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Environmental Efficiency of European Industries across Sectors and Countries

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  • Stergiou, Eirini

Abstract

Green growth is recognized as the fundamental development strategy in Europe due to the immense pressure of environmental pollution, economic growth and energy usage. In this study, a non-radial directional distance function is used to measure environmental efficiency (ENE) of 54 industries from 28 European countries across the three sectors of an economy over the 2000-2014 period. The complexity of heterogeneity is examined by incorporating the metafrontier approach under distinct group frontiers. The results reveal that industries present higher levels of environmental efficiency within their sectors while manufacturing industries achieved the lowest progress in environmental efficiency. Thus, it is critical to introduce and implement sector-oriented policies rather than common guidelines for all European countries.

Suggested Citation

  • Stergiou, Eirini, 2022. "Environmental Efficiency of European Industries across Sectors and Countries," MPRA Paper 114635, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:114635
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    References listed on IDEAS

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    1. Long, Xingle & Wu, Chao & Zhang, Jijian & Zhang, Jing, 2018. "Environmental efficiency for 192 thermal power plants in the Yangtze River Delta considering heterogeneity: A metafrontier directional slacks-based measure approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3962-3971.
    2. 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.
    3. Kounetas, Konstantinos, 2015. "Heterogeneous technologies, strategic groups and environmental efficiency technology gaps for European countries," Energy Policy, Elsevier, vol. 83(C), pages 277-287.
    4. repec:clg:wpaper:2008-02 is not listed on IDEAS
    5. 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.
    6. Valadkhani, Abbas & Roshdi, Israfil & Smyth, Russell, 2016. "A multiplicative environmental DEA approach to measure efficiency changes in the world's major polluters," Energy Economics, Elsevier, vol. 54(C), pages 363-375.
    7. Kumar, Surender & Khanna, Madhu, 2009. "Measurement of environmental efficiency and productivity: a cross-country analysis," Environment and Development Economics, Cambridge University Press, vol. 14(4), pages 473-495, August.
    8. Zofio, Jose L. & Prieto, Angel M., 2001. "Environmental efficiency and regulatory standards: the case of CO2 emissions from OECD industries," Resource and Energy Economics, Elsevier, vol. 23(1), pages 63-83, January.
    9. Zhu, Weiwei & Yu, Yu & Sun, Panpan, 2018. "Data envelopment analysis cross-like efficiency model for non-homogeneous decision-making units: The case of United States companies’ low-carbon investment to attain corporate sustainability," European Journal of Operational Research, Elsevier, vol. 269(1), pages 99-110.
    10. Allevi, E. & Basso, A. & Bonenti, F. & Oggioni, G. & Riccardi, R., 2019. "Measuring the environmental performance of green SRI funds: A DEA approach," Energy Economics, Elsevier, vol. 79(C), pages 32-44.
    11. Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "Measuring environmental performance under different environmental DEA technologies," Energy Economics, Elsevier, vol. 30(1), pages 1-14, January.
    12. Halkos, George E. & Tzeremes, Nickolaos G., 2011. "A conditional nonparametric analysis for measuring the efficiency of regional public healthcare delivery: An application to Greek prefectures," Health Policy, Elsevier, vol. 103(1), pages 73-82.
    13. Arik Levinson & M. Scott Taylor, 2008. "Unmasking The Pollution Haven Effect," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 49(1), pages 223-254, February.
    14. Fare, R. & Grosskopf, S. & Hernandez-Sancho, F., 2004. "Environmental performance: an index number approach," Resource and Energy Economics, Elsevier, vol. 26(4), pages 343-352, December.
    15. Zeng, Dao-Zhi & Zhao, Laixun, 2009. "Pollution havens and industrial agglomeration," Journal of Environmental Economics and Management, Elsevier, vol. 58(2), pages 141-153, September.
    16. Lee, Hyoungsuk & Choi, Yongrok, 2018. "Greenhouse gas performance of Korean local governments based on non-radial DDF," Technological Forecasting and Social Change, Elsevier, vol. 135(C), pages 13-21.
    17. George Halkos & Nickolaos Tzeremes, 2014. "Measuring the effect of Kyoto protocol agreement on countries’ environmental efficiency in CO 2 emissions: an application of conditional full frontiers," Journal of Productivity Analysis, Springer, vol. 41(3), pages 367-382, June.
    18. George Battese & D. Rao & Christopher O'Donnell, 2004. "A Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps for Firms Operating Under Different Technologies," Journal of Productivity Analysis, Springer, vol. 21(1), pages 91-103, January.
    19. Wang, H. & Zhou, P. & Zhou, D.Q., 2013. "Scenario-based energy efficiency and productivity in China: A non-radial directional distance function analysis," Energy Economics, Elsevier, vol. 40(C), pages 795-803.
    20. Zhou, P. & Ang, B.W. & Wang, H., 2012. "Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach," European Journal of Operational Research, Elsevier, vol. 221(3), pages 625-635.
    21. Chambers, Robert G. & Chung, Yangho & Fare, Rolf, 1996. "Benefit and Distance Functions," Journal of Economic Theory, Elsevier, vol. 70(2), pages 407-419, August.
    22. Kellenberg, Derek K., 2009. "An empirical investigation of the pollution haven effect with strategic environment and trade policy," Journal of International Economics, Elsevier, vol. 78(2), pages 242-255, July.
    23. Stergiou, Eirini & Kounetas, Konstantinos, 2022. "Heterogeneity, spillovers and eco-efficiency of European industries under different pollutants’ scenarios. Is there a definite direction?," Ecological Economics, Elsevier, vol. 195(C).
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    More about this item

    Keywords

    Environmental efficiency; Directional distance function; Metafrontier; Heterogeneity; European industries;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • D29 - Microeconomics - - Production and Organizations - - - Other
    • L23 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Organization of Production
    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics

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