Zheng Yongjie

Total factor energy efficiency of regions in China: A nonparametric analysis

This study computes the regional total factor energy efficiency (TFEE) in china for the period 1990–2007 by employing DEA-Malmquist. In our DEA-Malmquist model, labor, capital stock and energy consumption are the three inputs and real GDP is the single output. Our empirical results indicate the eastern areas total factor energy efficiency has been on the efficiency frontier surface, the mid-west area is far from that. Before 2000, Chinas inter-provincial energy efficiency exists remarkable convergency tendency, after 2000, the convergency tendency is weaken. the improvement of technical efficiency is more efficient than technical progress to improve TFEE, which may be related to the rebound effect of technical progress. More efficient production processes and advanced technologies have the positive role to national and three areas energy efficiency improvement. This paper has also carried out empirical analysis on all economic factors constituting the total factor energy efficiency by dynamic panel model. The results show that: it is very crucial to increase the capital investment and increase the conversion of labor to human capital so as to improve the total factor energy efficiency and protect the healthy and rapid economic development in China.

Empirical research on spatial agglomeration of China's energy industry and the impact factors

Energy industry is the motive force of economic development. Research on the energy industry in china should not ignore the relativity and the heterogeneity of spatial dimensions. At present, time series analysis is used in most of the energy industry, cross-section data analysis, especially the spatial econometric analysis are rarely applied, this paper takes the mainland provinces and cities in China as spatial samples to analyzes the agglomeration status of energy industry as well as the impact factors with the use of spatial econometrics. Firstly, the location quotient is used to make quantitative measure on the agglomeration of energy industry in 30 provinces of China; secondly, moran index is used to test the spatial dependence of the energy industry agglomeration, finally spatial econometric models are used to analyze the impact factors on the agglomeration of the energy industry, and thus the relevant policies and proposals are put forward. Studies show that the energy industry in different provinces is in uneven development, the agglomeration of energy industry in central regions is higher than that of eastern and western regions, the agglomeration of energy industry is obviously dependent on spatial factors, the industrialization, human capital and fixed assets investment have spillover effect on the agglomeration of energy industry, thus the correlation and heterogeneity of spatial dimension can not be ignored in the research of energy industry agglomeration.