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主要研究中国区域全要素电力效率及其驱动因素,探讨全要素电力效率与区域经济增长之间的相关关系,从而为节能减排政策的制定提供参考。应用数据包络分析理论建立了区域全要素电力效率评价模型;基于Malmquist生产率指数建立了全要素电力效率分解模型,以探讨全要素电力效率变化的驱动因素;建立动态面板数据模型,探讨全要素电力效率与经济增长之间的相关关系。以1995—2008年中国30个省、市、自治区的数据为样本,测算了区域全要素电力效率,结果表明经济发展快的区域全要素电力效率比较高,基于一般矩估计的动态面板数据模型的估计结果进一步证实了中国区域全要素电力效率与人均国内生产总值呈正相关关系,但与产业结构呈负相关关系;全要素电力效率分解模型的结果表明,除湖南外,其他区域的技术水平在提高。研究结果具有较高的政策建议价值,即技术进步和产业结构调整是提高中国区域全要素电力效率的重要措施。
It mainly studies the total factor power efficiency and its driving factors in China and discusses the correlation between total factor power efficiency and regional economic growth so as to provide a reference for the formulation of energy conservation and emission reduction policies. Based on the theory of data envelopment analysis, a regional total factor power efficiency evaluation model was established. Based on the Malmquist productivity index, a total factor power efficiency decomposition model was established to explore the driving factors of total factor power efficiency change. The dynamic panel data model was established to investigate the total factor power The relationship between efficiency and economic growth. Taking the data of 30 provinces, municipalities and autonomous regions in China from 1995 to 2008 as samples, the total factor power efficiency in the region was measured. The results show that the total factor power efficiency of the region with fast economic growth is relatively high. Based on the general panel moment model, The estimation results further confirm that the total factor power efficiency in China is positively correlated with GDP per capita, but negatively correlated with the industrial structure. The results of the total factor power efficiency decomposition model show that the technological level of other regions except Hunan is improve. The research results have higher policy suggestions, that is, technological progress and industrial restructuring are important measures to improve the efficiency of total factor power in China.