中国工业用电效率影响因素研究—基于空间面板模型

Research on Influencing Factors of Industrial Electricity Efficiency in China: Based on Spatial Panel Model

摘要:

为进一步探索工业用电效率提升路径,本文基于中国30个省区的工业面板数据,采用共同前沿数据包络分析方法测算了各省区1995—2016年间的工业用电效率值,通过全局莫兰指数检验和莫兰散点图分析发现工业用电效率值具有显著的空间相关性。采用空间杜宾模型实证分析了知识溢出、人均资本投入、技术进步、产业结构、电力价格和经济发展水平对工业用电效率的影响作用,结果发现知识溢出对工业用电效率的影响不显著；人均资本投入和技术进步对工业用电效率具有显著的负向影响；产业结构、电力价格和经济发展水平对工业用电效率的提高有显著的正向影响。

Abstract:

In order to further explore the path of industrial power efficiency improvement, this paper uses the common frontier data envelopment analysis method to calculate the industrial electricity efficiency value of each province from 1995 to 2016 based on the industrial panel data of 30 provinces in China. Then, through the global Moran index test and Moran scatter plot analysis, it is found that the electrical efficiency value has a significant spatial correlation. This paper uses the spatial Dubin model to empirically analyze the effects of knowledge spillovers, per capita capital investment, technological progress, industrial structure, electricity prices and economic development on industrial electricity efficiency. It is found that the impact of knowledge spillovers on industrial electricity efficiency is not significant; per capita capital investment and technological progress have a significant negative impact on industrial electricity efficiency; industrial structure, electricity price and economic development level have a significant positive impact on the improvement of industrial electricity efficiency.