Effects of environmental regulation on air pollution control in China: a spatial Durbin econometric analysis

Wu, Xueping; Gao, Ming; Guo, Shihong; Li, Wei

doi:10.1007/s11149-019-09384-x

Cited by 29 publications

(15 citation statements)

References 59 publications

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“…In this study, the geospatial and socioeconomic relations of different regions are simultaneously considered in defining these areas, ensuring that the results are not affected by the prior determination of the weight scheme. Following previous studies (Chen et al, 2019;Wu et al, 2019;Song et al, 2020b;Zhang et al, 2020b), we design three types of spatial weight matrices: 0-1, geographical distance, and economic distance. Based on the first two types, two cities have the same characteristics in terms of resource endowments, regional advantages, and cultural practices if they are geographically adjacent or nearby.…”

Section: Specification Of Spatial Weight Matricesmentioning

confidence: 99%

“…Second, we focus on prefecture-level municipal governments rather than provincial governments. Previous studies that are closely related to strategic interactions regarding environmental regulation (e.g., Renard and Xiong, 2012;Wu et al, 2019;Song et al, 2020a;Zhang et al, 2020aZhang et al, , 2021 and environmental expenditure (Deng et al, 2012;Chen et al, 2019;Pan et al, 2020), have mostly focused on the interactions among provincial governments. Our selection of prefecture-level municipal governments was based on two reasons.…”

Section: Introductionmentioning

confidence: 99%

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Strategic Interactions in Environmental Regulation: Evidence From Spatial Effects Across Chinese Cities

Zhang

et al. 2022

Front. Environ. Sci.

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Developing countries are notorious for their enforcement gap in environmental regulation. Despite policymakers and scholars focusing on this phenomenon in China, there is little literature to explore the cause for its prevalence. This paper aims to explain this occurrence from the perspective of strategic interactions among the local governments in China based on the yardstick competition theory. Employing spatial panel data models, we use a panel dataset of Chinese cities to investigate strategic interactions in environmental regulation and identify their possible sources. The results depict a confirmative picture of strategic interactions in environmental regulation among Chinese cities, suggesting that the cities tend to imitate their neighbours and implement looser environmental regulation in response to the decreasing stringency in neighbouring cities. This transmission effect demonstrates the prevalence of incomplete implementation of environmental regulation. Moreover, the imitative actions vary across Chinese cities, as they are observed in eastern and western cities but not in central cities. In addition, the imitative actions are significantly weaker when environmental governance gains a higher degree of salience, indicating that green performance appraisals reduce strategic interactions among local governments. Finally, strategic interactions are found to originate from the fiscal decentralization system, and are strengthened by the turnover of the municipal party secretary or a younger one.

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Section: Specification Of Spatial Weight Matricesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Strategic Interactions in Environmental Regulation: Evidence From Spatial Effects Across Chinese Cities

Zhang

et al. 2022

Front. Environ. Sci.

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“…In terms of single index, most scholars (Huang et al, 2015;Wen et al, 2018;Zhao et al, 2019;Chen X. et al, 2020;Dai et al, 2020;Zhang et al, 2020;Yu et al, 2021) selected PM2.5 as the research index. A few scholars (Jiang et al, 2014;Wu et al, 2019) studied from the perspective of API Pu et al (2017) selected AQI for research. In terms of multiple indicators, there are few researchers and different perspectives.…”

Section: Spatiotemporal Variation About Air Qualitymentioning

confidence: 99%

What drives the spatio-temporal distribution and spillover of air quality in China’s three urban agglomerations? Evidence from a two-stage approach

Cui

Ren²,

Wei³

et al. 2022

Front. Ecol. Evol.

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Beijing-Tianjin-Hebei urban agglomeration (BTH), Yangtze River Delta (YRD), and Pearl River Delta (PRD) are the most important economic hinterlands in China, offering high levels of economic development. In 2020, their proportion of China’s total GDP reached 39.28%. Over the 5 years of 2014–2018, the annual maximum air quality index (AQI) of the three major urban agglomerations was greater than 100, thus maintaining a grade III light pollution (100 < AQI < 200) in Chinese air standards. This research thus uses a two-stage empirical analysis method to explore the spatial-temporal dispersal physiognomies and spillover effects of air quality in these three major urban agglomerations. In the first stage, the Kriging interpolation method regionally estimates and displays the air quality monitoring sampling data. The results show that the air quality of these three major urban agglomerations is generally good from 2014 to 2018, the area of good air is gradually expanding, the AQI value is constantly decreasing, the air pollution of YRD is shifting from southeast to northwest, and the air pollution of PRD is increasing. The dyeing industry shows a trend of concentration from northwest to south-central. In the second stage, Moran’s I and Spatial Durbin Model (SDM) explore the spatial autocorrelation and spillover effects of air quality related variables. The results show that Moran’s I values in the spatial autocorrelation analysis all pass the significance test. Moreover, public transport, per capita GDP, science and technology expenditure, and the vegetation index all have a significant influence on the spatial dispersal of air quality in the three urban agglomerations, among which the direct effect of public transport and the indirect effect and total effect of the vegetation index are the most significant. Therefore, the China’s three major urban agglomerations (TMUA) ought to adjust the industrial structure, regional coordinated development, and clean technology innovation.

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“…Haze pollution has become a roadblock on the road to the construction of ecological civilization, which has led the Chinese government and all sectors of society to actively explore effective ways to control haze pollution. Some scholars advocate the use of environmental policies to reduce haze pollution [ 48 – 51 ]. Because haze pollution has no boundary, China should ignore provincial boundaries, jointly defend and control resources, and cooperate to govern haze pollution [ 52 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Does environmental regulation reduce China’s haze pollution? An empirical analysis based on panel quantile regression

2020

PLoS ONE

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Haze pollution in China is very serious and has become the source of mortality, affecting the health and lives of residents. The Chinese government adopts different policy measures to reduce haze pollution. The impact of different types of environmental regulations on haze pollution has become a hot topic for academics and government departments. Based on panel data from 2005–2017, this paper studies the effect of different types of environmental regulations on haze pollution in 30 provinces of China using a panel quantile model. The results show that when haze pollution changes from a low quantile to a high quantile, the marginal impact of command-and-control environmental regulation on haze pollution changes from 0.122 to -0.332. Command-and-control environmental regulation can reduce haze pollution, but its impact is not significant. The main reason for this finding is that environmental law enforcement is not strict. The marginal impact of economically restrained environmental regulation on haze pollution changes from -14.389 to 49.939. Economically restrained environmental regulation can reduce haze pollution in low quantiles, but not in high quantiles. The collection of sewage charges fees is far less than the total profit, which has no deterrent effect on enterprises. The marginal impact of public participation in environmental regulation on haze pollution changes from 0.154 to -0.002. Public participation in environmental regulation cannot reduce haze pollution in low quantiles, but can in high quantiles; however its impact becomes insignificant. This study reveals the quantile-based discrepancy in the effect of environmental regulation on haze pollution, and offers a new perspective for research on the effects of environmental regulation.

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Effects of environmental regulation on air pollution control in China: a spatial Durbin econometric analysis

Cited by 29 publications

References 59 publications

Strategic Interactions in Environmental Regulation: Evidence From Spatial Effects Across Chinese Cities

Strategic Interactions in Environmental Regulation: Evidence From Spatial Effects Across Chinese Cities

What drives the spatio-temporal distribution and spillover of air quality in China’s three urban agglomerations? Evidence from a two-stage approach

Does environmental regulation reduce China’s haze pollution? An empirical analysis based on panel quantile regression

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