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空间集聚对中国工业污染排放强度的影响 被引量:25

Impact of spatial agglomeration on industrial pollution emissions intensity in China
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摘要 本文以2005~2014年中国省际面板数据为样本,建立决定工业污染排放强度的理论、计量模型,构建中国省级行政区内部地级市之间的内部集聚度指数以及反映市场规模效应的外部集聚度,深入研究了空间集聚对工业污染排放强度的影响.研究表明:经济活动的空间集聚有利于减少単位GDP工业COD、工业SO_2、工业烟尘和粉尘污染排放强度;内部集聚度对工业COD排放强度差距的贡献为负,是缩小工业COD排放强度差距的因素,而外部集聚度的贡献为正,表明随着集聚外部性的增强,区位的重要性更大地体现在不同区域间的相互关联上,即市场规模效应;外部集聚度对地区工业污染排放强度的影响存在显著的门限效应. In this paper,based on provincial panel data from2005to2014in China,a theoretical and econometric model was built,the provincial region internal agglomeration index and external agglomeration degree on market scale effect were constructed,and an in-depth empirical research on the spatial agglomeration of the impact of industrial pollution emissions intensity was studied.The main conclusions were as follows.Per unit of GDP industrial COD,industrial SO2and industrial soot and dust pollution emissions intensity were reduced by spatial agglomeration;Internal agglomeration had a negative impact on the gap of industrial COD discharge,and the gap was reduced by it;External agglomeration had a positive impact,it was showed that the importance of location was more reflected in the correlation between different regions along with the enhancement of agglomeration externalities,namely market scale effect was strong;External gglomeration degree of region played a significant role in the effects of industrial pollution emissions intensity threshold effect.
作者 王晓硕 宇超逸 WANG Xiao-shuo;YU Chao-yi(Institute of Mathematics, Dongbei University of Finance and Economics, Dalian 116025, China;Center for Econometric Analysis and Forecasting, Northeastern Branch, Dalian 116025, China;Institute of Economics, Dongbei University of Finance and Economics, Dalian 116025, China)
出处 《中国环境科学》 EI CAS CSSCI CSCD 北大核心 2017年第4期1562-1570,共9页 China Environmental Science
基金 国家自然科学基金资助项目(71302054) 辽宁省教育厅人文社会科学研究项目(LN2016YB024) 东北财经大学研究生教学改革研究项目(YJZX-201603)
关键词 空间集聚 工业污染排放强度 夏普利值 门限效应 节能减排 spatial agglomeration industrial pollution emissions intensity shapley value threshold effect energy conservation and emissions reduction
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