Dynamic Evolution of Energy Efficiency Mechanism in China

Author(s): 
Y. D. Cheng

Affiliation(s): 
Anhui University of Science and Technology, Anhui Huainan, 232001, China

Cite this paper
Y. D. Cheng, “Dynamic Evolution of Energy Efficiency Mechanism in China”, Journal of Mechanical Engineering Research and Developments, vol. 39, no. 2, pp. 544-554, 2016. DOI: 10.7508/jmerd.2016.02.034

ABSTRACT: In this paper, the panel data model of the total factor energy efficiency (TFEE)is built to research on the dynamic evolution mechanism , using the panel data of China in 1991-2012, This paper test the relationship between the TFEE and effect factors by the method of panel co-integration, and calculated the contribution rate of every factor to the growth rate of TFEE by the panel data model. The empirical results shows that the TFEE and effect factors are co-integrated in the long run, it is clear that industrial structure, structure of energy consumption have negative influence on TFEE, and human capital quality, technical progress, the government influence have forward influence on TFEE, the human capital quality has the greatest contribution to the growth of TFEE. The TFEE will be pushed forward by these effect factors.

Keywords : Energy Efficiency; Panel Co-integration; Contribution Rate; Evolution Mechanism.

References

[1] Hu J L, Wang S C. Total-factor energy efficiency of regions in China. Energy Policy, 2006, 34(17): 3206-3217.
[2] Yang Hongliang, Stan. Comparison of. economic theory and economic management, energy efficiency and energy efficiency methods China 2008 regions, (3):12-20.
[3] Wei Chu, Shen Manhong. The energy efficiency and its influence factor: DEA empirical analysis based on the. management world, 2007, (8): 66-76.
[4] Yuan Xiaoling, Zhang Baoshan, Yang Wanping. Based on environmental pollution Chinese. total factor energy efficiency research Chinese industrial economy, 2009251 (2): 76-86.
[5] Qu Xiaoe. China provincial total factor energy efficiency change decomposition Malmquist index An Empirical Study of the number of. technology economy, based on the 2009 (8): 29-43.
[6] Wang Keliang, Yang Baochen, Yang Li. Considering the environmental effect of China provincial total factor energy efficiency of. management science, 2010, 23 (6):100-111.
[7] Xiao Tao, Zhang Zongyi and VECM. The cointegration relationship between energy consumption and economic growth–Based on the experience of Chinese research from 1990 to 2008:. soft science, 2011, 25 (2): 7-10.
[8] Hung M F, et al. Economic growth and the environmental kuznets curve in Taiwan: A simultaneity model analysis. Human Capital, Trade and Public Policy in Rapidly Growing Economies: From Theory to Empirics. UK, Edward Elgar, 2004: 269-290.
[9] Guo Junhua, Li Bangyi. China economic growth and environmental pollution in the cointegration relationship on 1991 2007. provincial panel data based on mathematical statistics and management, 2010, 29 (2): 281-293.
[10] Zhou Jian. China’s regional economic growth and improving the efficiency of energy utilization of the dynamic evolution mechanism of Provincial Panel Data Cointegration Model an empirical study of. based on quantitative and technical economics, 2008, (9):3-16.
[11] Stan, Wu Lixue, Fu Xiaoxia et al. Regional differences in energy efficiency China and genesis of the variance of the stochastic frontier production function decomposition based on. management world, 2008, (2): 35-43.
[12] Banker R D, Charnes A, Cooper, W W. Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Scinece , 1984, 30(9): 1078-1092.
[13] Baltagi, B. H. Econometric analysis of panel data. 3rd edition, John Wiley, Chichester, 2005.
[14] Goldsmith, Raymond W., A Perpetual Inventory of National Wealth. Studies in Income and Wealth, ed., M.R. Gainsburgh, Princeton, 1951: 14:5-61.
[15] Zhang Jun, Wu Guirong, Zhang Jipeng. Estimation of Chinese provincial capital stock: 1952-2000. economic research, 2004, (10):35 44.
[16] Lin Boqiang. Electricity consumption and economic growth: Chinese production function research based on. management world, 2003, (11): 18 – 27
[17] Xu Guoquan, Liu Zeyuan. 1998 – 2005 Chinese total factor energy efficiency of regions of. China science and technology forum, 2007, (7):68-72.
[18] Hall, R. E. and Jones, C. I., Why do some countries produce so much more output per worker than others?. Quarterly Journal of Economics, 1999, 144: 83-116.
[19] Pedroni, P. Critical values for cointegration tests in heterogeneous panels with multiple regressions. Oxford bulletin of economics and statistics, 1999, 61: 653-670.
[20] Kao, C. Spurious regression and residual-based tests for cointegration in paned data. Journal of econometrics, 1999, 90: 1-44.
[21] Li Guozhang, Huo Zongjie. Chinese total factor energy efficiency, convergence and its influencing factors analysis based on the 1995 – 2006 panel data empirical. economic review, 2009, 6: 101-109.