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官员变更与雾霾污染——来自地级市的证据
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  • 英文篇名:Officials' Turnover and Haze Pollution: Evidence from Chinese Prefecture-level Cities
  • 作者:张华 ; 唐珏
  • 英文作者:Zhang Hua;Tang Jue;School of Economics,Fudan University;School of Business Administration,Nanjing Audit University;
  • 关键词:雾霾污染 ; 官员变更 ; 地级市PM2.5浓度
  • 英文关键词:haze pollution;;officials' turnover;;PM2.5 concentration of prefecture-level cities
  • 中文刊名:上海财经大学学报
  • 英文刊名:Journal of Shanghai University of Finance and Economics
  • 机构:复旦大学经济学院;南京审计大学商学院;
  • 出版日期:2019-10-01
  • 出版单位:上海财经大学学报
  • 年:2019
  • 期:05
  • 基金:国家自然科学基金青年项目“中国式分权下绿色悖论的形成机理、效应评估与疏解路径研究”(71703073);; 中国博士后科学基金项目“环境分权下环境规制的碳排放效应评估与减排政策研究”(2017M610218);; 江苏省社会科学基金青年项目“环境规制视角下江苏碳排放的长效治理机制研究”(16GLC005);; 辽宁省社科规则项目“绿色发展背景下环境规则对东北工业污染减排的影响”(L18AJY004);; ”南京审计大学青年教师科研培育项目“雾霾污染对城乡收入差距影响的机理、效应与调控研究”(18QNPY009)
  • 语种:中文;
  • 页:111-126
  • 页数:16
  • CN:31-1817/C
  • ISSN:1009-0150
  • 分类号:X513;D630
摘要
雾霾治理是重大的民生工程,然而现有文献缺乏关注地方领导人变更对雾霾污染的影响。文章利用2003-2016年中国281个地级城市的面板数据,借助于地方领导人变更这一具有"准自然实验"性质的事件,检验了官员变更对雾霾污染的影响。研究发现,官员变更显著加剧了雾霾污染水平,而这一效应由市长变更所导致,主要发生在东部、中部和资源型城市。同时,官员变更对雾霾污染的影响因官员个体特征而存在差异,在外地官员的子样本中更为显著,并且更年轻、59岁特定年龄的市长有利于缓解官员变更对雾霾污染的加剧作用。进一步,官员变更也显著增加雾霾污染的波动水平,降低环境规制强度与增加固定资产投资是官员变更加剧雾霾污染的两个重要影响因素。文章的结论丰富了官员与污染相关的政治与环境经济学文献,为构建雾霾治理的长效机制提供了有益的政策启示。
        Given the fact that local governments in China have the power to control resources in their jurisdictions and have a strong influence on local development,their leaders' turnover may affect the quality of the local environment. However,the existing literature rarely pays attention to the effect of local government leaders' turnover on haze pollution,as well as the specific impact mechanism. To this end,this paper uses a panel data of 281 prefecture-level cities in China from 2003 to 2016,and then examines the impact of officials' turnover on haze pollution through a quasi-natural experiment of local government leaders' turnover. The results show that:(1)Compared with cities without officials' turnover,PM2.5 concentration in the cities with officials' turnover increases by 1.12% on average,suggesting that officials' turnover significantly aggravate haze pollution;(2)This promotion effect is mainly caused by the mayor's turnover,while the secretary' turnover has no significant impact on haze pollution,which stems from the different division of labor between the two types of leaders;(3)The impact of officials' turnover on haze pollution is heterogeneous. Specifically,the promotion effect is more significant in the sub-samples of eastern,central cities,and coastal resource cities;(4)The effect of officials' turnover on haze pollution varies due to the individual characteristics of officials,that is,it is more significant in sub-samples of nonlocal officials,and the younger,59-year-old mayor is conducive to alleviating the promotion effect of the mayor's turnover on haze pollution;(5)Officials' turnover significantly increases the fluctuation of haze pollution,and the influence of the secretary on the environmental quality is higher than that of the mayor;(6)Relaxing the environmental regulation intensity and increasing fixed-capital investment are two important mechanisms for officials' turnover to promote haze pollution. Therefore,frequent changes of local officials should be avoided and the continuity of environmental policy implementation should be maintained. At the same time,in order to strengthen the binding force of local government officials on pollution reduction,the central government should build a diversified performance appraisal system oriented by green development. In this way,the newly appointed local officials will strive to find an effective balancing mechanism between economic development and environmental protection.Overall,this paper enriches the political and environmental economics literature related to officials and pollution. Meanwhile,it is helpful to understand the relationship between local government behavior and environmental pollution,and has important policy implications for official governance and haze pollution prevention.
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    (1)样本中,市长年龄的最大值为61岁,考虑到“59岁”现象是离任之前的一种特定现象,因此本文将“59岁”现象这一变量定义为,如果市长大于等于59岁,则赋值为1,否则为0。可以说,本文考察的是一种广义上的“59岁”现象。

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