经济增长、能源结构与工业污染——基于空间面板计量实证研究  

Economic Growth,Energy Structure and Industrial Pollution——Empirical Analysis Based on Spatial Panel Metering

作　　者：王立平[1] 李婷婷[1] 胡义伟[1] 

机构地区：[1]合肥工业大学,合肥230601

出　　处：《工业技术经济》2016年第8期3-11,共9页Journal of Industrial Technological Economics

基　　金：国家自然科学基金项目(项目编号:71073045;71473068);教育部人文社科规划项目(项目编号:12YJA790135);安徽省自然科学基金(项目编号:11040606M18)

摘　　要：本文基于环境EKC曲线理论,采用2002-2013年中国31个省际的面板数据,运用空间数据分析方法对经济增长、能源结构与工业污染的空间分布格局相关性进行研究。进一步运用空间计量方法,研究经济增长、能源结构对工业污染的空间效应。研究结果发现：经济增长、能源结构与工业污染存在空间相关性,并在空间分布上存在明显的＂路径依赖＂特征并形成了不同集聚区域。经济增长、能源结构对工业污染的空间影响效应明显,经济增长与工业污染呈现EKC曲线假设的倒＂U＂形关系,能源结构与工业污染呈现正向相关关系。最后在实证结果的基础上提出相关建议。According to the theory of environmental EKC curve, this article adopts 31 provincial panel data in China from 2002 to 2013, using spatial data analysis methods to study economic growth, energy structure and industrial pollution＇s spatial distribution pattern correlation. It uses space measurement methods to study economic growth, energy structure and industrial pollution＇s spatial effects. The results show that economic growth, energy structure and industrial pollution have spatial correlation, and there is a clear ＂path dependence＂ feature on the spatial distribution and the formation of a different cluster area. Economic growth, the energy mix of industrial pollu-ion space effects, economic growth and industrial pollution rendering of EKC hypothesis of inverted ＂U＂ shaped relationship, and the energy structure and industrial pollution have a positive correlation. Finally, we put some suggestions on the basis of empirical results.

关 键 词：经济增长 能源结构 工业污染 空间相关性 环境库兹涅茨曲线 

分 类 号：F124[经济管理—世界经济]