科研管理 ›› 2016, Vol. 37 ›› Issue (6): 134-140.

• 论文 • 上一篇    下一篇

产业聚集与环境污染—基于中国城市数据的空间计量分析

刘军1,程中华1,2,李廉水1,2   

  1. 1南京信息工程大学中国制造业发展研究院,江苏 南京210044;
    2东南大学经济管理学院,江苏 南京211189
  • 收稿日期:2015-01-14 修回日期:2015-10-09 出版日期:2016-06-20 发布日期:2016-06-12
  • 通讯作者: 刘军
  • 基金资助:

    基金项目:国家自然科学基金项目:环境规制下我国制造业转型升级研究(项目编号:71173116;起止时间:2012-1-2015-12);教育部哲学社会科学发展报告项目:中国制造业发展研究报告(批准号13JBG004;起止时间:2013-11-2016-11);江苏省“青蓝工程”(起止时间:2014-6-2017-6)。

Industrial Agglomeration and Environmental Pollution —Base on Spatial Econometric Analysis of Chinese urban Data

Liu Jun 1, Cheng Zhonghua 1,2, Li Lianshui 1,2   

  1. 1. China Institute of Manufacturing Development, Nanjing University of Information
    Science and Technology, Nanjing 210044, Jiangsu, China;
    2. School of Economics and Management, Southeast University, Nanjing 211189, Jiangsu, China
  • Received:2015-01-14 Revised:2015-10-09 Online:2016-06-20 Published:2016-06-12

摘要: 本文用中国2003-2012年285个地级及以上城市的数据,运用空间计量模型实证分析了产业聚集对环境污染的影响。空间自相关性检验表明,中国城市环境污染存在显著的全局空间自相关性和局部空间集聚效应。空间计量回归结果显示,产业聚集显著加剧了环境污染,表明当前中国产业聚集带来的环境负外部性大于环境正外部性;经济发展水平与环境污染之间存在“倒U”型曲线关系,验证了环境库兹涅茨曲线的存在。最后,提出聚集区改善环境污染的政策建议。

关键词: 产业聚集, 环境污染, 环境库兹涅茨曲线, 空间计量模型

Abstract: Using statistical data from 285 cities in 2003-2012, this paper empirically studied the effect of industrial agglomeration on environmental pollution using spatial econometric model. The spatial autocorrelation tests showed that there was significant positive spatial correlation and local spatial agglomeration effects of urban environmental pollution. The spatial econometric regression showed that industrial agglomeration significantly aggravated environmental pollution, indicating that the negative environmental externalities caused by industrial agglomeration were higher than the positive environmental externalities. There was an inverted-U shape relationship between economic development and environmental pollution and it indicated that Environmental Kuznets curve existed in China. Finally, we put forward specific suggestions to improve environmental pollution based on the above conclusions of the paper.

Key words: industrial agglomeration, environmental pollution, Environmental Kuznets Curve, spatial econometric model