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.

has been cited by the following article:

• TITLE: Study on Carbon Emission Efficiency of China’s Industrial Industry and Analysis of Its Influencing Factors

  AUTHORS: Jie Yi

  KEYWORDS: Industrial Carbon Emissions, Industry Carbon Emissions Efficiency, Super Efficiency DEA

  JOURNAL NAME: Low Carbon Economy, Vol.8 No.1, March 31, 2017

  ABSTRACT: Based on the careful calculation of the carbon dioxide emissions from 1996 to 2014 in China’s 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 China’s 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.