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中国能源强度的空间异质性及其影响因素研究
引用本文:范吉成.中国能源强度的空间异质性及其影响因素研究[J].科技和产业,2019,19(2):72-77.
作者姓名:范吉成
作者单位:华北电力大学 经济与管理学院,北京,102206
摘    要:伴随着我国经济增长以及产业结构升级,能源强度及其影响因素在空间分布上呈现的特性具有新的变化。选取2015年中国30个省(区、市)的相关数据建立地理加权回归模型,实证研究了能源强度的空间异质性及其影响因素。结果表明:中国省域能源强度存在明显正的空间自相关性,并且在空间上存在明显的集聚特征,西北地区能源强度较高,东南地区能源强度较低;技术进步、经济发展水平、外开放程度与能源强度成负相关关系,对能源强度的降低有促进作用;第二产业比重、第三产业比重、能源价格与能源强度成正相关关系。

关 键 词:能源强度  空间异质性  地理加权回归模型

A Study on Spatial Heterogeneity of Energy Intensity and Its Influencing Factors in China
Abstract:With the process of China''s economic growth and industrial structure upgrading, the energy intensity and its influencing factors have new changes in the spatial distribution characteristics. This paper selects the relevant data of 30 administrative regions in China in 2015 to establish a geographically weighted regression model, and empirically studies the spatial heterogeneity of energy intensity and its influencing factors. The results show that there is a significant positive spatial autocorrelation in China''s provincial energy intensity, and there are obvious agglomeration characteristics in space. The results show that China''s provincial energy intensity has obvious positive spatial autocorrelation and obvious spatial agglomeration characteristics. The energy intensity in Northwest China is higher than that in Southeast China. Technological progress, economic development level and degree of opening to the outside world are negatively correlated with energy intensity, which can promote the reduction of energy intensity. The proportion of the second industry, the proportion of the third industries, and the price of energy are positively correlated with the intensity of energy.
Keywords:energy intensity  spatial heterogeneity  geographically weighted regression model
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