IDEAS home Printed from https://ideas.repec.org/a/eee/jomega/v94y2020ics0305048318308867.html
   My bibliography  Save this article

Spatial directional robust Benefit of the Doubt approach in presence of undesirable output: An application to Italian waste sector

Author

Listed:
  • Fusco, Elisa
  • Vidoli, Francesco
  • Rogge, Nicky

Abstract

This paper introduces a new composite indicator method integrating the spatial dependence into the robust directional model in the case of undesirable outputs. The proposed approach is advantageous compared to the traditional and conditional robust Benefit-of-the-Doubt (BoD) models in that it allows to compare the performance of individual units with local cluster of peers. The methodology has been tested on a very detailed database of Italian municipalities for the year 2015 in the municipal solid waste collection and processing sector and confirms the existence of strong local constraints linked to the disposal facilities planned by higher level Authorities.

Suggested Citation

  • Fusco, Elisa & Vidoli, Francesco & Rogge, Nicky, 2020. "Spatial directional robust Benefit of the Doubt approach in presence of undesirable output: An application to Italian waste sector," Omega, Elsevier, vol. 94(C).
    • Handle: RePEc:eee:jomega:v:94:y:2020:i:c:s0305048318308867
    DOI: 10.1016/j.omega.2019.03.011
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0305048318308867
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.omega.2019.03.011?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Pérez-López, Gemma & Prior, Diego & Zafra-Gómez, José Luis & Plata-Díaz, Ana María, 2016. "Cost efficiency in municipal solid waste service delivery. Alternative management forms in relation to local population size," European Journal of Operational Research, Elsevier, vol. 255(2), pages 583-592.
    2. Cinzia Daraio & Léopold Simar & Paul W. Wilson, 2020. "Fast and efficient computation of directional distance estimators," Annals of Operations Research, Springer, vol. 288(2), pages 805-835, May.
    3. Pérez-López, Gemma & Prior, Diego & Zafra-Gómez, José L., 2018. "Temporal scale efficiency in DEA panel data estimations. An application to the solid waste disposal service in Spain," Omega, Elsevier, vol. 76(C), pages 18-27.
    4. Hoang, Viet-Ngu & Coelli, Tim, 2011. "Measurement of agricultural total factor productivity growth incorporating environmental factors: A nutrients balance approach," Journal of Environmental Economics and Management, Elsevier, vol. 62(3), pages 462-474.
    5. Bădin, Luiza & Daraio, Cinzia & Simar, Léopold, 2012. "How to measure the impact of environmental factors in a nonparametric production model," European Journal of Operational Research, Elsevier, vol. 223(3), pages 818-833.
    6. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    7. Picazo-Tadeo, Andrés J. & Castillo-Giménez, Juana & Beltrán-Esteve, Mercedes, 2014. "An intertemporal approach to measuring environmental performance with directional distance functions: Greenhouse gas emissions in the European Union," Ecological Economics, Elsevier, vol. 100(C), pages 173-182.
    8. Boyd, Gale A. & McClelland, John D., 1999. "The Impact of Environmental Constraints on Productivity Improvement in Integrated Paper Plants," Journal of Environmental Economics and Management, Elsevier, vol. 38(2), pages 121-142, September.
    9. Massimiliano Mazzanti & Anna Montini & Francesco Nicolli, 2012. "Waste dynamics in economic and policy transitions: decoupling, convergence and spatial effects," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 55(5), pages 563-581, August.
    10. Robin Boadway, 2004. "The Theory and Practice of Equalization," CESifo Economic Studies, CESifo Group, vol. 50(1), pages 211-254.
    11. Francesco Vidoli & Elisa Fusco & Claudio Mazziotta, 2015. "Non-compensability in Composite Indicators: A Robust Directional Frontier Method," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 122(3), pages 635-652, July.
    12. Romano, Giulia & Guerrini, Andrea, 2011. "Measuring and comparing the efficiency of water utility companies: A data envelopment analysis approach," Utilities Policy, Elsevier, vol. 19(3), pages 202-209.
    13. Daraio, Cinzia & Simar, Léopold, 2014. "Directional distances and their robust versions: Computational and testing issues," European Journal of Operational Research, Elsevier, vol. 237(1), pages 358-369.
    14. Juan Aparicio & Magdalena Kapelko, 2019. "Enhancing the Measurement of Composite Indicators of Corporate Social Performance," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(2), pages 807-826, July.
    15. Lovell, C. A. Knox & Pastor, Jesus T., 1999. "Radial DEA models without inputs or without outputs," European Journal of Operational Research, Elsevier, vol. 118(1), pages 46-51, October.
    16. Rogge, Nicky & de Jaeger, Simon, 2012. "Evaluating the efficiency of municipalities in collecting and processing municipal solid waste: A shared input DEA-model," Working Papers 2012/22, Hogeschool-Universiteit Brussel, Faculteit Economie en Management.
    17. Racine, Jeff & Li, Qi, 2004. "Nonparametric estimation of regression functions with both categorical and continuous data," Journal of Econometrics, Elsevier, vol. 119(1), pages 99-130, March.
    18. Khanna, Madhu & Quimio, Wilma Rose H. & Bojilova, Dora, 1998. "Toxics Release Information: A Policy Tool for Environmental Protection," Journal of Environmental Economics and Management, Elsevier, vol. 36(3), pages 243-266, November.
    19. Knox Lovell, C. A. & Pastor, Jesus T. & Turner, Judi A., 1995. "Measuring macroeconomic performance in the OECD: A comparison of European and non-European countries," European Journal of Operational Research, Elsevier, vol. 87(3), pages 507-518, December.
    20. Fusco, Elisa & Vidoli, Francesco & Sahoo, Biresh K., 2018. "Spatial heterogeneity in composite indicator: A methodological proposal," Omega, Elsevier, vol. 77(C), pages 1-14.
    21. Hamilton, Stephen F. & Sproul, Thomas W. & Sunding, David & Zilberman, David, 2013. "Environmental policy with collective waste disposal," Journal of Environmental Economics and Management, Elsevier, vol. 66(2), pages 337-346.
    22. E. Dijkgraaf & R. Gradus, 2003. "Cost Savings of Contracting Out Refuse Collection," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 30(2), pages 149-161, June.
    23. John Cubbin & Simon Domberger & Shirley Meadowcroft, 1987. "Competitive tendering and refuse collection: identifying the sources of efficiency gains," Fiscal Studies, Institute for Fiscal Studies, vol. 8(3), pages 49-58, August.
    24. Tommaso Agasisti & Carlo Salerno, 2007. "Assessing the Cost Efficiency of Italian Universities," Education Economics, Taylor & Francis Journals, vol. 15(4), pages 455-471.
    25. Atakelty Hailu & Terrence S. Veeman, 2001. "Non-parametric Productivity Analysis with Undesirable Outputs: An Application to the Canadian Pulp and Paper Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 605-616.
    26. Zhou, P. & Delmas, M.A. & Kohli, A., 2017. "Constructing meaningful environmental indices: A nonparametric frontier approach," Journal of Environmental Economics and Management, Elsevier, vol. 85(C), pages 21-34.
    27. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    28. Russell G. Thompson & F. D. Singleton & Robert M. Thrall & Barton A. Smith, 1986. "Comparative Site Evaluations for Locating a High-Energy Physics Lab in Texas," Interfaces, INFORMS, vol. 16(6), pages 35-49, December.
    29. Rogge, Nicky & De Jaeger, Simon & Lavigne, Carolien, 2017. "Waste Performance of NUTS 2-regions in the EU: A Conditional Directional Distance Benefit-of-the-Doubt Model," Ecological Economics, Elsevier, vol. 139(C), pages 19-32.
    30. Zhou, P. & Ang, B.W. & Han, J.Y., 2010. "Total factor carbon emission performance: A Malmquist index analysis," Energy Economics, Elsevier, vol. 32(1), pages 194-201, January.
    31. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    32. Vincenzo Atella & Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Giorgia Marini, 2012. "Cost-containment policies and hospital efficiency: evidence from a panel of Italian hospitals," CEIS Research Paper 228, Tor Vergata University, CEIS, revised 13 Apr 2012.
    33. Laurens Cherchye & Timo Kuosmanen & Thierry Post, 2000. "What Is the Economic Meaning of FDH? A Reply to Thrall," Journal of Productivity Analysis, Springer, vol. 13(3), pages 263-267, May.
    34. Tommaso Agasisti & Antonio Dal Bianco & Massimo Griffini, 2016. "The public sector efficiency in Italy: The case of Lombardy municipalities in the provision of the essential public services," ECONOMIA PUBBLICA, FrancoAngeli Editore, vol. 2016(1), pages 59-84.
    35. Cinzia Daraio & Léopold Simar, 2016. "Efficiency and benchmarking with directional distances: a data-driven approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(7), pages 928-944, July.
    36. Rogge, Nicky & De Jaeger, Simon, 2013. "Measuring and explaining the cost efficiency of municipal solid waste collection and processing services," Omega, Elsevier, vol. 41(4), pages 653-664.
    37. Knox Lovell, C. A. & Pastor, Jesus T., 1997. "Target setting: An application to a bank branch network," European Journal of Operational Research, Elsevier, vol. 98(2), pages 290-299, April.
    38. Zanella, Andreia & Camanho, Ana S. & Dias, Teresa G., 2015. "Undesirable outputs and weighting schemes in composite indicators based on data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 245(2), pages 517-530.
    39. Kristof De Witte & Mika Kortelainen, 2013. "What explains the performance of students in a heterogeneous environment? Conditional efficiency estimation with continuous and discrete environmental variables," Applied Economics, Taylor & Francis Journals, vol. 45(17), pages 2401-2412, June.
    40. Färe, Rolf & Grosskopf, Shawna & Pasurka, Carl A., 2007. "Environmental production functions and environmental directional distance functions," Energy, Elsevier, vol. 32(7), pages 1055-1066.
    41. Vidoli, Francesco & Cardillo, Concetta & Fusco, Elisa & Canello, Jacopo, 2016. "Spatial nonstationarity in the stochastic frontier model: An application to the Italian wine industry," Regional Science and Urban Economics, Elsevier, vol. 61(C), pages 153-164.
    42. Rogge, Nicky, 2012. "Undesirable specialization in the construction of composite policy indicators: The Environmental Performance Index," Working Papers 2012/08, Hogeschool-Universiteit Brussel, Faculteit Economie en Management.
    43. Laurens Cherchye & Willem Moesen & Nicky Rogge & Tom Puyenbroeck, 2007. "An Introduction to ‘Benefit of the Doubt’ Composite Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 82(1), pages 111-145, May.
    44. Atella, Vincenzo & Belotti, Federico & Depalo, Domenico & Piano Mortari, Andrea, 2014. "Measuring spatial effects in the presence of institutional constraints: The case of Italian Local Health Authority expenditure," Regional Science and Urban Economics, Elsevier, vol. 49(C), pages 232-241.
    45. Andrea Guerrini & Giulia Romano & Bettina Campedelli, 2013. "Economies of Scale, Scope, and Density in the Italian Water Sector: A Two-Stage Data Envelopment Analysis Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(13), pages 4559-4578, October.
    46. Salvatore Greco & Alessio Ishizaka & Menelaos Tasiou & Gianpiero Torrisi, 2019. "On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 61-94, January.
    47. Cherchye, Laurens & De Rock, Bram & Hennebel, Veerle, 2014. "The economic meaning of Data Envelopment Analysis: A ‘behavioral’ perspective," Socio-Economic Planning Sciences, Elsevier, vol. 48(1), pages 29-37.
    48. W. Liu & W. Meng & X. Li & D. Zhang, 2010. "DEA models with undesirable inputs and outputs," Annals of Operations Research, Springer, vol. 173(1), pages 177-194, January.
    49. Antonio Afonso & Carla Scaglioni, 2005. "Public Services Efficiency Provision in Italian Regions: a Non-Parametric Analysis," Working Papers Department of Economics 2005/02, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    50. Tommaso Agasisti, 2013. "The efficiency of Italian secondary schools and the potential role of competition: a data envelopment analysis using OECD-PISA2006 data," Education Economics, Taylor & Francis Journals, vol. 21(5), pages 520-544, December.
    51. Fare, Rolf, et al, 1989. "Multilateral Productivity Comparisons When Some Outputs Are Undesirable: A Nonparametric Approach," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 90-98, February.
    52. Seiford, Lawrence M. & Zhu, Joe, 2002. "Modeling undesirable factors in efficiency evaluation," European Journal of Operational Research, Elsevier, vol. 142(1), pages 16-20, October.
    53. Massimiliano Piacenza, 2006. "Regulatory Contracts and Cost Efficiency: Stochastic Frontier Evidence from the Italian Local Public Transport," Journal of Productivity Analysis, Springer, vol. 25(3), pages 257-277, June.
    54. Linderhof, Vincent & Kooreman, Peter & Allers, Maarten & Wiersma, Doede, 2001. "Weight-based pricing in the collection of household waste: the Oostzaan case," Resource and Energy Economics, Elsevier, vol. 23(4), pages 359-371, October.
    55. Cazals, Catherine & Florens, Jean-Pierre & Simar, Leopold, 2002. "Nonparametric frontier estimation: a robust approach," Journal of Econometrics, Elsevier, vol. 106(1), pages 1-25, January.
    56. E. Dijkgraaf & R. H. J. M. Gradus & B. Melenberg, 2003. "Contracting out refuse collection," Empirical Economics, Springer, vol. 28(3), pages 553-570, July.
    57. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    58. Massimiliano Mazzanti & Roberto Zoboli, 2013. "Resource taxation and regional planning: revenue recycling for local sustainability in the aggregates sector," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 56(6), pages 893-916, July.
    59. Fusco, Elisa, 2015. "Enhancing non-compensatory composite indicators: A directional proposal," European Journal of Operational Research, Elsevier, vol. 242(2), pages 620-630.
    60. Scheel, Holger, 2001. "Undesirable outputs in efficiency valuations," European Journal of Operational Research, Elsevier, vol. 132(2), pages 400-410, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Su, Weihua & Chen, Sibo & Zhang, Chonghui & Li, Kevin W., 2023. "A subgroup dominance-based benefit of the doubt method for addressing rank reversals: A case study of the human development index in Europe," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1299-1317.
    2. Charlotte Wüst & Nicky Rogge, 2022. "How is the European Union progressing towards its Europe 2020 targets? A benefit-of-the-doubt window analysis," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 49(2), pages 405-438, May.
    3. Juan Aparicio & Magdalena Kapelko & Juan F. Monge, 2020. "A Well-Defined Composite Indicator: An Application to Corporate Social Responsibility," Journal of Optimization Theory and Applications, Springer, vol. 186(1), pages 299-323, July.
    4. Stumbrienė, Dovilė & Želvys, Rimantas & Žilinskas, Julius & Dukynaitė, Rita & Jakaitienė, Audronė, 2022. "Efficiency and effectiveness analysis based on educational inclusion and fairness of European countries," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    5. Vilarinho, Hermilio & D’Inverno, Giovanna & Nóvoa, Henriqueta & Camanho, Ana S., 2023. "The measurement of asset management performance of water companies," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    6. Vidoli, F.; & Fusco, E.; & Pignataro, G.; & Guccio, C.;, 2023. "Multi-directional Robust Benefit of the Doubt model: a comprehensive measure for the quality of health care in OECD countries," Health, Econometrics and Data Group (HEDG) Working Papers 23/14, HEDG, c/o Department of Economics, University of York.
    7. Gulati, Rachita & Charles, Vincent & Kumar, Sunil, 2024. "School education development index: A meta-frontier range directional measure benefit-of-the-doubt model," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    8. D'Inverno, Giovanna & Moesen, Wim & De Witte, Kristof, 2022. "Local government size and service level provision. Evidence from conditional non-parametric analysis," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    9. Rita Matos & Diogo Ferreira & Maria Isabel Pedro, 2021. "Economic Analysis of Portuguese Public Hospitals Through the Construction of Quality, Efficiency, Access, and Financial Related Composite Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 157(1), pages 361-392, August.
    10. Fusco, Elisa, 2023. "Potential improvements approach in composite indicators construction: The Multi-directional Benefit of the Doubt model," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    11. Pereira, Miguel Alves & Vilarinho, Hermilio & D’Inverno, Giovanna & Camanho, Ana S., 2023. "A regulatory robust conditional approach to measuring the efficiency of wholesale water supply and wastewater treatment services," Utilities Policy, Elsevier, vol. 83(C).
    12. Giménez, Víctor & Prior, Diego & Thieme, Claudio & Tortosa-Ausina, Emili, 2024. "International comparisons of COVID-19 pandemic management: What can be learned from activity analysis techniques?," Omega, Elsevier, vol. 122(C).
    13. Ioannis Skevas & Alfons Oude Lansink, 2020. "Dynamic Inefficiency and Spatial Spillovers in Dutch Dairy Farming," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 742-759, September.
    14. Walheer, Barnabé, 2024. "A sequential benefit-of-the-doubt composite indicator," European Journal of Operational Research, Elsevier, vol. 316(1), pages 228-239.
    15. Alda A. Henriques & Milton Fontes & Ana S. Camanho & Giovanna D’Inverno & Pedro Amorim & Jaime Gabriel Silva, 2022. "Performance evaluation of problematic samples: a robust nonparametric approach for wastewater treatment plants," Annals of Operations Research, Springer, vol. 315(1), pages 193-220, August.
    16. Romano, Giulia & Molinos-Senante, María & Carosi, Laura & Llanquileo-Melgarejo, Paula & Sala-Garrido, Ramón & Mocholi-Arce, Manuel, 2021. "Assessing the dynamic eco-efficiency of Italian municipalities by accounting for the ownership of the entrusted waste utilities," Utilities Policy, Elsevier, vol. 73(C).
    17. Vidoli, F. & Fusco, E. & Pignataro, G. & Guccio, C., 2024. "Multi-directional Robust Benefit of the Doubt model: An application to the measurement of the quality of acute care services in OECD countries," Socio-Economic Planning Sciences, Elsevier, vol. 93(C).
    18. Mergoni, Anna & D'Inverno, Giovanna & Carosi, Laura, 2022. "A composite indicator for measuring the environmental performance of water, wastewater, and solid waste utilities," Utilities Policy, Elsevier, vol. 74(C).
    19. Ioannis Skevas & Alfons Oude Lansink & Theodoros Skevas, 2023. "Analysing inefficiency in a non‐parametric spatial‐dynamic by‐production framework: A k‐nearest neighbour proposal," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(2), pages 591-607, June.
    20. Eni Dardha & Nicky Rogge, 2020. "How's Life in Your Region? Measuring Regional Material Living Conditions, Quality of Life and Subjective Well-Being in OECD Countries Using a Robust, Conditional Benefit-of-the-Doubt Model," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 151(3), pages 1015-1073, October.
    21. Rogge, Nicky & Archer, Geoffrey, 2021. "Measuring and analyzing country change in establishing ease of doing business using a revised version of World Bank's ease of doing business index," European Journal of Operational Research, Elsevier, vol. 290(1), pages 373-385.
    22. Vilarinho, Hermilio & D’Inverno, Giovanna & Nóvoa, Henriqueta & Camanho, Ana S., 2023. "Performance analytics for regulation in retail water utilities: Guiding asset management by identifying peers and targets," Utilities Policy, Elsevier, vol. 82(C).
    23. Ramon Sala-Garrido & Manuel Mocholí-Arce & María Molinos-Senante, 2021. "Assessing the Quality of Service of Water Companies: a ‘Benefit of the Doubt’ Composite Indicator," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(1), pages 371-387, May.
    24. Carmelo Algeri & Luc Anselin & Antonio Fabio Forgione & Carlo Migliardo, 2022. "Spatial dependence in the technical efficiency of local banks," Papers in Regional Science, Wiley Blackwell, vol. 101(3), pages 685-716, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rogge, Nicky & De Jaeger, Simon & Lavigne, Carolien, 2017. "Waste Performance of NUTS 2-regions in the EU: A Conditional Directional Distance Benefit-of-the-Doubt Model," Ecological Economics, Elsevier, vol. 139(C), pages 19-32.
    2. Fusco, Elisa & Vidoli, Francesco & Sahoo, Biresh K., 2018. "Spatial heterogeneity in composite indicator: A methodological proposal," Omega, Elsevier, vol. 77(C), pages 1-14.
    3. Fusco, Elisa & Allegrini, Veronica, 2020. "The role of spatial interdependence in local government cost efficiency: An application to waste Italian sector," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    4. Cordero Ferrera, Jose Manuel & Alonso Morán, Edurne & Nuño Solís, Roberto & Orueta, Juan F. & Souto Arce, Regina, 2013. "Efficiency assessment of primary care providers: A conditional nonparametric approach," MPRA Paper 51926, University Library of Munich, Germany.
    5. D’Inverno, Giovanna & De Witte, Kristof, 2020. "Service level provision in municipalities: A flexible directional distance composite indicator," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1129-1141.
    6. Kristof De Witte & Laura López-Torres, 2017. "Efficiency in education: a review of literature and a way forward," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 339-363, April.
    7. Dakpo, Hervé K & Jeanneaux, Philippe & Latruffe, Laure, 2014. "Inclusion of undesirable outputs in production technology modeling: The case of greenhouse gas emissions in French meat sheep farming," Working Papers 207806, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    8. Zhou, P. & Delmas, M.A. & Kohli, A., 2017. "Constructing meaningful environmental indices: A nonparametric frontier approach," Journal of Environmental Economics and Management, Elsevier, vol. 85(C), pages 21-34.
    9. Fusco, Elisa & Maggi, Bernardo & Rizzuto, Livia, 2022. "Alternative indicators for the evaluation of renewables in Europe: An efficiency approach," Renewable Energy, Elsevier, vol. 190(C), pages 48-65.
    10. Giménez, Víctor & Prior, Diego & Thieme, Claudio & Tortosa-Ausina, Emili, 2024. "International comparisons of COVID-19 pandemic management: What can be learned from activity analysis techniques?," Omega, Elsevier, vol. 122(C).
    11. Ramon Sala-Garrido & Manuel Mocholí-Arce & María Molinos-Senante, 2021. "Assessing the Quality of Service of Water Companies: a ‘Benefit of the Doubt’ Composite Indicator," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(1), pages 371-387, May.
    12. Paolo Liberati & Raffaele Lagravinese & Giuliano Resce, 2017. "How Does Economic Social And Cultural Status Affect The Efficiency Of Educational Attainments? A Comparative Analysis On Pisa Results," Departmental Working Papers of Economics - University 'Roma Tre' 0217, Department of Economics - University Roma Tre.
    13. Du, Kerui & Lu, Huang & Yu, Kun, 2014. "Sources of the potential CO2 emission reduction in China: A nonparametric metafrontier approach," Applied Energy, Elsevier, vol. 115(C), pages 491-501.
    14. Cordero, José Manuel & Alonso-Morán, Edurne & Nuño-Solinis, Roberto & Orueta, Juan F. & Arce, Regina Sauto, 2015. "Efficiency assessment of primary care providers: A conditional nonparametric approach," European Journal of Operational Research, Elsevier, vol. 240(1), pages 235-244.
    15. Zanella, Andreia & Camanho, Ana S. & Dias, Teresa G., 2015. "Undesirable outputs and weighting schemes in composite indicators based on data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 245(2), pages 517-530.
    16. Jeanneaux, Philippe & Latruffe, Laure, 2016. "Modelling pollution-generating technologies in performance benchmarking: Recent developments, limits and future prospects in the nonparametric frameworkAuthor-Name: Dakpo, K. Hervé," European Journal of Operational Research, Elsevier, vol. 250(2), pages 347-359.
    17. Pereira, Miguel Alves & Camanho, Ana Santos & Figueira, José Rui & Marques, Rui Cunha, 2021. "Incorporating preference information in a range directional composite indicator: The case of Portuguese public hospitals," European Journal of Operational Research, Elsevier, vol. 294(2), pages 633-650.
    18. De Witte, Kristof & Schiltz, Fritz, 2018. "Measuring and explaining organizational effectiveness of school districts: Evidence from a robust and conditional Benefit-of-the-Doubt approach," European Journal of Operational Research, Elsevier, vol. 267(3), pages 1172-1181.
    19. Gulati, Rachita & Charles, Vincent & Kumar, Sunil, 2024. "School education development index: A meta-frontier range directional measure benefit-of-the-doubt model," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    20. Xiang Ji & Jiasen Sun & Qunwei Wang & Qianqian Yuan, 2019. "Revealing Energy Over-Consumption and Pollutant Over-Emission Behind GDP: A New Multi-criteria Sustainable Measure," Computational Economics, Springer;Society for Computational Economics, vol. 54(4), pages 1391-1421, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jomega:v:94:y:2020:i:c:s0305048318308867. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/375/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.