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Performance evaluation using multi-stage production frameworks: Assessing the tradeoffs among the economic, environmental, and social well-being

Author

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  • Niu, Yiran
  • Boussemart, Jean-Philippe
  • Shen, Zhiyang
  • Vardanyan, Michael
Abstract
Aiming to achieve sustainable development, a constantly growing number of countries have strived to promote economic growth while simultaneously mitigating environmental degradation and maximizing social welfare. However, despite the importance attributed to social well-being in contemporary discourse, its role has not received much attention in the performance evaluation literature. We propose a novel, multi-stage framework based on three dimensions of performance allowing us to assess the tradeoffs between the economic, environmental, and social efficiency in 28 OECD member countries from 2000 to 2019. We construct several scenarios representing policymakers' preferences by altering the weights assigned to the different performance pillars, allowing us to assess the environmental and social repercussions of economic growth. Our findings suggest that policies promoting relatively balanced growth patterns can offer opportunities for higher performance across all three pillars. At the same time, prioritizing development along any single dimension can trigger a relatively significant drop in progress in terms of the other two pillars. We also demonstrate that the sustainable development potential has varied across time and space. Comparisons suggest that the European OECD member countries have outperformed their non-European counterparts in terms of the economic performance, health outcomes, life expectancy, and carbon dioxide (CO2) emissions. Our results can provide policymakers with insights into strategies for promoting economic growth that account for sustainable development objectives.

Suggested Citation

  • Niu, Yiran & Boussemart, Jean-Philippe & Shen, Zhiyang & Vardanyan, Michael, 2024. "Performance evaluation using multi-stage production frameworks: Assessing the tradeoffs among the economic, environmental, and social well-being," European Journal of Operational Research, Elsevier, vol. 318(3), pages 1000-1013.
    • Handle: RePEc:eee:ejores:v:318:y:2024:i:3:p:1000-1013
    DOI: 10.1016/j.ejor.2024.05.046
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    1. Pham, Manh D. & Zelenyuk, Valentin, 2019. "Weak disposability in nonparametric production analysis: A new taxonomy of reference technology sets," European Journal of Operational Research, Elsevier, vol. 274(1), pages 186-198.
    2. repec:hal:spmain:info:hdl:2441/4vsqk7docb9nmophtp29pk68cr is not listed on IDEAS
    3. Kirk Hamilton, 1996. "Pollution And Pollution Abatement In The National Accounts," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 42(1), pages 13-33, March.
    4. Jean-Philippe Boussemart & Hervé Leleu & Zhiyang Shen & Vivian Valdmanis, 2020. "Performance analysis for three pillars of sustainability," Journal of Productivity Analysis, Springer, vol. 53(3), pages 305-320, June.
    5. 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.
    6. Benjamin Hampf, 2018. "Measuring inefficiency in the presence of bad outputs: Does the disposability assumption matter?," Empirical Economics, Springer, vol. 54(1), pages 101-127, February.
    7. 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.
    8. 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.
    9. Ayres, Robert U & Kneese, Allen V, 1969. "Production , Consumption, and Externalities," American Economic Review, American Economic Association, vol. 59(3), pages 282-297, June.
    10. Subhash C. Ray & Kankana Mukherjee & Anand Venkatesh, 2018. "Nonparametric measures of efficiency in the presence of undesirable outputs: a by-production approach," Empirical Economics, Springer, vol. 54(1), pages 31-65, February.
    11. Forsund, Finn R., 2009. "Good Modelling of Bad Outputs: Pollution and Multiple-Output Production," International Review of Environmental and Resource Economics, now publishers, vol. 3(1), pages 1-38, August.
    12. Cook, Wade D. & Zhu, Joe, 2007. "Within-group common weights in DEA: An analysis of power plant efficiency," European Journal of Operational Research, Elsevier, vol. 178(1), pages 207-216, April.
    13. Smith, P, 1990. "Data envelopment analysis applied to financial statements," Omega, Elsevier, vol. 18(2), pages 131-138.
    14. Yang, Hongliang & Pollitt, Michael, 2010. "The necessity of distinguishing weak and strong disposability among undesirable outputs in DEA: Environmental performance of Chinese coal-fired power plants," Energy Policy, Elsevier, vol. 38(8), pages 4440-4444, August.
    15. Li, Mo & Fu, Qiang & Singh, Vijay P. & Liu, Dong & Li, Tianxiao & Zhou, Yan, 2020. "Managing agricultural water and land resources with tradeoff between economic, environmental, and social considerations: A multi-objective non-linear optimization model under uncertainty," Agricultural Systems, Elsevier, vol. 178(C).
    16. Tim Coelli & Ludwig Lauwers & Guido Huylenbroeck, 2007. "Environmental efficiency measurement and the materials balance condition," Journal of Productivity Analysis, Springer, vol. 28(1), pages 3-12, October.
    17. Hampf, Benjamin & Rodseth, Kenneth, 2019. "Environmental Efficiency Measurement with Heterogeneous Input Quality: A Nonparametric Analysis of U.S. Power Plants," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 118700, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    18. Cooper, W.W. & Ruiz, José L. & Sirvent, Inmaculada, 2009. "Selecting non-zero weights to evaluate effectiveness of basketball players with DEA," European Journal of Operational Research, Elsevier, vol. 195(2), pages 563-574, June.
    19. 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.
    20. Färe, Rolf & Pasurka, Carl & Vardanyan, Michael, 2017. "On endogenizing direction vectors in parametric directional distance function-based models," European Journal of Operational Research, Elsevier, vol. 262(1), pages 361-369.
    21. Murty, Sushama & Robert Russell, R. & Levkoff, Steven B., 2012. "On modeling pollution-generating technologies," Journal of Environmental Economics and Management, Elsevier, vol. 64(1), pages 117-135.
    22. Hampf, Benjamin, 2018. "Measuring Inefficiency in the Presence of Bad Outputs: Does the Disposability Assumption Matter?," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 110815, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    23. Ray, Subhash C. & Walden, John & Chen, Lei, 2021. "Economic measures of capacity utilization: A nonparametric short-run cost function analysis," European Journal of Operational Research, Elsevier, vol. 293(1), pages 375-387.
    24. Mahlberg, Bernhard & Sahoo, Biresh K., 2011. "Radial and non-radial decompositions of Luenberger productivity indicator with an illustrative application," International Journal of Production Economics, Elsevier, vol. 131(2), pages 721-726, June.
    25. Färe, Rolf & Grosskopf, Shawna & Pasurka, Carl A., 2007. "Environmental production functions and environmental directional distance functions," Energy, Elsevier, vol. 32(7), pages 1055-1066.
    26. Finn R. Førsund, 2018. "Multi-equation modelling of desirable and undesirable outputs satisfying the materials balance," Empirical Economics, Springer, vol. 54(1), pages 67-99, February.
    27. Kumar Mandal, Sabuj & Madheswaran, S., 2010. "Environmental efficiency of the Indian cement industry: An interstate analysis," Energy Policy, Elsevier, vol. 38(2), pages 1108-1118, February.
    28. Boussemart, Jean-Philippe & Leleu, Hervé & Shen, Zhiyang & Vardanyan, Michael & Zhu, Ning, 2019. "Decomposing banking performance into economic and credit risk efficiencies," European Journal of Operational Research, Elsevier, vol. 277(2), pages 719-726.
    29. Rolf Färe & Shawna Grosskopf, 2003. "Nonparametric Productivity Analysis with Undesirable Outputs: Comment," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(4), pages 1070-1074.
    30. William D. Nordhaus & James Tobin, 1972. "Economic Research: Retrospect and Prospect, Volume 5, Economic Growth," NBER Books, National Bureau of Economic Research, Inc, number nord72-1.
    31. Chen, Yao & Iqbal Ali, Agha, 2004. "DEA Malmquist productivity measure: New insights with an application to computer industry," European Journal of Operational Research, Elsevier, vol. 159(1), pages 239-249, November.
    32. 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.
    33. Cropper, Maureen L & Oates, Wallace E, 1992. "Environmental Economics: A Survey," Journal of Economic Literature, American Economic Association, vol. 30(2), pages 675-740, June.
    34. Chambers, Robert G. & Chung, Yangho & Fare, Rolf, 1996. "Benefit and Distance Functions," Journal of Economic Theory, Elsevier, vol. 70(2), pages 407-419, August.
    35. Callens, Isabelle & Tyteca, Daniel, 1999. "Towards indicators of sustainable development for firms: A productive efficiency perspective," Ecological Economics, Elsevier, vol. 28(1), pages 41-53, January.
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