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Performance analysis for three pillars of sustainability

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  • Jean-Philippe Boussemart

    (LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique)

  • Hervé Leleu

    (LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique)

  • Zhiyang Shen

    (LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique)

  • Vivian Valdmanis

Abstract

Gross domestic product (GDP) has come under criticism as the only objective countries' should pursue for societal well-being. In this paper we apply an innovative Data Envelopment Analysis (DEA) approach for including two other pillars including an environmental dimension, reduction of carbon dioxide (CO2) emissions and a social dimension such as: increasing employment, and expanding healthcare and education expenditures. By linking together three DEA sub-technologies, we model a global technology which combines the objectives of the three pillars. Finally, by weighting each of them by different schemes, we demonstrate the practicality of our approach for policy tradeoffs governments can make among economic, environmental and social objectives.

Suggested Citation

  • Jean-Philippe Boussemart & Hervé Leleu & Zhiyang Shen & Vivian Valdmanis, 2020. "Performance analysis for three pillars of sustainability," Post-Print hal-03046676, HAL.
  • Handle: RePEc:hal:journl:hal-03046676
    DOI: 10.1007/s11123-020-00575-9
    Note: View the original document on HAL open archive server: https://hal.archives-ouvertes.fr/hal-03046676
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    as
    1. Mirhedayatian, Seyed Mostafa & Azadi, Majid & Farzipoor Saen, Reza, 2014. "A novel network data envelopment analysis model for evaluating green supply chain management," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 544-554.
    2. Shen, Zhiyang & Boussemart, Jean-Philippe & Leleu, Hervé, 2017. "Aggregate green productivity growth in OECD’s countries," International Journal of Production Economics, Elsevier, vol. 189(C), pages 30-39.
    3. Yin-Fang Zhang & David Parker & Colin Kirkpatrick, 2008. "Electricity sector reform in developing countries: an econometric assessment of the effects of privatization, competition and regulation," Journal of Regulatory Economics, Springer, vol. 33(2), pages 159-178, April.
    4. Robert G. Chambers & Teresa Serra, 2018. "The social dimension of firm performance: a data envelopment approach," Empirical Economics, Springer, vol. 54(1), pages 189-206, February.
    5. B. Hollingsworth & P. Smith, 2003. "Use of ratios in data envelopment analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 10(11), pages 733-735.
    6. 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.
    7. Ang, Frederic & Van Passel, Steven & Mathijs, Erik, 2011. "An aggregate resource efficiency perspective on sustainability: A Sustainable Value application to the EU-15 countries," Ecological Economics, Elsevier, vol. 71(C), pages 99-110.
    8. Sushama Murty & R. Robert Russell, 2018. "Modeling emission-generating technologies: reconciliation of axiomatic and by-production approaches," Empirical Economics, Springer, vol. 54(1), pages 7-30, February.
    9. Sahoo, Biresh K. & Luptacik, Mikulas & Mahlberg, Bernhard, 2011. "Alternative measures of environmental technology structure in DEA: An application," European Journal of Operational Research, Elsevier, vol. 215(3), pages 750-762, December.
    10. Rolf Färe & Shawna Grosskopf & Carl A. Pasurka & Ron Shadbegian, 2018. "Pollution abatement and employment," Empirical Economics, Springer, vol. 54(1), pages 259-285, February.
    11. Fare, Rolf & Grosskopf, Shawna, 2004. "Modeling undesirable factors in efficiency evaluation: Comment," European Journal of Operational Research, Elsevier, vol. 157(1), pages 242-245, August.
    12. 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.
    13. Zhou, P. & Ang, B.W. & Poh, K.L., 2006. "Slacks-based efficiency measures for modeling environmental performance," Ecological Economics, Elsevier, vol. 60(1), pages 111-118, November.
    14. Sueyoshi, Toshiyuki & Goto, Mika, 2011. "Methodological comparison between two unified (operational and environmental) efficiency measurements for environmental assessment," European Journal of Operational Research, Elsevier, vol. 210(3), pages 684-693, May.
    15. 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.
    16. 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.
    17. 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).
    18. Fare, Rolf & Grosskopf, Shawna & Noh, Dong-Woon & Weber, William, 2005. "Characteristics of a polluting technology: theory and practice," Journal of Econometrics, Elsevier, vol. 126(2), pages 469-492, June.
    19. Färe, Rolf & Grosskopf, Shawna & Pasurka, Carl A., 2007. "Environmental production functions and environmental directional distance functions," Energy, Elsevier, vol. 32(7), pages 1055-1066.
    20. Cutler J. Cleveland & Matthias Ruth, 1998. "Indicators of Dematerialization and the Materials Intensity of Use," Journal of Industrial Ecology, Yale University, vol. 2(3), pages 15-50, July.
    21. Justin Doran & Nóirín McCarthy & Marie O’Connor, 2018. "The role of entrepreneurship in stimulating economic growth in developed and developing countries," Cogent Economics & Finance, Taylor & Francis Journals, vol. 6(1), pages 1442093-144, January.
    22. 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.
    23. Mahdiloo, Mahdi & Saen, Reza Farzipoor & Lee, Ki-Hoon, 2015. "Technical, environmental and eco-efficiency measurement for supplier selection: An extension and application of data envelopment analysis," International Journal of Production Economics, Elsevier, vol. 168(C), pages 279-289.
    24. Lehtonen, Markku, 2004. "The environmental-social interface of sustainable development: capabilities, social capital, institutions," Ecological Economics, Elsevier, vol. 49(2), pages 199-214, June.
    25. 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.
    26. Bosetti, Valentina & Buchner, Barbara, 2009. "Data Envelopment Analysis of different climate policy scenarios," Ecological Economics, Elsevier, vol. 68(5), pages 1340-1354, March.
    27. Chambers, Robert G. & Chung, Yangho & Fare, Rolf, 1996. "Benefit and Distance Functions," Journal of Economic Theory, Elsevier, vol. 70(2), pages 407-419, August.
    28. Kuosmanen, Timo & Kuosmanen, Natalia, 2009. "How not to measure sustainable value (and how one might)," Ecological Economics, Elsevier, vol. 69(2), pages 235-243, December.
    29. Antal, Miklós & van den Bergh, Jeroen C.J.M., 2014. "Re-spending rebound: A macro-level assessment for OECD countries and emerging economies," Energy Policy, Elsevier, vol. 68(C), pages 585-590.
    30. Leontief, Wassily, 1970. "Environmental Repercussions and the Economic Structure: An Input-Output Approach," The Review of Economics and Statistics, MIT Press, vol. 52(3), pages 262-271, August.
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