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产业聚集与环境污染-基于中国城市数据的空间计量分析
引用本文:刘军,程中华,李廉水.产业聚集与环境污染-基于中国城市数据的空间计量分析[J].科研管理,2016,37(6):134-140.
作者姓名:刘军  程中华  李廉水
作者单位: 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
基金项目:国家自然科学,教育部哲学社会科学发展报告项目,江苏省"青蓝工程
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
收稿时间:2015-01-14

Industrial agglomeration and environmental pollution
Liu Jun,Cheng Zhonghua,Li Lianshui.Industrial agglomeration and environmental pollution[J].Science Research Management,2016,37(6):134-140.
Authors:Liu Jun  Cheng Zhonghua  Li Lianshui
Institution: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
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.
Keywords:industrial agglomeration  environmental pollution  Environmental Kuznets Curve  spatial econometric model
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