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European industrial eco-efficiency under different pollutants' scenarios and heterogeneity structures. Is there a definite direction?

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  • Kounetas, Konstantinos
  • Stergiou, Eirini

Abstract

Eco-efficiency has intensified the attention of policymakers in the last decades as the ability to create more goods and services with less impact on the environment consists an instrument towards sustainability. In this paper we utilize data of 14 industries from 27 European countries from 1995 to 2011 to estimate distinct objectives of economic and ecological performance by utilizing directional distance functions under a metafrontier framework. Our results reveal that the existence of a unified technology set causes large differences in the industrial eco-efficiency levels while energy intensive industries can be characterized as the most eco-inefficient .Although the speed of eco-efficiency convergence increases throughout the years, the case of CO2 emissions presents an erratic behavior compared to the other pollutants. Thus, a decomposition of industrial CO2 emissions can be considered as a further subject of research in our study in order to identify the drivers of this change through time.

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  • Kounetas, Konstantinos & Stergiou, Eirini, 2020. "European industrial eco-efficiency under different pollutants' scenarios and heterogeneity structures. Is there a definite direction?," MPRA Paper 98583, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:98583
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    as
    1. Ang, B. W. & Pandiyan, G., 1997. "Decomposition of energy-induced CO2 emissions in manufacturing," Energy Economics, Elsevier, vol. 19(3), pages 363-374, July.
    2. Färe, Rolf & Grosskopf, Shawna, 2010. "Directional distance functions and slacks-based measures of efficiency: Some clarifications," European Journal of Operational Research, Elsevier, vol. 206(3), pages 702-702, November.
    3. Ang, B.W., 2015. "LMDI decomposition approach: A guide for implementation," Energy Policy, Elsevier, vol. 86(C), pages 233-238.
    4. Martin Carree & Luuk Klomp, 1997. "Testing The Convergence Hypothesis: A Comment," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 683-686, November.
    5. Kounetas, Konstantinos, 2015. "Heterogeneous technologies, strategic groups and environmental efficiency technology gaps for European countries," Energy Policy, Elsevier, vol. 83(C), pages 277-287.
    6. Picazo-Tadeo, Andrés J. & Beltrán-Esteve, Mercedes & Gómez-Limón, José A., 2012. "Assessing eco-efficiency with directional distance functions," European Journal of Operational Research, Elsevier, vol. 220(3), pages 798-809.
    7. Mika Kortelainen & Timo Kuosmanen, 2007. "Eco-efficiency analysis of consumer durables using absolute shadow prices," Journal of Productivity Analysis, Springer, vol. 28(1), pages 57-69, October.
    8. Jung, Seok & An, Kyoung-Jin & Dodbiba, Gjergj & Fujita, Toyohisa, 2012. "Regional energy-related carbon emission characteristics and potential mitigation in eco-industrial parks in South Korea: Logarithmic mean Divisia index analysis based on the Kaya identity," Energy, Elsevier, vol. 46(1), pages 231-241.
    9. Treffers, D. J. & Faaij, A. P. C. & Spakman, J. & Seebregts, A., 2005. "Exploring the possibilities for setting up sustainable energy systems for the long term: two visions for the Dutch energy system in 2050," Energy Policy, Elsevier, vol. 33(13), pages 1723-1743, September.
    10. Stefanie Hellweg & Gabor Doka & Göran Finnveden & Konrad Hungerbühler, 2005. "Assessing the Eco‐efficiency of End‐of‐Pipe Technologies with the Environmental Cost Efficiency Indicator," Journal of Industrial Ecology, Yale University, vol. 9(4), pages 189-203, October.
    11. Abramovitz, Moses, 1986. "Catching Up, Forging Ahead, and Falling Behind," The Journal of Economic History, Cambridge University Press, vol. 46(2), pages 385-406, June.
    12. 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.
    13. Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
    14. Richard Schmalensee & Thomas M. Stoker & Ruth A. Judson, 1998. "World Carbon Dioxide Emissions: 1950-2050," The Review of Economics and Statistics, MIT Press, vol. 80(1), pages 15-27, February.
    15. Casu, Barbara & Ferrari, Alessandra & Girardone, Claudia & Wilson, John O.S., 2016. "Integration, productivity and technological spillovers: Evidence for eurozone banking industries," European Journal of Operational Research, Elsevier, vol. 255(3), pages 971-983.
    16. Timo Kuosmanen & Mika Kortelainen, 2005. "Measuring Eco‐efficiency of Production with Data Envelopment Analysis," Journal of Industrial Ecology, Yale University, vol. 9(4), pages 59-72, October.
    17. Mariam Camarero & Juana Castillo & Andrés Picazo-Tadeo & Cecilio Tamarit, 2013. "Eco-Efficiency and Convergence in OECD Countries," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 55(1), pages 87-106, May.
    18. Kontolaimou, Alexandra & Tsekouras, Kostas, 2010. "Are cooperatives the weakest link in European banking? A non-parametric metafrontier approach," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1946-1957, August.
    19. Durlauf, Steven N. & Quah, Danny T., 1999. "The new empirics of economic growth," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 4, pages 235-308, Elsevier.
    20. Kristina Dahlström & Paul Ekins, 2005. "Eco‐efficiency Trends in the UK Steel and Aluminum Industries," Journal of Industrial Ecology, Yale University, vol. 9(4), pages 171-188, October.
    21. Ang, B. W., 2004. "Decomposition analysis for policymaking in energy:: which is the preferred method?," Energy Policy, Elsevier, vol. 32(9), pages 1131-1139, June.
    22. Managi, Shunsuke & Kaneko, Shinji, 2009. "Environmental performance and returns to pollution abatement in China," Ecological Economics, Elsevier, vol. 68(6), pages 1643-1651, April.
    23. Mercedes Beltrán-Esteve & José Gómez-Limón & Andrés Picazo-Tadeo & Ernest Reig-Martínez, 2014. "A metafrontier directional distance function approach to assessing eco-efficiency," Journal of Productivity Analysis, Springer, vol. 41(1), pages 69-83, February.
    24. 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.
    25. Kounetas, Konstantinos Elias, 2018. "Energy consumption and CO2 emissions convergence in European Union member countries. A tonneau des Danaides?," Energy Economics, Elsevier, vol. 69(C), pages 111-127.
    26. World Commission on Environment and Development,, 1987. "Our Common Future," OUP Catalogue, Oxford University Press, number 9780192820808.
    27. Quah, Danny, 1993. "Empirical cross-section dynamics in economic growth," European Economic Review, Elsevier, vol. 37(2-3), pages 426-434, April.
    28. Tsekouras, Kostas & Chatzistamoulou, Nikos & Kounetas, Kostas, 2017. "Productive performance, technology heterogeneity and hierarchies: Who to compare with whom," International Journal of Production Economics, Elsevier, vol. 193(C), pages 465-478.
    29. Roland W. Scholz & Arnim Wiek, 2005. "Operational Eco‐efficiency: Comparing Firms' Environmental Investments in Different Domains of Operation," Journal of Industrial Ecology, Yale University, vol. 9(4), pages 155-170, October.
    30. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    31. Ma, Chunbo & Stern, David I., 2008. "China's changing energy intensity trend: A decomposition analysis," Energy Economics, Elsevier, vol. 30(3), pages 1037-1053, May.
    32. Ang, B. W. & Liu, F. L. & Chew, E. P., 2003. "Perfect decomposition techniques in energy and environmental analysis," Energy Policy, Elsevier, vol. 31(14), pages 1561-1566, November.
    33. Fare, Rolf & Knox Lovell, C. A., 1978. "Measuring the technical efficiency of production," Journal of Economic Theory, Elsevier, vol. 19(1), pages 150-162, October.
    34. Korhonen, Pekka J. & Luptacik, Mikulas, 2004. "Eco-efficiency analysis of power plants: An extension of data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 154(2), pages 437-446, April.
    35. R. G. Chambers & Y. Chung & R. Färe, 1998. "Profit, Directional Distance Functions, and Nerlovian Efficiency," Journal of Optimization Theory and Applications, Springer, vol. 98(2), pages 351-364, August.
    36. Zhang, Bing & Bi, Jun & Fan, Ziying & Yuan, Zengwei & Ge, Junjie, 2008. "Eco-efficiency analysis of industrial system in China: A data envelopment analysis approach," Ecological Economics, Elsevier, vol. 68(1-2), pages 306-316, December.
    37. Joachim Schleich & Wolfgang Eichhammer & Ulla Boede & Frank Gagelmann & Eberhard Jochem & Barbara Schlomann & Hans-Joachim Ziesing, 2001. "Greenhouse gas reductions in Germany-lucky strike or hard work?," Climate Policy, Taylor & Francis Journals, vol. 1(3), pages 363-380, September.
    38. Sagar, Ambuj D. & van der Zwaan, Bob, 2006. "Technological innovation in the energy sector: R&D, deployment, and learning-by-doing," Energy Policy, Elsevier, vol. 34(17), pages 2601-2608, November.
    39. Tsekouras, Kostas & Chatzistamoulou, Nikos & Kounetas, Kostas & Broadstock, David C., 2016. "Spillovers, path dependence and the productive performance of European transportation sectors in the presence of technology heterogeneity," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 261-274.
    40. Štreimikienė, Dalia & Balezentis, Tomas, 2016. "Kaya identity for analysis of the main drivers of GHG emissions and feasibility to implement EU “20–20–20” targets in the Baltic States," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1108-1113.
    41. Carraro, Carlo & Gerlagh, Reyer & Zwaan, Bob van der, 2003. "Endogenous technical change in environmental macroeconomics," Resource and Energy Economics, Elsevier, vol. 25(1), pages 1-10, February.
    42. 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.
    43. Dyckhoff, H. & Allen, K., 2001. "Measuring ecological efficiency with data envelopment analysis (DEA)," European Journal of Operational Research, Elsevier, vol. 132(2), pages 312-325, July.
    44. Färe, Rolf & Grosskopf, Shawna, 2010. "Directional distance functions and slacks-based measures of efficiency," European Journal of Operational Research, Elsevier, vol. 200(1), pages 320-322, January.
    45. 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.
    46. Rolf Färe & Shawna Grosskopf, 2000. "Theory and Application of Directional Distance Functions," Journal of Productivity Analysis, Springer, vol. 13(2), pages 93-103, March.
    47. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
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    More about this item

    Keywords

    Eco-efficiency; Metafrontier; Spillovers; Catch-up; Kaya Identity; European Industries.;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics

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