LCE  Vol.8 No.1 , March 2017
Study on Carbon Emission Efficiency of China’s Industrial Industry and Analysis of Its Influencing Factors
Abstract: Based on the careful calculation of the carbon dioxide emissions from 1996 to 2014 in Chinas industrial sector, the efficiency of all-element carbon emissions in 35 industrial sectors was measured by the super-efficiency DEA method. Finally, this paper uses the Tobit model to explore the main factors that cause the change of carbon emission efficiency, and grasp the influence direction and influence degree of these factors on the carbon emission efficiency, and put forward some suggestions for these influencing factors. Through the study, this article found that carbon emissions of Chinas industrial sector grew rapidly, but in recent years has become convergence. The overall level of carbon efficiency in the industrial sector is low and there is a large emission reduction. Those industries with high degree of openness, adequate funding for R&D, and a certain scale have a higher carbon efficiency.
Cite this paper: Yi, J. (2017) Study on Carbon Emission Efficiency of China’s Industrial Industry and Analysis of Its Influencing Factors. Low Carbon Economy, 8, 20-30. doi: 10.4236/lce.2017.81002.

[1]   Kaya, Y. and Yokobori, K. (1993) Global Environment, Energy, and Economic Development Held at the United Nations University. Tokyo..

[2]   Mielnik, O. and Goldemberg, J. (1999) Communication The Evolution of the “Carbonization Index” in Developing Countries. Energy Policy, 27, 307-308.

[3]   Fare, R., Grosskopf, S., Lovell, C.A.K. and Pasurka, C. (1989) Multilateral Productivity Comparisons When Some Outputs Are Undesirable: A Nonparametric Approach. The Review of Economics and Statistics, 71, 90-98.

[4]   Hailu, A. (2003) Nonparametric Productivity Analysis with Undesirable Outputs: Reply. American Journal of Agricultural Economics, 85, 1075-1077.

[5]   Ramanathan, R. (2006) A Multi-Factor Efficiency Perspective to the Relationships among World GDP, Energy Consumption and Carbon Dioxide Emissions. Technological Forecasting & Social Change, 73, 483-494.

[6]   Mandil, C. (2007) Tracking Industrial Energy Efficiency and CO2 Emissions. International Energy Agency, Paris, 45-68.

[7]   Kortelainen, M. (2008) Dynamic Environmental Performance Analysis: A Malmquist Index Approach. Ecological Economics, 64, 701-715.

[8]   Zhou, P., Ang, B.W. and Han, J.Y. (2010) Total Factor Carbon Emission Performance: A Malmquist Index Analysis. Energy Economics, 32, 194-201.

[9]   Maradan, D. and Vassiliev, A. (2005) Marginal Costs of Carbon Dioxide Abatement: Empirical Evidence from Cross-Country Analysis. Swiss Journal of Economics & Statistics, 141, 377-410.

[10]   Marklund, P.O. and Samakovlis, E. (2007) What Is Driving the EU Burden-Sharing Agreement: Efficiency or Equity? Journal of Environmental Management, 85, 317-329.

[11]   Hu, A., Zheng, J., Gao, Y., et al. (2008) Ranking of Provincial Technical Efficiency (1999-2005) Taking into Account Environmental Factors. Economics: Quarterly, No. 3, 933-960.

[12]   Chen, S. (2009) Energy Consumption, Carbon Dioxide Emissions and Sustainable Development of Chinese Industry. Economic Research, No. 4, 41-55.

[13]   Xi, J. (2013) Regional Dynamic Difference, Divergence and Variability of Carbon Emission Efficiency in China. Journal of Geographical Research and Development, 32, 83-87.

[14]   Wu, X., Zhang, J., Tian, Y., et al. (2014) Study on Agricultural Carbon Emission in China’s Provinces: Measurement, Efficiency and Influencing Factors—Based on DEA-Malmquist Index Decomposition and Tobit Model. Resource Science, 36, 129-138.

[15]   Chen, S. (2011) China’s Industrial Sector Statistics Estimates: 1980-2008. Economics, No. 2, 735-776.

[16]   Zhang, J., Wu, G. and Zhang, J. (2004) China’s Inter-Provincial Material Capital Stock Estimates: 1952-2000. Economic Research, No. 10, 35-44.

[17]   Zhang, J. and Zhang, Y. (2003) Re-Estimation of China’s Capital Stock K. Economic Research, No. 7, 35-43.