Study on Energy Efficiency and Its Influencing Factors of Industrial Sectors in China

Tongtong Jiang

《管理科學與統計決策》 11卷2期 (2014/06) Pp. 33-48

https://doi.org/10.6704/JMSSD.2014.11.2.33

並列摘要

The DEA-Tobit two-step analysis method is used to calculate and analyze the energy efficiency and its influencing factors in 39 industrial subdivision sectors in China from 2003 to 2011. In the model, the input variables are capital, labor, energy, and output variables are industrial added value (desirable output), CO_2 and SO_2 (undesirable output). This paper found the following conclusions. Firstly, the industrial sectors' energy efficiency, energy pure technical efficiency and energy scale efficiency is low. Secondly, the energy efficiency has a certain degree of convergence from 2003 to 2011. Thirdly, energy pure technical efficiency has increased, while energy scale efficiency is declining with the passage of time. Lastly, the company average size and foreign investment would promote the energy efficiency in a certain extent. While total profits, property rights system and industry concentration have brought negative impact on energy efficiency in varying degrees.

並列關鍵字

Industrial Sub-sector ； Total Factor Energy Efficiency ； Undesirable Output ； Influencing Factor

參考文獻

The State Council. Comprehensive Work Plan for Energy Conservation and Emission Reduction During the 12th Five-Year Plan Period [EB/OL]. http://www.gov.cn/zwgk/2011-09/07/content_1941731.htm, 2011-09-07.

Hu, J-L.,Wang, S-C.(2006).Total-factor Energy Efficiency of Regions in China.Energy Policy.34(17),3206-3217.

Wei, C.,Shen, M.(2007).Energy Efficiency and Its Influencing Factors.Management World.8,66-76.

Li, S.,Cheng, J.(2008).Study on the Energy Efficiency of China and its Determinants.Statistical Research.25(10),18-27.

Shi, B.,Shen, K.(2008).China's Total Factor of Energy Efficiency under the Market Segmentation.The Journal of World Economy.9,49-59.