Does Low-Carbon City Pilot Policy Alleviate Urban Haze Pollution? Empirical Evidence from a Quasi-Natural Experiment in China

Yan, Jinling; Zhao, Junfeng; Yang, Xiaodong; Su, Xufeng; Wang, Hai‐Ling; Ran, Qiying; Jia-heng, Shen

doi:10.3390/ijerph182111287

Cited by 34 publications

(16 citation statements)

References 60 publications

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“…Table 12 shows that green finance has a significant inhibitory effect on carbon emissions in the eastern and central regions at the level of 1% but insignificant in the western region. One potential reason is that the eastern region mainly gathers political, economic, and cultural centers, and the economic level is relatively developed (Yan et al, 2021). Therefore, the development of green finance can be better supported in the eastern region.…”

Section: Discussion On Regional Heterogeneity Resultsmentioning

confidence: 99%

The effect of green finance and unemployment rate on carbon emissions in china

Cui

Wang²,

Irfan³

et al. 2022

Front. Environ. Sci.

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China’s economy has developed rapidly since the reform and opening up, but under the long-term traditional extensive development model, energy consumption is excessive and carbon emissions rank first in the world. Therefore, how to reduce carbon emissions is a current hot issue in China. Although many scholars have found that green finance is the basic driving force to promote carbon emission reduction, its role path is diverse, and it still needs to be explored in width and depth. Especially in the green transformation stage of the economy, the potential unemployment risk is also a matter of concern. This study selects 30 provincial panel data from the Chinese mainland for the 2004–2019 years to investigate the impact of green finance on carbon emissions from the perspective of unemployment using ordinary least square (OLS), generalized method of moments (GMM), and mediating effect models. In addition, in order to avoid the bias of regression results caused by the cross-section dependence of the data, the feasible generalized least squares (FGLS) and the panel-corrected standard errors (PCSE) models are used for the robust test after correction. The findings show that 1) green finance has a significant inhibitory impact on carbon emissions; 2) green finance has significantly reduced the unemployment rate; 3) carbon emissions increase significantly with increasing the unemployment rate; and 4) there is regional heterogeneity in the effect of green finance on carbon emissions in eastern, central, and western China. Green finance in the eastern and central regions significantly inhibits carbon emissions, especially in the central region, while insignificantly in the western region. 5) According to the OLS and mediating effect regression results, economic growth and environmental regulation play a significant positive role in promoting carbon emissions. This study has theoretical reference significance for accelerating the realization of the dual carbon goal and alleviating phased unemployment.

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Section: Discussion On Regional Heterogeneity Resultsmentioning

confidence: 99%

The effect of green finance and unemployment rate on carbon emissions in china

Cui

Wang²,

Irfan³

et al. 2022

Front. Environ. Sci.

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“…Various environmental policies have always been one of the main instruments of the government to combat AP , especially in the top–down command-and-control environmental management system in China, where the government is supposed to be the leading force in combating AP [ 26 ]. Over the past period, many scholars have conducted in-depth analyses of the effects of different AP prevention and control policies [ 27 , 28 ].…”

Section: Literature Review and Policy Backgroundmentioning

confidence: 99%

Winning the Blue Sky Defense War: Assessing Air Pollution Prevention and Control Action Based on Synthetic Control Method

Zhang

Sun

Wang

et al. 2022

IJERPH

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Undoubtedly, the rapid development of urbanization and industrialization in China has led to environmental problems, among which air pollution is particularly prominent. In response, the Chinese government has introduced a series of policies, including the Air Pollution Control and Prevention Action Plan (APPA), which is one of the most stringent environmental regulations in history. The scientific evaluation of the implementation of this regulation is important for China to win the battle of blue sky. Therefore, this study uses a synthetic control method to explore the effects of APPA on air pollution (AP) based on data of 30 provinces from 2000 to 2019. The study concludes that (1) APPA significantly reduces AP in the treatment provinces, and subsequent robustness tests validate our findings. However, the persistence of the policy effect is short in some provinces, and the rate of AP reduction slows down or even rebounds in the later stages of the policy. (2) The reduction effect of APPA varies significantly between regions and provinces. (3) The results of mechanism tests show that APPA reduces AP through high-quality economic development, population agglomeration, control of carbon emissions, and optimization of energy structure. Based on the above findings, targeted recommendations are proposed to promote AP control in China and win the blue sky defense war.

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“…As a result of the acceleration of industrialization and the combustion of fossil fuels in recent decades, a large number of greenhouse gases represented by CO 2 are emitted, resulting in global surface temperatures increasing and more frequent freak weather (Khan et al 2019 ; Yan et al 2021 ). Currently, the Chinese government is dedicated to carbon emission reduction.…”

Section: Introductionmentioning

confidence: 99%

Does government intervention affect CO2 emission reduction effect of producer service agglomeration? Empirical analysis based on spatial Durbin model and dynamic threshold model

Yan

Yang

Nie

et al. 2022

Environ Sci Pollut Res

Self Cite

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Achieving carbon peak and carbon neutrality is an inherent requirement for countries to promote green recovery and transformation of the global economy after the COVID-19 pandemic. As “a smoke-free industry,” producer services agglomeration (PSA) may have significant impacts on CO 2 emission reduction. Therefore, based on the nightlight data to calculate the CO 2 emissions of 268 cities in China from 2005 to 2017, this study deeply explores the impact and transmission mechanism of PSA on CO 2 emissions by constructing dynamic spatial Durbin model and intermediary effect model. Furthermore, the dynamic threshold model is used to analyze the nonlinear characteristics between PSA and CO 2 emissions under different degrees of government intervention. The results reveal that: (1) Generally, China’s CO 2 emissions are path-dependent in the time dimension, showing a “snowball effect.” PSA significantly inhibits CO 2 emissions, but heterogeneous influences exist in different regions, time nodes, and sub-industries; (2) PSA can indirectly curb CO 2 emissions through economies of scale, technological innovation, and industrial structure upgrading. (3) The impact of PSA on China’s CO 2 emissions has an obvious double threshold effect under different degree of government intervention. Accordingly, the Chinese government should increase the support for producer services, dynamically adjust industrial policies, take a moderate intervention, and strengthen market-oriented reform to reduce CO 2 emissions. This study opens up a new path for the low-carbon economic development and environmental sustainability, and also fills in the theoretical gaps on these issues. The findings and implications will offer instructive guideline for early achieving carbon peak and carbon neutrality.

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Does Low-Carbon City Pilot Policy Alleviate Urban Haze Pollution? Empirical Evidence from a Quasi-Natural Experiment in China

Cited by 34 publications

References 60 publications

The effect of green finance and unemployment rate on carbon emissions in china

The effect of green finance and unemployment rate on carbon emissions in china

Winning the Blue Sky Defense War: Assessing Air Pollution Prevention and Control Action Based on Synthetic Control Method

Does government intervention affect CO2 emission reduction effect of producer service agglomeration? Empirical analysis based on spatial Durbin model and dynamic threshold model

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