{"title":"Spatial Heterogeneity of China’s Environmental Regulation on Industrial Pollution: Evidence from a Top–Down Environmental Enforcement Action","authors":"Yuhong Li","doi":"10.1142/s2345748121500226","DOIUrl":null,"url":null,"abstract":"To obtain precise information about enterprises’ pollution control and take corresponding environmental protection measures is the key to preventing and controlling industrial pollution. Taking the lead–acid battery industry as an example, this paper employs data from the Environmental Enforcement Action to analyze the urban–rural and inter-provincial distributions of pollution-intensive enterprises and to quantitatively verify the spatial differences in China’s environmental regulation on industrial pollution. The study finds that lead–acid battery manufacturing enterprises are mainly located in rural areas instead of urban areas; most pollution-intensive firms located in industrial parks, especially those approved by governments below the provincial level. The multivariate logistic model analysis finds that environmental regulation in urban districts is more strict than that in towns and villages, while the suburban areas are the laxest; environmental regulation in national-level development zones is more strict than that in provincial-level development zones, while zones below the provincial level are the laxest. In general, the environmental regulation is stricter in urban areas than in rural areas, and stricter in clustered space than in scattered space, while most inter-provincial environmental regulations have no significant differences. Local governments should effectively allocate conventional environmental law enforcement resources and shift the focus of law enforcement downwards to parks below the provincial level, and on suburbs and townships.","PeriodicalId":43051,"journal":{"name":"Chinese Journal of Urban and Environmental Studies","volume":" ","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chinese Journal of Urban and Environmental Studies","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.1142/s2345748121500226","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"URBAN STUDIES","Score":null,"Total":0}
引用次数: 0
Abstract
To obtain precise information about enterprises’ pollution control and take corresponding environmental protection measures is the key to preventing and controlling industrial pollution. Taking the lead–acid battery industry as an example, this paper employs data from the Environmental Enforcement Action to analyze the urban–rural and inter-provincial distributions of pollution-intensive enterprises and to quantitatively verify the spatial differences in China’s environmental regulation on industrial pollution. The study finds that lead–acid battery manufacturing enterprises are mainly located in rural areas instead of urban areas; most pollution-intensive firms located in industrial parks, especially those approved by governments below the provincial level. The multivariate logistic model analysis finds that environmental regulation in urban districts is more strict than that in towns and villages, while the suburban areas are the laxest; environmental regulation in national-level development zones is more strict than that in provincial-level development zones, while zones below the provincial level are the laxest. In general, the environmental regulation is stricter in urban areas than in rural areas, and stricter in clustered space than in scattered space, while most inter-provincial environmental regulations have no significant differences. Local governments should effectively allocate conventional environmental law enforcement resources and shift the focus of law enforcement downwards to parks below the provincial level, and on suburbs and townships.