欢迎访问北京大学经济学院国家资源研究中心

李虹:Energy efficiency analysis on Chinese industrial sectors

来源:本站      发布时间:2014-02-17

  Energy efficiency analysis on Chinese industrial sectors: an improved Super-SBM model with undesirable outputs Hong Li a,*, Jin-feng Shi b a School of Economics, Peking University, Beijing 100871, China School of Management, Shanxi University, Taiyuan, Shanxi 030006, China

  

  In this article we proposed an improved Super-SBM model dealing with undesirable outputs under the weak disposability assumption of undesirable outputs. Energy efficiencies of various industrial sectors in China from 2001 to 2010 are measured based on this model, and the influencing factors for energy efficiency are explored by Tobit regression model. Empirical results show that, during “The Eleventh Five-year Plan”, energy efficiency of each industrial sector and category has been improved to various extents, but overall efficiency variations among industries have not taken on a convergence trend. Light industry has achieved the highest energy efficiency, followed by heavy industry; while the energy efficiency of the latter has a faster growth rate compared with that of light industry; the gap between these two industries’ energy efficiency has been reduced. Energy efficiency variation presents an obvious feature of industrial economy transformation. The analysis of influencing factors show that enterprise scale, industry concentration, industrial property rights structure, and government regulation all affect energy efficiency apparently, but their effects vary across industries. Lastly, based on research results, this paper gives some policy recommendations on improving energy efficiency of the industrial sectors in China.

  

  Energy efficiency analysis on Chinese industrial sectors_an improved Super-SBM model with undesirable outputs.pdf


All Right Reserved © 北京大学国家资源经济研究中心2015