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辽宁省环境规制约束下的雾霾脱钩效应分析
引用本文:于冠一,修春亮,赵昌松.辽宁省环境规制约束下的雾霾脱钩效应分析[J].东北大学学报(自然科学版),2019,40(3):435-440.
作者姓名:于冠一  修春亮  赵昌松
作者单位:东北大学 工商管理学院,辽宁 沈阳,110169;东北大学 江河建筑学院,辽宁 沈阳,110169
基金项目:国家自然科学基金资助项目(41471141).
摘    要:基于2006年—2015年辽宁省57个地区的统计和卫星遥感数据,使用空间杜宾模型,检验政府和市场环境规制工具对邻近地区工业发展与雾霾脱钩的空间效应.空间自相关结果表明,辽宁各地雾霾脱钩呈现空间正相关特征,大部分地区处于绝对和相对脱钩状态.实证结果表明:由于资源税成本较低及地方政府对大企业环保责任的有效监督,辽宁省政府环境规制的雾霾脱钩效果优于市场型环境规制;示范效应和大气运动使得本地环境规制强度提高,这对邻近地区的雾霾脱钩带来了积极的引导和波及效应.

关 键 词:环境规制  雾霾污染  脱钩  空间相关性  空间杜宾模型
收稿时间:2017-04-29
修稿时间:2017-04-29

Haze Decoupling Effect Under the Constraints of Environmental Regulation in Liaoning Province
YU Guan-yi,XIU Chun-liang,ZHAO Chang-song.Haze Decoupling Effect Under the Constraints of Environmental Regulation in Liaoning Province[J].Journal of Northeastern University(Natural Science),2019,40(3):435-440.
Authors:YU Guan-yi  XIU Chun-liang  ZHAO Chang-song
Institution:1. School of Business Administration, Northeastern University, Shenyang 110169, China; 2. School of JangHo Architecture, Northeastern University, Shenyang 110169, China.
Abstract:Based on the statistical and satellite remote sensing data of 57 regions in Liaoning Province from 2006 to 2015a, the spatial Durbin model was used to test the spatial effect of government and market environment regulation tools on the decoupling of industrial development and haze in the neighboring regions. The results of spatial autocorrelation showed that haze decoupling in Liaoning Province presents a spatial positive correlation, and most of the regions are absolutely and relatively decoupled. The empirical results show that due to the low resource tax cost and effective supervision of local governments on the environmental responsibility of large enterprises, the government′s environmental regulation effect is better than the market environmental regulation; the demonstration effect and atmospheric movement have brought positive guidance and ripple effects to the neighboring regions.
Keywords:environmental regulation  haze pollution  decoupling  spatial correlation  spatial Durbin model  
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