Allocative efficiency of carbon emission allowances among sectors in China

• Autorzy: Chen L. , He F. , Wang J.
• Języki publikacji: EN

Abstrakty

EN

With rapid economic development, energy consumption and environmental pollution have become increasingly prominent, making clear emission reduction targets necessary. Therefore, this paper forecasts input and output variables for China’s six industries during the 13th Five-Year Plan by using an EBMDEA model to analyze the distribution efficiency of the industries. Moreover, the ZSG-DEA model is used to optimize carbon emission quotas and establish a reasonable distribution plan. The results show that among the six major sectors in China, the initial allocation of carbon emission rights has relatively low DEA efficiency, with significant efficiency differences among sectors. Only agriculture, forestry, animal husbandry, and fisheries achieved an efficient initial allocation of carbon emission rights, whereas industry and transportation, warehousing, and the postal service exhibited low allocative efficiency. The industrial sector has the greatest room for adjustment and its reduction can be compensated for through an increase in emissions from the other sectors so as to keep total carbon emissions constant. Based on the conclusions of the study, we make suggestions for various stakeholders.

• Wydawca: -
• Czasopismo: Polish Journal of Environmental Studies
• Rocznik: 2018
• Tom: 27
• Numer: 2
• Opis fizyczny: p.557-564,fig.,ref.

Twórcy

autor

Chen L.

• School of Economics and Management, Tsinghua University, Beijing, 100084, China
• Donlinks School of Economics and Management, University of Science and Technology Beijing, Beijing, 100083, P.R. China

autor

He F.

• Donlinks School of Economics and Management, University of Science and Technology Beijing, Beijing, 100083, P.R. China

autor

Wang J.

• Donlinks School of Economics and Management, University of Science and Technology Beijing, Beijing, 100083, P.R. China

Bibliografia

• 1. Kaya Y., Yokobori K. Environment, Energy, and Economy: Strategies for Sustainability; United Nations University Press, 1997.
• 2. Sun J.W. The decrease of CO₂, emission intensity is decarbonization at national and global levels. Energy Policy. 33 (8), 975, 2005.
• 3. Mielnik O., Goldemberg J. Communication The evolution of the “carbonization index” in developing countries. Energy Policy. 27 (5), 307, 1999.
• 4. Ang B.W. Is the energy intensity a less useful indicator than the carbon factor in the study of climate change?. Energy Policy. 27 (15), 943, 1999.
• 5. Zhou P., Ang B.W., Han J.Y. Total factor carbon emission performance: A Malmquist index analysis. Energy Econ. 32 (1), 194, 2010.
• 6. Zaim O., Taskin F. Environmental efficiency in carbon dioxide emissions in the OECD: A non-parametric approach. J. Environ. Manag. 58 (2), 95, 2000.
• 7. Zofı́O J.L., Prieto A.M. Environmental efficiency and regulatory standards: the case of CO₂, emissions from OECD industries. Res. Energy Econ. 23 (1), 63, 2001.
• 8. Marklund P.O., Samakovlis E. What is driving the EU Burden-sharing Agreement: efficiency or equity? J. Environ. Manag. 85 (2), 317, 2007.
• 9. Gomes E.G., Lins M.P.E. Modelling undesirable outputs with zero sum gains data envelopment analysis models. J. Oper. Res. Soc. 59, 616, 2008.
• 10. Färe R., Grosskopf S., Margaritis D., Weber W.L. Technological change and timing reductions in greenhouse gas emissions. J. Prod. Anal. 37 (3), 205, 2012.
• 11. Chiu Y.H., Lin J.C., Su, W.N., Liu J.K. An efficiency evaluation of the EU’s allocation of carbon emission allowances. Energy Sources Part B Econ. Plann. Policy. 10, 192, 2015.
• 12. Wu H.Q., Du S.H.F., Liang L., Zhou Y.F. A DEA-based approach for fair reduction and reallocation of emission permits. Math. Comput. Model. 58, 1095, 2013.
• 13. Pang R.Z., Deng Z.Q., Chiu Y.H. Pareto improvement through a reallocation of carbon emission quotas. Renew. Sust. Energ. Rev. 50, 419, 2015.
• 14. Wei C., Ni J.L., Du L.M. Regional allocation of carbon dioxide abatement in China. China Econ. Rev. 23, 552, 2012.
• 15. Wang K., Wei Y.M., Zhang X., Yu S. Regional allocation of CO₂ emissions allowance over provinces in China by 2020. Energy Policy. 54, 214, 2013.
• 16. Zhou P., Sun Z.R., Zhou D.Q. Optimal path for controlling CO₂ emissions in China: A perspective of efficiency analysis. Energy Econ. 45, 99, 2014.
• 17. Wang P., Dai H.C., Ren S.Y., Zhao D.Q., Masui T. Achieving Copenhagen target through carbon emission trading: Economic impacts assessment in Guangdong province of China. Energy. 79, 212, 2015.
• 18. Miao Z., Geng Y., Sheng J. Efficient allocation of CO₂, emissions in China: A zero sum gains data envelopment model. J. Clean. Prod. 112, 4144, 2015.
• 19. Lozano S., Villa G., Brannlund R. Centralised reallocation of emission permits using DEA. Eur. J. Oper. Res. 193, 752, 2009.
• 20. Sun J., Wu J., Liang L., Zhong R.Y., Huang G.Q. Allocation of emission permits using DEA: Centralised and individual points of view. Int. J. Prod. Res. 52 (2), 419, 2014.
• 21. Sun Z., Luo R., Zhou D. Optimal path for controlling sectoral CO₂ emissions among China’s regions: a centralized DEA approach. Sustainability. 8, 28, 2015 .
• 22. Zhang Y.J., Hao J.F. Carbon emission quota allocation among China’s industrial sectors based on the equity and efficiency principles. Ann. Oper. Res. 1, 2016.
• 23. Charnes A., Cooper W.W., Rhodes E. Measuring the efficiency of decision making units. Eur. J. Oper. Res. 2, 429, 1978.
• 24. Tone K. A slacks-based measure of efficiency in data envelopment analysis. Eur. J. Oper. Res. 130, 498, 2001.
• 25. Tone K., Tsutsui M. An epsilon-based measure of efficiency in DEA – A third pole of technical efficiency. Eur. J. Oper. Res. 200, 901, 2010.
• 26. China Statistical Yearbook. 2015. Available online: http://www.stats.gov.cn/tjsj/ndsj/2015/indexeh.htm
• 27. China Statistical Yearbook. 2014. Available online: http://www.stats.gov.cn/tjsj/ndsj/2014/indexeh.htm
• 28. China Statistical Yearbook. 2013. Available online: http://www.stats.gov.cn/tjsj/ndsj/2013/indexeh.htm
• 29. China Statistical Yearbook. 2012. Available online: http://www.stats.gov.cn/tjsj/ndsj/2012/indexeh.htm
• 30. China Statistical Yearbook. 2011. Available online: http://www.stats.gov.cn/tjsj/ndsj/2011/indexeh.htm
• 31. China Statistical Yearbook. 2010. Available online: http://www.stats.gov.cn/tjsj/ndsj/2010/indexeh.htm

Identyfikatory

DOI

10.15244/pjoes/75821