Allocative efficiency of carbon emission allowances among sectors in China

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.

[1]  Liang Liang,et al.  A DEA-based approach for fair reduction and reallocation of emission permits , 2013, Math. Comput. Model..

[2]  Kaoru Tone,et al.  An epsilon-based measure of efficiency in DEA - A third pole of technical efficiency , 2009, Eur. J. Oper. Res..

[3]  Dequn Zhou,et al.  Optimal path for controlling CO2 emissions in China: A perspective of efficiency analysis , 2014 .

[4]  Per-Olov Marklund,et al.  What is driving the EU Burden-sharing Agreement: efficiency or equity? , 2007, Journal of environmental management.

[5]  José Goldemberg,et al.  Communication The evolution of the "carbonization index" in developing countries , 1999 .

[6]  B. W. Ang,et al.  Is the energy intensity a less useful indicator than the carbon factor in the study of climate change , 1999 .

[7]  Rolf Färe,et al.  Technological change and timing reductions in greenhouse gas emissions , 2012 .

[8]  Yue-Jun Zhang,et al.  Carbon emission quota allocation among China’s industrial sectors based on the equity and efficiency principles , 2017, Ann. Oper. Res..

[9]  J. Sun The decrease of CO2 emission intensity is decarbonization at national and global levels , 2005 .

[10]  Yi-Ming Wei,et al.  Regional allocation of CO2 emissions allowance over provinces in China by 2020 , 2013 .

[11]  Osman Zaim,et al.  Environmental efficiency in carbon dioxide emissions in the OECD: A non-parametric approach , 2000 .

[12]  Sebastián Lozano,et al.  Centralised reallocation of emission permits using DEA , 2009, Eur. J. Oper. Res..

[13]  Y. Geng,et al.  Efficient allocation of CO2 emissions in China: a zero sum gains data envelopment model , 2016 .

[14]  Y. Kaya,et al.  Environment, Energy and Economy: Strategies for Sustainability , 1999 .

[15]  B. W. Ang,et al.  Total factor carbon emission performance: A Malmquist index analysis , 2010 .

[16]  Marcos Pereira Estellita Lins,et al.  Modelling undesirable outputs with zero sum gains data envelopment analysis models , 2008, J. Oper. Res. Soc..

[17]  José Luis Zofío,et al.  Environmental efficiency and regulatory standards: the case of CO2 emissions from OECD industries , 2001 .

[18]  Chu Wei,et al.  Regional allocation of carbon dioxide abatement in China , 2019 .

[19]  Kaoru Tone,et al.  A slacks-based measure of efficiency in data envelopment analysis , 1997, Eur. J. Oper. Res..

[20]  Yung-Ho Chiu,et al.  Pareto improvement through a reallocation of carbon emission quotas , 2015 .

[21]  Zuoren Sun,et al.  Optimal Path for Controlling Sectoral CO 2 Emissions Among China’s Regions: A Centralized DEA Approach , 2015 .

[22]  Toshihiko Masui,et al.  Achieving Copenhagen target through carbon emission trading: Economic impacts assessment in Guangdong Province of China , 2015 .

[23]  Ray Y. Zhong,et al.  Allocation of emission permits using DEA: centralised and individual points of view , 2014 .

[24]  Yung-Ho Chiu,et al.  An Efficiency Evaluation of the EU’s Allocation of Carbon Emission Allowances , 2015 .

[25]  Abraham Charnes,et al.  Measuring the efficiency of decision making units , 1978 .