The Analysis of Influence Factor on China’s Energy Efficiency——Based on the Quintile Regression ModelChinese Full Text
LI Jing-chang;YANG Song;ZHAO Nan;School of Statistics ＆ Mathematics,Zhejiang Gongshang University;School of Mathematics Physics ＆ Information Engineering,Jiaxing University;Institute of National Accounts,Beijing Normal University;
Abstract: Based on the data of China from 1988 to 2013,this paper studies the impact of factors on energy intensity by the quintile regression method. The empirical results indicate that the optimization of industrial structure and FDI can reduce energy intensity. But with the reduction of energy intensity,their roles will increase. The effect of energy price impact on energy intensity is not significant. The proportion of coal in total energy consumption has a positive effect on energy intensity. Similarly,with decreasing energy intensity,the role of the proportion of coal in total energy consumption will be decline firstly and rise then. Consumption has a positive effect on energy intensity.
- DOI：
10.14134/j.cnki.cn33-1336/f.2014.12.009
- Series：
- Subject：
- Classification Code：
F426.2
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