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The static and dynamic environmental efficiency of renewable energy: A Malmquist index analysis of OECD countries

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  • Woo, Chungwon
  • Chung, Yanghon
  • Chun, Dongphil
  • Seo, Hangyeol
  • Hong, Sungjun

Abstract

In recent years, renewable energy and environmental efficiency have been interesting issues for both academics and industry actors when discussing sustainable development. Against this background, the present study examines the environmental efficiency of renewable energy from the static and the dynamic perspective in 31 OECD countries, a study conducted to understand the impact of renewable energy across countries. As a non-parametric methodology, data envelopment analysis is used to measure environmental efficiency through multiple inputs and outputs. Labor, capital, and renewable energy supply are the three inputs, while GDP is the desirable output and carbon emissions are the undesirable output. To measure the dynamic environmental efficiency of renewable energy, the Malmquist productivity index is applied to estimate the average efficiency change from 2004 to 2011. The results demonstrate geographical differences in environmental efficiency across the OECD. Countries in OECD America have the highest average environmental efficiency and those in OECD Europe have the largest standard deviation. We also find that dynamic efficiency is influenced by the global financial crisis triggered in the United States. Further, we show that OECD countries implement both catch-up and frontier shift strategies to improve environmental efficiency.

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  • Woo, Chungwon & Chung, Yanghon & Chun, Dongphil & Seo, Hangyeol & Hong, Sungjun, 2015. "The static and dynamic environmental efficiency of renewable energy: A Malmquist index analysis of OECD countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 367-376.
  • Handle: RePEc:eee:rensus:v:47:y:2015:i:c:p:367-376
    DOI: 10.1016/j.rser.2015.03.070
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    as
    1. Dowaki, Kiyoshi & Mori, Shunsuke, 2005. "Biomass energy used in a sawmill," Applied Energy, Elsevier, vol. 80(3), pages 327-339, March.
    2. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    3. Chang, Young-Tae & Zhang, Ning & Danao, Denise & Zhang, Nan, 2013. "Environmental efficiency analysis of transportation system in China: A non-radial DEA approach," Energy Policy, Elsevier, vol. 58(C), pages 277-283.
    4. Uwe Schneider & Bruce McCarl, 2003. "Economic Potential of Biomass Based Fuels for Greenhouse Gas Emission Mitigation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 24(4), pages 291-312, April.
    5. Xie, Bai-Chen & Shang, Li-Feng & Yang, Si-Bo & Yi, Bo-Wen, 2014. "Dynamic environmental efficiency evaluation of electric power industries: Evidence from OECD (Organization for Economic Cooperation and Development) and BRIC (Brazil, Russia, India and China) countrie," Energy, Elsevier, vol. 74(C), pages 147-157.
    6. Bi, Gong-Bing & Song, Wen & Zhou, P. & Liang, Liang, 2014. "Does environmental regulation affect energy efficiency in China's thermal power generation? Empirical evidence from a slacks-based DEA model," Energy Policy, Elsevier, vol. 66(C), pages 537-546.
    7. Arabi, Behrouz & Munisamy, Susila & Emrouznejad, Ali & Shadman, Foroogh, 2014. "Power industry restructuring and eco-efficiency changes: A new slacks-based model in Malmquist–Luenberger Index measurement," Energy Policy, Elsevier, vol. 68(C), pages 132-145.
    8. Oggioni, G. & Riccardi, R. & Toninelli, R., 2011. "Eco-efficiency of the world cement industry: A data envelopment analysis," Energy Policy, Elsevier, vol. 39(5), pages 2842-2854, May.
    9. 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.
    10. Andreea Lorena RADU & Maria CARACOTA DIMITRIU, 2011. "EU Funded Projects: from Financial to Economic Analysis," Economia. Seria Management, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 14(1), pages 156-176, June.
    11. Zhou, P. & Ang, B.W. & Han, J.Y., 2010. "Total factor carbon emission performance: A Malmquist index analysis," Energy Economics, Elsevier, vol. 32(1), pages 194-201, January.
    12. Sueyoshi, Toshiyuki & Goto, Mika, 2013. "A comparative study among fossil fuel power plants in PJM and California ISO by DEA environmental assessment," Energy Economics, Elsevier, vol. 40(C), pages 130-145.
    13. 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.
    14. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    15. Cuesta, Rafael A. & Lovell, C.A. Knox & Zofío, José L., 2009. "Environmental efficiency measurement with translog distance functions: A parametric approach," Ecological Economics, Elsevier, vol. 68(8-9), pages 2232-2242, June.
    16. Silveira, Jose Luz & Lamas, Wendell de Queiroz & Tuna, Celso Eduardo & Villela, Iraides Aparecida de Castro & Miro, Laura Siso, 2012. "Ecological efficiency and thermoeconomic analysis of a cogeneration system at a hospital," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2894-2906.
    17. Liu, C.H. & Lin, Sue J. & Lewis, Charles, 2010. "Evaluation of thermal power plant operational performance in Taiwan by data envelopment analysis," Energy Policy, Elsevier, vol. 38(2), pages 1049-1058, February.
    18. 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.
    19. Hansen, Ulf, 1996. "Restructuring the East German energy system," Energy Policy, Elsevier, vol. 24(6), pages 553-562, June.
    20. Anthony D. Owen, 2004. "Environmental Externalities, Market Distortions and the Economics of Renewable Energy Technologies," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 127-158.
    21. Fallahi, Alireza & Ebrahimi, Reza & Ghaderi, S.F., 2011. "Measuring efficiency and productivity change in power electric generation management companies by using data envelopment analysis: A case study," Energy, Elsevier, vol. 36(11), pages 6398-6405.
    22. Song, Malin & An, Qingxian & Zhang, Wei & Wang, Zeya & Wu, Jie, 2012. "Environmental efficiency evaluation based on data envelopment analysis: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4465-4469.
    23. 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.
    24. Berg, Sigbjorn Atle & Forsund, Finn R & Jansen, Eilev S, 1992. " Malmquist Indices of Productivity Growth during the Deregulation of Norwegian Banking, 1980-89," Scandinavian Journal of Economics, Wiley Blackwell, vol. 94(0), pages 211-228, Supplemen.
    25. Sueyoshi, Toshiyuki & Goto, Mika, 2013. "DEA environmental assessment in a time horizon: Malmquist index on fuel mix, electricity and CO2 of industrial nations," Energy Economics, Elsevier, vol. 40(C), pages 370-382.
    26. Anne Held & Mario Ragwitz & Reinhard Haas, 2006. "On the Success of Policy Strategies for the Promotion of Electricity from Renewable Energy Sources in the Eu," Energy & Environment, , vol. 17(6), pages 849-868, November.
    27. 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.
    28. Edmonds, Jae & Reilly, John, 1983. "A long-term global energy- economic model of carbon dioxide release from fossil fuel use," Energy Economics, Elsevier, vol. 5(2), pages 74-88, April.
    29. 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.
    30. Halkos, George E. & Tzeremes, Nickolaos G., 2012. "Analyzing the Greek renewable energy sector: A Data Envelopment Analysis approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2884-2893.
    31. 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.
    32. Sueyoshi, Toshiyuki & Goto, Mika, 2012. "DEA environmental assessment of coal fired power plants: Methodological comparison between radial and non-radial models," Energy Economics, Elsevier, vol. 34(6), pages 1854-1863.
    33. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    34. 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.
    35. Barros, Carlos Pestana & Peypoch, Nicolas, 2008. "Technical efficiency of thermoelectric power plants," Energy Economics, Elsevier, vol. 30(6), pages 3118-3127, November.
    36. 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.
    37. Chien, Taichen & Hu, Jin-Li, 2007. "Renewable energy and macroeconomic efficiency of OECD and non-OECD economies," Energy Policy, Elsevier, vol. 35(7), pages 3606-3615, July.
    38. Cicea, Claudiu & Marinescu, Corina & Popa, Ion & Dobrin, Cosmin, 2014. "Environmental efficiency of investments in renewable energy: Comparative analysis at macroeconomic level," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 555-564.
    39. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, November.
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