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ESG principles: the limits to green benchmarking

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  • DiMaria, charles-henri

Abstract

Taxonomy and efficiency assessments provide financial intermediaries (FIs) with guidance to grant funds according to the Environmental, Social and Governance principles. The EBRD provides a classification of industries according to a priori potential risk (low, medium or high). Using a panel of 28 industries in Luxembourg (2008-2019) and National Account data (NA), we challenge this taxonomy. We compute Data Envelopment Analysis (DEA) efficiency scores indicating if an industry could increase output while simultaneously lowering the emission of greenhouse gases. Our results show that EBRD low risk industries are the most efficient ones. Surprisingly, high-risk industries are more efficient than medium-risk ones, suggesting a potential unintended outcome of the EBRD taxonomy—limiting credit to industries classified as high risk that are in fact more efficient than industries classified as medium risk.

Suggested Citation

  • DiMaria, charles-henri, 2024. "ESG principles: the limits to green benchmarking," MPRA Paper 120410, University Library of Munich, Germany, revised 2024.
    • Handle: RePEc:pra:mprapa:120410
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    1. Chen, Yenpao & Guo, Ruey-Ji & Huang, Rao-Li, 2009. "Two stages credit evaluation in bank loan appraisal," Economic Modelling, Elsevier, vol. 26(1), pages 63-70, January.
    2. Hou Xiaoyu, 2023. "Corporate ESG Performance and Financing Constraints: Empirical Evidence from Chinese Listed Companies," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 13(5), pages 1-4.
    3. Daniel Cash, 2018. "Sustainable finance ratings as the latest symptom of ‘rating addiction’," Journal of Sustainable Finance & Investment, Taylor & Francis Journals, vol. 8(3), pages 242-258, July.
    4. Jun, Eunju & Joon Kim, Won & Hoon Jeong, Yong & Heung Chang, Soon, 2010. "Measuring the social value of nuclear energy using contingent valuation methodology," Energy Policy, Elsevier, vol. 38(3), pages 1470-1476, March.
    5. 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.
    6. Degryse, Hans & Goncharenko, Roman & Theunisz, Carola & Vadasz, Tamas, 2023. "When green meets green," Journal of Corporate Finance, Elsevier, vol. 78(C).
    7. Michael Cappucci, 2018. "The ESG Integration Paradox," Journal of Applied Corporate Finance, Morgan Stanley, vol. 30(2), pages 22-28, June.
    8. Christopher O’Donnell & D. Rao & George Battese, 2008. "Metafrontier frameworks for the study of firm-level efficiencies and technology ratios," Empirical Economics, Springer, vol. 34(2), pages 231-255, March.
    9. Li, Lan-bing & Liu, Bing-lian & Liu, Wei-lin & Chiu, Yung-Ho, 2017. "Efficiency evaluation of the regional high-tech industry in China: A new framework based on meta-frontier dynamic DEA analysis," Socio-Economic Planning Sciences, Elsevier, vol. 60(C), pages 24-33.
    10. Giovanni Trovato & Marco Alfó, 2006. "Credit rationing and the financial structure of Italian small and medium enterprises," Journal of Applied Economics, Universidad del CEMA, vol. 9, pages 167-184, May.
    11. Chiu, Ching-Ren & Liou, Je-Liang & Wu, Pei-Ing & Fang, Chen-Ling, 2012. "Decomposition of the environmental inefficiency of the meta-frontier with undesirable output," Energy Economics, Elsevier, vol. 34(5), pages 1392-1399.
    12. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    13. van den Bergh, Jeroen C.J.M., 2008. "Environmental regulation of households: An empirical review of economic and psychological factors," Ecological Economics, Elsevier, vol. 66(4), pages 559-574, July.
    14. Huijts, Nicole M.A. & Midden, Cees J.H. & Meijnders, Anneloes L., 2007. "Social acceptance of carbon dioxide storage," Energy Policy, Elsevier, vol. 35(5), pages 2780-2789, May.
    15. Subodh Kumar & R. Robert Russell, 2002. "Technological Change, Technological Catch-up, and Capital Deepening: Relative Contributions to Growth and Convergence," American Economic Review, American Economic Association, vol. 92(3), pages 527-548, June.
    16. Florian Berg & Julian F Kölbel & Roberto Rigobon, 2022. "Aggregate Confusion: The Divergence of ESG Ratings [Corporate social responsibility and firm risk: theory and empirical evidence]," Review of Finance, European Finance Association, vol. 26(6), pages 1315-1344.
    17. Giovanni Trovato & Marco Alfò, 2006. "Credit Rationing and the Financial Structure of Italian Small and Medium Enterprises," Journal of Applied Economics, Taylor & Francis Journals, vol. 9(1), pages 167-184, May.
    18. Ghosh, Saibal, 2023. "Does climate legislation matter for bank lending? Evidence from MENA countries," Ecological Economics, Elsevier, vol. 212(C).
    19. Aaron K. Chatterji & Rodolphe Durand & David I. Levine & Samuel Touboul, 2016. "Do ratings of firms converge? Implications for managers, investors and strategy researchers," Strategic Management Journal, Wiley Blackwell, vol. 37(8), pages 1597-1614, August.
    20. Harry X. Wu & Esther Y. P. Shea & Alice Shiu, 2015. "Has China's fast industrial growth been efficient? An industry-level investigation with a newly constructed data set," Applied Economics, Taylor & Francis Journals, vol. 47(40), pages 4275-4298, August.
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    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

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