IDEAS home Printed from https://ideas.repec.org/e/c/pag104.html
   My authors  Follow this author

Per J. Agrell

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. Agrell, Per Joakim & Teusch, Jonas, 2020. "Predictability and strategic behavior under frontier regulation," LIDAM Reprints CORE 3094, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Henrique Faverzani Drago & Gilnei Luiz Moura & Luciana Santos Costa Vieira Silva & Claudimar Pereira Veiga & Fabíola Kaczam & Luciana Peixoto Santa Rita & Wesley Vieira Silva, 2023. "Reviewing the relationship between organizational performance, dynamic capabilities and strategic behavior," SN Business & Economics, Springer, vol. 3(1), pages 1-22, January.
    2. Waidelich, Paul & Haug, Tomas & Wieshammer, Lorenz, 2022. "German efficiency gone wrong: Unintended incentives arising from the gas TSOs’ benchmarking," Energy Policy, Elsevier, vol. 160(C).

  2. Hatami-Marbini, Adel & Hekmat, Siavash & Agrell, Per Joakim, 2020. "A strategy-based framework for supplier selection: a grey PCA-DEA approach," LIDAM Reprints CORE 3095, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Pankaj Dutta & Bharath Jaikumar & Manpreet Singh Arora, 2022. "Applications of data envelopment analysis in supplier selection between 2000 and 2020: a literature review," Annals of Operations Research, Springer, vol. 315(2), pages 1399-1454, August.
    2. Özlem Arslan & Necip Karakurt & Ecem Cem & Selcuk Cebi, 2023. "Risk Analysis in the Food Cold Chain Using Decomposed Fuzzy Set-Based FMEA Approach," Sustainability, MDPI, vol. 15(17), pages 1-20, September.
    3. Fayu Chen & Jinhao Liu & Xiaoyu Liu & Hua Zhang, 2023. "Static and Dynamic Evaluation of Financing Efficiency in Enterprises’ Low-Carbon Supply Chain: PCA–DEA–Malmquist Model Method," Sustainability, MDPI, vol. 15(3), pages 1-17, January.
    4. Katerina Fotova Čiković & Ivana Martinčević & Joško Lozić, 2022. "Application of Data Envelopment Analysis (DEA) in the Selection of Sustainable Suppliers: A Review and Bibliometric Analysis," Sustainability, MDPI, vol. 14(11), pages 1-30, May.

  3. Per J. Agrell & Pontus Mattsson & Jonas Mansson, 2019. "Impacts on efficiency of merging the Swedish district courts," LIDAM Reprints CORE 3042, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Paolo Mazzocchi & Claudio Quintano & Antonella Rocca, 2024. "Efficiency analysis using SBM and PLS-SEM: insights from the Italian judicial system," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(6), pages 5621-5654, December.
    2. Giacalone, Massimiliano & Nissi, Eugenia & Cusatelli, Carlo, 2020. "Dynamic efficiency evaluation of Italian judicial system using DEA based Malmquist productivity indexes," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
    3. Kuei-Hu Chang & Yi-Jun Chen & Chung-Cheng Liao, 2024. "A novel improved FMEA method using data envelopment analysis method and 2-tuple fuzzy linguistic model," Annals of Operations Research, Springer, vol. 341(1), pages 485-507, October.
    4. Xiaoqing Chen & Kristiaan Kerstens & Qingyuan Zhu, 2021. "Exploring Horizontal Mergers in Swedish District Courts Using Convex and Nonconvex Technologies: Usefulness of a Conservative Approach," Working Papers 2021-EQM-05, IESEG School of Management.
    5. Lopes, Nuno Q.M. & Silva, Maria C.A., 2024. "Scale and scope economies in first-instance courts: Portuguese specialized vs non-specialized courts," International Review of Law and Economics, Elsevier, vol. 79(C).
    6. Aparicio, Juan & Ortiz, Lidia & Santín, Daniel, 2021. "Comparing group performance over time through the Luenberger productivity indicator: An application to school ownership in European countries," European Journal of Operational Research, Elsevier, vol. 294(2), pages 651-672.
    7. Jonas Månsson & Christian Andersson & Fredrik Bonander, 2022. "What lessons can be learned from cost efficiency? The case of Swedish district courts," European Journal of Law and Economics, Springer, vol. 54(3), pages 431-451, December.
    8. Xiaoqing Chen & Kristiaan Kerstens & Mike Tsionas, 2023. "Does Productivity Change at All in Swedish District Courts? Empirical Analysis Focusing on Horizontal Mergers," Working Papers 2023-EQM-03, IESEG School of Management.
    9. Xiaoqing Chen & Kristiaan Kerstens, 2022. "Evaluating horizontal mergers in Swedish district courts using plant capacity concepts: with a focus on nonconvexity," Post-Print halshs-03924994, HAL.
    10. Amir Moradi-Motlagh & Ali Emrouznejad, 2022. "The origins and development of statistical approaches in non-parametric frontier models: a survey of the first two decades of scholarly literature (1998–2020)," Annals of Operations Research, Springer, vol. 318(1), pages 713-741, November.
    11. Sila Mishra, 2023. "‘Cyclic syndrome’ of arrears and efficiency of Indian judiciary," SN Business & Economics, Springer, vol. 3(1), pages 1-27, January.
    12. Duras, Toni & Javed, Farrukh & Månsson, Kristofer & Sjölander, Pär & Söderberg, Magnus, 2023. "Using machine learning to select variables in data envelopment analysis: Simulations and application using electricity distribution data," Energy Economics, Elsevier, vol. 120(C).
    13. Daniel Feliciano & Laura López-Torres & Daniel Santín, 2021. "One Laptop per Child? Using Production Frontiers for Evaluating the Escuela 2.0 Program in Spain," Mathematics, MDPI, vol. 9(20), pages 1-17, October.

  4. Manuel HERRERA & Per J. AGRELL & Casiano MANRIQUE-DE-LARA-PENATE & Lourdes TRUJILLO, 2017. "Vessel capacity restrictions in the fleet deployment problem: an application to the Panama Canal," LIDAM Reprints CORE 2862, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Herrera Rodriguez, Manuel & Agrell, Per J. & Manrique-de-Lara-Peñate, Casiano & Trujillo, Lourdes, 2021. "A multi-criteria fleet deployment model for cost, time and environmental impact," LIDAM Reprints CORE 3177, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

  5. Per J. AGRELL & Humberto BREA-SOLIS, 2017. "Capturing heterogeneity in electricity distribution operations: a critical review of latent class modelling," LIDAM Reprints CORE 2827, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Just, Lisa, 2021. "Unobserved technological heterogeneity among German electricity distribution network operators - a latent class analysis," EWI Working Papers 2021-5, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    2. Nieswand, Maria & Seifert, Stefan, 2018. "Environmental factors in frontier estimation – A Monte Carlo analysis," European Journal of Operational Research, Elsevier, vol. 265(1), pages 133-148.
    3. Marta Arbelo-Pérez & Pilar Pérez-Gómez & Antonio Arbelo, 2023. "Profit efficiency and its determinants in the agricultural sector: A Bayesian approach," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 69(11), pages 436-445.
    4. Waidelich, Paul & Haug, Tomas & Wieshammer, Lorenz, 2022. "German efficiency gone wrong: Unintended incentives arising from the gas TSOs’ benchmarking," Energy Policy, Elsevier, vol. 160(C).
    5. Romano, Teresa & Cambini, Carlo & Fumagalli, Elena & Rondi, Laura, 2022. "Setting network tariffs with heterogeneous firms: The case of natural gas distribution," European Journal of Operational Research, Elsevier, vol. 297(1), pages 280-290.
    6. Zhang, Tao & Li, Hong-Zhou & Xie, Bai-Chen, 2022. "Have renewables and market-oriented reforms constrained the technical efficiency improvement of China's electric grid utilities?," Energy Economics, Elsevier, vol. 114(C).

  6. Adel HATAMI-MARBINI & Per J. AGRELL & Hirofumi FUKUYAMA & Kobra GHOLAMI & Pegah KHOSHNEVIS, 2017. "The role of multiplier bounds in fuzzy data envelopment analysis," LIDAM Reprints CORE 2879, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Xiang Ji & Jie Wu & Qingyuan Zhu & Jiasen Sun, 2019. "Using a hybrid heterogeneous DEA method to benchmark China’s sustainable urbanization: an empirical study," Annals of Operations Research, Springer, vol. 278(1), pages 281-335, July.
    2. Matthias Klumpp & Dominic Loske, 2021. "Sustainability and Resilience Revisited: Impact of Information Technology Disruptions on Empirical Retail Logistics Efficiency," Sustainability, MDPI, vol. 13(10), pages 1-20, May.
    3. Loske, Dominic & Klumpp, Matthias, 2021. "Human-AI collaboration in route planning: An empirical efficiency-based analysis in retail logistics," International Journal of Production Economics, Elsevier, vol. 241(C).
    4. Arabmaldar, A. & Sahoo, B.K. & Ghiyasi, M., 2023. "A generalized robust data envelopment analysis model based on directional distance function," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 138962, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    5. Shih-Heng Yu & Chia-Wei Hsu, 2020. "A unified extension of super-efficiency in additive data envelopment analysis with integer-valued inputs and outputs: an application to a municipal bus system," Annals of Operations Research, Springer, vol. 287(1), pages 515-535, April.
    6. 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.
    7. Dariush Akbarian, 2020. "Overall profit Malmquist productivity index under data uncertainty," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-20, December.
    8. Zahra Mohmmad Nejad & Alireza Ghaffari-Hadigheh, 2018. "A novel DEA model based on uncertainty theory," Annals of Operations Research, Springer, vol. 264(1), pages 367-389, May.
    9. Ebubekir Karabacak & Hüseyin Ali Kutlu, 2024. "Evaluating the Efficiencies of Logistics Centers with Fuzzy Logic: The Case of Turkey," Sustainability, MDPI, vol. 16(1), pages 1-25, January.
    10. Gafner, Andreas & Loske, Dominic & Klumpp, Matthias, 2021. "Efficiency measurement of grocery retail warehouses with DEA," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Adapting to the Future: Maritime and City Logistics in the Context of Digitalization and Sustainability. Proceedings of the Hamburg International Conf, volume 32, pages 317-348, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.

  7. Per J. AGRELL & Peter BOGETOFT, 2017. "Decentralization policies for supply chain investments under asymmetric information," LIDAM Reprints CORE 2834, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Gurmeet Singh & Indranil Biswas & Samir K Srivastava, 2023. "Managing supply chain with green and non‐green products: Channel coordination and information asymmetry," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(2), pages 1359-1372, March.
    2. Fei Tang & Ying Dai & Zu‐Jun Ma, 2023. "Optimal joint trade‐in rebate strategies in a retailer‐led supply chain," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(1), pages 399-415, January.
    3. Samuel N. Kirshner & Zhaolin Li, 2022. "Supply chain contracting with competing regretful retailers," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 2196-2211, September.
    4. Wang Lina & Milis Koen & Poelmans Stephan, 2021. "Study on Pollution Cost Control Model under Asymmetric Information Based on Principal Agent," Journal of Systems Science and Information, De Gruyter, vol. 9(5), pages 549-557, October.
    5. Rufeng Wang & Siqi Wang & Shuli Yan, 2021. "Pricing and Coordination Strategies of Dual Channels Considering Consumers’ Channel Preferences," Sustainability, MDPI, vol. 13(20), pages 1-15, October.
    6. Zormpas, Dimitrios, 2020. "Investments under vertical relations and agency conflicts: A real options approach," International Review of Economics & Finance, Elsevier, vol. 70(C), pages 273-287.
    7. Qinpeng Wang & Longfei He, 2018. "Incentive Strategies for Low-Carbon Supply Chains with Asymmetric Information of Carbon Reduction Efficiency," IJERPH, MDPI, vol. 15(12), pages 1-18, December.

  8. Adel HATAMI-MARBINI & Per J. AGRELL & Madjid TAVANA & Pegah KHOSHNEVIS, 2017. "A flexible cross-efficiency fuzzy data envelopment analysis model for sustainable sourcing," LIDAM Reprints CORE 2880, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Fengyi Lin & Sheng-Wei Lin & Wen-Min Lu, 2018. "Sustainability Assessment of Taiwan’s Semiconductor Industry: A New Hybrid Model Using Combined Analytic Hierarchy Process and Two-Stage Additive Network Data Envelopment Analysis," Sustainability, MDPI, vol. 10(11), pages 1-16, November.
    2. Jamal Ouenniche & Skarleth Carrales, 2018. "Assessing efficiency profiles of UK commercial banks: a DEA analysis with regression-based feedback," Annals of Operations Research, Springer, vol. 266(1), pages 551-587, July.
    3. Liu, Hui-hui & Song, Yao-yao & Liu, Xiao-xiao & Yang, Guo-liang, 2020. "Aggregating the DEA prospect cross-efficiency with an application to state key laboratories in China," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    4. Mehdi Soltanifar & Hamid Sharafi, 2022. "A modified DEA cross efficiency method with negative data and its application in supplier selection," Journal of Combinatorial Optimization, Springer, vol. 43(1), pages 265-296, January.
    5. Hashem Omrani & Khatereh Shafaat & Arash Alizadeh, 2019. "Integrated data envelopment analysis and cooperative game for evaluating energy efficiency of transportation sector: a case of Iran," Annals of Operations Research, Springer, vol. 274(1), pages 471-499, March.
    6. Aparicio, Juan & Cordero, Jose M. & Ortiz, Lidia, 2019. "Measuring efficiency in education: The influence of imprecision and variability in data on DEA estimates," Socio-Economic Planning Sciences, Elsevier, vol. 68(C).
    7. Shih-Ping Shen & Jung-Fa Tsai, 2022. "Evaluating the Sustainable Development of the Semiconductor Industry Using BWM and Fuzzy TOPSIS," Sustainability, MDPI, vol. 14(17), pages 1-17, August.
    8. Toshiyuki Sueyoshi & Youngbok Ryu, 2020. "Performance Assessment of the Semiconductor Industry: Measured by DEA Environmental Assessment," Energies, MDPI, vol. 13(22), pages 1-24, November.
    9. Zahra Ghorbani Ravand & Qi Xu, 2021. "Mathematical Modeling for Sustainable Production Line," International Business Research, Canadian Center of Science and Education, vol. 14(1), pages 1-18, January.
    10. Hatami-Marbini, Adel & Hekmat, Siavash & Agrell, Per Joakim, 2020. "A strategy-based framework for supplier selection: a grey PCA-DEA approach," LIDAM Reprints CORE 3095, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    11. Juhi Kamra & Ambica Prakash Mani & Manu Sharma & Sudhanshu Joshi, 2024. "The Nexus between Green Supply Chain Management and Sustainability Performance in the Past Decade," Sustainability, MDPI, vol. 16(17), pages 1-33, August.
    12. Sebastian Lozano & Belarmino Adenso-Diaz, 2018. "Network DEA-based biobjective optimization of product flows in a supply chain," Annals of Operations Research, Springer, vol. 264(1), pages 307-323, May.
    13. Ramin Gharizadeh Beiragh & Reza Alizadeh & Saeid Shafiei Kaleibari & Fausto Cavallaro & Sarfaraz Hashemkhani Zolfani & Romualdas Bausys & Abbas Mardani, 2020. "An integrated Multi-Criteria Decision Making Model for Sustainability Performance Assessment for Insurance Companies," Sustainability, MDPI, vol. 12(3), pages 1-24, January.
    14. Usman Akbar & József Popp & Hameed Khan & Muhammad Asif Khan & Judit Oláh, 2020. "Energy Efficiency in Transportation along with the Belt and Road Countries," Energies, MDPI, vol. 13(10), pages 1-20, May.
    15. Lin, Fengyi & Lin, Sheng-Wei & Fang, Wen-Chang, 2022. "Impact of CEO narcissism and hubris on corporate sustainability and firm performance," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    16. Mohammad Izadikhah & Reza Farzipoor Saen, 2023. "Developing a linear stochastic two-stage data envelopment analysis model for evaluating sustainability of supply chains: a case study in welding industry," Annals of Operations Research, Springer, vol. 322(1), pages 195-215, March.
    17. Yu Yu & Weiwei Zhu & Qian Zhang, 2019. "DEA cross-efficiency evaluation and ranking method based on interval data," Annals of Operations Research, Springer, vol. 278(1), pages 159-175, July.
    18. Katerina Fotova Čiković & Ivana Martinčević & Joško Lozić, 2022. "Application of Data Envelopment Analysis (DEA) in the Selection of Sustainable Suppliers: A Review and Bibliometric Analysis," Sustainability, MDPI, vol. 14(11), pages 1-30, May.

  9. Per J. Agrell & Peter Bogetoft, 2017. "Regulatory benchmarking: Models, analyses and applications," LIDAM Reprints CORE 2912, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Kristiaan Kerstens & Jafar Sadeghi & Mehdi Toloo & Ignace van de Woestyne, 2022. "Procedures for ranking technical and cost efficient units: With a focus on nonconvexity," Post-Print hal-03595989, HAL.
    2. Afsharian, Mohsen & Ahn, Heinz & Lopes, Ana & Vilela, Bruno, 2019. "Pitfalls in estimating the X-factor: The case of energy transmission regulation in Brazil," Socio-Economic Planning Sciences, Elsevier, vol. 65(C), pages 1-9.
    3. Esteve, Miriam & Aparicio, Juan & Rodriguez-Sala, Jesus J. & Zhu, Joe, 2023. "Random Forests and the measurement of super-efficiency in the context of Free Disposal Hull," European Journal of Operational Research, Elsevier, vol. 304(2), pages 729-744.
    4. Bogetoft, Peter & Eskesen, Anita, 2022. "Balancing information rents and service differentiation in utility regulation," Energy Economics, Elsevier, vol. 106(C).
    5. Emil Heesche & Peter Bogetoft, 2021. "Incentives in regulatory DEA models with discretionary outputs: The case of Danish water regulation," IFRO Working Paper 2021/04, University of Copenhagen, Department of Food and Resource Economics.
    6. Benítez-Peña, Sandra & Bogetoft, Peter & Romero Morales, Dolores, 2020. "Feature Selection in Data Envelopment Analysis: A Mathematical Optimization approach," Omega, Elsevier, vol. 96(C).
    7. Tobias Rösch & Peter Treffinger, 2019. "Cluster Analysis of Distribution Grids in Baden-Württemberg," Energies, MDPI, vol. 12(20), pages 1-25, October.
    8. Edens, Marga G. & Lavrijssen, Saskia A.C.M., 2019. "Balancing public values during the energy transition – How can German and Dutch DSOs safeguard sustainability?," Energy Policy, Elsevier, vol. 128(C), pages 57-65.
    9. Heesche, Emil & Asmild, Mette, 2022. "Controlling for environmental conditions in regulatory benchmarking," Utilities Policy, Elsevier, vol. 77(C).
    10. Emil Heesche & Mette Asmild, 2022. "Implications of Aggregation Uncertainty in DEA," IFRO Working Paper 2022/02, University of Copenhagen, Department of Food and Resource Economics.
    11. Robin C. Sickles & Wonho Song & Valentin Zelenyuk, 2018. "Econometric Analysis of Productivity: Theory and Implementation in R," CEPA Working Papers Series WP082018, School of Economics, University of Queensland, Australia.
    12. Hongzhou Li & Andrea Appolloni & Yijie Dou & Vincenzo Basile & Maria Kopsakangas-Savolainen, 2024. "A parametric method to estimate environmental energy efficiency with non-radial adjustment: an application to China," Annals of Operations Research, Springer, vol. 342(3), pages 1379-1405, November.
    13. Binlei Gong & Robin C. Sickles, 2020. "Non-structural and structural models in productivity analysis: study of the British Isles during the 2007–2009 financial crisis," Journal of Productivity Analysis, Springer, vol. 53(2), pages 243-263, April.
    14. Mahlberg, Bernhard & Frank-Stocker, Andrea & Koller, Wolfgang & Ramerstorfer, Christian, 2023. "Cost efficiency of renewable district heating systems: the case of Austria," MPRA Paper 118595, University Library of Munich, Germany.
    15. Waidelich, Paul & Haug, Tomas & Wieshammer, Lorenz, 2022. "German efficiency gone wrong: Unintended incentives arising from the gas TSOs’ benchmarking," Energy Policy, Elsevier, vol. 160(C).
    16. Emil Heesche & Mette Asmild, 2020. "Controlling for environmental conditions in regulatory benchmarking," IFRO Working Paper 2020/03, University of Copenhagen, Department of Food and Resource Economics.
    17. An, Qingxian & Tao, Xiangyang & Xiong, Beibei, 2021. "Benchmarking with data envelopment analysis: An agency perspective," Omega, Elsevier, vol. 101(C).
    18. Costa, Marcelo Azevedo & Lopes-Ahn, Ana Lúcia & Kilger, Alexander de Carvalho & Micas, Artur Fontenelle, 2023. "Limitations of weight restrictions in data envelopment analysis for benchmarking Brazilian electricity distribution system operators," Utilities Policy, Elsevier, vol. 82(C).
    19. Afsharian, Mohsen & Ahn, Heinz & Harms, Sören Guntram, 2021. "A review of DEA approaches applying a common set of weights: The perspective of centralized management," European Journal of Operational Research, Elsevier, vol. 294(1), pages 3-15.
    20. Stronzik, Marcus & Wissner, Matthias, 2019. "Entwicklung des Effizienzvergleichs in Richtung Smart Grids," WIK Discussion Papers 447, WIK Wissenschaftliches Institut für Infrastruktur und Kommunikationsdienste GmbH.
    21. Afsharian, Mohsen & Bogetoft, Peter, 2020. "Identifying production units with outstanding performance," European Journal of Operational Research, Elsevier, vol. 287(3), pages 1191-1194.
    22. An, Qingxian & Tao, Xiangyang & Chen, Xiaohong, 2023. "Nested frontier-based best practice regulation under asymmetric information in a principal–agent framework," European Journal of Operational Research, Elsevier, vol. 306(1), pages 269-285.
    23. Julio Cesar Mosquera Gutierres & Rafael Coradi Leme & Rodrigo Luiz Mendes Mota & Paulo E. Steele Santos, 2021. "Regulatory efficiency decomposition for utilities’ parallel subsystems," Operational Research, Springer, vol. 21(1), pages 331-347, March.
    24. Stead, Alexander D. & Wheat, Phill & Greene, William H., 2023. "Robust maximum likelihood estimation of stochastic frontier models," European Journal of Operational Research, Elsevier, vol. 309(1), pages 188-201.
    25. de Souza Pereira, Mariana & Magalhães Filho, Fernando Jorge Corrêa & de Morais Lima, Priscila & Tabak, Benjamin Miranda & Constantino, Michel, 2022. "Sanitation and water services: Who is the most efficient provider public or private? Evidences for Brazil," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    26. Duras, Toni & Javed, Farrukh & Månsson, Kristofer & Sjölander, Pär & Söderberg, Magnus, 2023. "Using machine learning to select variables in data envelopment analysis: Simulations and application using electricity distribution data," Energy Economics, Elsevier, vol. 120(C).
    27. Rita, Rui & Marques, Vitor & Bárbara, Diogo & Chaves, Inês & Macedo, Pedro & Moutinho, Victor & Pereira, Mariana, 2023. "Crossing non-parametric and parametric techniques for measuring the efficiency: Evidence from 65 European electricity Distribution System Operators," Energy, Elsevier, vol. 283(C).

  10. Per J. Agrell & Johan Lundin & Andreas Norrman, 2017. "Supply chain management: Horizontal carrier coordination through cooperative governance structures," LIDAM Reprints CORE 2931, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Nassim Mrabti & Nadia Hamani & Laurent Delahoche, 2022. "A Comprehensive Literature Review on Sustainable Horizontal Collaboration," Sustainability, MDPI, vol. 14(18), pages 1-38, September.
    2. Mutlu, Fatih & Çetinkaya, Sıla, 2020. "Supplier–carrier–buyer channels: Contractual pricing for a carrier serving a supplier–buyer partnership," International Journal of Production Economics, Elsevier, vol. 230(C).
    3. Yucai Wu & Jiguang Wang & Changhong Li & Kan Su, 2018. "Optimal Supply Chain Structural Choice under Horizontal Chain-to-Chain Competition," Sustainability, MDPI, vol. 10(5), pages 1-16, April.
    4. Cleophas, Catherine & Cottrill, Caitlin & Ehmke, Jan Fabian & Tierney, Kevin, 2019. "Collaborative urban transportation: Recent advances in theory and practice," European Journal of Operational Research, Elsevier, vol. 273(3), pages 801-816.

  11. Per J. AGRELL & Peter BOGETOFT, 2016. "Endogenous common weights as a collusive instrument in frontier-based regulation," LIDAM Reprints CORE 2818, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Afsharian, Mohsen & Bogetoft, Peter, 2023. "Limiting flexibility in nonparametric efficiency evaluations: An ex post k-centroid clustering approach," European Journal of Operational Research, Elsevier, vol. 311(2), pages 633-647.
    2. Mohsen Afsharian, 2020. "A metafrontier-based yardstick competition mechanism for incentivising units in centrally managed multi-group organisations," Annals of Operations Research, Springer, vol. 288(2), pages 681-700, May.
    3. Mahlberg, Bernhard & Frank-Stocker, Andrea & Koller, Wolfgang & Ramerstorfer, Christian, 2023. "Cost efficiency of renewable district heating systems: the case of Austria," MPRA Paper 118595, University Library of Munich, Germany.
    4. Núñez, F. & Arcos-Vargas, A. & Villa, G., 2020. "Efficiency benchmarking and remuneration of Spanish electricity distribution companies," Utilities Policy, Elsevier, vol. 67(C).
    5. Janis Edmunds Daugavietis & Raimonda Soloha & Elina Dace & Jelena Ziemele, 2022. "A Comparison of Multi-Criteria Decision Analysis Methods for Sustainability Assessment of District Heating Systems," Energies, MDPI, vol. 15(7), pages 1-23, March.

  12. AGRELL, Per J. & GRIFELL-TATJÉ, Emili, 2016. "A Dynamic Model for Firm-Response to Non-Credible Incentive Regulation Regimes," LIDAM Reprints CORE 2724, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Agrell, Per J. & Brea-Solís, Humberto, 2017. "Capturing heterogeneity in electricity distribution operations: A critical review of latent class modelling," Energy Policy, Elsevier, vol. 104(C), pages 361-372.
    2. TEUSCH, Jonas, 2016. "Merger Incentives Under Yardstick Competition : a Theoretical Model," LIDAM Discussion Papers CORE 2016037, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Matschoss, Patrick & Bayer, Benjamin & Thomas, Heiko & Marian, Adela, 2019. "The German incentive regulation and its practical impact on the grid integration of renewable energy systems," Renewable Energy, Elsevier, vol. 134(C), pages 727-738.

  13. AGRELL, Per J. & TEUSCH, Jonas, 2015. "Making the Belgian Distribution System Fit for the Energy Transition," LIDAM Reprints CORE 2725, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Söderberg, Magnus & Vesterberg, Mattias, 2023. "How demand uncertainty influences electricity network prices under revenue-cap regulation: The case of Sweden," Energy Economics, Elsevier, vol. 127(PB).
    2. Axel Gautier & Julien Jacqmin, 2019. "Une nouvelle tarification des réseaux pour favoriser la transition énergétique," Regards économiques 145, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    3. Agrell, Per J. & Grifell-Tatjé, Emili, 2016. "A dynamic model for firm-response to non-credible incentive regulation regimes," Energy Policy, Elsevier, vol. 90(C), pages 287-299.
    4. Jonas Teusch, 2019. "When Efficient Firms Flock Together: Merger Incentives Under Yardstick Competition," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 55(2), pages 237-255, September.
    5. TEUSCH, Jonas, 2016. "Merger Incentives Under Yardstick Competition : a Theoretical Model," LIDAM Discussion Papers CORE 2016037, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

  14. BRUSSET, Xavier & AGRELL, Per J, 2015. "Dynamic supply chain coordination games with repeated bargaining," LIDAM Reprints CORE 2643, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Ghoudi, Kilani & Hamdouch, Younes & Boulaksil, Youssef & Hamdan, Sadeque, 2024. "Supply chain coordination in a dual sourcing system under the Tailored Base-Surge policy," European Journal of Operational Research, Elsevier, vol. 317(2), pages 533-549.
    2. Sahani Rathnasiri & Pritee Ray & Carlos A. Vega-Mejía & Sardar M. N. Islam & Nripendra P. Rana & Yogesh K. Dwivedi, 2022. "Optimising small-scale electronic commerce supply chain operations: a dynamic cost-sharing contract approach," Annals of Operations Research, Springer, vol. 318(1), pages 453-499, November.

  15. Agrell, P & Brea-Solís, H., 2015. "Stationarity of Heterogeneity in Production Technology using Latent Class Modelling," LIDAM Discussion Papers CORE 2015047, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Lajos Baráth & Imre Fertő & Heinrich Hockmann, 2020. "Technological Differences, Theoretical Consistency, and Technical Efficiency: The Case of Hungarian Crop-Producing Farms," Sustainability, MDPI, vol. 12(3), pages 1-18, February.
    2. Agrell, Per J. & Brea-Solís, Humberto, 2017. "Capturing heterogeneity in electricity distribution operations: A critical review of latent class modelling," Energy Policy, Elsevier, vol. 104(C), pages 361-372.

  16. HATAMI-MARBINI, Adel & ROSTAMY-MALKHALIFEH, Mohsen & AGRELL, Per J. & TAVANA , Madjid & MOHAMMADI, Fatemeh, 2015. "Extended Symmetric and Asymmetric Weight Assignment Methods in Data Envelopment Analysis," LIDAM Reprints CORE 2693, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Goker, Nazli & Karsak, E.Ertugrul, 2021. "Two-stage common weight DEA-Based approach for performance evaluation with imprecise data," Socio-Economic Planning Sciences, Elsevier, vol. 74(C).
    2. Janis Edmunds Daugavietis & Raimonda Soloha & Elina Dace & Jelena Ziemele, 2022. "A Comparison of Multi-Criteria Decision Analysis Methods for Sustainability Assessment of District Heating Systems," Energies, MDPI, vol. 15(7), pages 1-23, March.
    3. Dariush Akbarian, 2020. "Avoiding dissimilarity between the weights of the optimal DEA solutions," OPSEARCH, Springer;Operational Research Society of India, vol. 57(2), pages 364-375, June.

  17. HATAMI-MARBINI, Adel & TAVANA, Madjid & AGRELL, Per J & HOSSEINZADEH LOTFI, Farhad, 2015. "A common-weights DEA model for centralized resource reduction and target setting," LIDAM Reprints CORE 2642, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Gupta, Anshu & Pachar, Nomita & Jain, Akansha & Govindan, Kannan & Jha, P.C., 2023. "Resource reallocation strategies for sustainable efficiency improvement of retail chains," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    2. Bo Hsiao & LihChyun Shu & Ming-Miin Yu & Li-Kang Shen & Ding-Jiun Wang, 2017. "Performance evaluation of the Taiwan railway administration," Annals of Operations Research, Springer, vol. 259(1), pages 119-156, December.
    3. Zhang, Chonghui & Wang, Zhen & Su, Weihua & Dalia, Streimikiene, 2024. "Differentiated power rationing or seasonal power price? Optimal power allocation solution for Chinese industrial enterprises based on the CSW-DEA model," Applied Energy, Elsevier, vol. 353(PB).
    4. Feng Li & Qingyuan Zhu & Liang Liang, 2019. "A new data envelopment analysis based approach for fixed cost allocation," Annals of Operations Research, Springer, vol. 274(1), pages 347-372, March.
    5. Yu, Ming-Miin & Rakshit, Ipsita, 2024. "How to establish input and output targets for airlines with heterogeneous production technologies: A nash bargaining DEA approach within the meta-frontier framework," Journal of Air Transport Management, Elsevier, vol. 116(C).
    6. Yu, Ming-Miin & Rakshit, Ipsita, 2023. "Target setting for airlines incorporating CO2 emissions: The DEA bargaining approach," Journal of Air Transport Management, Elsevier, vol. 108(C).
    7. Junfei Chu & Jie Wu & Qingyuan Zhu & Qingxian An & Beibei Xiong, 2019. "Analysis of China’s Regional Eco-efficiency: A DEA Two-stage Network Approach with Equitable Efficiency Decomposition," Computational Economics, Springer;Society for Computational Economics, vol. 54(4), pages 1263-1285, December.

  18. SHOKOUHI, Amir H. & SHAHIRIARI, Hamid & AGRELL, Per J. & HATAMI-MARBINI, Adel, 2014. "Consistent and robust ranking in imprecise data envelopment analysis under perturbations of random subsets of data," LIDAM Reprints CORE 2556, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Arabmaldar, A. & Sahoo, B.K. & Ghiyasi, M., 2023. "A generalized robust data envelopment analysis model based on directional distance function," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 138962, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    2. Arabmaldar, Aliasghar & Hatami-Marbini, Adel & Loske, Dominic & Hammerschmidt, Maik & Klumpp, Matthias, 2024. "Robust data envelopment analysis with variable budgeted uncertainty," European Journal of Operational Research, Elsevier, vol. 315(2), pages 626-641.
    3. Pejman Peykani & Jafar Gheidar-Kheljani & Reza Farzipoor Saen & Emran Mohammadi, 2022. "Generalized robust window data envelopment analysis approach for dynamic performance measurement under uncertain panel data," Operational Research, Springer, vol. 22(5), pages 5529-5567, November.
    4. Li, Jiang & Wu, Hecheng & Zhu, Chen & Goh, Mark, 2024. "Evaluating and analyzing renewable energy performance in OECD countries under uncertainty: A robust DEA approach with common weights," Applied Energy, Elsevier, vol. 375(C).
    5. 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.
    6. Dariush Akbarian, 2020. "Overall profit Malmquist productivity index under data uncertainty," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-20, December.
    7. Mehdi Toloo & Esmaeil Keshavarz & Adel Hatami-Marbini, 2021. "An interval efficiency analysis with dual-role factors," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 43(1), pages 255-287, March.
    8. Adel Hatami-Marbini & Zahra Ghelej Beigi & Jens Leth Hougaard & Kobra Gholami, 2014. "Estimating Returns to Scale in Imprecise Data Envelopment Analysis," MSAP Working Paper Series 07_2014, University of Copenhagen, Department of Food and Resource Economics.

  19. HATAMI-MARBINI, Adel & EMROUZNEJAD, Ali & AGRELL, Per J., 2014. "Interval data without sign restrictions in DEA," LIDAM Reprints CORE 2565, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Sweksha Srivastava & Abha Aggarwal & Pooja Bansal, 2024. "Efficiency Evaluation of Assets and Optimal Portfolio Generation by Cross Efficiency and Cumulative Prospect Theory," Computational Economics, Springer;Society for Computational Economics, vol. 63(1), pages 129-158, January.
    2. 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.
    3. Toloo, Mehdi & Tone, Kaoru & Izadikhah, Mohammad, 2023. "Selecting slacks-based data envelopment analysis models," European Journal of Operational Research, Elsevier, vol. 308(3), pages 1302-1318.

  20. AGRELL, Per J. & NIKNAZAR, Pooria, 2014. "Structural and behavioral robustness in applied best practice regulation," LIDAM Reprints CORE 2557, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    2. Tavana, Madjid & Ebrahimnejad, Ali & Santos-Arteaga, Francisco J. & Mansourzadeh, Seyed Mehdi & Matin, Reza Kazemi, 2018. "A hybrid DEA-MOLP model for public school assessment and closure decision in the City of Philadelphia," Socio-Economic Planning Sciences, Elsevier, vol. 61(C), pages 70-89.
    3. Adel HATAMI-MARBINI & Per J. AGRELL & Hirofumi FUKUYAMA & Kobra GHOLAMI & Pegah KHOSHNEVIS, 2017. "The role of multiplier bounds in fuzzy data envelopment analysis," LIDAM Reprints CORE 2879, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    4. Saastamoinen, Antti & Bjørndal, Endre & Bjørndal, Mette, 2017. "Specification of merger gains in the Norwegian electricity distribution industry," Energy Policy, Elsevier, vol. 102(C), pages 96-107.
    5. Pontus Mattsson & Jonas Månsson & Christian Andersson & Fredrik Bonander, 2018. "A bootstrapped Malmquist index applied to Swedish district courts," European Journal of Law and Economics, Springer, vol. 46(1), pages 109-139, August.
    6. Mattsson, Pontus & Tidanå, Claes, 2019. "Potential efficiency effects of merging the Swedish district courts," Socio-Economic Planning Sciences, Elsevier, vol. 67(C), pages 58-68.
    7. Agrell, Per J. & Brea-Solís, Humberto, 2017. "Capturing heterogeneity in electricity distribution operations: A critical review of latent class modelling," Energy Policy, Elsevier, vol. 104(C), pages 361-372.
    8. Waidelich, Paul & Haug, Tomas & Wieshammer, Lorenz, 2022. "German efficiency gone wrong: Unintended incentives arising from the gas TSOs’ benchmarking," Energy Policy, Elsevier, vol. 160(C).
    9. Agrell, P & Brea-Solís, H., 2015. "Stationarity of Heterogeneity in Production Technology using Latent Class Modelling," LIDAM Discussion Papers CORE 2015047, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

  21. HOSSEINZADEH LOTFI, Farhad & HATAMI-MARBINI, Adel & AGRELL, Per & GHOLAMI, Kobra, 2013. "Centralized resource reduction and target setting under DEA control," LIDAM Discussion Papers CORE 2013005, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Adel Hatami-Marbini & Zahra Ghelej Beigi & Hirofumi Fukuyama & Kobra Gholami, 2015. "Modeling Centralized Resources Allocation and Target Setting in Imprecise Data Envelopment Analysis," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 14(06), pages 1189-1213, November.
    2. Bo Hsiao & LihChyun Shu & Ming-Miin Yu & Li-Kang Shen & Ding-Jiun Wang, 2017. "Performance evaluation of the Taiwan railway administration," Annals of Operations Research, Springer, vol. 259(1), pages 119-156, December.
    3. Feng Li & Qingyuan Zhu & Liang Liang, 2019. "A new data envelopment analysis based approach for fixed cost allocation," Annals of Operations Research, Springer, vol. 274(1), pages 347-372, March.

  22. TAVANA, Madjid & SHIRAZ, Rashed Khanjani & HATAMI-MARBINI, Adel & AGRELL, Per J., 2013. "Chance-constrained DEA models with random fuzzy inputs and outputs," LIDAM Reprints CORE 2531, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Bolós, V.J. & Benítez, R. & Coll-Serrano, V., 2024. "Chance constrained directional models in stochastic data envelopment analysis," Operations Research Perspectives, Elsevier, vol. 12(C).

  23. HATAMI-MARBINI, Adel & TAVANA, Madjid & SAATI, Saber & AGRELL, Per J., 2013. "Allocating fixed resources and setting targets using a common-weights DEA approach," LIDAM Reprints CORE 2474, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Adel Hatami-Marbini & Zahra Ghelej Beigi & Hirofumi Fukuyama & Kobra Gholami, 2015. "Modeling Centralized Resources Allocation and Target Setting in Imprecise Data Envelopment Analysis," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 14(06), pages 1189-1213, November.
    2. Sebastián Lozano & Narges Soltani & Akram Dehnokhalaji, 2020. "A compromise programming approach for target setting in DEA," Annals of Operations Research, Springer, vol. 288(1), pages 363-390, May.
    3. Gholam Reza Jahanshahloo & Jafar Sadeghi & Mohammad Khodabakhshi, 2017. "Proposing a method for fixed cost allocation using DEA based on the efficiency invariance and common set of weights principles," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 85(2), pages 223-240, April.
    4. Du, Juan & Cook, Wade D. & Liang, Liang & Zhu, Joe, 2014. "Fixed cost and resource allocation based on DEA cross-efficiency," European Journal of Operational Research, Elsevier, vol. 235(1), pages 206-214.
    5. Gupta, Anshu & Pachar, Nomita & Jain, Akansha & Govindan, Kannan & Jha, P.C., 2023. "Resource reallocation strategies for sustainable efficiency improvement of retail chains," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    6. Dai, Qianzhi & Li, Yongjun & Lei, Xiyang & Wu, Dengsheng, 2021. "A DEA-based incentive approach for allocating common revenues or fixed costs," European Journal of Operational Research, Elsevier, vol. 292(2), pages 675-686.
    7. Kiani Mavi, Reza & Saen, Reza Farzipoor & Goh, Mark, 2019. "Joint analysis of eco-efficiency and eco-innovation with common weights in two-stage network DEA: A big data approach," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 553-562.
    8. Hamid Kiaei & Reza Kazemi Matin, 2022. "New common set of weights method in black-box and two-stage data envelopment analysis," Annals of Operations Research, Springer, vol. 309(1), pages 143-162, February.
    9. Ghazi, Amineh & Hosseinzadeh Lotfi, Farhad, 2019. "Assessment and budget allocation of Iranian natural gas distribution company- A CSW DEA based model," Socio-Economic Planning Sciences, Elsevier, vol. 66(C), pages 112-118.
    10. Yang, Mian & Hou, Yaru & Fang, Chao & Duan, Hongbo, 2020. "Constructing energy-consuming right trading system for China's manufacturing industry in 2025," Energy Policy, Elsevier, vol. 144(C).
    11. Ruiyue Lin & Zhiping Chen & Zongxin Li, 2016. "An equitable DEA-based approach for assigning fixed resources along with targets," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(11), pages 1373-1381, November.
    12. Tao Ding & Ya Chen & Huaqing Wu & Yuqi Wei, 2018. "Centralized fixed cost and resource allocation considering technology heterogeneity: a DEA approach," Annals of Operations Research, Springer, vol. 268(1), pages 497-511, September.
    13. I. Contreras & S. Lozano & M. A. Hinojosa, 2021. "A bargaining approach to determine common weights in DEA," Operational Research, Springer, vol. 21(3), pages 2181-2201, September.
    14. Jie Wu & Junfei Chu & Qingyuan Zhu & Yongjun Li & Liang Liang, 2016. "Determining common weights in data envelopment analysis based on the satisfaction degree," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(12), pages 1446-1458, December.
    15. Feng Li & Qingyuan Zhu & Liang Liang, 2019. "A new data envelopment analysis based approach for fixed cost allocation," Annals of Operations Research, Springer, vol. 274(1), pages 347-372, March.
    16. Li, Yongjun & Lin, Lin & Dai, Qianzhi & Zhang, Linda, 2020. "Allocating common costs of multinational companies based on arm's length principle and Nash non-cooperative game," European Journal of Operational Research, Elsevier, vol. 283(3), pages 1002-1010.
    17. Chao, Shih-Liang & Yu, Ming-Miin, 2022. "Applying data envelopment analysis to allocate incentive bonuses for container terminal operators," Transport Policy, Elsevier, vol. 125(C), pages 231-240.
    18. Mehdi Soltanifar & Farhad Hosseinzadeh Lotfi & Hamid Sharafi & Sebastián Lozano, 2022. "Resource allocation and target setting: a CSW–DEA based approach," Annals of Operations Research, Springer, vol. 318(1), pages 557-589, November.
    19. Li, Feng & Zhu, Qingyuan & Chen, Zhi, 2019. "Allocating a fixed cost across the decision making units with two-stage network structures," Omega, Elsevier, vol. 83(C), pages 139-154.
    20. Ma, Gang & Li, Xu & Zheng, Jianping, 2020. "Efficiency and equity in regional coal de-capacity allocation in China: A multiple objective programming model based on Gini coefficient and Data Envelopment Analysis," Resources Policy, Elsevier, vol. 66(C).
    21. Wang, Juan & Li, Ziming & Wang, Yanan, 2024. "How does China's energy-consumption trading policy affect the carbon abatement costs? An analysis based on spatial difference-in-differences method," Energy, Elsevier, vol. 294(C).
    22. Yu, Ming-Miin & Chen, Li-Hsueh & Hsiao, Bo, 2018. "A performance-based subsidy allocation of ferry transportation: A data envelopment approach," Transport Policy, Elsevier, vol. 68(C), pages 13-19.
    23. Hamid Sharafi & Farhad Hosseinzadeh Lotfi & Gholam Reza Jahanshahloo & Somayeh Razipour-GhalehJough, 2020. "Fair Allocation Fixed Cost Using Cross-Efficiency Based on Pareto Concept," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 37(01), pages 1-23, January.

  24. HATAMI-MARBINI, Adel & TAVANA, Madjid & SAATI, Saber & AGRELL, Per J., 2013. "Positive and normative use of fuzzy DEA-BCC models: a critical view on NATO enlargement," LIDAM Reprints CORE 2475, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Adel Hatami-Marbini & Zahra Ghelej Beigi & Hirofumi Fukuyama & Kobra Gholami, 2015. "Modeling Centralized Resources Allocation and Target Setting in Imprecise Data Envelopment Analysis," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 14(06), pages 1189-1213, November.
    2. Adel HATAMI-MARBINI & Per J. AGRELL & Hirofumi FUKUYAMA & Kobra GHOLAMI & Pegah KHOSHNEVIS, 2017. "The role of multiplier bounds in fuzzy data envelopment analysis," LIDAM Reprints CORE 2879, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Loske, Dominic & Klumpp, Matthias, 2021. "Human-AI collaboration in route planning: An empirical efficiency-based analysis in retail logistics," International Journal of Production Economics, Elsevier, vol. 241(C).
    4. Toloo, Mehdi & Keshavarz, Esmaeil & Hatami-Marbini, Adel, 2018. "Dual-role factors for imprecise data envelopment analysis," Omega, Elsevier, vol. 77(C), pages 15-31.
    5. Ali Asghar Foroughi & Roohollah Abbasi Shureshjani, 2017. "Solving generalized fuzzy data envelopment analysis model: a parametric approach," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(4), pages 889-905, December.
    6. Barros, C.P. & Emrouznejad, Ali, 2016. "Assessing productive efficiency of banks using integrated Fuzzy-DEA and bootstrapping: A case of Mozambican banksAuthor-Name: Wanke, Peter," European Journal of Operational Research, Elsevier, vol. 249(1), pages 378-389.

  25. Per J. Agrell & Mehdi Farsi & Massimo Filippini & Martin Koller, 2013. "Unobserved heterogeneous effects in the cost efficiency analysis of electricity distribution systems," Working Papers 0038, Swiss Economics.

    Cited by:

    1. Just, Lisa, 2021. "Unobserved technological heterogeneity among German electricity distribution network operators - a latent class analysis," EWI Working Papers 2021-5, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    2. Li, Hong-Zhou & Kopsakangas-Savolainen, Maria & Yan, Ming-Zhe & Wang, Jian-Lin & Xie, Bai-Chen, 2019. "Which provincial administrative regions in China should reduce their coal consumption? An environmental energy input requirement function based analysis," Energy Policy, Elsevier, vol. 127(C), pages 51-63.
    3. Mirza, Faisal Mehmood & Rizvi, Syed Badar-Ul-Husnain & Bergland, Olvar, 2021. "Service quality, technical efficiency and total factor productivity growth in Pakistan's post-reform electricity distribution companies," Utilities Policy, Elsevier, vol. 68(C).
    4. Llorca, Manuel & Orea, Luis & Pollitt, Michael G., 2014. "Using the latent class approach to cluster firms in benchmarking: An application to the US electricity transmission industry," Operations Research Perspectives, Elsevier, vol. 1(1), pages 6-17.
    5. Li, Hong-Zhou & Kopsakangas-Savolainen, Maria & Xiao, Xing-Zhi & Lau, Sim-Yee, 2017. "Have regulatory reforms improved the efficiency levels of the Japanese electricity distribution sector? A cost metafrontier-based analysis," Energy Policy, Elsevier, vol. 108(C), pages 606-616.
    6. Núñez, F. & Arcos-Vargas, A. & Villa, G., 2020. "Efficiency benchmarking and remuneration of Spanish electricity distribution companies," Utilities Policy, Elsevier, vol. 67(C).
    7. Stefano Mainardi, 2021. "Parametric and Semiparametric Efficiency Frontiers in Fishery Analysis: Overview and Case Study on the Falkland Islands," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(2), pages 169-210, June.
    8. Massimo Filippini & Luis Orea, 2014. "Applications of the stochastic frontier approach in Energy Economics," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 35-42.
    9. Romano, Teresa & Cambini, Carlo & Fumagalli, Elena & Rondi, Laura, 2022. "Setting network tariffs with heterogeneous firms: The case of natural gas distribution," European Journal of Operational Research, Elsevier, vol. 297(1), pages 280-290.
    10. Agrell, P & Brea-Solís, H., 2015. "Stationarity of Heterogeneity in Production Technology using Latent Class Modelling," LIDAM Discussion Papers CORE 2015047, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    11. Ronald G. McGarvey & Andreas Thorsen & Maggie L. Thorsen & Rohith Madhi Reddy, 2019. "Measuring efficiency of community health centers: a multi-model approach considering quality of care and heterogeneous operating environments," Health Care Management Science, Springer, vol. 22(3), pages 489-511, September.
    12. Llorca, Manuel & Orea, Luis & Pollit, Michael G., 2013. "Using in the latent class approach as a supervised method to cluster firms in DEA: An application to the US electricity transmission industry," Efficiency Series Papers 2013/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    13. Haney, Aoife Brophy & Pollitt, Michael G., 2013. "International benchmarking of electricity transmission by regulators: A contrast between theory and practice?," Energy Policy, Elsevier, vol. 62(C), pages 267-281.

  26. AGRELL, Per & BOGETOFT, Peter, 2013. "Benchmarking and regulation," LIDAM Discussion Papers CORE 2013008, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Andor, Mark A. & Parmeter, Christopher & Sommer, Stephan, 2018. "Combining uncertainty with uncertainty to get certainty? Efficiency analysis for regulation purposes," Ruhr Economic Papers 770, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    2. Musau, Andrew & Kumbhakar, Subal C. & Mydland, Ørjan & Lien, Gudbrand, 2021. "Determinants of allocative and technical inefficiency in stochastic frontier models: An analysis of Norwegian electricity distribution firms," European Journal of Operational Research, Elsevier, vol. 288(3), pages 983-991.
    3. Bjørndal, Endre & Bjørndal, Mette & Cullmann, Astrid & Nieswand, Maria, 2016. "Finding the Right Yardstick: Regulation under Heterogeneous Environments," Discussion Papers 2016/4, Norwegian School of Economics, Department of Business and Management Science.
    4. Orea, Luis & Álvarez, Inmaculada C., 2017. "A new stochastic frontier model with cross-sectional effects in both noise and inefficiency terms," Efficiency Series Papers 2017/04, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    5. Maria Nieswand & Stefan Seifert, 2016. "Operational Conditions in Regulatory Benchmarking Models: A Monte Carlo Analysis," Discussion Papers of DIW Berlin 1585, DIW Berlin, German Institute for Economic Research.
    6. Agrell, Per J. & Brea-Solís, Humberto, 2017. "Capturing heterogeneity in electricity distribution operations: A critical review of latent class modelling," Energy Policy, Elsevier, vol. 104(C), pages 361-372.
    7. Bruno, Clementina & Manello, Alessandro, 2015. "Benchmarking and effects of reforms in the fixed telecommunications industry: A DDF approach," Telecommunications Policy, Elsevier, vol. 39(2), pages 127-139.
    8. Nieswand, Maria & Seifert, Stefan, 2018. "Environmental factors in frontier estimation – A Monte Carlo analysis," European Journal of Operational Research, Elsevier, vol. 265(1), pages 133-148.
    9. Gert Brunekreeft, 2012. "On the Role of International Benchmarking of Electricity Transmission System Operators facing significant investment requirements," Bremen Energy Working Papers 0012, Bremen Energy Research.

  27. SAATI, Saber & HATAMI-MARBINI, Adel & TAVANA, Madjid & AGRELL, Per, 2013. "A fuzzy data envelopment analysis for clustering operating units with imprecise data," LIDAM Reprints CORE 2465, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Sakouvogui Kekoura & Shaik Saleem & Addey Kwame Asiam, 2020. "Cluster-Adjusted DEA Efficiency in the presence of Heterogeneity: An Application to Banking Sector," Open Economics, De Gruyter, vol. 3(1), pages 50-69, January.
    2. Adel Hatami-Marbini & Zahra Ghelej Beigi & Hirofumi Fukuyama & Kobra Gholami, 2015. "Modeling Centralized Resources Allocation and Target Setting in Imprecise Data Envelopment Analysis," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 14(06), pages 1189-1213, November.
    3. Aparicio, Juan & Cordero, Jose M. & Ortiz, Lidia, 2019. "Measuring efficiency in education: The influence of imprecision and variability in data on DEA estimates," Socio-Economic Planning Sciences, Elsevier, vol. 68(C).
    4. Nam Hyok Kim & Feng He & Kwon Ryong Hong & Hyok-Chol Kim & Sok-Min Han, 2024. "A new common weights DEA model based on cluster analysis," Operational Research, Springer, vol. 24(2), pages 1-35, June.

  28. TAVANA, Madjid & SHIRAZ, Rashed Khanjani & HATAMI-MARBINI, Adel & AGRELL, Per J., 2012. "Fuzzy stochastic data envelopment analysis with application to base realignment and closure (BRAC)," LIDAM Reprints CORE 2412, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Pejman Peykani & Farhad Hosseinzadeh Lotfi & Seyed Jafar Sadjadi & Ali Ebrahimnejad & Emran Mohammadi, 2022. "Fuzzy chance-constrained data envelopment analysis: a structured literature review, current trends, and future directions," Fuzzy Optimization and Decision Making, Springer, vol. 21(2), pages 197-261, June.
    2. Aparicio, Juan & Cordero, Jose M. & Ortiz, Lidia, 2019. "Measuring efficiency in education: The influence of imprecision and variability in data on DEA estimates," Socio-Economic Planning Sciences, Elsevier, vol. 68(C).
    3. Rashed Khanjani Shiraz & Madjid Tavana & Hirofumi Fukuyama & Debora Di Caprio, 2017. "Fuzzy chance-constrained geometric programming: the possibility, necessity and credibility approaches," Operational Research, Springer, vol. 17(1), pages 67-97, April.
    4. Toloo, Mehdi & Keshavarz, Esmaeil & Hatami-Marbini, Adel, 2018. "Dual-role factors for imprecise data envelopment analysis," Omega, Elsevier, vol. 77(C), pages 15-31.
    5. Yongbo Li & Amir-Reza Abtahi & Mahya Seyedan, 2019. "Supply chain performance evaluation using fuzzy network data envelopment analysis: a case study in automotive industry," Annals of Operations Research, Springer, vol. 275(2), pages 461-484, April.
    6. Hashem Omrani & Arash Alizadeh & Ali Emrouznejad & Tamara Teplova, 2024. "Data envelopment analysis model with decision makers’ preferences: a robust credibility approach," Annals of Operations Research, Springer, vol. 339(3), pages 1269-1306, August.
    7. Rashed Khanjani Shiraz & Adel Hatami-Marbini & Ali Emrouznejad & Hirofumi Fukuyama, 2020. "Chance-constrained cost efficiency in data envelopment analysis model with random inputs and outputs," Operational Research, Springer, vol. 20(3), pages 1863-1898, September.
    8. Ali Ebrahimnejad & Madjid Tavana & Seyed Hadi Nasseri & Omid Gholami, 2019. "A New Method for Solving Dual DEA Problems with Fuzzy Stochastic Data," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 147-170, January.
    9. Adel Hatami-Marbini & Zahra Ghelej Beigi & Jens Leth Hougaard & Kobra Gholami, 2014. "Estimating Returns to Scale in Imprecise Data Envelopment Analysis," MSAP Working Paper Series 07_2014, University of Copenhagen, Department of Food and Resource Economics.

  29. AGRELL, Per J. & GAUTIER, Axel, 2012. "Rethinking regulatory capture," LIDAM Discussion Papers CORE 2012001, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Lindemann, Henrik, 2015. "Does Regulatory Independence Translate into a Higher Degree of Liberalization? - Evidence from EU Energy Regulators," Hannover Economic Papers (HEP) dp-545, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    2. Lindemann, Henrik, 2015. "Regulatory Objectives and the Intensity of Unbundling in Electricity Markets," Hannover Economic Papers (HEP) dp-544, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.

  30. SAATI, Saber & HATAMI-MARBINI, Adel & AGRELL, Per J. & TAVANA, Madjid, 2012. "A common set of weight approach using an ideal decision making unit in data envelopment analysis," LIDAM Reprints CORE 2406, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Jie Wu & Junfei Chu & Qingyuan Zhu & Yongjun Li & Liang Liang, 2016. "Determining common weights in data envelopment analysis based on the satisfaction degree," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(12), pages 1446-1458, December.
    2. Janis Edmunds Daugavietis & Raimonda Soloha & Elina Dace & Jelena Ziemele, 2022. "A Comparison of Multi-Criteria Decision Analysis Methods for Sustainability Assessment of District Heating Systems," Energies, MDPI, vol. 15(7), pages 1-23, March.
    3. HOSSEINZADEH LOTFI, Farhad & HATAMI-MARBINI, Adel & AGRELL, Per & GHOLAMI, Kobra, 2013. "Centralized resource reduction and target setting under DEA control," LIDAM Discussion Papers CORE 2013005, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    4. Shabani, Amir & Visani, Franco & Barbieri, Paolo & Dullaert, Wout & Vigo, Daniele, 2019. "Reliable estimation of suppliers’ total cost of ownership: An imprecise data envelopment analysis model with common weights," Omega, Elsevier, vol. 87(C), pages 57-70.

  31. AGRELL, Per & HATAMI-MARBINI, Adel, 2011. "Frontier-based performance analysis models for supply chain management; state of the art and research directions," LIDAM Discussion Papers CORE 2011069, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Koronakos, Gregory & Sotiros, Dimitris & Despotis, Dimitris K., 2019. "Reformulation of Network Data Envelopment Analysis models using a common modelling framework," European Journal of Operational Research, Elsevier, vol. 278(2), pages 472-480.
    2. Matthias Klumpp & Dominic Loske, 2021. "Sustainability and Resilience Revisited: Impact of Information Technology Disruptions on Empirical Retail Logistics Efficiency," Sustainability, MDPI, vol. 13(10), pages 1-20, May.
    3. Agrell, Per J. & Niknazar, Pooria, 2014. "Structural and behavioral robustness in applied best-practice regulation," Socio-Economic Planning Sciences, Elsevier, vol. 48(1), pages 89-103.
    4. Adel Hatami-Marbini & Saber Saati & Seyed Mojtaba Sajadi, 2018. "Efficiency analysis in two-stage structures using fuzzy data envelopment analysis," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(4), pages 909-932, December.
    5. 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.
    6. Pankaj Dutta & Bharath Jaikumar & Manpreet Singh Arora, 2022. "Applications of data envelopment analysis in supplier selection between 2000 and 2020: a literature review," Annals of Operations Research, Springer, vol. 315(2), pages 1399-1454, August.
    7. Zhou, Lianjie & Hu, Junhui & Liu, Dongshuang & He, Mengwei, 2023. "Studying the role of fiscal policy to utilize natural resources development: Leads to sustainable development goals," Resources Policy, Elsevier, vol. 84(C).
    8. 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.
    9. Hahn, G.J. & Brandenburg, M. & Becker, J., 2021. "Valuing supply chain performance within and across manufacturing industries: A DEA-based approach," International Journal of Production Economics, Elsevier, vol. 240(C).
    10. Harald Dyckhoff, 2019. "Multi-criteria production theory: convexity propositions and reasonable axioms," Journal of Business Economics, Springer, vol. 89(6), pages 719-735, August.

  32. AGRELL, Per & BOGETOFT, Peter, 2011. "Smart-grid investments, regulation and organization," LIDAM Discussion Papers CORE 2011072, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Koliba, Christopher & DeMenno, Mercy & Brune, Nancy & Zia, Asim, 2014. "The salience and complexity of building, regulating, and governing the smart grid: Lessons from a statewide public–private partnership," Energy Policy, Elsevier, vol. 74(C), pages 243-252.
    2. Marius Buchmann, 2019. "How decentralization drives a change of the institutional framework on the distribution grid level in the electricity sector – the case of local congestion markets," Bremen Energy Working Papers 0031, Bremen Energy Research.
    3. Kakran, Sandeep & Chanana, Saurabh, 2018. "Smart operations of smart grids integrated with distributed generation: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 524-535.
    4. Lo Schiavo, Luca & Delfanti, Maurizio & Fumagalli, Elena & Olivieri, Valeria, 2013. "Changing the regulation for regulating the change: Innovation-driven regulatory developments for smart grids, smart metering and e-mobility in Italy," Energy Policy, Elsevier, vol. 57(C), pages 506-517.
    5. Cambini, Carlo & Congiu, Raffaele & Jamasb, Tooraj & Llorca, Manuel & Soroush, Golnoush, 2020. "Energy Systems Integration: Implications for public policy," Energy Policy, Elsevier, vol. 143(C).
    6. Agrell, Per J. & Bogetoft, Peter & Mikkers, Misja, 2013. "Smart-grid investments, regulation and organization," Energy Policy, Elsevier, vol. 52(C), pages 656-666.
    7. Muhammad Shahid Mastoi & Hafiz Mudassir Munir & Shenxian Zhuang & Mannan Hassan & Muhammad Usman & Ahmad Alahmadi & Basem Alamri, 2022. "A Comprehensive Analysis of the Power Demand–Supply Situation, Electricity Usage Patterns, and the Recent Development of Renewable Energy in China," Sustainability, MDPI, vol. 14(6), pages 1-34, March.
    8. de Reuver, Mark & van der Lei, Telli & Lukszo, Zofia, 2016. "How should grid operators govern smart grid innovation projects? An embedded case study approach," Energy Policy, Elsevier, vol. 97(C), pages 628-635.
    9. Hall, Stephen & Foxon, Timothy J., 2014. "Values in the Smart Grid: The co-evolving political economy of smart distribution," Energy Policy, Elsevier, vol. 74(C), pages 600-609.
    10. Backe, Stian & Kara, Güray & Tomasgard, Asgeir, 2020. "Comparing individual and coordinated demand response with dynamic and static power grid tariffs," Energy, Elsevier, vol. 201(C).
    11. Kobos, Peter H. & Malczynski, Leonard A. & Walker, La Tonya N. & Borns, David J. & Klise, Geoffrey T., 2018. "Timing is everything: A technology transition framework for regulatory and market readiness levels," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 211-225.
    12. Ruester, Sophia & Schwenen, Sebastian & Batlle, Carlos & Pérez-Arriaga, Ignacio, 2014. "From distribution networks to smart distribution systems: Rethinking the regulation of European electricity DSOs," Utilities Policy, Elsevier, vol. 31(C), pages 229-237.
    13. Munish Manas, 2015. "Development of preferential regulations, transmission tariffs, and critical technological components for the promotion of smart grid globally," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2015(2), pages 107-130.
    14. Ma, Jinjin & Yang, Lin & Wang, Donghan & Li, Yiming & Xie, Zuomiao & Lv, Haodong & Woo, Donghyup, 2024. "Digitalization in response to carbon neutrality: Mechanisms, effects and prospects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    15. Crispim, João & Braz, José & Castro, Rui & Esteves, Jorge, 2014. "Smart Grids in the EU with smart regulation: Experiences from the UK, Italy and Portugal," Utilities Policy, Elsevier, vol. 31(C), pages 85-93.
    16. Agrell, Per J. & Brea-Solís, Humberto, 2017. "Capturing heterogeneity in electricity distribution operations: A critical review of latent class modelling," Energy Policy, Elsevier, vol. 104(C), pages 361-372.
    17. Martin-Martínez, F. & Sánchez-Miralles, A. & Rivier, M., 2016. "A literature review of Microgrids: A functional layer based classification," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 1133-1153.
    18. Cubi, Eduard & Akbilgic, Oguz & Bergerson, Joule, 2017. "An assessment framework to quantify the interaction between the built environment and the electricity grid," Applied Energy, Elsevier, vol. 206(C), pages 22-31.
    19. Boßmann, Tobias & Eser, Eike Johannes, 2016. "Model-based assessment of demand-response measures—A comprehensive literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1637-1656.
    20. Fadaeenejad, M. & Saberian, A.M. & Fadaee, Mohd. & Radzi, M.A.M. & Hizam, H. & AbKadir, M.Z.A., 2014. "The present and future of smart power grid in developing countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 828-834.
    21. Shaukat, N. & Khan, B. & Ali, S.M. & Mehmood, C.A. & Khan, J. & Farid, U. & Majid, M. & Anwar, S.M. & Jawad, M. & Ullah, Z., 2018. "A survey on electric vehicle transportation within smart grid system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1329-1349.
    22. He, Yongxiu & Xu, Yang & Pang, Yuexia & Tian, Huiying & Wu, Rui, 2016. "A regulatory policy to promote renewable energy consumption in China: Review and future evolutionary path," Renewable Energy, Elsevier, vol. 89(C), pages 695-705.
    23. Cubi, Eduard & Doluweera, Ganesh & Bergerson, Joule, 2015. "Incorporation of electricity GHG emissions intensity variability into building environmental assessment," Applied Energy, Elsevier, vol. 159(C), pages 62-69.
    24. Soares, N. & Martins, A.G. & Carvalho, A.L. & Caldeira, C. & Du, C. & Castanheira, É. & Rodrigues, E. & Oliveira, G. & Pereira, G.I. & Bastos, J. & Ferreira, J.P. & Ribeiro, L.A. & Figueiredo, N.C. & , 2018. "The challenging paradigm of interrelated energy systems towards a more sustainable future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 95(C), pages 171-193.
    25. Ngar-yin Mah, Daphne & Wu, Yun-Ying & Ronald Hills, Peter, 2017. "Explaining the role of incumbent utilities in sustainable energy transitions: A case study of the smart grid development in China," Energy Policy, Elsevier, vol. 109(C), pages 794-806.
    26. Simone Minniti & Niyam Haque & Phuong Nguyen & Guus Pemen, 2018. "Local Markets for Flexibility Trading: Key Stages and Enablers," Energies, MDPI, vol. 11(11), pages 1-21, November.
    27. Norouzi, Farshid & Hoppe, Thomas & Elizondo, Laura Ramirez & Bauer, Pavol, 2022. "A review of socio-technical barriers to Smart Microgrid development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    28. Francesco Pasimeni, 2017. "Adoption and Diffusion of Micro-Grids in Italy. An Analysis of Regional Factors Using Agent-Based Modelling," SPRU Working Paper Series 2017-09, SPRU - Science Policy Research Unit, University of Sussex Business School.
    29. Nolting, Lars & Schuller, Vanessa & Gaumnitz, Felix & Praktiknjo, Aaron, 2019. "Incentivizing timely investments in electrical grids: Analysis of the amendment of the German distribution grid regulation," Energy Policy, Elsevier, vol. 132(C), pages 754-763.
    30. Balta-Ozkan, Nazmiye & Davidson, Rosemary & Bicket, Martha & Whitmarsh, Lorraine, 2013. "The development of smart homes market in the UK," Energy, Elsevier, vol. 60(C), pages 361-372.

  33. AGRELL, Per J. & BOGETOFT, Peter, 2010. "Harmonizing the Nordic regulation of electricity distribution," LIDAM Reprints CORE 2376, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Agrell, Per J. & Bogetoft, Peter & Mikkers, Misja, 2013. "Smart-grid investments, regulation and organization," Energy Policy, Elsevier, vol. 52(C), pages 656-666.
    2. AGRELL, Per & FARSI, Mehdi & FILIPPINI, Massimo & KOLLER, Martin, 2013. "Unobserved heterogeneous effects in the cost efficiency analysis of electricity distribution systems," LIDAM Discussion Papers CORE 2013003, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Kuosmanen, Timo & Nguyen, Tuan, 2020. "Capital bias in the Nordic revenue cap regulation: Averch-Johnson critique revisited," Energy Policy, Elsevier, vol. 139(C).
    4. Munish Manas, 2015. "Development of preferential regulations, transmission tariffs, and critical technological components for the promotion of smart grid globally," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2015(2), pages 107-130.
    5. Agrell, Per J. & Grifell-Tatjé, Emili, 2016. "A dynamic model for firm-response to non-credible incentive regulation regimes," Energy Policy, Elsevier, vol. 90(C), pages 287-299.
    6. Agrell, P & Brea-Solís, H., 2015. "Stationarity of Heterogeneity in Production Technology using Latent Class Modelling," LIDAM Discussion Papers CORE 2015047, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

  34. Per J. Agrell & Peter Bogetoft, 2010. "Network Regulation under Climate Policy Review," RSCAS Working Papers 2010/67, European University Institute.

    Cited by:

    1. Simona Benedettini & Federico Pontoni, "undated". "Electricity distribution investments: no country for old rules? A critical overview of UK and Italian regulations," IEFE Working Papers 50, IEFE, Center for Research on Energy and Environmental Economics and Policy, Universita' Bocconi, Milano, Italy.
    2. Meeus, Leonardo & Saguan, Marcelo, 2011. "Innovating grid regulation to regulate grid innovation: From the Orkney Isles to Kriegers Flak via Italy," Renewable Energy, Elsevier, vol. 36(6), pages 1761-1765.
    3. Haney, Aoife Brophy & Pollitt, Michael G., 2013. "International benchmarking of electricity transmission by regulators: A contrast between theory and practice?," Energy Policy, Elsevier, vol. 62(C), pages 267-281.

  35. AGRELL, Per & KASPERZEC, Roman, 2010. "Dynamic joint investments in supply chains under information asymmetry," LIDAM Discussion Papers CORE 2010085, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Peyman Khezr & Flavio M. Menezes, 2019. "Funding natural monopoly infrastructure expansion: auctions versus regulated uniform access prices," Journal of Regulatory Economics, Springer, vol. 55(2), pages 193-213, April.

  36. AGRELL, Per & GAUTIER, Axel, 2010. "A theory of soft capture," LIDAM Discussion Papers CORE 2010084, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Lindemann, Henrik, 2015. "Does Regulatory Independence Translate into a Higher Degree of Liberalization? - Evidence from EU Energy Regulators," Hannover Economic Papers (HEP) dp-545, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    2. Per J. Agrell & Axel Gautier, 2012. "Rethinking Regulatory Capture," Chapters, in: Joseph E. Harrington Jr & Yannis Katsoulacos (ed.), Recent Advances in the Analysis of Competition Policy and Regulation, chapter 14, Edward Elgar Publishing.
    3. Lindemann, Henrik, 2015. "Regulatory Objectives and the Intensity of Unbundling in Electricity Markets," Hannover Economic Papers (HEP) dp-544, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    4. Lindemann, Henrik, 2015. "Budgetary Interests and the Degree of Unbundling in Electricity Markets - An Empirical Analysis for OECD Countries," Hannover Economic Papers (HEP) dp-543, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    5. Justin Rex, 2020. "Anatomy of agency capture: An organizational typology for diagnosing and remedying capture," Regulation & Governance, John Wiley & Sons, vol. 14(2), pages 271-294, April.
    6. Elise S. Brezis, 2023. "Regulating the Revolving Door of Regulators: Legal vs. Ethical Issues," Economies, MDPI, vol. 12(1), pages 1-13, December.

  37. AGRELL, Per J. & POUYET, Jerome, 2009. "Regulatory competition in network interconnection pricing," LIDAM Reprints CORE 2124, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Francesc Trillas, 2008. "Regulatory federalism in network industries," Working Papers 2008/8, Institut d'Economia de Barcelona (IEB).
    2. M. Ziliotti, 2007. "I prezzi di accesso alle reti di servizi di pubblica utilità: una sintesi teorica," Economics Department Working Papers 2007-EP01, Department of Economics, Parma University (Italy).
    3. Grahn-Voorneveld, Sofia, 2011. "Sharing profit in parallel and serial transport networks," Working papers in Transport Economics 2011:7, CTS - Centre for Transport Studies Stockholm (KTH and VTI).

  38. Agrell, Per J. & Bogetoft, Peter & Halbersma, Rein & Mikkers, Misja C., 2007. "Yardstick competition for multi-product hospitals," Working Papers 01-2007, Copenhagen Business School, Department of Economics.

    Cited by:

    1. G. Kent Fellows & Daniel J. Dutton & Aidan Hollis, 2018. "Making Sure Orphan Drugs Don’t Get Left Behind," SPP Communique, The School of Public Policy, University of Calgary, vol. 10(6), August.
    2. AGRELL, Per & BOGETOFT, Peter, 2013. "Benchmarking and regulation," LIDAM Discussion Papers CORE 2013008, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Mikkers, Misja, 2016. "The Dutch Healthcare System in International Perspective," Other publications TiSEM 800704a0-24ee-4830-8659-2, Tilburg University, School of Economics and Management.

  39. AGRELL, Per J. & BOGETOFT, Peter & TIND, Jorgen, 2005. "DEA and dynamic yardstick competition in Scandinavian electricity distribution," LIDAM Reprints CORE 1837, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Agrell, Per Joakim & Teusch, Jonas, 2020. "Predictability and strategic behavior under frontier regulation," LIDAM Reprints CORE 3094, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    2. Afsharian, Mohsen & Ahn, Heinz & Lopes, Ana & Vilela, Bruno, 2019. "Pitfalls in estimating the X-factor: The case of energy transmission regulation in Brazil," Socio-Economic Planning Sciences, Elsevier, vol. 65(C), pages 1-9.
    3. Costa, Marcelo Azevedo & Lopes, Ana Lúcia Miranda & de Pinho Matos, Giordano Bruno Braz, 2015. "Statistical evaluation of Data Envelopment Analysis versus COLS Cobb–Douglas benchmarking models for the 2011 Brazilian tariff revision," Socio-Economic Planning Sciences, Elsevier, vol. 49(C), pages 47-60.
    4. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    5. Davtalab-Olyaie, Mostafa & Begen, Mehmet A. & Yang, Zijiang & Asgharian, Masoud, 2024. "Incentivization in centrally managed systems: Inconsistencies resolution," Omega, Elsevier, vol. 129(C).
    6. Scalzer, Rodrigo S. & Rodrigues, Adriano & Macedo, Marcelo Álvaro da S. & Wanke, Peter, 2019. "Financial distress in electricity distributors from the perspective of Brazilian regulation," Energy Policy, Elsevier, vol. 125(C), pages 250-259.
    7. Mohsen Afsharian, 2020. "A metafrontier-based yardstick competition mechanism for incentivising units in centrally managed multi-group organisations," Annals of Operations Research, Springer, vol. 288(2), pages 681-700, May.
    8. Agrell, Per J. & Bogetoft, Peter & Mikkers, Misja, 2013. "Smart-grid investments, regulation and organization," Energy Policy, Elsevier, vol. 52(C), pages 656-666.
    9. Stronzik, Marcus, 2013. "Investitions- und Innovationsanreize: Ein Vergleich zwischen Revenue Cap und Yardstick Competition," WIK Discussion Papers 379, WIK Wissenschaftliches Institut für Infrastruktur und Kommunikationsdienste GmbH.
    10. Agrell, Per J. & Niknazar, Pooria, 2014. "Structural and behavioral robustness in applied best-practice regulation," Socio-Economic Planning Sciences, Elsevier, vol. 48(1), pages 89-103.
    11. Afsharian, Mohsen & Ahn, Heinz & Thanassoulis, Emmanuel, 2017. "A DEA-based incentives system for centrally managed multi-unit organisations," European Journal of Operational Research, Elsevier, vol. 259(2), pages 587-598.
    12. R. Cunha Marques & Kristof De Witte, 2010. "Towards a benchmarking paradigm in European water utilities," Public Money & Management, Taylor & Francis Journals, vol. 30(1), pages 42-48, January.
    13. Martin Bod′a & Emília Zimková, 2018. "Iso-analysis for knowing the sources of technical efficiency and performance," Operational Research, Springer, vol. 18(2), pages 421-449, July.
    14. Blázquez-Gómez, Leticia & Grifell-Tatjé, Emili, 2011. "Evaluating the regulator: Winners and losers in the regulation of Spanish electricity distribution," Energy Economics, Elsevier, vol. 33(5), pages 807-815, September.
    15. Michael Hellwig & Dominik Schober & Luis Cabral, 2018. "Incentive Regulation: Evidence From German Electricity Networks," Working Papers 18-03, New York University, Leonard N. Stern School of Business, Department of Economics.
    16. Heesche, Emil & Asmild, Mette, 2022. "Incorporating quality in economic regulatory benchmarking," Omega, Elsevier, vol. 110(C).
    17. AGRELL, Per & BOGETOFT, Peter, 2013. "Benchmarking and regulation," LIDAM Discussion Papers CORE 2013008, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    18. Huang, Yi-Ju & Chen, Ku-Hsieh & Yang, Chih-Hai, 2010. "Cost efficiency and optimal scale of electricity distribution firms in Taiwan: An application of metafrontier analysis," Energy Economics, Elsevier, vol. 32(1), pages 15-23, January.
    19. Emil Heesche & Peter Bogetoft, 2021. "Incentives in regulatory DEA models with discretionary outputs: The case of Danish water regulation," IFRO Working Paper 2021/04, University of Copenhagen, Department of Food and Resource Economics.
    20. Saastamoinen, Antti & Bjørndal, Endre & Bjørndal, Mette, 2017. "Specification of merger gains in the Norwegian electricity distribution industry," Energy Policy, Elsevier, vol. 102(C), pages 96-107.
    21. Afsharian, Mohsen & Ahn, Heinz & Thanassoulis, Emmanuel, 2019. "A frontier-based system of incentives for units in organisations with varying degrees of decentralisation," European Journal of Operational Research, Elsevier, vol. 275(1), pages 224-237.
    22. Kuosmanen, Timo & Nguyen, Tuan, 2020. "Capital bias in the Nordic revenue cap regulation: Averch-Johnson critique revisited," Energy Policy, Elsevier, vol. 139(C).
    23. Cheng, Xiaomei & Bjørndal, Endre & Bjørndal, Mette, 2014. "Cost Efficiency Analysis based on The DEA and StoNED Models: Case of Norwegian Electricity Distribution Companies," Discussion Papers 2014/28, Norwegian School of Economics, Department of Business and Management Science.
    24. Astrid Cullmann & Jürgen Apfelbeck & Christian von Hirschhausen, 2006. "Efficiency Analysis of East European Electricity Distribution in Transition: Legacy of the Past?," Discussion Papers of DIW Berlin 553, DIW Berlin, German Institute for Economic Research.
    25. Vesterberg, Mattias & Zhou, Wenchao & Lundgren, Tommy, 2021. "Wind of change: Small-scale electricity production and distribution-grid efficiency in Sweden," Utilities Policy, Elsevier, vol. 69(C).
    26. Munish Manas, 2015. "Development of preferential regulations, transmission tariffs, and critical technological components for the promotion of smart grid globally," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2015(2), pages 107-130.
    27. Agrell, Per J. & Brea-Solís, Humberto, 2017. "Capturing heterogeneity in electricity distribution operations: A critical review of latent class modelling," Energy Policy, Elsevier, vol. 104(C), pages 361-372.
    28. Pombo, Carlos & Taborda, Rodrigo, 2006. "Performance and efficiency in Colombia's power distribution system: Effects of the 1994 reform," Energy Economics, Elsevier, vol. 28(3), pages 339-369, May.
    29. Subal C. Kumbhakar & Gudbrand Lien, 2017. "Yardstick Regulation of Electricity Distribution Disentangling Short-run and Long-run Inefficiencies," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5).
    30. Waidelich, Paul & Haug, Tomas & Wieshammer, Lorenz, 2022. "German efficiency gone wrong: Unintended incentives arising from the gas TSOs’ benchmarking," Energy Policy, Elsevier, vol. 160(C).
    31. S P Santos & C A F Amado & J R Rosado, 2011. "Formative evaluation of electricity distribution utilities using data envelopment analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(7), pages 1298-1319, July.
    32. Hellwig, Michael & Schober, Dominik & Cabral, Luís, 2020. "Low-powered vs high-powered incentives: Evidence from German electricity networks," International Journal of Industrial Organization, Elsevier, vol. 73(C).
    33. An, Qingxian & Tao, Xiangyang & Xiong, Beibei, 2021. "Benchmarking with data envelopment analysis: An agency perspective," Omega, Elsevier, vol. 101(C).
    34. Agrell, Per J. & Grifell-Tatjé, Emili, 2016. "A dynamic model for firm-response to non-credible incentive regulation regimes," Energy Policy, Elsevier, vol. 90(C), pages 287-299.
    35. Jens Leth Hougaard & Kurt Nielsen & Athanasios Papakonstantinou, 2016. "A Sealed-Bid Two-Attribute Yardstick Auction Without Prior Scoring," Group Decision and Negotiation, Springer, vol. 25(4), pages 827-843, July.
    36. Gidion, Dickson K. & Hong, Jin & Adams, Magdalene Z.A. & Khoveyni, Mohammad, 2019. "Network DEA models for assessing urban water utility efficiency," Utilities Policy, Elsevier, vol. 57(C), pages 48-58.
    37. Varmaz, Armin & Varwig, Andreas & Poddig, Thorsten, 2013. "Centralized resource planning and Yardstick competition," Omega, Elsevier, vol. 41(1), pages 112-118.
    38. Bogetoft, Peter & Nielsen, Kurt, 2008. "DEA based auctions," European Journal of Operational Research, Elsevier, vol. 184(2), pages 685-700, January.
    39. Po-Chi Chen & Ching-Cheng Chang & Chih-Li Lai, 2014. "Incentive regulation and performance measurement of Taiwan’s incineration plants: an application of the four-stage DEA method," Journal of Productivity Analysis, Springer, vol. 41(2), pages 277-290, April.
    40. Kuosmanen, Timo & Saastamoinen, Antti & Sipiläinen, Timo, 2013. "What is the best practice for benchmark regulation of electricity distribution? Comparison of DEA, SFA and StoNED methods," Energy Policy, Elsevier, vol. 61(C), pages 740-750.
    41. An, Qingxian & Tao, Xiangyang & Chen, Xiaohong, 2023. "Nested frontier-based best practice regulation under asymmetric information in a principal–agent framework," European Journal of Operational Research, Elsevier, vol. 306(1), pages 269-285.
    42. Kuosmanen, Timo, 2012. "Stochastic semi-nonparametric frontier estimation of electricity distribution networks: Application of the StoNED method in the Finnish regulatory model," Energy Economics, Elsevier, vol. 34(6), pages 2189-2199.
    43. Emil Heesche & Mette Asmild, 2020. "Incorporating quality in economic regulatory benchmarking," IFRO Working Paper 2020/13, University of Copenhagen, Department of Food and Resource Economics.
    44. Schmitt, Stephan & Stronzik, Marcus, 2015. "Die Rolle des generellen X-Faktors in verschiedenen Regulierungsregimen," WIK Discussion Papers 399, WIK Wissenschaftliches Institut für Infrastruktur und Kommunikationsdienste GmbH.
    45. Annageldy Arazmuradov, 2016. "Economic prospect on carbon emissions in Commonwealth of Independent States," Economic Change and Restructuring, Springer, vol. 49(4), pages 395-427, November.
    46. Song, Malin & Mangla, Sachin Kumar & Wang, Jianlin & Zhao, Jiajia & An, Jiafu, 2022. "Asymmetric information, “coal-to-gas” transition and coal reduction potential: An analysis using the nonparametric production frontier method," Energy Economics, Elsevier, vol. 114(C).
    47. Le, Minh Hanh & Afsharian, Mohsen & Ahn, Heinz, 2021. "Inverse Frontier-based Benchmarking for Investigating the Efficiency and Achieving the Targets in the Vietnamese Education System," Omega, Elsevier, vol. 103(C).
    48. An, Qingxian & Tao, Xiangyang & Xiong, Beibei & Chen, Xiaohong, 2022. "Frontier-based incentive mechanisms for allocating common revenues or fixed costs," European Journal of Operational Research, Elsevier, vol. 302(1), pages 294-308.
    49. Nolting, Lars & Schuller, Vanessa & Gaumnitz, Felix & Praktiknjo, Aaron, 2019. "Incentivizing timely investments in electrical grids: Analysis of the amendment of the German distribution grid regulation," Energy Policy, Elsevier, vol. 132(C), pages 754-763.

  40. AGRELL, Per J. & BOGETOFT, Peter & BROCK, Michael & TIND, Jorgen, 2005. "Efficiency evaluation with convex pairs," LIDAM Reprints CORE 1828, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. 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.
    2. Adel HATAMI-MARBINI & Per J. AGRELL & Hirofumi FUKUYAMA & Kobra GHOLAMI & Pegah KHOSHNEVIS, 2017. "The role of multiplier bounds in fuzzy data envelopment analysis," LIDAM Reprints CORE 2879, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Jean-Paul Chavas & Kwansoo Kim, 2015. "Nonparametric analysis of technology and productivity under non-convexity: a neighborhood-based approach," Journal of Productivity Analysis, Springer, vol. 43(1), pages 59-74, February.
    4. Victor Podinovski, 2004. "Efficiency and Global Scale Characteristics on the “No Free Lunch” Assumption Only," Journal of Productivity Analysis, Springer, vol. 22(3), pages 227-257, November.
    5. Monge, Juan F. & Ruiz, José L., 2023. "Setting closer targets based on non-dominated convex combinations of Pareto-efficient units: A bi-level linear programming approach in Data Envelopment Analysis," European Journal of Operational Research, Elsevier, vol. 311(3), pages 1084-1096.
    6. Podinovski, Victor V. & Kuosmanen, Timo, 2011. "Modelling weak disposability in data envelopment analysis under relaxed convexity assumptions," European Journal of Operational Research, Elsevier, vol. 211(3), pages 577-585, June.
    7. Barnabé Walheer, 2020. "Output, input, and undesirable output interconnections in data envelopment analysis: convexity and returns-to-scale," Annals of Operations Research, Springer, vol. 284(1), pages 447-467, January.
    8. Jean-Paul Chavas & Kwansoo Kim, 2016. "On the Microeconomics of Specialization: the Role of Non-Convexity," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 44(3), pages 387-403, September.
    9. Sung Ko Li & Chun Kei Tsang & Shu Kam Lee, 2024. "Partially Convex Production Technology and Efficiency Measurement," Journal of Productivity Analysis, Springer, vol. 62(3), pages 303-320, December.
    10. Chavas, Jean-Paul & Kim, Kwansoo, 2013. "Nonparametric Analysis of Technology and Productivity under Non-Convexity," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149684, Agricultural and Applied Economics Association.

  41. AGRELL, Per J. & BOGETOF, Peter, 2005. "Economic and environment efficiency of district heating plants," LIDAM Reprints CORE 1838, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Sueyoshi, Toshiyuki & Goto, Mika, 2010. "Should the US clean air act include CO2 emission control?: Examination by data envelopment analysis," Energy Policy, Elsevier, vol. 38(10), pages 5902-5911, October.
    2. Park, Sun-Young & Lee, Kyoung-Sil & Yoo, Seung-Hoon, 2016. "Economies of scale in the Korean district heating system: A variable cost function approach," Energy Policy, Elsevier, vol. 88(C), pages 197-203.
    3. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    4. Munksgaard, Jesper & Pade, Lise-Lotte & Fristrup, Peter, 2005. "Efficiency gains in Danish district heating. Is there anything to learn from benchmarking?," Energy Policy, Elsevier, vol. 33(15), pages 1986-1997, October.
    5. Rácz, Viktor J. & Vestergaard, Niels, 2016. "Productivity and efficiency measurement of the Danish centralized biogas power sector," Renewable Energy, Elsevier, vol. 92(C), pages 397-404.
    6. Sayegh, M.A. & Danielewicz, J. & Nannou, T. & Miniewicz, M. & Jadwiszczak, P. & Piekarska, K. & Jouhara, H., 2017. "Trends of European research and development in district heating technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 1183-1192.
    7. Vaninsky, Alexander, 2010. "Prospective national and regional environmental performance: Boundary estimations using a combined data envelopment – stochastic frontier analysis approach," Energy, Elsevier, vol. 35(9), pages 3657-3665.
    8. Sueyoshi, Toshiyuki & Goto, Mika & Ueno, Takahiro, 2010. "Performance analysis of US coal-fired power plants by measuring three DEA efficiencies," Energy Policy, Elsevier, vol. 38(4), pages 1675-1688, April.
    9. Min, Jeoung-Sik & Lim, Seul-Ye & Yoo, Seung-Hoon, 2019. "Economic output-maximizing share of combined heat and power generation: The case of South Korea," Energy Policy, Elsevier, vol. 132(C), pages 1087-1091.
    10. Teodora Melania Șoimoșan & Ligia Mihaela Moga & Gelu Danku & Aurica Căzilă & Daniela Lucia Manea, 2019. "Assessing the Energy Performance of Solar Thermal Energy for Heat Production in Urban Areas: A Case Study," Energies, MDPI, vol. 12(6), pages 1-19, March.
    11. Shermeh, H. Ebrahimzadeh & Najafi, S.E. & Alavidoost, M.H., 2016. "A novel fuzzy network SBM model for data envelopment analysis: A case study in Iran regional power companies," Energy, Elsevier, vol. 112(C), pages 686-697.
    12. Chen, Nengcheng & Xu, Lei & Chen, Zeqiang, 2017. "Environmental efficiency analysis of the Yangtze River Economic Zone using super efficiency data envelopment analysis (SEDEA) and tobit models," Energy, Elsevier, vol. 134(C), pages 659-671.
    13. Linden, Mikael & Peltola-Ojala, Päivi, 2010. "The deregulation effects of Finnish electricity markets on district heating prices," Energy Economics, Elsevier, vol. 32(5), pages 1191-1198, September.
    14. AGRELL, Per & HATAMI-MARBINI, Adel, 2011. "Frontier-based performance analysis models for supply chain management; state of the art and research directions," LIDAM Discussion Papers CORE 2011069, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    15. Lim, Seong-Rin & Schoenung, Julie M., 2011. "Measurement and analysis of product energy efficiency to assist energy star criteria development: An example for desktop computers," Energy Policy, Elsevier, vol. 39(12), pages 8003-8010.
    16. Mazhar, Abdur Rehman & Liu, Shuli & Shukla, Ashish, 2018. "A state of art review on the district heating systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 420-439.
    17. Geraldine Henningsen & Arne Henningsen & Sascha T. Schröder & Simon Bolwig, 2014. "The Development of Environmental Productivity: the Case of Danish Energy Plants," IFRO Working Paper 2014/04, University of Copenhagen, Department of Food and Resource Economics.
    18. Caputo, Paola & Ferla, Giulio & Ferrari, Simone, 2019. "Evaluation of environmental and energy effects of biomass district heating by a wide survey based on operational conditions in Italy," Energy, Elsevier, vol. 174(C), pages 1210-1218.
    19. Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "A survey of data envelopment analysis in energy and environmental studies," European Journal of Operational Research, Elsevier, vol. 189(1), pages 1-18, August.
    20. Jinchao Li & Jinying Li & Fengting Zheng, 2014. "Unified Efficiency Measurement of Electric Power Supply Companies in China," Sustainability, MDPI, vol. 6(2), pages 1-15, February.
    21. Vlontzos, George & Niavis, Spyros & Manos, Basil, 2014. "A DEA approach for estimating the agricultural energy and environmental efficiency of EU countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 91-96.
    22. Aldea, Anamaria & Ciobanu, Anamaria & Stancu, Ion, 2012. "The Renewable Energy Development: A Nonparametric Efficiency Analysis," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 5-19, March.
    23. Kircher, Kevin J. & Zhang, K. Max, 2021. "Heat purchase agreements could lower barriers to heat pump adoption," Applied Energy, Elsevier, vol. 286(C).
    24. Mahlberg, Bernhard & Frank-Stocker, Andrea & Koller, Wolfgang & Ramerstorfer, Christian, 2023. "Cost efficiency of renewable district heating systems: the case of Austria," MPRA Paper 118595, University Library of Munich, Germany.
    25. Lynes, Melissa & Featherstone, Allen, 2015. "Economic Efficiency of Utility Plants Under Renewable Energy Policy," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205674, Agricultural and Applied Economics Association.
    26. Kim, Ju-Hee & Kim, Hee-Hoon & Yoo, Seung-Hoon, 2022. "Social acceptance toward constructing a combined heat and power plant near people's dwellings in South Korea," Energy, Elsevier, vol. 244(PB).
    27. Rezaie, Behnaz & Rosen, Marc A., 2012. "District heating and cooling: Review of technology and potential enhancements," Applied Energy, Elsevier, vol. 93(C), pages 2-10.
    28. Camanho, Ana Santos & Silva, Maria Conceicao & Piran, Fabio Sartori & Lacerda, Daniel Pacheco, 2024. "A literature review of economic efficiency assessments using Data Envelopment Analysis," European Journal of Operational Research, Elsevier, vol. 315(1), pages 1-18.
    29. Hyo-Jin Kim & Jeong-Joon Yu & Seung-Hoon Yoo, 2019. "Does Combined Heat and Power Play the Role of a Bridge in Energy Transition? Evidence from a Cross-Country Analysis," Sustainability, MDPI, vol. 11(4), pages 1-8, February.
    30. Oliver-Solà, Jordi & Gabarrell, Xavier & Rieradevall, Joan, 2009. "Environmental impacts of the infrastructure for district heating in urban neighbourhoods," Energy Policy, Elsevier, vol. 37(11), pages 4711-4719, November.
    31. Boscan, Luis & Söderberg, Magnus, 2021. "A theoretical and empirical analysis of district heating cost in Denmark," Energy Economics, Elsevier, vol. 99(C).
    32. Sueyoshi, Toshiyuki & Goto, Mika, 2012. "Efficiency-based rank assessment for electric power industry: A combined use of Data Envelopment Analysis (DEA) and DEA-Discriminant Analysis (DA)," Energy Economics, Elsevier, vol. 34(3), pages 634-644.
    33. Seul-Ye Lim & Jeoung-Sik Min & Seung-Hoon Yoo, 2021. "Price and Income Elasticities of Residential Heat Demand from District Heating System: A Price Sensitivity Measurement Experiment in South Korea," Sustainability, MDPI, vol. 13(13), pages 1-10, June.
    34. Yi-Xuan Lu & Si-Ting Wang & Guan-Xin Yao & Jing Xu, 2023. "Green Total Factor Efficiency in Vegetable Production: A Comprehensive Ecological Analysis of China’s Practices," Agriculture, MDPI, vol. 13(10), pages 1-25, October.
    35. Xionghe Qin & Yanming Sun, 2019. "Cross-Regional Comparative Study on Environmental–Economic Efficiency and Driving Forces behind Efficiency Improvement in China: A Multistage Perspective," IJERPH, MDPI, vol. 16(7), pages 1-21, March.
    36. Hyo-Jin Kim & Jae-Sung Paek & Seung-Hoon Yoo, 2019. "Price Elasticity of Heat Demand in South Korean Manufacturing Sector: An Empirical Investigation," Sustainability, MDPI, vol. 11(21), pages 1-10, November.
    37. Cansino, José M. & Pablo-Romero, María del P. & Román, Rocío & Yñiguez, Rocío, 2011. "Promoting renewable energy sources for heating and cooling in EU-27 countries," Energy Policy, Elsevier, vol. 39(6), pages 3803-3812, June.
    38. Kim, Ju-Hee & Lim, Seul-Ye & Yoo, Seung-Hoon, 2023. "Does district heating affect residential property prices? Case study of an urban area in South Korea," Utilities Policy, Elsevier, vol. 83(C).
    39. Sueyoshi, Toshiyuki & Goto, Mika, 2011. "Operational synergy in the US electric utility industry under an influence of deregulation policy: A linkage to financial performance and corporate value," Energy Policy, Elsevier, vol. 39(2), pages 699-713, February.
    40. Torchio, Marco F. & Genon, Giuseppe & Poggio, Alberto & Poggio, Marco, 2009. "Merging of energy and environmental analyses for district heating systems," Energy, Elsevier, vol. 34(3), pages 220-227.
    41. Brkić, Dejan & Tanasković, Toma I., 2008. "Systematic approach to natural gas usage for domestic heating in urban areas," Energy, Elsevier, vol. 33(12), pages 1738-1753.
    42. Bartolozzi, Irene & Rizzi, Francesco & Frey, Marco, 2017. "Are district heating systems and renewable energy sources always an environmental win-win solution? A life cycle assessment case study in Tuscany, Italy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 408-420.

  42. Per Agrell & Jerôme Pouyet, 2004. "The Regulation of Transborder Network Services," Working Papers 2004-38, Center for Research in Economics and Statistics.

    Cited by:

    1. Ivaldi, Marc & Friebel, Guido & Pouyet, Jérôme, 2011. "Competition and Industry Structure for International Rail Transportation," CEPR Discussion Papers 8491, C.E.P.R. Discussion Papers.
    2. Friebel, Guido & Ivaldi, Marc & Pouyet, Jérôme, 2011. "Separation versus Integration in International Rail Markets: A Theoretical Investigation," TSE Working Papers 11-248, Toulouse School of Economics (TSE), revised Mar 2013.

  43. Agrell, Per J. & Bogetoft, Peter, 2001. "Issues and Challenges in Regulation Economics," Unit of Economics Working Papers 24216, Royal Veterinary and Agricultural University, Food and Resource Economic Institute.

    Cited by:

    1. Lins, Marcos Pereira Estellita & Sollero, Maria Karla Vervloet & Caloba, Guilherme Marques & da Silva, Angela Cristina Moreira, 2007. "Integrating the regulatory and utility firm perspectives, when measuring the efficiency of electricity distribution," European Journal of Operational Research, Elsevier, vol. 181(3), pages 1413-1424, September.

  44. Agrell, Per J. & Bogetoft, Peter, 2001. "DEA-Based Incentive Regimes in Health-Care Provision," Unit of Economics Working Papers 24182, Royal Veterinary and Agricultural University, Food and Resource Economic Institute.

    Cited by:

    1. Marques, Rui Cunha, 2006. "A yardstick competition model for Portuguese water and sewerage services regulation," Utilities Policy, Elsevier, vol. 14(3), pages 175-184, September.
    2. Sylvain Pichetti & David Bardey, 2004. "Estimation de l’efficience des dépenses de santé au niveau départemental par la méthode DEA," Économie et Prévision, Programme National Persée, vol. 166(5), pages 59-69.

  45. Per J. Agrell & Peter Bogetoft & Jørgen Tind, 2000. "Multi-Period Dea Incentive Regulation in Electricity Distribution," CIE Discussion Papers 2000-13, University of Copenhagen. Department of Economics. Centre for Industrial Economics.

    Cited by:

    1. Munksgaard, Jesper & Pade, Lise-Lotte & Fristrup, Peter, 2005. "Efficiency gains in Danish district heating. Is there anything to learn from benchmarking?," Energy Policy, Elsevier, vol. 33(15), pages 1986-1997, October.
    2. Antonio Estache & Sergio Perelman & Lourdes Trujillo, 2006. "Infrastructure Reform in Developing Economies: Evidence from a survey of efficiency measures," ULB Institutional Repository 2013/44062, ULB -- Universite Libre de Bruxelles.
    3. Padilla-Hernández, Salvador & Venegas-Martínez, Francisco & Gómez-Monge, Rodrigo (ed.), 2011. "Avances recientes en teoría y práctica económica," Sección de Estudios de Posgrado e Investigación de la Escuela Superios de Economía del Instituto Politécnico Nacional, Escuela Superior de Economía, Instituto Politécnico Nacional, edition 1, volume 2, number 006, January.
    4. Xie, Li & Kong, Chun, 2024. "Electricity user connection pricing strategy: The incomplete contract theory perspective," Energy Economics, Elsevier, vol. 132(C).
    5. Jamasb, T. & Mota, R. & Newbery, D. & Pollitt, M., 2004. "‘Electricity Sector Reform in Developing Countries: A Survey of Empirical Evidence on Determinants and Performance’," Cambridge Working Papers in Economics 0439, Faculty of Economics, University of Cambridge.
    6. Tim Coelli & Denis Lawrence (ed.), 2006. "Performance Measurement and Regulation of Network Utilities," Books, Edward Elgar Publishing, number 3801.

  46. Agrell, Per J. & Karantininis, Kostas, 2000. "Cooperative Supply Chains in Peace and at War," Unit of Economics Working Papers 24209, Royal Veterinary and Agricultural University, Food and Resource Economic Institute.

    Cited by:

    1. Valentinov, Vladislav & Iliopoulos, Constantine, 2013. "Economic theories of nonprofits and agricultural cooperatives compared: New perspectives for nonprofit scholars," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 42(1), pages 109-126.

  47. Agrell, Per J. & Karantininis, Kostas, 1999. "Cooperatives' Merger Strategies: The MD Foods - Klover Maelk Case," Unit of Economics Working Papers 24193, Royal Veterinary and Agricultural University, Food and Resource Economic Institute.

    Cited by:

    1. Fulton, Murray E. & Gibbings, Julie, 2000. "Response And Adaption: Canadian Agricultural Co-Operatives In The 21st Century," Miscellaneous Publications 31768, University of Saskatchewan, Centre for the Study of Co-operatives.
    2. Agrell, Per J. & Karantininis, Kostas, 2000. "Cooperative Supply Chains in Peace and at War," Unit of Economics Working Papers 24209, Royal Veterinary and Agricultural University, Food and Resource Economic Institute.

Articles

  1. Adel Hatami-Marbini & Siavash Hekmat & Per J. Agrell, 2022. "A strategy-based framework for supplier selection: a grey PCA-DEA approach," Operational Research, Springer, vol. 22(1), pages 263-297, March.
    See citations under working paper version above.
  2. Per J. Agrell & Pontus Mattsson & Jonas Månsson, 2020. "Impacts on efficiency of merging the Swedish district courts," Annals of Operations Research, Springer, vol. 288(2), pages 653-679, May.
    See citations under working paper version above.
  3. Agrell, Per J. & Teusch, Jonas, 2020. "Predictability and strategic behavior under frontier regulation," Energy Policy, Elsevier, vol. 137(C).
    See citations under working paper version above.
  4. Per Joakim Agrell & Peter Bogetoft, 2017. "Decentralization Policies for Supply Chain Investments Under Asymmetric Information," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 38(3), pages 394-408, April.
    See citations under working paper version above.
  5. Per J. Agrell & Axel Gautier, 2017. "A Theory of Soft Capture," Scandinavian Journal of Economics, Wiley Blackwell, vol. 119(3), pages 571-596, July.
    See citations under working paper version above.
  6. Adel Hatami-Marbini & Per J. Agrell & Hirofumi Fukuyama & Kobra Gholami & Pegah Khoshnevis, 2017. "The role of multiplier bounds in fuzzy data envelopment analysis," Annals of Operations Research, Springer, vol. 250(1), pages 249-276, March.
    See citations under working paper version above.
  7. Agrell, Per J. & Brea-Solís, Humberto, 2017. "Capturing heterogeneity in electricity distribution operations: A critical review of latent class modelling," Energy Policy, Elsevier, vol. 104(C), pages 361-372.
    See citations under working paper version above.
  8. Agrell, Per J. & Lundin, Johan & Norrman, Andreas, 2017. "Supply Chain Management: Horizontal carrier coordination through cooperative governance structures," International Journal of Production Economics, Elsevier, vol. 194(C), pages 59-72.
    See citations under working paper version above.
  9. Agrell, Per J. & Bogetoft, Peter, 2017. "Regulatory Benchmarking: Models, Analyses and Applications," Data Envelopment Analysis Journal, now publishers, vol. 3(1-2), pages 49-91, November.
    See citations under working paper version above.
  10. Manuel Herrera & Per J. Agrell & Casiano Manrique-de-Lara-Peñate & Lourdes Trujillo, 2017. "Vessel capacity restrictions in the fleet deployment problem: an application to the Panama Canal," Annals of Operations Research, Springer, vol. 253(2), pages 845-869, June.
    See citations under working paper version above.
  11. Agrell, Per J. & Grifell-Tatjé, Emili, 2016. "A dynamic model for firm-response to non-credible incentive regulation regimes," Energy Policy, Elsevier, vol. 90(C), pages 287-299.
    See citations under working paper version above.
  12. Per J. Agrell & Jonas Teusch, 2015. "Making the Belgian distribution system fit for the energy transition. The case for yardstick competition," Reflets et perspectives de la vie économique, De Boeck Université, vol. 0(1), pages 157-174.

    Cited by:

    1. Söderberg, Magnus & Vesterberg, Mattias, 2023. "How demand uncertainty influences electricity network prices under revenue-cap regulation: The case of Sweden," Energy Economics, Elsevier, vol. 127(PB).
    2. Axel Gautier & Julien Jacqmin, 2019. "Une nouvelle tarification des réseaux pour favoriser la transition énergétique," Regards économiques 145, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    3. Agrell, Per J. & Grifell-Tatjé, Emili, 2016. "A dynamic model for firm-response to non-credible incentive regulation regimes," Energy Policy, Elsevier, vol. 90(C), pages 287-299.
    4. Jonas Teusch, 2019. "When Efficient Firms Flock Together: Merger Incentives Under Yardstick Competition," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 55(2), pages 237-255, September.
    5. TEUSCH, Jonas, 2016. "Merger Incentives Under Yardstick Competition : a Theoretical Model," LIDAM Discussion Papers CORE 2016037, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

  13. Per Agrell & Peter Bogetoft & Martin Koller & Urs Trinkner, 2014. "Effizienzvergleich für Verteilernetzbetreiber Strom 2013," Studies and Reports, Swiss Economics, pages 1-99, March.

    Cited by:

    1. Bjørndal, Endre & Bjørndal, Mette & Cullmann, Astrid & Nieswand, Maria, 2016. "Finding the Right Yardstick: Regulation under Heterogeneous Environments," Discussion Papers 2016/4, Norwegian School of Economics, Department of Business and Management Science.
    2. Michael Hellwig & Dominik Schober & Luis Cabral, 2018. "Incentive Regulation: Evidence From German Electricity Networks," Working Papers 18-03, New York University, Leonard N. Stern School of Business, Department of Economics.
    3. Daniel Then & Christian Spalthoff & Johannes Bauer & Tanja M. Kneiske & Martin Braun, 2020. "Impact of Natural Gas Distribution Network Structure and Operator Strategies on Grid Economy in Face of Decreasing Demand," Energies, MDPI, vol. 13(3), pages 1-33, February.
    4. Maria Nieswand & Stefan Seifert, 2016. "Operational Conditions in Regulatory Benchmarking Models: A Monte Carlo Analysis," Discussion Papers of DIW Berlin 1585, DIW Berlin, German Institute for Economic Research.
    5. Bjørndal, Endre & Bjørndal, Mette & Cullmann, Astrid & Nieswand, Maria, 2018. "Finding the right yardstick: Regulation of electricity networks under heterogeneous environments," European Journal of Operational Research, Elsevier, vol. 265(2), pages 710-722.

  14. Agrell, Per J. & Niknazar, Pooria, 2014. "Structural and behavioral robustness in applied best-practice regulation," Socio-Economic Planning Sciences, Elsevier, vol. 48(1), pages 89-103.
    See citations under working paper version above.
  15. Agrell, Per J. & Bogetoft, Peter & Mikkers, Misja, 2013. "Smart-grid investments, regulation and organization," Energy Policy, Elsevier, vol. 52(C), pages 656-666.
    See citations under working paper version above.
  16. Agrell Per J. & Pouyet Jerome, 2008. "Regulatory Competition in Network Interconnection Pricing," Review of Network Economics, De Gruyter, vol. 7(1), pages 1-25, March.
    See citations under working paper version above.
  17. Agrell, Per J. & Bogetoft, Peter, 2005. "Economic and environmental efficiency of district heating plants," Energy Policy, Elsevier, vol. 33(10), pages 1351-1362, July.
    See citations under working paper version above.
  18. PER AGRELL & Peter Bogetoft & Jørgen Tind, 2005. "DEA and Dynamic Yardstick Competition in Scandinavian Electricity Distribution," Journal of Productivity Analysis, Springer, vol. 23(2), pages 173-201, May.
    See citations under working paper version above.
  19. Agrell, P.J.Per J. & Lindroth, Robert & Norrman, Andreas, 2004. "Risk, information and incentives in telecom supply chains," International Journal of Production Economics, Elsevier, vol. 90(1), pages 1-16, July.

    Cited by:

    1. Kauremaa, Jouni & Nurmilaakso, Juha-Miikka & Tanskanen, Kari, 2010. "E-business enabled operational linkages: The role of RosettaNet in integrating the telecommunications supply chain," International Journal of Production Economics, Elsevier, vol. 127(2), pages 343-357, October.
    2. Canakoglu, Ethem & Bilgic, Taner, 2007. "Analysis of a two-stage telecommunication supply chain with technology dependent demand," European Journal of Operational Research, Elsevier, vol. 177(2), pages 995-1012, March.
    3. Ojala, Mika & Hallikas, Jukka, 2006. "Investment decision-making in supplier networks: Management of risk," International Journal of Production Economics, Elsevier, vol. 104(1), pages 201-213, November.
    4. Jin, Yi & Zeng, Zhixiong, 2016. "Risk, risk aversion, and a finance-augmented neoclassical economic model of production," International Journal of Production Economics, Elsevier, vol. 176(C), pages 82-91.
    5. Yao, Dong-Qing & Yue, Xiaohang & Wang, Xiaoyin & Liu, John J., 2005. "The impact of information sharing on a returns policy with the addition of a direct channel," International Journal of Production Economics, Elsevier, vol. 97(2), pages 196-209, August.
    6. Tang, Ou & Nurmaya Musa, S., 2011. "Identifying risk issues and research advancements in supply chain risk management," International Journal of Production Economics, Elsevier, vol. 133(1), pages 25-34, September.
    7. Wen-Kuo Chen & Venkateswarlu Nalluri & Suresh Ma & Mei-Min Lin & Ching-Torng Lin, 2021. "An Exploration of the Critical Risk Factors in Sustainable Telecom Services: An Analysis of Indian Telecom Industries," Sustainability, MDPI, vol. 13(2), pages 1-22, January.
    8. Arcelus, F.J. & Kumar, Satyendra & Srinivasan, G., 2008. "Pricing and rebate policies in the two-echelon supply chain with asymmetric information under price-dependent, stochastic demand," International Journal of Production Economics, Elsevier, vol. 113(2), pages 598-618, June.
    9. Jammernegg, Werner & Reiner, Gerald, 2007. "Performance improvement of supply chain processes by coordinated inventory and capacity management," International Journal of Production Economics, Elsevier, vol. 108(1-2), pages 183-190, July.
    10. Per J. Agrell & Johan Lundin & Andreas Norrman, 2017. "Supply chain management: Horizontal carrier coordination through cooperative governance structures," LIDAM Reprints CORE 2931, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    11. Reiner, Gerald, 2005. "Customer-oriented improvement and evaluation of supply chain processes supported by simulation models," International Journal of Production Economics, Elsevier, vol. 96(3), pages 381-395, June.
    12. Mohammad Sultan Ansari & Jamal Ahmad Farooquie & Said Gattoufi, 2016. "Assessing the Impact of Service Quality on Customers and Operators: Empirical Study," International Journal of Business and Management, Canadian Center of Science and Education, vol. 11(9), pages 207-207, August.
    13. F J Arcelus & S Kumar & G Srinivasan, 2007. "Manufacturer's pricing strategies in a single-period framework under price-dependent stochastic demand with asymmetric risk-preference information," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(11), pages 1449-1458, November.
    14. de Mesnard, Louis, 2011. "More firms, more competition? The case of the fourth operator in France's mobile phone market," International Journal of Production Economics, Elsevier, vol. 130(2), pages 186-195, April.
    15. Lukas, Elmar & Welling, Andreas, 2017. "Efficient non-cooperative bargaining despite keeping strategic information private," Journal of Corporate Finance, Elsevier, vol. 42(C), pages 287-294.
    16. Lee, Hwee Khei & Fernando, Yudi, 2015. "The antecedents and outcomes of the medical tourism supply chain," Tourism Management, Elsevier, vol. 46(C), pages 148-157.
    17. Yu, Lei & Suojapelto, Kimmo & Hallikas, Jukka & Tang, Ou, 2008. "Chinese ICT industry from supply chain perspective--A case study of the major Chinese ICT players," International Journal of Production Economics, Elsevier, vol. 115(2), pages 374-387, October.
    18. AGRELL, Per & KASPERZEC, Roman, 2010. "Dynamic joint investments in supply chains under information asymmetry," LIDAM Discussion Papers CORE 2010085, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    19. Yao, Dong-Qing & Yue, Xiaohang & Liu, John, 2008. "Vertical cost information sharing in a supply chain with value-adding retailers," Omega, Elsevier, vol. 36(5), pages 838-851, October.
    20. Zormpas, Dimitrios, 2020. "Investments under vertical relations and agency conflicts: A real options approach," International Review of Economics & Finance, Elsevier, vol. 70(C), pages 273-287.

  20. Agrell, Per J. & Stam, Antonie & Fischer, Gunther W., 2004. "Interactive multiobjective agro-ecological land use planning: The Bungoma region in Kenya," European Journal of Operational Research, Elsevier, vol. 158(1), pages 194-217, October.

    Cited by:

    1. A J Higgins & L A Laredo, 2006. "Improving harvesting and transport planning within a sugar value chain," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(4), pages 367-376, April.
    2. Cisneros, J.M. & Grau, J.B. & Antón, J.M. & de Prada, J.D. & Cantero, A. & Degioanni, A.J., 2011. "Assessing multi-criteria approaches with environmental, economic and social attributes, weights and procedures: A case study in the Pampas, Argentina," Agricultural Water Management, Elsevier, vol. 98(10), pages 1545-1556, August.
    3. Jay Simon, 2020. "Weight Approximation for Spatial Outcomes," Sustainability, MDPI, vol. 12(14), pages 1-18, July.
    4. Sante, Ines & Crecente, Rafael, 2007. "LUSE, a decision support system for exploration of rural land use allocation: Application to the Terra Cha district of Galicia (N.W. Spain)," Agricultural Systems, Elsevier, vol. 94(2), pages 341-356, May.
    5. J. M. Antón & J. B. Grau & J. M. Cisneros & A. M. Tarquis & F. V. Laguna & J. J. Cantero & D. Andina & E. Sánchez, 2016. "Discrete multi-criteria methods for lands use and conservation planning on La Colacha in Arroyos Menores (Río Cuarto, Province of Córdoba, Argentina)," Annals of Operations Research, Springer, vol. 245(1), pages 315-336, October.
    6. J. Contreras & H. Lara & G. Nouel-Borges, 2019. "A mixed integer nonlinear programming model for biomass production," Operational Research, Springer, vol. 19(1), pages 39-57, March.
    7. Dunnett, A. & Shirsath, P.B. & Aggarwal, P.K. & Thornton, P. & Joshi, P.K. & Pal, B.D. & Khatri-Chhetri, A. & Ghosh, J., 2018. "Multi-objective land use allocation modelling for prioritizing climate-smart agricultural interventions," Ecological Modelling, Elsevier, vol. 381(C), pages 23-35.
    8. Bisera Andrić Gušavac & Selman Karagoz & Milena Popović & Dragan Pamućar & Muhammet Deveci, 2023. "Reconcilement of conflicting goals: a novel operations research-based methodology for environmental management," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 7423-7460, August.
    9. Brandenburg, Marcus & Govindan, Kannan & Sarkis, Joseph & Seuring, Stefan, 2014. "Quantitative models for sustainable supply chain management: Developments and directions," European Journal of Operational Research, Elsevier, vol. 233(2), pages 299-312.
    10. Pilehforooshha, Parastoo & Karimi, Mohammad & Taleai, Mohammad, 2014. "A GIS-based agricultural land-use allocation model coupling increase and decrease in land demand," Agricultural Systems, Elsevier, vol. 130(C), pages 116-125.
    11. Pinar, Mehmet & Stengos, Thanasis & Topaloglou, Nikolas, 2020. "On the construction of a feasible range of multidimensional poverty under benchmark weight uncertainty," European Journal of Operational Research, Elsevier, vol. 281(2), pages 415-427.
    12. Liu, Dehai & Li, Hongyi & Wang, Weiguo & Dong, Yucheng, 2012. "Constructivism scenario evolutionary analysis of zero emission regional planning: A case of Qaidam Circular Economy Pilot Area in China," International Journal of Production Economics, Elsevier, vol. 140(1), pages 341-356.

  21. Agrell, Per J. & Bogetoft, Peter & Tind, Jorgen, 2002. "Incentive plans for productive efficiency, innovation and learning," International Journal of Production Economics, Elsevier, vol. 78(1), pages 1-11, July.

    Cited by:

    1. Kristiaan Kerstens & Jafar Sadeghi & Mehdi Toloo & Ignace van de Woestyne, 2022. "Procedures for ranking technical and cost efficient units: With a focus on nonconvexity," Post-Print hal-03595989, HAL.
    2. Bogetoft, Peter & Nielsen, Kurt, 2003. "Yardstick Based Procurement Design In Natural Resource Management," 2003 Annual Meeting, August 16-22, 2003, Durban, South Africa 25910, International Association of Agricultural Economists.
    3. Mohsen Afsharian, 2020. "A metafrontier-based yardstick competition mechanism for incentivising units in centrally managed multi-group organisations," Annals of Operations Research, Springer, vol. 288(2), pages 681-700, May.
    4. Agrell, Per J. & Bogetoft, Peter & Mikkers, Misja, 2013. "Smart-grid investments, regulation and organization," Energy Policy, Elsevier, vol. 52(C), pages 656-666.
    5. Afsharian, Mohsen & Ahn, Heinz & Thanassoulis, Emmanuel, 2017. "A DEA-based incentives system for centrally managed multi-unit organisations," European Journal of Operational Research, Elsevier, vol. 259(2), pages 587-598.
    6. Bogetoft, Peter & Fare, Rolf & Obel, Borge, 2006. "Allocative efficiency of technically inefficient production units," European Journal of Operational Research, Elsevier, vol. 168(2), pages 450-462, January.
    7. AGRELL, Per & BOGETOFT, Peter, 2013. "Benchmarking and regulation," LIDAM Discussion Papers CORE 2013008, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    8. Emil Heesche & Peter Bogetoft, 2021. "Incentives in regulatory DEA models with discretionary outputs: The case of Danish water regulation," IFRO Working Paper 2021/04, University of Copenhagen, Department of Food and Resource Economics.
    9. Agrell, Per J. & Bogetoft, Peter, 2001. "DEA-Based Incentive Regimes in Health-Care Provision," Unit of Economics Working Papers 24182, Royal Veterinary and Agricultural University, Food and Resource Economic Institute.
    10. J.W.B. Bos & J. Kolari & R. van Lamoen, 2009. "Competition and Innovation: Evidence from Financial Services," Working Papers 09-16, Utrecht School of Economics.
    11. Mircea Epure, 2012. "Benchmarking for routines and organizational knowledge: A managerial accounting approach with performance feedback," Economics Working Papers 1399, Department of Economics and Business, Universitat Pompeu Fabra, revised Feb 2016.
    12. An, Qingxian & Zhang, Qiaoyu & Tao, Xiangyang, 2023. "Pay-for-performance incentives in benchmarking with quasi S-shaped technology," Omega, Elsevier, vol. 118(C).
    13. Lorenzo Castelli & Raffaele Pesenti & Walter Ukovich, 2010. "A classification of DEA models when the internal structure of the Decision Making Units is considered," Annals of Operations Research, Springer, vol. 173(1), pages 207-235, January.
    14. Afsharian, Mohsen & Ahn, Heinz & Harms, Sören Guntram, 2019. "Performance comparison of management groups under centralised management," European Journal of Operational Research, Elsevier, vol. 278(3), pages 845-854.
    15. Kalinichenko, Olena & Amado, Carla A.F. & Santos, Sérgio P., 2022. "Exploring the potential of Data Envelopment Analysis for enhancing pay-for-performance programme design in primary health care," European Journal of Operational Research, Elsevier, vol. 298(3), pages 1084-1100.
    16. Skerlavaj, Miha & Stemberger, Mojca Indihar & Skrinjar, Rok & Dimovski, Vlado, 2007. "Organizational learning culture--the missing link between business process change and organizational performance," International Journal of Production Economics, Elsevier, vol. 106(2), pages 346-367, April.
    17. Bogetoft, Peter & Nielsen, Kurt, 2008. "DEA based auctions," European Journal of Operational Research, Elsevier, vol. 184(2), pages 685-700, January.
    18. Afsharian, Mohsen & Bogetoft, Peter, 2020. "Identifying production units with outstanding performance," European Journal of Operational Research, Elsevier, vol. 287(3), pages 1191-1194.

  22. Per Agrell & Jørgen Tind, 2001. "A Dual Approach to Nonconvex Frontier Models," Journal of Productivity Analysis, Springer, vol. 16(2), pages 129-147, September.

    Cited by:

    1. Keshvari, Abolfazl & Kuosmanen, Timo, 2013. "Stochastic non-convex envelopment of data: Applying isotonic regression to frontier estimation," European Journal of Operational Research, Elsevier, vol. 231(2), pages 481-491.
    2. Tone, Kaoru & Sahoo, Biresh K., 2003. "Scale, indivisibilities and production function in data envelopment analysis," International Journal of Production Economics, Elsevier, vol. 84(2), pages 165-192, May.
    3. Agrell, Per Joakim & Teusch, Jonas, 2020. "Predictability and strategic behavior under frontier regulation," LIDAM Reprints CORE 3094, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    4. Kristiaan Kerstens & Ignace Van de Woestyne, 2018. "Enumeration algorithms for FDH directional distance functions under different returns to scale assumptions," Annals of Operations Research, Springer, vol. 271(2), pages 1067-1078, December.
    5. Agrell, Per J. & Bogetoft, Peter, 2005. "Economic and environmental efficiency of district heating plants," Energy Policy, Elsevier, vol. 33(10), pages 1351-1362, July.
    6. Syrjanen, Mikko J., 2004. "Non-discretionary and discretionary factors and scale in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 158(1), pages 20-33, October.
    7. Xiao, Helu & Zhou, Zhongbao & Ren, Teng & Liu, Wenbin, 2022. "Estimation of portfolio efficiency in nonconvex settings: A free disposal hull estimator with non-increasing returns to scale," Omega, Elsevier, vol. 111(C).
    8. Agrell, Per J. & Niknazar, Pooria, 2014. "Structural and behavioral robustness in applied best-practice regulation," Socio-Economic Planning Sciences, Elsevier, vol. 48(1), pages 89-103.
    9. Jean-Paul Chavas & Kwansoo Kim, 2015. "Nonparametric analysis of technology and productivity under non-convexity: a neighborhood-based approach," Journal of Productivity Analysis, Springer, vol. 43(1), pages 59-74, February.
    10. Ehrgott, Matthias & Tind, Jørgen, 2009. "Column generation with free replicability in DEA," Omega, Elsevier, vol. 37(5), pages 943-950, October.
    11. Yang, Jian-Bo & Wong, Brandon Y.H. & Xu, Dong-Ling & Stewart, Theodor J., 2009. "Integrating DEA-oriented performance assessment and target setting using interactive MOLP methods," European Journal of Operational Research, Elsevier, vol. 195(1), pages 205-222, May.
    12. H. Leleu, 2006. "A linear programming framework for free disposal hull technologies and cost functions: primal and dual models," Post-Print hal-00204497, HAL.
    13. Kuosmanen, Timo & Cherchye, Laurens & Sipilainen, Timo, 2006. "The law of one price in data envelopment analysis: Restricting weight flexibility across firms," European Journal of Operational Research, Elsevier, vol. 170(3), pages 735-757, May.
    14. H Leleu, 2009. "Mixing DEA and FDH models together," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(12), pages 1730-1737, December.
    15. Diogo Cunha Ferreira & Rui Cunha Marques, 2020. "A step forward on order-α robust nonparametric method: inclusion of weight restrictions, convexity and non-variable returns to scale," Operational Research, Springer, vol. 20(2), pages 1011-1046, June.
    16. Giovanni Cesaroni & Kristiaan Kerstens & Ignace Van de Woestyne, 2017. "Estimating scale economies in non-convex production models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(11), pages 1442-1451, November.
    17. Fukuyama, Hirofumi & Shiraz, Rashed Khanjani, 2015. "Cost-effectiveness measures on convex and nonconvex technologies," European Journal of Operational Research, Elsevier, vol. 246(1), pages 307-319.
    18. Mohsen Afsharian & Heinz Ahn, 2015. "The overall Malmquist index: a new approach for measuring productivity changes over time," Annals of Operations Research, Springer, vol. 226(1), pages 1-27, March.
    19. Farzaneh Asadi & Sohrab Kordrostami & Alireza Amirteimoori & Morteza Bazrafshan, 2023. "Inverse data envelopment analysis without convexity: double frontiers," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 46(1), pages 335-354, June.
    20. Mahmood Mehdiloo & Jafar Sadeghi & Kristiaan Kerstens, 2024. "Top Down Axiomatic Modeling of Metatechnologies and Evaluating Directional Economic Efficiency," Working Papers 2024-EQM-03, IESEG School of Management.
    21. Walter Briec & Ignace van de Woestyne & Kristiaan Kerstens, 2022. "Nonconvexity in Production and Cost Functions: An Exploratory and Selective Review," Post-Print hal-03833475, HAL.
    22. Diogo Cunha Ferreira & Rui Cunha Marques & Maria Isabel Pedro & Carolina Amaral, 2020. "Economic Inefficiency Levels of Urban Solid Waste Management Services in Portugal," Sustainability, MDPI, vol. 12(10), pages 1-29, May.
    23. Diogo Cunha Ferreira & Rui Cunha Marques & Alexandre Morais Nunes, 2021. "Pay for performance in health care: a new best practice tariff-based tool using a log-linear piecewise frontier function and a dual–primal approach for unique solutions," Operational Research, Springer, vol. 21(3), pages 2101-2146, September.
    24. Sung Ko Li & Chun Kei Tsang & Shu Kam Lee, 2024. "Partially Convex Production Technology and Efficiency Measurement," Journal of Productivity Analysis, Springer, vol. 62(3), pages 303-320, December.
    25. Afsharian, Mohsen & Podinovski, Victor V., 2018. "A linear programming approach to efficiency evaluation in nonconvex metatechnologies," European Journal of Operational Research, Elsevier, vol. 268(1), pages 268-280.

  23. Agrell, Per J. & Martin West, B., 2001. "A caveat on the measurement of productive efficiency," International Journal of Production Economics, Elsevier, vol. 69(1), pages 1-14, January.

    Cited by:

    1. Celik Parkan, 2007. "A further clarification of OCRA and its properties in response to Wang and Wang (2005)," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 161-168.
    2. Avninder Gill, 2011. "Measurement and Comparison of Productivity Performance Under Fuzzy Imprecise Data," International Journal of Business Research and Management (IJBRM), Computer Science Journals (CSC Journals), vol. 2(1), pages 19-32, April.
    3. Azari-Rad, Hamid, 2004. "Inventory dynamics, time lags, and efficiency measures," International Journal of Production Economics, Elsevier, vol. 87(1), pages 17-24, January.
    4. Parkan, Celik, 2007. "Verifying OCRA's economic sense: Response to Agrell and West (2001)," International Journal of Production Economics, Elsevier, vol. 107(1), pages 274-278, May.
    5. AGRELL, Per & HATAMI-MARBINI, Adel, 2011. "Frontier-based performance analysis models for supply chain management; state of the art and research directions," LIDAM Discussion Papers CORE 2011069, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    6. Hampf, Benjamin, 2016. "Rational Inefficiency, Adjustment Costs and Sequential Technologies," VfS Annual Conference 2016 (Augsburg): Demographic Change 145796, Verein für Socialpolitik / German Economic Association.
    7. Shouhong Wang & Hai Wang, 2005. "The mystification of operational competitiveness rating analysis," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 26(8), pages 535-538.
    8. Ender Coskun & Abdulvahap Ozcan, 2016. "Finansal Sikinti Surecinde Sirketlerin Etkinlik Duzeylerinin Belirlenmesi," EconWorld Working Papers 16001, WERI-World Economic Research Institute, revised Apr 2016.
    9. Fraccascia, Luca & Albino, Vito & Garavelli, Claudio A., 2017. "Technical efficiency measures of industrial symbiosis networks using enterprise input-output analysis," International Journal of Production Economics, Elsevier, vol. 183(PA), pages 273-286.
    10. António Afonso & Sónia Fernandes, 2003. "Efficiency of Local Government Spending: Evidence for the Lisbon Region," Working Papers Department of Economics 2003/09, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    11. Jean-Philippe Boussemart & Benoît Demil & Aude Deville & Olivier de la Villarmois & Xavier Lecocq & Hervé Leleu, 2013. "A method to analyze profit differential between firms," Working Papers 2013-ECO-01, IESEG School of Management.
    12. 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.
    13. Hampf, Benjamin, 2017. "Rational inefficiency, adjustment costs and sequential technologies," European Journal of Operational Research, Elsevier, vol. 263(3), pages 1095-1108.

  24. Agrell, Per J., 1997. "On redundancy in multi criteria decision making," European Journal of Operational Research, Elsevier, vol. 98(3), pages 571-586, May.

    Cited by:

    1. Lindroth, Peter & Patriksson, Michael & Strömberg, Ann-Brith, 2010. "Approximating the Pareto optimal set using a reduced set of objective functions," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1519-1534, December.
    2. Nguyen Thoai, 2012. "Criteria and dimension reduction of linear multiple criteria optimization problems," Journal of Global Optimization, Springer, vol. 52(3), pages 499-508, March.

  25. Agrell, Per J. & Wikner, Joakim, 1996. "An MCDM framework for dynamic systems," International Journal of Production Economics, Elsevier, vol. 45(1-3), pages 279-292, August.

    Cited by:

    1. Miragliotta, Giovanni & Brun, Alessandro & Soydan, Ilker A., 2009. "Coordinating multi-business sales through management simulators," International Journal of Production Economics, Elsevier, vol. 121(2), pages 533-549, October.
    2. Lin, J. & Naim, M.M. & Purvis, L. & Gosling, J., 2017. "The extension and exploitation of the inventory and order based production control system archetype from 1982 to 2015," International Journal of Production Economics, Elsevier, vol. 194(C), pages 135-152.

  26. Agrell, Per J. & Wikner, Joakim, 1996. "A coherent methodology for productivity analysis employing integrated partial efficiency," International Journal of Production Economics, Elsevier, vol. 46(1), pages 401-411, December.

    Cited by:

    1. Chen, Wen-Chih & McGinnis, Leon F., 2007. "Reconciling ratio analysis and DEA as performance assessment tools," European Journal of Operational Research, Elsevier, vol. 178(1), pages 277-291, April.
    2. Agrell, Per J. & Martin West, B., 2001. "A caveat on the measurement of productive efficiency," International Journal of Production Economics, Elsevier, vol. 69(1), pages 1-14, January.

  27. Agrell, Per J., 1995. "A multicriteria framework for inventory control," International Journal of Production Economics, Elsevier, vol. 41(1-3), pages 59-70, October.

    Cited by:

    1. Brito, Anderson J. & de Almeida, Adiel T., 2012. "Modeling a multi-attribute utility newsvendor with partial backlogging," European Journal of Operational Research, Elsevier, vol. 220(3), pages 820-830.
    2. Achin Srivastav & Sunil Agrawal, 2020. "Multi-objective optimization of mixture inventory system experiencing order crossover," Annals of Operations Research, Springer, vol. 290(1), pages 943-960, July.
    3. Tsou, Ching-Shih, 2009. "Evolutionary Pareto optimizers for continuous review stochastic inventory systems," European Journal of Operational Research, Elsevier, vol. 195(2), pages 364-371, June.
    4. Schaefer, Brian & Konur, Dinçer, 2015. "Economic and environmental considerations in a continuous review inventory control system with integrated transportation decisions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 80(C), pages 142-165.
    5. Poormoaied, Saeed & Atan, Zümbül, 2020. "A multi-attribute utility theory approach to ordering policy for perishable items," International Journal of Production Economics, Elsevier, vol. 225(C).
    6. Gonçalves, João N.C. & Sameiro Carvalho, M. & Cortez, Paulo, 2020. "Operations research models and methods for safety stock determination: A review," Operations Research Perspectives, Elsevier, vol. 7(C).

  28. Agrell, Per J., 1994. "A multicriteria approach to concurrent engineering," International Journal of Production Economics, Elsevier, vol. 34(1), pages 99-113, February.

    Cited by:

    1. Biren (Brian) Prasad, 2002. "Building blocks for a decision‐based integrated product development and system realization process," Systems Engineering, John Wiley & Sons, vol. 5(2), pages 123-144.
    2. Bock, Stefan & Pütz, Markus, 2017. "Implementing Value Engineering based on a multidimensional quality-oriented control calculus within a Target Costing and Target Pricing approach," International Journal of Production Economics, Elsevier, vol. 183(PA), pages 146-158.
    3. Agrell, Per J., 1995. "A multicriteria framework for inventory control," International Journal of Production Economics, Elsevier, vol. 41(1-3), pages 59-70, October.

Chapters

  1. Per J. Agrell & Peter Bogetoft, 2016. "Endogenous Common Weights as a Collusive Instrument in Frontier-Based Regulation," International Series in Operations Research & Management Science, in: Juan Aparicio & C. A. Knox Lovell & Jesus T. Pastor (ed.), Advances in Efficiency and Productivity, chapter 0, pages 181-194, Springer.
    See citations under working paper version above.
  2. Per J. Agrell & Axel Gautier, 2012. "Rethinking Regulatory Capture," Chapters, in: Joseph E. Harrington Jr & Yannis Katsoulacos (ed.), Recent Advances in the Analysis of Competition Policy and Regulation, chapter 14, Edward Elgar Publishing.
    See citations under working paper version above.Sorry, no citations of chapters recorded.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.