Regional differences in spatial spillover and hysteresis effects: A theoretical and empirical study of environmental regulations on haze pollution in China

Li, Li; Liu, Xuemin; Ge, Jiaoju; Chu, Xianghua; Wang, Jun

doi:10.1016/j.jclepro.2019.04.248

Cited by 79 publications

(28 citation statements)

References 86 publications

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“…Unlike previous scholars, Kheder and Zugravu (2012) found that stricter environmental regulations attracted investment and confirmed the existence of a strong pollution haven effect in France [34]. As for China, it does have a "pollution haven" hypothesis, and there is a nonlinear effect between environmental regulations and pollution [35,36].…”

Section: Environmental Regulations Haze Pollution and Carbon Emissionsmentioning

confidence: 86%

An Inverted-U Impact of Environmental Regulations on Carbon Emissions in China’s Iron and Steel Industry: Mechanisms of Synergy and Innovation Effects

Fan

Zhou

2020

Sustainability

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Based on a panel data of China’s iron and steel (IS) industry from 2000 to 2014, this paper explores the impact of environmental regulations on CO2 emissions in the industry. The results show that there is a clear inverted-U relationship between environmental regulations and CO2 emissions in the IS industry. Additionally, there are regional heterogeneity and regulatory intensity on the impact of environmental regulations on CO2 emissions. The results in the eastern region are consistent with the whole sample results, while the upward trend in the central region and the downward trend in the western region together lay the basis for the inverted-U shape of the whole sample. High environmental regulations affect CO2 emissions in an inverted-U shape, while low environmental regulations present a U shape. The mechanisms of environmental regulations affecting CO2 emissions are synergy effect and technological innovation effect. Finally, this paper proposes some policy recommendations according to the above findings.

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Section: Environmental Regulations Haze Pollution and Carbon Emissionsmentioning

confidence: 86%

An Inverted-U Impact of Environmental Regulations on Carbon Emissions in China’s Iron and Steel Industry: Mechanisms of Synergy and Innovation Effects

Fan

Zhou

2020

Sustainability

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“…The environmental regulation in China conforms to Porter's hypothesis to a certain extent (Xiang and van Gevelt, 2020), strict but reasonable environmental regulations can simultaneously achieve the dual goals of net industrial output growth and green productivity and increased investment in green technology research and development (Sun et al, 2020;Li and Du, 2021). Although command-controlled regulations and economicincentive regulations has been proved have nonlinear relationships with environment pollution (Zhang et al, 2020;Zhang et al, 2021;Pang et al, 2020;Wu et al, 2020), and the performance of command and control and market-based policy tools is different (Li et al, 2019;Li et al, 2019a), there are few quantitative analyses on the large-scale use of random inspection mechanisms in China. To analyze its impact on green innovation, this paper proposes hypothesis H1.…”

Section: Hypothesismentioning

confidence: 99%

Impact Analysis of Large-Scale Environmental Spot Inspection Policy on Green Innovation: Evidence From China

Chen

Ren

Chen

2021

Front. Environ. Sci.

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The spot inspection policy has been widely applied in environmental protection in China. This paper collects environmental enforcement announcements and green patent data published by Chinese government agencies from 2006 to 2015. First, it studies the impact of spot inspection on green innovation with the spatial Durbin model. Then, it analyzes spatial heterogeneity according to the eastern, central, and western regions including 29 provinces. The spot inspection policy significantly increases the green innovation of a current region with a negative spillover effect on neighboring regions. Even though this policy has the best performance in the eastern region, it leads to pollution transfer into the western region, while being ineffective in the central region. Further, analysis on the spatial spillover effects of the 29 provinces proves that 21 provinces have a positive spillover effect, while eight provinces have a negative spillover effect. The research study shows that although spot inspection is generally beneficial to green innovation, pollution transfer and policy failure exist because of spatial heterogeneity.

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“…In addition, there are spatial differences in the impacts of air pollution on regions [ 27 ]. Scholars have proved the existence of spatial heterogeneity in related research [ 28 , 29 , 30 ].…”

Section: Introductionmentioning

confidence: 99%

Asymmetric and Spatial Non-Stationary Effects of Particulate Air Pollution on Urban Housing Prices in Chinese Cities

Biao

Yang

2020

IJERPH

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Fine particulate matter(PM2.5) pollution will affect people’s well-being and cause economic losses. It is of great value to study the impact of PM2.5 on the real estate market. While previous studies have examined the effects of PM2.5 pollution on urban housing prices, there has been little in-depth research on these effects, which are spatially heterogeneous at different conditional quantiles. To address this issue, this study employs quantile regression (QR) and geographically weighted quantile regression (GWQR) models to obtain a full account of asymmetric and spatial non-stationary effects of PM2.5 pollution on urban housing prices through 286 Chinese prefecture-level cities for 2005–2013. Considerable differences in the data distributions and spatial characteristics of PM2.5 pollution and urban housing prices are found, indicating the presence of asymmetric and spatial non-stationary effects. The quantile regression results show that the negative influences of PM2.5 pollution on urban housing prices are stronger at higher quantiles and become more pronounced with time. Furthermore, the spatial relationship between PM2.5 pollution and urban housing prices is spatial non-stationary at most quantiles for the study period. A negative correlation gradually dominates in most of the study areas. At higher quantiles, PM2.5 pollution is always negatively correlated with urban housing prices in eastern coastal areas and is stable over time. Based on these findings, we call for more targeted approaches to regional real estate development and environmental protection policies.

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Regional differences in spatial spillover and hysteresis effects: A theoretical and empirical study of environmental regulations on haze pollution in China

Cited by 79 publications

References 86 publications

An Inverted-U Impact of Environmental Regulations on Carbon Emissions in China’s Iron and Steel Industry: Mechanisms of Synergy and Innovation Effects

An Inverted-U Impact of Environmental Regulations on Carbon Emissions in China’s Iron and Steel Industry: Mechanisms of Synergy and Innovation Effects

Impact Analysis of Large-Scale Environmental Spot Inspection Policy on Green Innovation: Evidence From China

Asymmetric and Spatial Non-Stationary Effects of Particulate Air Pollution on Urban Housing Prices in Chinese Cities

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