence, RI 19432, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    7. Li, Gang & Song, Haiyan & Witt, Stephen F., 2006. "Time varying parameter and fixed parameter linear AIDS: An application to tourism demand forecasting," International Journal of Forecasting, Elsevier, vol. 22(1), pages 57-71.
    8. Motallebi, Marzieh & Pendell, Dustin L., 2013. "Estimating an Almost Ideal Demand System Model for Meats in Iran," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150188, Agricultural and Applied Economics Association.
    9. W D A Bryant, 2009. "General Equilibrium:Theory and Evidence," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 6875, August.
    10. Liu, Qinghua & Shumway, C. Richard, 2004. "Testing aggregation consistency across geography and commodities," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(3), pages 1-24.
    11. Schulz, Lee L. & Schroeder, Ted C. & Xia, Tian, 2012. "Studying Composite Demand Using Scanner Data: The Case of Ground Beef in the US," Staff General Research Papers Archive 35441, Iowa State University, Department of Economics.
    12. Khiabani, Nasser & Hasani, Karim, 2010. "Technical and allocative inefficiencies and factor elasticities of substitution: An analysis of energy waste in Iran's manufacturing," Energy Economics, Elsevier, vol. 32(5), pages 1182-1190, September.
    13. Li, Wenying & Zhen, Chen, 2017. "A Reassessment of Product Aggregation Bias in Demand Analysis: An Application to the U.S. Meat Market," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258197, Agricultural and Applied Economics Association.
    14. Milioti, Christina P. & Karlaftis, Matthew G., 2014. "Estimating multimodal public transport mode shares in Athens, Greece," Journal of Transport Geography, Elsevier, vol. 34(C), pages 88-95.
    15. Nzaku, Kilungu & Houston, Jack E., 2009. "Dynamic Estimation of U.S. Demand for Fresh Vegetable Imports," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 52209, Agricultural and Applied Economics Association.
    16. Paul Oslington, 2012. "General Equilibrium: Theory and Evidence," The Economic Record, The Economic Society of Australia, vol. 88(282), pages 446-448, September.

  51. G. Karagiannis & P. Midmore & V. Tzouvelekas, 2002. "Separating Technical Change from Time-Varying Technical Inefficiency in the Absence of Distributional Assumptions," Journal of Productivity Analysis, Springer, vol. 18(1), pages 23-38, July.

    Cited by:

    1. Rene Fahr & Uwe Sunde, 2006. "Regional dependencies in job creation: an efficiency analysis for Western Germany," Applied Economics, Taylor & Francis Journals, vol. 38(10), pages 1193-1206.
    2. Ma, Wanglin & Renwick, Alan & Bicknell, Kathryn, 2018. "Feed Use Intensification and Technical Efficiency of Dairy Farms in New Zealand," 2018 Annual Meeting, August 5-7, Washington, D.C. 274394, Agricultural and Applied Economics Association.
    3. Yan, Jia & Sun, Xinyu & Liu, John J., 2009. "Assessing container operator efficiency with heterogeneous and time-varying production frontiers," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 172-185, January.
    4. Almas Heshmati & Subal C. Kumbhakar, 2010. "Technical Change and Total Factor Productivity Growth: The Case of Chinese Provinces," TEMEP Discussion Papers 201054, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Feb 2010.
    5. Bravo-Ureta, Boris & Solís, Daniel & Moreira, Victor & Maripani, José & Thiam, Abdourahmane & Rivas, Teodoro, 2005. "Technical Efficiency in Farming: A Meta-regression analysis," Efficiency Series Papers 2005/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    6. Ang, Frederic & Jan Kerstens, Pieter, 2016. "To mix or specialise? A coordination productivity indicator for English and Welsh farms," 90th Annual Conference, April 4-6, 2016, Warwick University, Coventry, UK 236337, Agricultural Economics Society.
    7. Mauro Vigani & Janet Dwyer, 2020. "Profitability and Efficiency of High Nature Value Marginal Farming in England," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(2), pages 439-464, June.
    8. Kristin Roll, 2013. "Measuring performance, development and growth when restricting flexibility," Journal of Productivity Analysis, Springer, vol. 39(1), pages 15-25, February.
    9. Xepapadeas, Anastasios & Tzouvelekas, Vangelis & Vouvaki, Dimitra, 2007. "Total Factor Productivity Growth and the Environment: A Case for Green Growth Accounting," Climate Change Modelling and Policy Working Papers 9319, Fondazione Eni Enrico Mattei (FEEM).
    10. Giannis Karagiannis & Peter Midmore & Vangelis Tzouvelekas, 2002. "Parametric Decomposition of Output Growth," Working Papers 0204, University of Crete, Department of Economics.

  52. Giannis Karagiannis & Christos J. Pantzios, 2002. "To Comply or not to Comply with Policy Regulations ‐ the Case of Greek Cotton Growers: a Note," Journal of Agricultural Economics, Wiley Blackwell, vol. 53(2), pages 345-351, July.

    Cited by:

    1. Pantzios, Christos J. & Rozakis, Stelios & Tzouvelekas, Vangelis, 2006. "Evading Farm Support Reduction via Efficient Input Use: The Case of Greek Cotton Growers," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 38(3), pages 555-574, December.
    2. Emvalomatis, Grigorios & Oude Lansink, Alfons G.J.M. & Stefanou, Spiro E., 2008. "An Examination of the Relationship Between Subsidies on Production and Technical Efficiency in Agriculture: The Case of Cotton Producers in Greece," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6673, European Association of Agricultural Economists.
    3. Pantzios, Christos J. & Rozakis, Stelios & Tzouvelekas, Vangelis, 2002. "Assessing the Perspectives of EU Cotton Farming: Technical and Scale Efficiencies of Greek Cotton Growers," 2002 International Congress, August 28-31, 2002, Zaragoza, Spain 24844, European Association of Agricultural Economists.

  53. Karagiannis, Giannis & Furtan, William Hartley, 2002. "The Effects of Supply Shifts on Producers' Surplus: the Case of Inelastic Linear Supply Curves," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 3(1), pages 1-7, January.

    Cited by:

    1. Marion Desquilbet & Bruno Dorin & Denis Couvet, 2016. "Land Sharing vs Land Sparing to Conserve Biodiversity: How Agricultural Markets Make the Difference [land-sharing/land-sparing, comment les marchés font la différence]," Post-Print hal-03948463, HAL.
    2. Karls, Michael A. & Horowitz, John B. & Sesmero, Juan & Van Cott, T. norman, 2013. "Innovation, Parallel Shifts of Supply, and Welfare," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 14(1), pages 1-8.
    3. Desquilbet, Marion & Dorin, Bruno & Couvet, Denis, 2014. "Land sharing vs. land sparing for biodiversity: How agricultural markets make the difference," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182809, European Association of Agricultural Economists.
    4. Twine, Edgar & Katjiuongua, Hikuepi, 2015. "Farm-Level and Consumption Responses to Improved Efficiency of Tanzania’s Informal Dairy Value Chain," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 200329, Agricultural and Applied Economics Association.
    5. John B. Horowitz & Michael A. Karls & Juan Sesmero & T. Norman Van Cott, 2023. "Beyond Simple Profit Maximization in Uncertain Markets: How Innovation and Entry Change Supply Curves and Producer Surplus," Journal of Private Enterprise, The Association of Private Enterprise Education, vol. 38(Summer 20), pages 55-77.
    6. Twine, Edgar Edwin, 2016. "Production and Consumption Responses to Policy Interventions in Tanzania's Dairy Industry," International Journal of Agricultural Sciences and Technology (IJAGST), SvedbergOpen, vol. 55(1-2), May.

  54. Panos Fousekis & Giannis Karagiannis, 2001. "Wholesale level demand for fish grades in Greece," Applied Economics Letters, Taylor & Francis Journals, vol. 8(7), pages 479-482.

    Cited by:

    1. Panos Fousekis & Brian J. Revell, 2002. "Primary Demand for Red Meats in the United Kingdom," Cahiers d'Economie et Sociologie Rurales, INRA Department of Economics, vol. 63, pages 31-50.
    2. Eric Sjöberg, 2014. "Pricing the Fish Market- Does size matter?," Working Paper Series, Department of Economics, University of Utah 2014_01, University of Utah, Department of Economics.

  55. Karagiannis, Giannis & Tzouvelekas, Vangelis, 2001. "Self-Dual Stochastic Production Frontiers And Decomposition Of Output Growth: The Case Of Olive-Growing Farms In Greece," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 30(2), pages 1-11, October.
    See citations under working paper version above.
  56. Giannis Karagiannis & George Mergos, 2000. "Total Factor Productivity Growth and Technical Change in a Profit Function Framework," Journal of Productivity Analysis, Springer, vol. 14(1), pages 31-51, July.

    Cited by:

    1. Glass, Anthony J. & Kenjegalieva, Karligash & Sickles, Robin C. & Weyman-Jones, Thomas, 2016. "The Spatial Efficiency Multiplier and Random Effects in Spatial Stochastic Frontier Models," Working Papers 16-002, Rice University, Department of Economics.
    2. Daniel Schunk & Bruce Hannon, 2004. "Impacts of a carbon tax policy on Illinois grain farms: a dynamic simulation study," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 6(3), pages 221-247, September.
    3. Azzeddine Azzam & Rigoberto Lopez & Elena Lopez, 2004. "Imperfect Competition and Total Factor Productivity Growth," Journal of Productivity Analysis, Springer, vol. 22(3), pages 173-184, November.
    4. Wong, Gary & Fleisher, Belton M. & Zhao, Min Qiang & McGuire, William H., 2020. "Technical Progress and Induced Innovation in China: A Variable Profit Function Approach," IZA Discussion Papers 13017, Institute of Labor Economics (IZA).
    5. Kevin J. Fox & R. Quentin Grafton & James Kirkley & Dale Squires, 2002. "Property Rights in a Fishery: Regulatory Change and Firm Performance," Economics and Environment Network Working Papers 0205, Australian National University, Economics and Environment Network.
    6. Ka Kei Gary Wong & Min Qiang Zhao, 2023. "Induced innovation and its impact on productivity growth in China: a latent variable approach," Empirical Economics, Springer, vol. 65(1), pages 371-399, July.
    7. Glass, Anthony J. & Kenjegalieva, Karligash & Sickles, Robin C. & Weyman-Jones, Thomas, 2018. "The Spatial Efficiency Multiplier and Common Correlated Effects in a Spatial Autoregressive Stochastic Frontier Model," Working Papers 18-003, Rice University, Department of Economics.
    8. Rolf Färe & Giannis Karagiannis, 2014. "Radial and directional measures of the rate of technical change," Journal of Economics, Springer, vol. 112(2), pages 183-199, June.
    9. He, Yan-Qun & Chan, Lai-Kow & Wu, Ming-Lu, 2007. "Balancing productivity and consumer satisfaction for profitability: Statistical and fuzzy regression analysis," European Journal of Operational Research, Elsevier, vol. 176(1), pages 252-263, January.

  57. Karagiannis, G. & Katranidis, S. & Velentzas, K., 2000. "An error correction almost ideal demand system for meat in Greece," Agricultural Economics, Blackwell, vol. 22(1), pages 29-35, January.

    Cited by:

    1. Vittorio Nicolardi, 2009. "The effects of the new 1995 ESA methodologies of estimation on the structural analysis of Italian consumption," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 18(1), pages 125-149, March.
    2. Sulgham, Anil K. & Zapata, Hector O., 2006. "A Dynamic Approach to Estimate Theoretically Consistent US Meat Demand System," 2006 Annual Meeting, February 5-8, 2006, Orlando, Florida 35441, Southern Agricultural Economics Association.
    3. Minoas Koukouritakis, 2005. "EU Accession Effects on the Demand for Manufactures: the Case of Greece," Working Papers 0506, University of Crete, Department of Economics.
    4. Sean Pascoe & Peggy Schrobback & Eriko Hoshino & Robert Curtotti, 2023. "Impact of changes in imports and farmed salmon on wild-caught fish prices in Australia," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 50(2), pages 335-359.
    5. Curtis, John & Stanley, Brian, 2015. "Analysing Residential Energy Demand: An Error Correction Demand System Approach for Ireland," Papers WP505, Economic and Social Research Institute (ESRI).
    6. Le Quang, Canh, 2008. "An Empirical Study for Food Consumption in Vietnam," MPRA Paper 80966, University Library of Munich, Germany, revised 2008.
    7. Toshinobu Matsuda, 2006. "Linear approximations to the quadratic almost ideal demand system," Empirical Economics, Springer, vol. 31(3), pages 663-675, September.
    8. Sherafatmand, Habibeh & Baghestany, Ali Akbar, 2015. "Comparison of Rotterdam Model versus almost ideal demand system for fish and red meat," International Journal of Agricultural Sciences and Technology (IJAGST), SvedbergOpen, vol. 54(1), June.
    9. Rangkakulnuwat, Poomthan & Wang, H. Holly & Ahn, Sung K., 2007. "The inverse imported factor demand system in Thailand: A cointegration analysis," Economics Letters, Elsevier, vol. 94(3), pages 402-407, March.
    10. Chang, Kuo-Liang & Elliott, Lisa M. & Sand, Shannon & Dailey, Rocky & Blachford, Sierra, 2014. "A Study of the Impacts of Social Media Outlets on Generation-X and Millennial Consumers’ Beef Consumption, with an Emphasis on the Importance of Nutrition Information," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169648, Agricultural and Applied Economics Association.
    11. Li, Gang & Song, Haiyan & Witt, Stephen F., 2006. "Time varying parameter and fixed parameter linear AIDS: An application to tourism demand forecasting," International Journal of Forecasting, Elsevier, vol. 22(1), pages 57-71.
    12. Muhammad, Andrew & Jones, Keithly G., 2009. "An Assessment Of Dynamic Behavior In The U.S. Catfish Market: An Application Of The Generalized Dynamic Rotterdam Model," 2009 Annual Meeting, January 31-February 3, 2009, Atlanta, Georgia 45912, Southern Agricultural Economics Association.
    13. Nzuma, Jonathan M. & Sarker, Rakhal, 2008. "An Error Corrected Almost Ideal Demand System for Major Cereals in Kenya," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6443, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    14. Shashika D. Rathnayaka & Saroja Selvanathan & E. A. Selvanathan, 2021. "Demand for animal‐derived food in selected Asian countries: A system‐wide analysis," Agricultural Economics, International Association of Agricultural Economists, vol. 52(1), pages 97-122, January.
    15. Eliyathamby A Selvanathan & Saroja Selvanathan, 2019. "Analysing The Demand For Financial Assets In Indonesia," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 22(1), pages 69-86, April.
    16. Wang, Xiaojin & Reed, Michael, 2013. "Estimation of Import Demand for Fishery Products in the U.S. Using the Source-Differentiated AIDS Model," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150207, Agricultural and Applied Economics Association.
    17. Paul Dunne & Beverly Edkins, 2005. "The demand for Food in South Africa," Working Papers 0509, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    18. Habibeh Sherafatmand & Ali Akbar Baghestany, 2015. "Comparison of Rotterdam Model versus almost ideal demand system for fish and red meat," Agrekon, Taylor & Francis Journals, vol. 54(1), pages 120-137, March.
    19. Abiodun O. OTUNAIYA & Adebayo M. SHITTU, 2014. "Complete household demand system of vegetables in Ogun State, Nigeria," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 60(11), pages 509-516.
    20. Morrison, J. A. & Balcombe, K. & Bailey, A. & Klonaris, S. & Rapsomanikis, G., 2003. "Expenditure on different categories of meat in Greece: the influence of changing tastes," Agricultural Economics, Blackwell, vol. 28(2), pages 139-150, March.
    21. Peguero, Felipe & Kennedy, P. Lynn & Zapata, Hector O., 2018. "A Generalized Dynamic Inverse AIDS Model for Fresh Fruits and Vegetables: An Application to the U.S. Bell Pepper Industry," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266686, Southern Agricultural Economics Association.
    22. Stefan Wirsenius & Fredrik Hedenus & Kristina Mohlin, 2011. "Greenhouse gas taxes on animal food products: rationale, tax scheme and climate mitigation effects," Climatic Change, Springer, vol. 108(1), pages 159-184, September.
    23. Milioti, Christina P. & Karlaftis, Matthew G., 2014. "Estimating multimodal public transport mode shares in Athens, Greece," Journal of Transport Geography, Elsevier, vol. 34(C), pages 88-95.
    24. Blazej Mazur, 2006. "Imposing Economic Restrictions in a VECM-form Demand System," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 7, pages 269-280.
    25. Luo, Xinjian & Sun, Changyou & Jiang, Hongfei & Zhang, Ying & Meng, Qian, 2015. "International trade after intervention: The case of bedroom furniture," Forest Policy and Economics, Elsevier, vol. 50(C), pages 180-191.
    26. Minoas Koukouritakis, 2003. "EU Accession Effects on Imports of Manufactures: The case of Greece," University of Cyprus Working Papers in Economics 2-2003, University of Cyprus Department of Economics.
    27. Baek, Ji Won, 2016. "The effects of the Internet and mobile services on urban household expenditures: The case of South Korea," Telecommunications Policy, Elsevier, vol. 40(1), pages 22-38.
    28. Toshinobu Matsuda, 2007. "Linearizing the inverse quadratic almost ideal demand system," Applied Economics, Taylor & Francis Journals, vol. 39(3), pages 381-396.
    29. John Eakins & Liam Gallagher, 2003. "Dynamic almost ideal demand systems: an empirical analysis of alcohol expenditure in Ireland," Applied Economics, Taylor & Francis Journals, vol. 35(9), pages 1025-1036.
    30. Kawata, Yukichika, 2012. "Fishery resource recovery strategy without reducing the number of landings: A case study of the ocellate puffer in Japan," Ecological Economics, Elsevier, vol. 77(C), pages 225-233.
    31. Nzaku, Kilungu & Houston, Jack E. & Fonsah, Esendugue Greg, 2012. "A Dynamic Application of the AIDS Model to Import Demand for Tropical Fresh Fruits in the USA," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126721, International Association of Agricultural Economists.
    32. Nzaku, Kilungu & Houston, Jack E., 2009. "Dynamic Estimation of U.S. Demand for Fresh Vegetable Imports," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 52209, Agricultural and Applied Economics Association.
    33. Duffy, Martyn, 2003. "On the estimation of an advertising-augmented, cointegrating demand system," Economic Modelling, Elsevier, vol. 20(1), pages 181-206, January.
    34. Alessandro De Matteis & Fethiye Burcu Turkmen Ceylan & Bereket Kebede, 2021. "Market resilience in times of crisis: The case of Darfur," Review of Development Economics, Wiley Blackwell, vol. 25(3), pages 1107-1127, August.
    35. Awal, M. A. & Sabur, S. Abdus & Mia, M. I. A., 2008. "Estimation Of Vegetable Demand Elasticities In Bangladesh: Application Of Almost Ideal Demand System Model," Bangladesh Journal of Agricultural Economics, Bangladesh Agricultural University, vol. 31(1-2), pages 1-26, December.

  58. Karagiannis, Giannis, 1999. "Proportional Profit Taxes And Resource Management Under Production Uncertainty," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 24(2), pages 1-11, December.
    See citations under working paper version above.
  59. Giannis Karagiannis, 1998. "Interactions between Agricultural and Resource Policy: Comment," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(2), pages 419-421.

    Cited by:

    1. Karagiannis, Giannis, 1999. "Proportional Profit Taxes And Resource Management Under Production Uncertainty," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 24(2), pages 1-11, December.
    2. Isik, Murat & Khanna, Madhu, 2002. "Stochastic Technology, Risk Preferences And Adoption Of Site-Specific Technologies," 2002 Annual meeting, July 28-31, Long Beach, CA 19858, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

  60. Giannis Karagiannis & Kostas Velentzas, 1997. "Explaining Food Consumption Patterns In Greece," Journal of Agricultural Economics, Wiley Blackwell, vol. 48(1‐3), pages 83-92, January.

    Cited by:

    1. Panagiotis Lazaridis, 2003. "Household meat demand in Greece: A demand systems approach using microdata," Agribusiness, John Wiley & Sons, Ltd., vol. 19(1), pages 43-59.
    2. Li, Gang & Song, Haiyan & Witt, Stephen F., 2006. "Time varying parameter and fixed parameter linear AIDS: An application to tourism demand forecasting," International Journal of Forecasting, Elsevier, vol. 22(1), pages 57-71.
    3. Peguero, Felipe & Kennedy, P. Lynn & Zapata, Hector O., 2018. "A Generalized Dynamic Inverse AIDS Model for Fresh Fruits and Vegetables: An Application to the U.S. Bell Pepper Industry," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266686, Southern Agricultural Economics Association.
    4. Shiferaw T. Feleke & Richard L. Kilmer, 2007. "Analysis of the demand for imported meat in Switzerland using a dynamic specification: Implications for the European Union," Agribusiness, John Wiley & Sons, Ltd., vol. 23(4), pages 497-510.
    5. Karagiannis, G. & Mergos, G. J., 2002. "Estimating theoretically consistent demand systems using cointegration techniques with application to Greek food data," Economics Letters, Elsevier, vol. 74(2), pages 137-143, January.
    6. Irene C. Kamenidou & Spyridon A. Mamalis & Stavros Pavlidis & Evangelia-Zoi G. Bara, 2019. "Segmenting the Generation Z Cohort University Students Based on Sustainable Food Consumption Behavior: A Preliminary Study," Sustainability, MDPI, vol. 11(3), pages 1-22, February.
    7. Friedrich Schneider & Klaus Salhofer & Erwin Schmid & Gerhard Streicher, 2001. "Was the Austrian agricultural policy least cost efficient?," Economics working papers 2001-03, Department of Economics, Johannes Kepler University Linz, Austria.
    8. Giannis Karagiannis & Kostas Velentzas, 2004. "Decomposition analysis of consumers' demand changes: an application to Greek consumption data," Applied Economics, Taylor & Francis Journals, vol. 36(5), pages 497-504.
    9. Karagiannis, G. & Katranidis, S. & Velentzas, K., 2000. "An error correction almost ideal demand system for meat in Greece," Agricultural Economics, Blackwell, vol. 22(1), pages 29-35, January.
    10. Ioannis Kostakis & Dimitrios Paparas & Anna Saiti & Stamatina Papadaki, 2020. "Food Consumption within Greek Households: Further Evidence from a National Representative Sample," Economies, MDPI, vol. 8(1), pages 1-18, February.

  61. Karagiannis, Giannis & Katranidis, Stelios & Velentzas, Kostas, 1997. "Redistribution and CAP Efficiency in the Greek Cotton Industry," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 52(4), December.

    Cited by:

    1. Dadakas, Dimitrios & Katranidis, Stelios D., 2006. "MFA Quotas Elimination: the Case of Cotton Yarn in Greece - a Multi-Market vs. a Single Market Analysis," 2006 Annual meeting, July 23-26, Long Beach, CA 21390, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Giannis Karagiannis & Christos J. Pantzios, 2002. "To Comply or not to Comply with Policy Regulations ‐ the Case of Greek Cotton Growers: a Note," Journal of Agricultural Economics, Wiley Blackwell, vol. 53(2), pages 345-351, July.
    3. Dimitrios, Dadakas & Stelios, Katranidis D., 2006. "The Effects of Trade Liberalization in Textiles and Clothing on the Greek Market for Cotton Yarn: A Multi-Market Analysis," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25779, International Association of Agricultural Economists.
    4. David S. Bullock & Klaus Salhofer & Jukka Kola, 1999. "The Normative Analysis of Agricultural Policy: A General Framework and Review," Journal of Agricultural Economics, Wiley Blackwell, vol. 50(3), pages 512-535, September.

  62. George Mergos & Giannis Karagiannis, 1997. "Sources Of Productivity Change Under Temporary Equilibrium And Application To Greek Agriculture," Journal of Agricultural Economics, Wiley Blackwell, vol. 48(1‐3), pages 313-329, January.

    Cited by:

    1. Mamatzakis, E. C., 2003. "Public infrastructure and productivity growth in Greek agriculture," Agricultural Economics, Blackwell, vol. 29(2), pages 169-180, October.
    2. Roberto Esposti & Pierpaolo Pierani, 2008. "Price-induced technical progress in Italian agriculture," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement, INRA Department of Economics, vol. 89(4), pages 5-28.
    3. Emmanuel Constantine Mamatzakis, 2008. "Economic Performance And Public Infrastructure: An Application To Greek Manufacturing," Bulletin of Economic Research, Wiley Blackwell, vol. 60(3), pages 307-326, July.

  63. Karagiannis, Giannis & Katranidis, Stelios D. & Velentzas, Kostas, 1996. "Decomposition Analysis Of Factor Cost Shares: The Case Of Greek Agriculture," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 28(2), pages 1-11, December.

    Cited by:

    1. George Mergos & Giannis Karagiannis, 1997. "Sources Of Productivity Change Under Temporary Equilibrium And Application To Greek Agriculture," Journal of Agricultural Economics, Wiley Blackwell, vol. 48(1‐3), pages 313-329, January.
    2. Friedrich Schneider & Klaus Salhofer & Erwin Schmid & Gerhard Streicher, 2001. "Was the Austrian agricultural policy least cost efficient?," Economics working papers 2001-03, Department of Economics, Johannes Kepler University Linz, Austria.
    3. Yumei Liu & Wuyang Hu & Simon Jetté-Nantel & Zhihong Tian, 2014. "The Influence of Labor Price Change on Agricultural Machinery Usage in Chinese Agriculture," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 62(2), pages 219-243, June.

  64. Hatziprokopiou, Michalis & Karagiannis, Giannis & Velentzas, Kostas, 1996. "Production Structure, Technical Change, and Productivity Growth in Albanian Agriculture," Journal of Comparative Economics, Elsevier, vol. 22(3), pages 295-310, June.

    Cited by:

    1. Tzouvelekas, Evaggelos, 2000. "Approximation Properties and Estimation of the Translog Production Function with Panel Data," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 1(1), pages 1-16, January.
    2. Mergos, George & Karadeloglou, Pavlos & Stoforos, Chrysostomos, 1999. "Exploring the Impact of Agricultural Price and Trade Policy Reform under Transition in Albania," Economic Change and Restructuring, Springer, vol. 32(2), pages 103-127.
    3. Macours, Karen & Swinnen, Johan F. M., 2000. "Causes of Output Decline in Economic Transition: The Case of Central and Eastern European Agriculture," Journal of Comparative Economics, Elsevier, vol. 28(1), pages 172-206, March.
    4. Cungu, Azeta & Swinnen, Johan F M, 1999. "Albania's Radical Agrarian Reform," Economic Development and Cultural Change, University of Chicago Press, vol. 47(3), pages 605-619, April.

  65. Quiggin, John C. & Karagiannis, Giannis & Stanton, J., 1993. "Crop Insurance And Crop Production: An Empirical Study Of Moral Hazard And Adverse Selection," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 37(2), pages 1-19, August.

    Cited by:

    1. Ogutu, Sylvester Ochieng & Okello, Julius Juma & Otieno, David Jakinda, 2014. "Impact of Information and Communication Technology-Based Market Information Services on Smallholder Farm Input Use and Productivity: The Case of Kenya," World Development, Elsevier, vol. 64(C), pages 311-321.
    2. Tang, Lin & Luo, Xiaofeng, 2021. "Can agricultural insurance encourage farmers to apply biological pesticides? Evidence from rural China," Food Policy, Elsevier, vol. 105(C).
    3. Feng, Shuaizhang & Han, Yujie & Qiu, Huanguang, 2021. "Does crop insurance reduce pesticide usage? Evidence from China," China Economic Review, Elsevier, vol. 69(C).
    4. Barnett, Barry J., 2004. "Agricultural Index Insurance Products: Strengths And Limitations," Agricultural Outlook Forum 2004 32971, United States Department of Agriculture, Agricultural Outlook Forum.
    5. Yu, Jisang & Hendricks, Nathan P., 2017. "Crop Insurance Moral Hazard from Price and Weather Forecasts," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258336, Agricultural and Applied Economics Association.
    6. Vitor Ozaki, 2009. "Pricing farm-level agricultural insurance: a Bayesian approach," Empirical Economics, Springer, vol. 36(2), pages 231-242, May.
    7. Zhao, Yuanfeng & Zhang, Xuguang, 2016. "Dairy Cattle Insurance Will Change Dairy Farmers' Anti-risk Inputs?," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236231, Agricultural and Applied Economics Association.
    8. JunJie Wu & Bruce A. Babcock & P. G. Lakshminarayan, 1996. "Choice of Tillage, Rotation, and Soil Testing Practices: Economic and Environmental Implications, The," Center for Agricultural and Rural Development (CARD) Publications 96-wp161, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    9. Bixter, Michael T. & Luhmann, Christian C., 2014. "Shared losses reduce sensitivity to risk: A laboratory study of moral hazard," Journal of Economic Psychology, Elsevier, vol. 42(C), pages 63-73.
    10. Gregory Colson & Octavio A. Ramirez & Shengfei Fu, 2014. "Crop Insurance Savings Accounts: A Viable Alternative to Crop Insurance?," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 36(3), pages 527-545.
    11. Coleman, Jane A. & Shaik, Saleem, 2009. "Time-Varying Estimation of Crop Insurance Program in Altering North Dakota Farm Economic Structure," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49516, Agricultural and Applied Economics Association.
    12. N. Becker, 1999. "A comparative analysis of water price support versus drought compensation scheme," Agricultural Economics, International Association of Agricultural Economists, vol. 21(1), pages 81-92, August.
    13. Jisang Yu & Nathan P. Hendricks, 2020. "Input Use Decisions with Greater Information on Crop Conditions: Implications for Insurance Moral Hazard and the Environment," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(3), pages 826-845, May.
    14. Babcock, Bruce A. & Hennessy, David A., 1996. "Input Demand Under Yield and Revenue Insurance," Staff General Research Papers Archive 794, Iowa State University, Department of Economics.
    15. Piet, Laurent & Bougherara, Douadia, 2016. "The impact of farmers' risk preferences on the design of an individual yield crop insurance," Working Papers 233495, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    16. Paloch Suchato & Taro Mieno & Karina Schoengold & Timothy Foster, 2022. "The potential for moral hazard behavior in irrigation decisions under crop insurance," Agricultural Economics, International Association of Agricultural Economists, vol. 53(2), pages 257-273, March.
    17. Makki Shiva S. & Somwaru Agapi L., 2007. "Assessing Adverse Selection in Crop Insurance Markets: An Application of Parametric and Nonparametric Methods," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 2(1), pages 1-22, May.
    18. Shahbaz Mushtaq & Jarrod Kath & Roger Stone & Ross Henry & Peter Läderach & Kathryn Reardon-Smith & David Cobon & Torben Marcussen & Neil Cliffe & Paul Kristiansen & Frederik Pischke, 2020. "Creating positive synergies between risk management and transfer to accelerate food system climate resilience," Climatic Change, Springer, vol. 161(3), pages 465-478, August.
    19. Richards, Timothy J. & Mischen, Pamela, 1997. "The Demand for Specialty-Crop Insurance: Adverse Selection and Moral Hazard," 1997 Annual Meeting, July 13-16, 1997, Reno\ Sparks, Nevada 35847, Western Agricultural Economics Association.
    20. Weber, Jeremy G. & Key, Nigel & O'Donoghue, Erik J., 2015. "Does Federal Crop Insurance Encourage Farm Specialization and Fertilizer and Chemical Use?," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 204972, Agricultural and Applied Economics Association.
    21. Arora, Gaurav & Agarwal, Sandip, 2021. "Agricultural Input Use and Index Insurance Adoption: Concept and Evidence," 2021 Conference, August 17-31, 2021, Virtual 315884, International Association of Agricultural Economists.
    22. Alberto Garrido & David Zilberman, 2008. "Revisiting the demand for agricultural insurance: the case of Spain," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 68(1), pages 43-66, May.
    23. Glauber, Joseph W., 2017. "Agricultural insurance and the WTO:," IFPRI book chapters, in: Bouët, Antoine & Laborde Debucquet, David (ed.), Agriculture, development, and the global trading system: 2000– 2015, chapter 10, International Food Policy Research Institute (IFPRI).
    24. Chongshang Zhang & Kaiyu Lyu & Chi Zhang, 2024. "The Impact of Crop Insurance on Fertilizer Use: Evidence from Grain Producers in China," Agriculture, MDPI, vol. 14(3), pages 1-13, March.
    25. Rejesus, Roderick M. & Lovell, Ashley C. & Little, Bertis B. & Cross, Mike H., 2003. "Determinants of Anomalous Prevented Planting Claims: Theory and Evidence from Crop Insurance," Agricultural and Resource Economics Review, Cambridge University Press, vol. 32(2), pages 244-258, October.
    26. Cory G. Walters & C. Richard Shumway & Hayley H. Chouinard & Philip R. Wandschneider, 2008. "Information and Opportunistic Behavior in Federal Crop Insurance Programs," Working Papers 2008-9, School of Economic Sciences, Washington State University.
    27. Christophe Bontemps & Douadia Bougherara & Céline Nauges, 2021. "Do risk preferences really matter? the case of pesticide use in agriculture," Post-Print hal-03342609, HAL.
    28. Juan He & Xiaoyong Zheng & Roderick Rejesus & Jose Yorobe, 2020. "Input use under cost‐of‐production crop insurance: Theory and evidence," Agricultural Economics, International Association of Agricultural Economists, vol. 51(3), pages 343-357, May.
    29. Martin, Steven W. & Barnett, Barry J. & Coble, Keith H., 2001. "Developing And Pricing Precipitation Insurance," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 26(1), pages 1-14, July.
    30. Niklas Möhring & Tobias Dalhaus & Geoffroy Enjolras & Robert Finger, 2020. "Crop insurance and pesticide use in European agriculture," Post-Print hal-03982974, HAL.
    31. He, Juan & Zheng, Xiaoyong & Rejesus, Roderick & Yorobe, Jose Jr, 2016. "Estimating the Effect of Crop Insurance on Input Use When Insured Farmers are Monitored," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235225, Agricultural and Applied Economics Association.
    32. Atwood, Joseph A. & Robinson-Cox, Jim & Shaik, Saleem, 2004. "A Statistical Examination Of Yield Switching Fraud In The Federal Crop Insurance Program," 2004 Annual meeting, August 1-4, Denver, CO 19983, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    33. Shaik, Saleem & Atwood, Joseph A., 2002. "An Examination Of Different Types Of Adverse Selection In Federal Crop Insurance," 2002 Annual Meeting, July 28-31, 2002, Long Beach, California 36649, Western Agricultural Economics Association.
    34. Jeremy G. Weber & Nigel Key & Erik O’Donoghue, 2016. "Does Federal Crop Insurance Make Environmental Externalities from Agriculture Worse?," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 3(3), pages 707-742.
    35. Deng, Xiaohui & Barnett, Barry J. & Hoogenboom, Gerrit & Yu, Yingzhuo & Garcia, Axel, 2006. "Evaluating the Efficiency of Crop Index Insurance Products," 2006 Annual Meeting, February 5-8, 2006, Orlando, Florida 35333, Southern Agricultural Economics Association.
    36. Adeyemi Esuola & Michael Hoy & Zahirul Islam & Calum G. Turvey, 2007. "Evaluating the effects of asymmetric information in a model of crop insurance," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 67(2), pages 341-356, November.
    37. Andrea Martínez Salgueiro & Maria-Antonia Tarrazon-Rodon, 2020. "Approaching rainfall-based weather derivatives pricing and operational challenges," Review of Derivatives Research, Springer, vol. 23(2), pages 163-190, July.
    38. Salazar, Cesar & Jaime, Marcela & Pinto, Cristian & Acuna, Andres, 2019. "Interaction between crop insurance and technology adoption decisions: The case of wheat farmers in Chile," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(3), July.
    39. Mitchell, Paul David, 1999. "The theory and practice of green insurance: insurance to encourage the adoption of corn rootworm IPM," ISU General Staff Papers 1999010108000013154, Iowa State University, Department of Economics.
    40. Sankalp Sharma & Cory G. Walters, 2020. "Influence of farm size and insured type on crop insurance returns," Agribusiness, John Wiley & Sons, Ltd., vol. 36(3), pages 440-452, June.
    41. Lubowski, Ruben N. & Bucholtz, Shawn & Claassen, Roger & Roberts, Michael J. & Cooper, Joseph C. & Gueorguieva, Anna & Johansson, Robert C., 2006. "Environmental Effects Of Agricultural Land-Use Change: The Role Of Economics And Policy," Economic Research Report 33591, United States Department of Agriculture, Economic Research Service.
    42. Kemeze, Francis H. & Miranda, Mario J. & Kuwornu, John & Amin-Somuah, Henry, 2016. "Optimal Management of Runoff Reservoir Supply: The Case of Tono Reservoir in Northern Ghana," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236030, Agricultural and Applied Economics Association.
    43. Hui Mao & Shaojian Chen & RuiYao Ying & Yong Fu, 2023. "How crop insurance influences agrochemical input use: Evidence from cotton farmers in China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(2), pages 224-244, April.
    44. Liguo Zhang & Xuerong Li, 2016. "The Impact of Traditional Culture on Farmers’ Moral Hazard Behavior in Crop Production: Evidence from China," Sustainability, MDPI, vol. 8(7), pages 1-15, July.
    45. Cai, Rong & Ma, Jie & Wang, shujuan & Cai, Shukai, 2024. "Can crop insurance help optimize farmers’ decisions on pesticides use? Evidence from family farms in East China," Journal of Asian Economics, Elsevier, vol. 92(C).
    46. Rao, Xudong & Cai, Qingyin & Zhang, Yuehua, 2021. "Moral Hazard in Compulsory Insurance – Evidence from a Quasi-Experiment on Hog Insurance in China," 2021 Conference, August 17-31, 2021, Virtual 315356, International Association of Agricultural Economists.
    47. Md Monjurul Islam & Tofael Ahamed & Ryozo Noguchi, 2018. "Land Suitability and Insurance Premiums: A GIS-based Multicriteria Analysis Approach for Sustainable Rice Production," Sustainability, MDPI, vol. 10(6), pages 1-28, May.
    48. Hanson, Steven D. & Black, J. Roy & Wang, H. Holly, 2000. "Can Revenue Insurance Substitute For Price And Yield Risk Management Instruments?," Staff Paper Series 11655, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    49. Erich Seamon & Paul E. Gessler & John T. Abatzoglou & Philip W. Mote & Stephen S. Lee, 2023. "Climatic Damage Cause Variations of Agricultural Insurance Loss for the Pacific Northwest Region of the United States," Agriculture, MDPI, vol. 13(12), pages 1-13, November.
    50. Joseph A. Atwood & James F. Robison-Cox & Saleem Shaik, 2006. "Estimating the Prevalence and Cost of Yield-Switching Fraud in the Federal Crop Insurance Program," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(2), pages 365-381.
    51. Yehouenou, Lauriane S. M. & Barnett, Barry J. & Harri, Ardian & Coble, Keith H., 2016. "An Analysis of Factors Affecting Bias and Inefficiency in Area Yield Indexes Based on Aggregated Farm Yields," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 230081, Southern Agricultural Economics Association.
    52. Shaik, Saleem & Atwood, Joseph A., 2002. "Optional Unit Policy In Crop Insurance," 2002 Annual meeting, July 28-31, Long Beach, CA 19741, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    53. SPAULDING Aslihan & KANAKASABAI Murali & HAO Jianqiang & SKEES Jerry, 2010. "Can Weather Derivative Contracts Help Mitigating Agricultural Risk? Microeconomic Policy Implications for Romania," EcoMod2003 330700139, EcoMod.
    54. Coyle, Barry T. & Wei, Ran & Rude, James, 2008. "Dynamic Econometric Models of Manitoba Crop Production and Hypothetical Production Impacts for CAIS," Working Papers 46630, Canadian Agricultural Trade Policy Research Network.
    55. Juan He & Roderick Rejesus & Xiaoyong Zheng & Jose Yorobe, 2018. "Advantageous Selection in Crop Insurance: Theory and Evidence," Journal of Agricultural Economics, Wiley Blackwell, vol. 69(3), pages 646-668, September.
    56. Tao Li & Lihong Chen & Xiaoxu Li & Sha Li & Haibing Chen & Hao Ji, 2021. "The Impact of Cost-of-Production Insurance on Input Expense of Fruit Growing in Ecologically Vulnerable Areas: Evidence from Shaanxi Province of China," Sustainability, MDPI, vol. 13(21), pages 1-14, November.
    57. Shaik, Saleem & Atwood, Joseph A., 2000. "Estimating The Demand Of Crop Insurance And Supply Of Indemnity Payments: Nebraska Agriculture Sector," 2000 Annual meeting, July 30-August 2, Tampa, FL 21795, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    58. Martínez-Salgueiro, Andrea & Tarrazón-Rodón, María-Antonia, 2020. "Is diversification effective in reducing the systemic risk implied by a market for weather index-based insurance in Spain?," MPRA Paper 119924, University Library of Munich, Germany, revised 19 May 2021.
    59. Shenan Wu & Barry K. Goodwin & Keith Coble, 2020. "Moral hazard and subsidized crop insurance," Agricultural Economics, International Association of Agricultural Economists, vol. 51(1), pages 131-142, January.
    60. Walters, Cory, 2014. "Nebraska: Asymmetric Information in Crop Insurance," Cornhusker Economics 306877, University of Nebraska-Lincoln, Department of Agricultural Economics.
    61. Ker, Alan P. & McGowan, Pat, 2000. "Weather-Based Adverse Selection And The U.S. Crop Insurance Program: The Private Insurance Company Perspective," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(2), pages 1-25, December.
    62. He, Juan & Zheng, Xiaoyong & Rejesus, Roderick M. & Yorobe Jr., Jose M., 2019. "Moral hazard and adverse selection effects of cost-of-production crop insurance: evidence from the Philippines," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(1), January.
    63. Jeddi, Samir & Lencz, Dominic & Wildgrube, Theresa, 2021. "Complementing carbon prices with Carbon Contracts for Difference in the presence of risk - When is it beneficial and when not?," EWI Working Papers 2021-9, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI), revised 16 Aug 2022.
    64. Sil, Jayashree, 2002. "Forward Contracts And Crop Insurance: Should Premiums Be Adjusted For Risk Management Practice?," 2002 Annual meeting, July 28-31, Long Beach, CA 19638, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    65. Soule, Meredith J. & Nimon, R. Wesley & Mullarkey, Daniel J., 2001. "Risk Management And The Environment: Impacts At The Intensive And Extensive Margins," 2001 Annual meeting, August 5-8, Chicago, IL 20670, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    66. Michael J. Roberts & Erik O'Donoghue & Nigel Key, 2014. "Separating Moral Hazard from Adverse Selection: Evidence from the U.S. Federal Crop Insurance Program," Working Papers 201410, University of Hawaii at Manoa, Department of Economics.
    67. Nimon, R. Wesley & Mishra, Ashok K., 2001. "Revenue Insurance and Chemical Input Use Rates," 2001 Annual meeting, August 5-8, Chicago, IL 20669, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    68. Ghahremanzadeh, Mohammad & Mohammadrezaei, Rassul & Dashti, Ghader & Ainollahi, Moharram, 2018. "Designing a whole-farm revenue insurance for agricultural crops in Zanjan province of Iran," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 17(02), January.

  66. Giannis Karagiannis & W. Hartley Furtan, 1993. "Production Structure and Decomposition of Biased Technical Change: An Example from Canadian Agriculture," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 15(1), pages 21-37.

    Cited by:

    1. Krasachat, W., 2000. "Production Structure and Technical Change in Thai Agriculture, 1972-1994," 2000 Conference (44th), January 23-25, 2000, Sydney, Australia 123688, Australian Agricultural and Resource Economics Society.
    2. Roberto Esposti & Pierpaolo Pierani, 2008. "Price-induced technical progress in Italian agriculture," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement, INRA Department of Economics, vol. 89(4), pages 5-28.
    3. Pardey, Philip G. & Alston, Julian M. & Ruttan, Vernon W., 2010. "The Economics of Innovation and Technical Change in Agriculture," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 2, chapter 0, pages 939-984, Elsevier.
    4. Mupondwa, Edmund K., 2005. "Induced Technological Change in Canadian Agriculture Field Crops - Canola and Wheat: 1926-2003," 2005 Annual meeting, July 24-27, Providence, RI 19333, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Shumway, C. Richard, 1995. "Recent Duality Contributions In Production Economics," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 20(1), pages 1-17, July.

  67. Giannis Karagiannis & W. Hartley Furtan, 1990. "Induced Innovation in Canadian Agriculture: 1926–87," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 38(1), pages 1-21, March.

    Cited by:

    1. Roberto Esposti & Pierpaolo Pierani, 2008. "Price-induced technical progress in Italian agriculture," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement, INRA Department of Economics, vol. 89(4), pages 5-28.
    2. Pardey, Philip G. & Alston, Julian M. & Ruttan, Vernon W., 2010. "The Economics of Innovation and Technical Change in Agriculture," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 2, chapter 0, pages 939-984, Elsevier.
    3. Clark, J. Stephen & Cechura, Lukas, 2012. "Induced Innovation in Canadian Agriculture," 131st Seminar, September 18-19, 2012, Prague, Czech Republic 135783, European Association of Agricultural Economists.
    4. Qingsong Tian & Lukas Cechura & J. Stephen Clark & Yan Yu, 2023. "Induced innovation and spillover effects of US and Canadian research expenditures in Canadian agriculture," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 71(2), pages 153-169, June.
    5. Lew, Byron, 2000. "The Diffusion of Tractors on the Canadian Prairies: The Threshold Model and the Problem of Uncertainty," Explorations in Economic History, Elsevier, vol. 37(2), pages 189-216, April.

Chapters

  1. Giannis Karagiannis, 2021. "DEA Models Without Inputs or Outputs: A Tour de Force," Springer Proceedings in Business and Economics, in: Christopher F. Parmeter & Robin C. Sickles (ed.), Advances in Efficiency and Productivity Analysis, pages 211-232, Springer.

    Cited by:

    1. Nicky Rogge & Alena Kolyaseva, 2022. "Measuring and comparing World Bank regions’ ‘ease of doing business’ opportunity sets," Journal of Productivity Analysis, Springer, vol. 57(2), pages 131-155, April.
    2. Giannis Karagiannis & Panagiotis Ravanos, 2023. "A Composite Indicator of Social Inclusion for EU based on the Inverted BoD Model," Discussion Paper Series 2023_02, Department of Economics, University of Macedonia, revised Feb 2023.
    3. Panagiotis Ravanos & Giannis Karagiannis, 2023. "On VEA, production trade-offs and weights restrictions," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 74(10), pages 2081-2093, October.
    4. Karagiannis, Giannis, 2023. "Aggregating faculty members’ research effectiveness to the department or university level: Exact versus approximate solutions," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
    5. Karagiannis, Roxani & Karagiannis, Giannis, 2023. "Nonparametric estimates of price efficiency for the Greek infant milk market: Curing the curse of dimensionality with shannon entropy," Economic Modelling, Elsevier, vol. 121(C).

  2. Emmanuel Thanassoulis & Kristof Witte & Jill Johnes & Geraint Johnes & Giannis Karagiannis & Conceição S. Portela, 2016. "Applications of Data Envelopment Analysis in Education," International Series in Operations Research & Management Science, in: Joe Zhu (ed.), Data Envelopment Analysis, chapter 0, pages 367-438, Springer.

    Cited by:

    1. Oleg Badunenko & Daniel J. Henderson, 2024. "Production analysis with asymmetric noise," Journal of Productivity Analysis, Springer, vol. 61(1), pages 1-18, February.
    2. Carlucci, Fabio & Corcione, Carlo & Mazzocchi, Paolo & Trincone, Barbara, 2021. "The role of logistics in promoting Italian agribusiness: The Belt and Road Initiative case study," Land Use Policy, Elsevier, vol. 108(C).
    3. Gulati, Rachita & Kattumuri, Ruth & Kumar, Sunil, 2020. "A non-parametric index of corporate governance in the banking industry: An application to Indian data," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    4. Jill Johnes & Swati Virmani, 2020. "Chief executive pay in UK higher education: the role of university performance," Annals of Operations Research, Springer, vol. 288(2), pages 547-576, May.
    5. Min-Chun Yu & Chia-Nan Wang & Nguyen-Nhu-Y Ho, 2016. "A Grey Forecasting Approach for the Sustainability Performance of Logistics Companies," Sustainability, MDPI, vol. 8(9), pages 1-18, August.
    6. Marius Sorin Dincă & Gheorghiţa Dincă & Maria Letiţia Andronic & Anna Maria Pasztori, 2021. "Assessment of the European Union’s Educational Efficiency," Sustainability, MDPI, vol. 13(6), pages 1-29, March.
    7. Giannis Karagiannis & Georgia Paschalidou, 2017. "Assessing research effectiveness: a comparison of alternative nonparametric models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 456-468, April.
    8. Rachita Gulati, 2022. "Does regulatory under‐compliance with governance standards lead to bank instability? An exploration using Indian data," Australian Economic Papers, Wiley Blackwell, vol. 61(1), pages 138-180, March.
    9. Rebai, Sonia & Ben Yahia, Fatma & Essid, Hédi, 2020. "A graphically based machine learning approach to predict secondary schools performance in Tunisia," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    10. Dovile Stumbriene & Ana S. Camanho & Audrone Jakaitiene, 2020. "The performance of education systems in the light of Europe 2020 strategy," Annals of Operations Research, Springer, vol. 288(2), pages 577-608, May.
    11. Thanassoulis, E. & Sotiros, D. & Koronakos, G. & Despotis, D., 2018. "Assessing the cost-effectiveness of university academic recruitment and promotion policies," European Journal of Operational Research, Elsevier, vol. 264(2), pages 742-755.
    12. Tomás Fontalvo Herrera & José Morelos Gómez & Adel Mendoza Mendoza, 2019. "Evaluación de la eficiencia de las empresas del sector carbón en Colombia," Revista Facultad de Ciencias Económicas, Universidad Militar Nueva Granada, vol. 27(1), pages 43-56, February.
    13. Silva, Maria C.A. & Camanho, Ana S. & Barbosa, Flávia, 2020. "Benchmarking of secondary schools based on Students’ results in higher education," Omega, Elsevier, vol. 95(C).
    14. Abolghasem Naderi, 2022. "Efficiency measurement of higher education units using multilevel frontier analysis," Journal of Productivity Analysis, Springer, vol. 57(1), pages 79-92, February.
    15. Karagiannis, Giannis, 2023. "Aggregating faculty members’ research effectiveness to the department or university level: Exact versus approximate solutions," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
    16. Fritz Schiltz & Kristof Witte & Deni Mazrekaj, 2020. "Managerial efficiency and efficiency differentials in adult education: a conditional and bias-corrected efficiency analysis," Annals of Operations Research, Springer, vol. 288(2), pages 529-546, May.
    17. Seyed Ali Rakhshan, 2017. "Efficiency ranking of decision making units in data envelopment analysis by using TOPSIS-DEA method," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(8), pages 906-918, August.
    18. Cossani, Gianfranco & Codoceo, Loreto & Cáceres, Hernán & Tabilo, Jorge, 2022. "Technical efficiency in Chile’s higher education system: A comparison of rankings and accreditation," Evaluation and Program Planning, Elsevier, vol. 92(C).

  3. Giannis Karagiannis & Theodore Palivos & Chris Papageorgiou, 2005. "Variable Elasticity of Substitution and Economic Growth: Theory and Evidence," Springer Books, in: Claude Diebolt & Catherine Kyrtsou (ed.), New Trends in Macroeconomics, pages 21-37, Springer.

    Cited by:

    1. David Cheban & Cristiana Mammana & Elisabetta Michetti, 2012. "Non-Autonomous Difference Equations: Global Attractor in a Business-Cycle Model with Endogenous Population Growth," Working Papers 69-2012, Macerata University, Department of Finance and Economic Sciences, revised Sep 2015.
    2. Jianpo Xue & Chong K. Yip, 2012. "Aggregate Elasticity of Substitution and Economic Growth: A Synthesis," DEGIT Conference Papers c017_011, DEGIT, Dynamics, Economic Growth, and International Trade.
    3. Antony, Jürgen, 2009. "A dual elasticity of substitution production function with an application to cross-country inequality," Economics Letters, Elsevier, vol. 102(1), pages 10-12, January.
    4. Alison Felix, 2007. "The incidence of capital taxation and the magnitude of its burden," Regional Research Working Paper RRWP 07-02, Federal Reserve Bank of Kansas City.
    5. Xavier Raurich & Hector Sala & Valeri Sorolla, 2010. "Factor shares, the price markup, and the elasticity of substitution between capital and labor," Working Papers in Economics 250, Universitat de Barcelona. Espai de Recerca en Economia.
    6. Anastastia Litina & Theodore Palivos, 2008. "The Behaviour of the Saving Rate in the Neoclassical Optimal Growth Model," Discussion Paper Series 2008_05, Department of Economics, University of Macedonia, revised Jun 2008.
    7. Nikolaos Rodousakis, 2014. "The Stability Properties of Goodwin’s Growth Cycle Model with a Variable Elasticity of Substitution Production Function," Studies in Microeconomics, , vol. 2(2), pages 213-223, December.
    8. Bellocchi, Alessandro & Travaglini, Giuseppe, 2023. "Can variable elasticity of substitution explain changes in labor shares?," Journal of Macroeconomics, Elsevier, vol. 76(C).
    9. Frederic Dufourt & Alain Venditti & Rémi Vivès, 2018. "On sunspot fluctuations in variable capacity utilization models," Post-Print hal-01729346, HAL.
    10. Ara Jo & Alena Miftakhova, 2022. "How Constant is Constant Elasticity of Substitution? Endogenous Substitution between Clean and Dirty Energy," CER-ETH Economics working paper series 22/369, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    11. Chris Papageorgiou & Marianne Saam, 2008. "Two‐level CES Production Technology in the Solow and Diamond Growth Models," Scandinavian Journal of Economics, Wiley Blackwell, vol. 110(1), pages 119-143, March.
    12. Kilponen, Juha & Virén, Matti, 2008. "Why do growth rates differ? Evidence from cross-country data on private sector production," Bank of Finland Research Discussion Papers 13/2008, Bank of Finland.
    13. Kefei You & Nicholas Sarantis, 2013. "Structural breaks, rural transformation and total factor productivity growth in China," Journal of Productivity Analysis, Springer, vol. 39(3), pages 231-242, June.
    14. Edgardo A. Ayala Gaytán & Joana C. Chapa Cantú & Juan D. Murguía Hernández, 2011. "Una reconsideración sobre la convergencia regional en México," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 26(2), pages 217-247.
    15. Zaman, Gheorghe & Goschin, Zizi & Partachi, Ion & Herteliu, Claudiu, 2007. "The Contribution of Labour and Capital to Romania's and Moldova's Economic Growth," MPRA Paper 88834, University Library of Munich, Germany.
    16. Serena Brianzoni & Cristiana Mammana & Elisabetta Michetti, 2012. "Local and Global Dynamics in a Discrete Time Growth Model with Nonconcave Production Function," Working Papers 70-2012, Macerata University, Department of Finance and Economic Sciences, revised Sep 2015.
    17. Nicolas Abad & Thomas Seegmuller & Alain Venditti, 2014. "Non-Separable Preferences do not Rule Out Aggregate Instability under Balanced-Budget Rules: A Note," AMSE Working Papers 1826, Aix-Marseille School of Economics, France.
    18. Tim Jackson & Peter Victor & Asjad Naqvi, 2016. "Towards a Stock-Flow Consistent Ecological Macroeconomics. WWWforEurope Working Paper No. 114," WIFO Studies, WIFO, number 58788, April.
    19. Jo, Ara & Miftakhova, Alena, 2024. "How constant is constant elasticity of substitution? Endogenous substitution between clean and dirty energy," Journal of Environmental Economics and Management, Elsevier, vol. 125(C).
    20. Vladimir D. Matveenk, 2011. "Interests of Social Groups, Direction of Technical Progress, and Barriers to Development: How Sustainable is the World Economic Growth?," DEGIT Conference Papers c016_047, DEGIT, Dynamics, Economic Growth, and International Trade.
    21. Jackson, Tim & Victor, Peter A., 2016. "Does slow growth lead to rising inequality? Some theoretical reflections and numerical simulations," Ecological Economics, Elsevier, vol. 121(C), pages 206-219.
    22. Alessandro Bellocchi & Giovanni Marin & Giuseppe Travaglini, 2021. "The Great Fall of Labor Share:Micro Determinants for EU Countries Over 2011-2019," Working Papers 2102, University of Urbino Carlo Bo, Department of Economics, Society & Politics - Scientific Committee - L. Stefanini & G. Travaglini, revised 2021.
    23. Kemnitz, Alexander & Knoblach, Michael, 2020. "Endogenous sigma-augmenting technological change: An R&D-based approach," CEPIE Working Papers 02/20, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    24. Luise Röpke, 2015. "Essays on the Integration of New Energy Sources into Existing Energy Systems," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 58.
    25. Yoseph Yilma Getachew, 2011. "Public Investment Policy, Distribution, and Growth: What Levels of Redistribution through Public Investment Maximize Growth?," DEGIT Conference Papers c016_072, DEGIT, Dynamics, Economic Growth, and International Trade.
    26. Jürgen Antony, 2010. "A class of changing elasticity of substitution production functions," Journal of Economics, Springer, vol. 100(2), pages 165-183, June.
    27. Nguyen Ngoc Thach, 2020. "Macroeconomic Growth in Vietnam Transitioned to Market: An Unrestricted VES Framework," Economies, MDPI, vol. 8(3), pages 1-15, July.
    28. Manuel A. Gómez, 2020. "Factor substitution, long‐run growth, and speed of convergence in the one‐sector convex endogenous‐growth model," Metroeconomica, Wiley Blackwell, vol. 71(1), pages 2-21, February.
    29. Fabian Stöckl & Alexander Zerrahn, 2023. "Substituting Clean for Dirty Energy: A Bottom-Up Analysis," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 10(3), pages 819-863.
    30. Nguyen Ngoc Thach, 2020. "The Variable Elasticity of Substitution Function and Endogenous Growth: An Empirical Evidence from Vietnam," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(1), pages 263-277.
    31. Nicolas Abad, 2019. "Firms' Labor Market Power and Aggregate Instability," Working Papers hal-02329802, HAL.

Books

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