DocumentCode :
2243088
Title :
Empirical research on spatial agglomeration of China´s energy industry and the impact factors
Author :
Yong-jie, Zheng ; Zhong-ying, Qi
Author_Institution :
Sch. of Manage., Harbin Inst. of Technol., Harbin, China
fYear :
2011
fDate :
13-15 Sept. 2011
Firstpage :
978
Lastpage :
987
Abstract :
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.
Keywords :
electricity supply industry; power system economics; time series; China; agglomeration status; cross-section data analysis; economic development; energy industry; impact factors; location quotient; moran index; spatial agglomeration; spatial econometric analysis; spatial econometric models; spillover effect; time series analysis; Biological system modeling; Cities and towns; Correlation; Econometrics; Indexes; Industries; Mathematical model; energy industry agglomeration; location quotient; moran index; spatial econometric model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management Science and Engineering (ICMSE), 2011 International Conference on
Conference_Location :
Rome
ISSN :
2155-1847
Print_ISBN :
978-1-4577-1885-4
Type :
conf
DOI :
10.1109/ICMSE.2011.6070077
Filename :
6070077
Link To Document :
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