Abstract
This paper uses China’s 2010-2018 city-level panel data and the annual average PM2.5 concentration data processed by ArcGIS software and uses the LASSO regression model to empirically analyze the impact of local officials’ characteristics environmental governance performance. The results show that younger officials, municipal party committee secretaries who graduated from ordinary colleges and universities, municipal party committee secretaries who have been vacated, and general mayors are more conducive to environmental governance; those who have worked in state-owned enterprises, are older, have studied The secretary of the municipal party committee and a mayor who is promoted from the grassroots in economics and management, the secretary of the municipal party committee with a bachelor’s degree, the mayor who has a graduate degree, the mayor who has committed corruption and discipline, and the mayors who graduated from the party school are not conducive to the jurisdiction Environmental governance. The research results of this article help to understand the role of individual differences in local officials in environmental governance, and can also provide reference suggestions for cadres and personnel reform.
Highlights
Environmental governance is closely related to government behaviour, and government behaviour is influenced by officials
This article's research results help to understand the role of individual differences in local officials in environmental governance and can provide reference suggestions for cadres and personnel reforms
Based on the panel data of 285 prefecture-level cities across the country from 2010 to 2018, this paper uses the LASSO regression model to empirically analyze the impact of local officials' characteristics on environmental governance performance
Summary
Environmental governance is closely related to government behaviour, and government behaviour is influenced by officials. The proxy variables used to measure the performance of local environmental governance in economic research are not uniform [1,2,3]. PM2.5 data is rarely used as a proxy variable for environmental governance performance in existing studies. This article uses the latest global atmospheric PM2.5 annual average concentration raster dataset released by the Canadian Dalhousie University Atmospheric Composition Analysis Group and uses ArcGIS software to process the annual average PM2.5 concentration This data is more objective and covers China's Most prefecture-level cities. Because many variables added to the regression model can lead to multicollinearity, this paper adopts the LASSO regression model that can overcome multicollinearity to do empirical analysis, to screen out officials' characteristics will have a significant impact on the performance of urban environmental governance. This article's research results help to understand the role of individual differences in local officials in environmental governance and can provide reference suggestions for cadres and personnel reforms
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