2018 International Conference on New Energy and Future Energy System | |
Retesting the existence, relativity and convergence of energy curse: An empirical test based on the provincial panel data analysis in China | |
Qin, X.^1 ; Xu, Y.S.^1 ; Lu, Q.^2 ; Wang, X.L.^2 | |
Faculty of Management and Economics, Dalian University of Technology, Dalian | |
116023, China^1 | |
School of Economics and Management, University of Science and Technology Beijing, Beijing | |
100083, China^2 | |
关键词: Economic condition; Empirical analysis; Industrial structures; Inverse correlation; Panel data analysis; Quantitative measures; Technological progress; Temporal spatial distribution; | |
Others : https://iopscience.iop.org/article/10.1088/1755-1315/188/1/012026/pdf DOI : 10.1088/1755-1315/188/1/012026 |
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来源: IOP | |
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【 摘 要 】
An index, Resource Curse Intensity (RCI), is proposed to evaluate the degree of deviation between energy endowment and economic growth by taking national economic conditions into account for the energy system. The RCI is intended to provide a quantitative measure of what is regarded as the "resource curse", namely, the negative impact of natural resources wealth crowding out productive activities. Based on panel data from 30 provinces/cities from 2001 to 2010, empirical analysis is carried out with the convergence method from neoclassical economics to shed light on the temporal-spatial distribution, evolutionary trends, and convergent determinants of China's RCI for energy. The findings of the study indicate that the index has become significant in China since 2009; compared to other factors, technological progress poses notable positive effect while energy structure, openness Level, and administrative have weak influence on the curse convergence; an inverse correlation shows up between the industrial structure and convergence effect; moreover, club convergence is found in the eastern and central regions but western region in mainland China.
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Retesting the existence, relativity and convergence of energy curse: An empirical test based on the provincial panel data analysis in China | 289KB | ![]() |