Environmental regulations and redistribution of polluting industries in transitional China: Understanding regional and industrial differences

Wu, Jiawei; Wei, Yehua Dennis; Chen, Wen; Yuan, Feng

doi:10.1016/j.jclepro.2018.09.042

Cited by 77 publications

(42 citation statements)

References 45 publications

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“…By implementing command and control regulations, efficient environmental policies can encourage regions to shift to clean production, restructure economic structure, and retrofit existing facilities to meet newly imposed environmental standards [33][34][35][36]. They also propel the technology diffusion process.…”

Section: Environmental Policies and Pollution Reduction In Chinamentioning

confidence: 99%

Agglomeration, Environmental Policies and Surface Water Quality in China: A Study Based on a Quasi-Natural Experiment

Wang

Wei

2019

Sustainability

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This paper investigates the relationship between agglomeration and water pollution, and the effect of environment policies on water pollution reduction. The study employs a quasi-natural experimental method by coupling river water monitoring sites and development zones (DZs). We found that DZs were associated with water quality deterioration in their surrounding areas. However, the “Water Ten Plan”, which was released in 2015 and requires DZs to install water treatment facilities, effectively reduced water pollution, especially for those DZs with more polluting industries. Our findings provide evidence that agglomeration can facilitate efficient processing of wastewater by enabling its centralized treatment. The paper provides quantitative evidence for the effect of agglomeration and environmental policies from a micro point of view.

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Section: Environmental Policies and Pollution Reduction In Chinamentioning

confidence: 99%

Agglomeration, Environmental Policies and Surface Water Quality in China: A Study Based on a Quasi-Natural Experiment

Wang

Wei

2019

Sustainability

Self Cite

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“…In the 1970s, Walter et al proposed the pollution haven hypothesis in response to increasingly stringent ERs and the gradual decline in the output value and export of PIIs in developed countries. The pollution haven hypothesis points out that PIIs tend to be located in areas with low environmental standards, which are considered "pollution ports" [3].…”

Section: Introductionmentioning

confidence: 99%

“…Using the panel data of PIIs from 30 provinces (cities and districts) in China with the period of 2000 to 2017, this paper constructed the 'redistribution index' covering the change of PII output value and quantity, and made a comprehensive analysis of the transfer of PIIs in China from the regional and industrial perspectives, reflecting the role of regional distinction and industrial categories in the choice of PII redistribution [3]. Spatial econometric approaches were used to explore the spatial effects of China's PIIs.…”

Section: Introductionmentioning

confidence: 99%

Research on the Distribution of Pollution-Intensive Industries and Their Spatial Effects in China

et al. 2019

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Investigation of the spatial transfer laws and dynamic mechanisms of pollution-intensive industries (PIIs) is becoming a popular field in regional sustainable development. Based on the statistical data of 30 provinces (cities and districts) in China from 2000 to 2017, this paper applied the Gini coefficient and a redistribution index as well as spatial econometric approaches to explore the spatial distribution characteristics and spatial effects of China’s PIIs. PIIs in China have experienced two transition stages: ‘from north to south’ and ‘from east to central and west’, and the spatial distribution imbalance of PIIs has been gradually improved. In terms of industries, all PIIs in the northeast region were removed; PIIs in the eastern region not only transferred outward but also have experienced an agglomeration effect. The central and western regions were the main areas where transferring PIIs were settling. The distribution of PIIs in China showed a strong spatial correlation and a relatively stable path dependence. Through use of the spatial Dubin model, it is concluded that command-and-control environmental regulation and transportation costs had a negative impact on the distribution of PIIs in this region and a positive impact on the surrounding regions; thus, the pollution haven hypothesis was supported. Resource factors, technological innovation levels, and industrial structure—whether direct or indirect—had an inhibitory effect on the distribution of PII. Capital factors not only promoted the development of PIIs in this region, but also promoted it in other regions. Agglomeration economics had a positive impact on the distribution of PIIs in this region, and a negative impact on the surrounding regions.

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“…The Chinese government is paying more attention to the environment than Western countries did at a comparable stage of their economic development [41][42][43]. In China, environmental regulations are mostly formulated at the central government level and enforced at the local government level [44].…”

Section: Regulations Social Network and Pollutant Emissions Abatementmentioning

confidence: 99%

“…Other control variables including economic development, economic openness, economic structures, and energy intensity are also incorporated [6,9,42,56,61]. Foreign direct investment (FDI) is used to represent the openness of a city and is defined as the FDI that is actually utilized in a given year divided by GDP.…”

Section: Dependent and Independent Variablesmentioning

confidence: 99%

Effects of Agglomeration, Environmental Regulations, and Technology on Pollutant Emissions in China: Integrating Spatial, Social, and Economic Network Analyses

Wang

Wei

2019

Sustainability

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Using prefecture-level panel data and social media data, this study investigates how industrial agglomeration, environmental regulations, and technology affect the pollutant intensity and spillover channels of pollutant emissions by integrating social and economic networks into a Spatial Durbin Model. The results show that industrial agglomeration, environmental regulations, and technological inputs facilitate the emissions intensity abatement. The outcomes also confirm that these factors affect the intensity of pollutant emissions in neighboring regions through social, economic, and spatial networks. Agglomeration has a negative spillover effect on the intensity of pollutant emissions in surrounding cities via social and spatial networks, while environmental regulations affect pollutant emissions intensity in related cities through social networks. Technology can effectively lower pollutant emissions through economic networks. These findings highlight the network linkages and spillover channels affecting the intensity of pollutant emissions.

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Environmental regulations and redistribution of polluting industries in transitional China: Understanding regional and industrial differences

Cited by 77 publications

References 45 publications

Agglomeration, Environmental Policies and Surface Water Quality in China: A Study Based on a Quasi-Natural Experiment

Agglomeration, Environmental Policies and Surface Water Quality in China: A Study Based on a Quasi-Natural Experiment

Research on the Distribution of Pollution-Intensive Industries and Their Spatial Effects in China

Effects of Agglomeration, Environmental Regulations, and Technology on Pollutant Emissions in China: Integrating Spatial, Social, and Economic Network Analyses

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