中文关键词PM_2.5工业化林草覆盖度调节作用环境库兹涅茨曲线(EKC) 英文关键词PM_2.5industrializationforest-grass coverageregulating effectEnvironmental Kuznets Curve(EKC)

作者	单位	E-mail
李雅男	西北农林科技大学经济管理学院, 资源经济与环境管理中心, 杨凌 712100	15191570687@163.com
丁振民	西北农林科技大学经济管理学院, 资源经济与环境管理中心, 杨凌 712100
邓元杰	西北农林科技大学经济管理学院, 资源经济与环境管理中心, 杨凌 712100
侯孟阳	西北农林科技大学经济管理学院, 资源经济与环境管理中心, 杨凌 712100
姚顺波	西北农林科技大学经济管理学院, 资源经济与环境管理中心, 杨凌 712100	yaoshunbo@163.com

中文摘要 选取2000、2005、2010及2015年4期的中国255个地级及以上城市数据，构建空间杜宾模型，研究中国工业化对PM_2.5浓度影响；同时引入以林草覆盖度为核心的环境治理工具，探讨EKC曲线的内在形成机制.结果表明：①工业化对PM_2.5浓度的影响呈现显著的倒"U"型，EKC假说得到验证.②EKC曲线的形成是外部因素作用的结果，并非经济增长内生机制所导致的，林草覆盖度在工业化发展与PM_2.5浓度的关系中起负向调节作用，即EKC的倒U型结构并非是经济增长自动调节，而是由于以林草覆盖度为主的环境治理工具作用的结果.③工业化发展对PM_2.5浓度的影响存在空间溢出效应，城市工业化发展不仅对本地区PM_2.5浓度有影响，对邻近地区PM_2.5浓度也有影响. 英文摘要 Based on the panel data of 255 cities in China, this study built a spatial Durbin model to study the impact of China's industrialization on the PM_2.5 pollution level. Meanwhile, an environmental governance tool characterized by forest and grass coverage was introduced to explore the internal mechanism and exogenous driving force of EKC. The results show that ① the relationship between industrialization and PM_2.5 concentration is obviously an inverted u-shaped, and the EKC hypothesis was verified. ② The formation of the EKC curve was caused by the external factors and not the endogenous mechanism of economic growth. Forest-grass coverage plays a regulating role in the relationship between industrialization and PM_2.5 pollution level, namely the inverted u-shaped structure of environmental EKC results from environmental governance tool with forest and grass cover rather than the automatic adjustment of economic growth. ③ The influence of industrialization on PM_2.5 concentration has a spatial spillover effect. Urban industrialization not only affects the PM_2.5 concentration in local regions but also its neighboring region.

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