Spatial spillover effects of environmental regulations on air pollution: Evidence from urban agglomerations in China

Tang, Feng; Du, Huibin; Lin, Zaifu; Zuo, Jian

doi:10.1016/j.jenvman.2020.110998

Cited by 229 publications

(71 citation statements)

References 48 publications

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“…Furthermore, this study only employed a conventional econometric method; further research would consider spatial spillover effects. The exploration of spatial spillover effects is conducive to the in-depth analysis of the driving forces behind CO 2 emissions (Feng et al 2020 ; Hu and Wang 2020 ; Meng et al 2017 ).…”

Section: Resultsmentioning

confidence: 99%

How does economic policy uncertainty affect CO2 emissions? A regional analysis in China

Liu

Zhang

2021

Environ Sci Pollut Res

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More recently, the COVID-19 pandemic outbreak has created massive economic policy uncertainty (EPU). EPU and its economic fallout have been a hot topic of study; however, the impact of EPU on CO 2 emissions has been seldom addressed to date. This paper investigates the effects of the EPU on CO 2 emissions. It elucidates the role of EPU in moderating the environmental regulation-CO 2 emissions nexus at the national and regional levels using the panel data model and provincial panel data from 2003 to 2017 in China. The main empirical results are as follows. The EPU has a negative impact on carbon emissions; however, this relationship is non-significant even at the 10% level in the central and western region datasets. Environmental regulation positively increases the CO 2 emissions implying that the green paradox occurs in the whole and western regions datasets. From the perspective of the moderating effect of uncertainty, EPU exerts a positive impact upon the environmental regulation-CO 2 emissions nexus in the whole and western region datasets. The moderating effect is not significant in the eastern and central regions. The results demonstrate that the re-examination of the EKC hypothesis is inconclusive. Kuznets relationship between economic growth and CO 2 emissions for the national, eastern, and central samples was confirmed. In contrast, CO 2 emissions monotonically rise as GDP grows for western datasets. Based on the overall findings, some policy implications were put forward. We recommend that the local government should consider EPU to improve the institutional environment. Further, different regions should implement various environmental policies according to regional conditions maximizing the emission reduction potential.

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Section: Resultsmentioning

confidence: 99%

How does economic policy uncertainty affect CO2 emissions? A regional analysis in China

Liu

Zhang

2021

Environ Sci Pollut Res

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“…The stronger the environmental regulation intensity is, the more the enterprises with high pollution, high energy *, **, and ** represent statistically significant at the significance level of 10%, 5%, and 1%, respectively; P value and critical value were obtained by bootstrap sampling 1000 times consumption, and high emission which are inclined to move abroad to reduce the environmental treatment costs, forming a "pollution shelter" effect on other countries (Deng et al 2020;Feng et al 2020). In Table 6, the threshold value of environmental regulation is 1.125.…”

Section: Analysis Of Threshold Effect Of Ofdi On Carbon Dioxide Emission Intensitymentioning

confidence: 99%

Inward foreign direct investment, outward foreign direct investment, and carbon dioxide emission intensity-threshold regression analysis based on interprovincial panel data

Cai

Firdousi

Cai

et al. 2021

Environ Sci Pollut Res

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Based on the panel data of 30 provinces (except for Tibet, Hong Kong, Macao, and Taiwan) in China from 2005 to 2016, a nonlinear threshold regression model and a carbon emission expansion models were constructed to empirically analyze the threshold effect of inward foreign direct investment (IFDI) and outward foreign direct investment (OFDI) on carbon dioxide emission intensity in China. The results show that (1) China's OFDI has increased carbon dioxide emission intensity while the IFDI has a significant inhibitory effect on carbon dioxide emission intensity. (2) The impact of the OFDI on carbon dioxide emission intensity gets influenced by the threshold effect of population size, economic development level, technology level, and environmental regulation. (3) The impact of the IFDI on carbon dioxide emission intensity also has threshold characteristics affected by population size, economic development level, and technological level. Hence, China should introduce more IFDI, optimize the structure of the OFDI, and exert its environmental improvement effect to satisfy the carbon emission reduction goal earlier.Keywords Inward foreign direct investment . Outward foreign direct investment . Carbon dioxide emission intensity . Panel threshold regression

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“…Furthermore, this study only employed a conventional econometric method, further research would take spatial spillover effects into consideration. The exploration of spatial spillover effects is conducive to the in-depth study of the driving forces behind CO2 emissions (Feng et al 2020, Hu and Wang 2020, Meng et al 2017.…”

Section: Robustness Testmentioning

confidence: 99%

How Does Economic Policy Uncertainty Affect CO2 Emissions? A Regional Analysis in China

Liu

Zhang

2021

Preprint

View full text Add to dashboard Cite

More recently, the COVID-19 pandemic outbreak has created massive economic policy uncertainty (EPU). EPU and its economic fallout have been a hot topic of study, however, the impact of EPU on CO2 emissions has been seldom addressed to date. This paper investigates the direct impact of the EPU on CO2 emissions and indirect effect via the environmental regulation at the national and regional levels using the panel data model and provincial panel data from 2003 to 2017 in China. The empirical results show that the central region is the most special one, which all explanatory variables except energy consumption are all non-significant even at the 10% level. For other samples, there is a significant positive correlation between EPU and CO2 emissions, whether in the national or regional level. Additionally, environmental regulation alone can achieve the purpose of curtailing carbon emissions. However, when the EPU is taken into consideration, environmental regulation exerts a significantly positive effect on CO2 emissions, leading to unintended increase in emissions. Moreover, the Environmental Kuznets Curve (EKC) hypothesis was confirmed in the national and eastern samples, while CO2 emissions increase monotonically as economic level grows for western datasets. Based on the overall findings, some policy implications were put forward.

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Spatial spillover effects of environmental regulations on air pollution: Evidence from urban agglomerations in China

Cited by 229 publications

References 48 publications

How does economic policy uncertainty affect CO2 emissions? A regional analysis in China

How does economic policy uncertainty affect CO2 emissions? A regional analysis in China

Inward foreign direct investment, outward foreign direct investment, and carbon dioxide emission intensity-threshold regression analysis based on interprovincial panel data

How Does Economic Policy Uncertainty Affect CO2 Emissions? A Regional Analysis in China

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