论文

中国环境污染与经济增长:基于空间动态面板数据模型的实证分析

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  • 合肥工业大学人文经济学院, 安徽 合肥 230009

收稿日期: 2010-02-04

  修回日期: 2010-06-11

  网络出版日期: 2010-11-20

基金资助

国家自然科学基金项目(71073045)、安徽省自然科学基金项目(090416241)和安徽省哲学社会科学规划项目(AHSKF09-10D84)资助。

Environmental Pollution and Economic Growth in China: A Dynamic Spatial Panel Data Model

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  • School of Humanities, Hefei University of Technology, Hefei, Anhui, 230009

Received date: 2010-02-04

  Revised date: 2010-06-11

  Online published: 2010-11-20

摘要

产业结构转型和区域间的产业转移进一步增强了中国各地区间的经济联动性,一个地区的产业规模和发展模式不仅影响本地区的环境质量,也会对其他地区尤其是周边地区的环境质量产生影响,这种地域间环境质量的空间相关性已不容忽视。为此,基于环境库兹涅茨曲线(Environment Kuznets Curve,EKC)假定,引入空间相关因素,运用空间动态面板模型分析中国环境污染与经济增长的关系。研究结果表明,中国基本满足EKC的假定,并且环境污染存在显著的空间相关性;基于地理权重的估计模型明显优于经济权重模型,即造成中国环境污染溢出的主要原因是地理因素而非经济因素。

本文引用格式

王立平, 管杰, 张纪东 . 中国环境污染与经济增长:基于空间动态面板数据模型的实证分析[J]. 地理科学, 2010 , 30(6) : 818 -825 . DOI: 10.13249/j.cnki.sgs.2010.06.818

Abstract

Industrial restructuring and inter-regional transferring across the country has enhanced the economic linkage of Chinese provinces and regions. Industrial scale and model of economic development in a province not only affects the region's environmental quality, but can also be the reason of environmental population of other areas especially the areas which close to it. To analyze the Environmental Kuznets Curves (EKC) of China in the circumstance of globalization,the inter-regional interaction can not be ignored.This paper constructs emissions of five kinds of pollutant and GDP panel data of China,to study the relationship between economic growth and environmental pollution based on dynamic spatial panel data model.The results showed that the hypothesis of EKC generally consistent with China's national conditions and the spatial effect is significant.In addition, the model base on geographic weights matrix is better than the one base on economic matrix,which proved the spillover effect of environmental pollution in China is mainly due to geographical factors.

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