Evaluation of potential reductions in carbon emissions in Chinese provinces based on environmental DEA
AbstractThe estimation of CO2 emissions reduction potential in China is an important issue for China's energy policy. In this paper, data envelopment analysis (DEA) is used to evaluate the carbon emission performance of 29 Chinese provincial administrative regions (Tibet and Taiwan are not included since of data lack) by computing potential carbon emission reductions for energy conservation technology (ECT) and energy structural adjustment (ESA). The results reveal that ECT promotion and reductions in inter-regional technological disparity would be effective in reducing carbon emissions in technically inefficient regions. However, most of the provincial administrative regions investigated have an irrational energy structure and exhibit an overdependence on coal consumption, so ESA is required to reduce carbon emissions. Therefore, enormous emission reductions could be achieved by promoting ECT, developing renewable energy, increasing the proportion of non-fossil energy, delivering low-carbon energy and applying ESA. Based on the estimation, some policy implications and suitable suggestions are proposed for policy makers.
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Bibliographic InfoArticle provided by Elsevier in its journal Energy Policy.
Volume (Year): 39 (2011)
Issue (Month): 5 (May)
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Web page: http://www.elsevier.com/locate/enpol
Environmental DEA Potential carbon emission reduction Energy conservation technology;
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- Fan, Ying & Liu, Lan-Cui & Wu, Gang & Tsai, Hsien-Tang & Wei, Yi-Ming, 2007. "Changes in carbon intensity in China: Empirical findings from 1980-2003," Ecological Economics, Elsevier, vol. 62(3-4), pages 683-691, May.
- Ang, B. W., 1999. "Is the energy intensity a less useful indicator than the carbon factor in the study of climate change?," Energy Policy, Elsevier, vol. 27(15), pages 943-946, December.
- Osman Zaim & Fatma Taskin, 2000. "A Kuznets Curve in Environmental Efficiency: An Application on OECD Countries," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 17(1), pages 21-36, September.
- Tol, Richard S.J. & Pacala, Stephen W. & Socolow, Robert H., 2009.
"Understanding Long-Term Energy Use and Carbon Dioxide Emissions in the USA,"
Journal of Policy Modeling,
Elsevier, vol. 31(3), pages 425-445, May.
- Richard S.J. Tol & Stephen W. Pacala & Robert H. Socolow, 2006. "Understanding Long-Term Energy Use And Carbon Dioxide Emissions In The Usa," Working Papers FNU-100, Research unit Sustainability and Global Change, Hamburg University, revised Mar 2006.
- Richard S.J. Tol & Stephen W. Pacala & Robert Socolow, 2006. "Understanding Long-Term Energy Use and Carbon Dioxide Emissions in the Usa," Working Papers 2006.107, Fondazione Eni Enrico Mattei.
- 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.
- 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.
- 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.
- Francesc Hernandez-Sancho & Andres Picazo-Tadeo & Ernest Reig-Martinez, 2000. "Efficiency and Environmental Regulation," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 15(4), pages 365-378, April.
- 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.
- Sun, J. W., 2005. "The decrease of CO2 emission intensity is decarbonization at national and global levels," Energy Policy, Elsevier, vol. 33(8), pages 975-978, May.
- 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.
- Gale Boyd & George Tolley & Joseph Pang, 2002. "Plant Level Productivity, Efficiency, and Environmental Performance of the Container Glass Industry," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 23(1), pages 29-43, September.
- 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.
- Zhou, Peng & Poh, Kim Leng & Ang, Beng Wah, 2007. "A non-radial DEA approach to measuring environmental performance," European Journal of Operational Research, Elsevier, vol. 178(1), pages 1-9, April.
- Zhou, P. & Ang, B.W., 2008. "Linear programming models for measuring economy-wide energy efficiency performance," Energy Policy, Elsevier, vol. 36(8), pages 2901-2906, August.
- Wang, Q.W. & Zhou, P. & Shen, N. & Wang, S.S., 2013. "Measuring carbon dioxide emission performance in Chinese provinces: A parametric approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 324-330.
- Halkos, George E. & Tzeremes, Nickolaos G., 2013. "A conditional directional distance function approach for measuring regional environmental efficiency: Evidence from UK regions," European Journal of Operational Research, Elsevier, vol. 227(1), pages 182-189.
- Wu, Jie & An, Qingxian & Xiong, Beibei & Chen, Ya, 2013. "Congestion measurement for regional industries in China: A data envelopment analysis approach with undesirable outputs," Energy Policy, Elsevier, vol. 57(C), pages 7-13.
- Lee, Seong Kon & Mogi, Gento & Hui, K.S., 2013. "A fuzzy analytic hierarchy process (AHP)/data envelopment analysis (DEA) hybrid model for efficiently allocating energy R&D resources: In the case of energy technologies against high oil prices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 347-355.
- Halkos, George & Tzeremes, Nickolaos, 2011. "Regional environmental efficiency and economic growth: NUTS2 evidence from Germany, France and the UK," MPRA Paper 33698, University Library of Munich, Germany.
- Lee, Myunghun & Zhang, Ning, 2012. "Technical efficiency, shadow price of carbon dioxide emissions, and substitutability for energy in the Chinese manufacturing industries," Energy Economics, Elsevier, vol. 34(5), pages 1492-1497.
- Halkos, George & Tzeremes, Nickolaos, 2012. "A conditional directional distance function approach for measuring regional environmental efficiency: Evidence from the UK regions," MPRA Paper 38147, University Library of Munich, Germany.
- Chen, Chien-Ming, 2013. "A critique of non-parametric efficiency analysis in energy economics studies," Energy Economics, Elsevier, vol. 38(C), pages 146-152.
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