Using cooperative game model of air pollution governance to study the cost sharing in Yangtze River Delta region

Liu, Xiaoxiao; Wang, Wenwen; Wu, Wenqi; Zhang, Lu; Wang, Lujing

doi:10.1016/j.jenvman.2021.113896

Cited by 26 publications

(12 citation statements)

References 14 publications

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“…erefore, preferential policies such as financial subsidies, tax relief and financial incentives should be implemented as soon as possible to encourage more institutions to participate in the development of green finance. [61][62][63].…”

Section: Policy Recommendationsmentioning

confidence: 99%

The Moderating Effect and Threshold Effect of Green Finance on Carbon Intensity: From the Perspective of Capital Accumulation

Zhang

2022

Complexity

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Climate change has caused serious threats to global economic development and human well-being, and green finance is a new way to achieve ecological, economic, and social sustainable development, and it also has important theoretical significance and policy value. This study firstly aims to study the impact of green finance on regional carbon intensity. Then, it aims to determine the moderating effect of capital stock per capita on the relationship between green finance and carbon intensity based on moderating effect model as well as to investigate the threshold effect of capital stock per capita on the relationship between green finance and carbon intensity based on threshold effect model. The main conclusions are as follows: (1) Every 1% increase in green finance will lead to a 2% decrease in carbon intensity, and the inhibition of green finance on carbon intensity is most obvious in northeast and east China. (2) The capital stock per capita has a significant moderating effect, which could enhance the restraining effect of green financial development on carbon intensity, and this moderating effect is most obvious in northeast China. (3) The capital stock per capita has a threshold effect in the process of green finance development to suppress carbon intensity. The higher the capital stock per capita, the stronger the inhibition effect of green finance development on carbon intensity. Therefore, in the process of capital accumulation, attention should be paid to improve the relevant legal system and policy guarantee, optimization of financial structure, and stimulation of the capital allocation effect of green finance. Simultaneously, in order to strengthen the inhibitory effect of green finance on carbon intensity, differentiated green finance development policies should be formulated based on factor endowment structure and comparative advantages of different regions.

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Section: Policy Recommendationsmentioning

confidence: 99%

The Moderating Effect and Threshold Effect of Green Finance on Carbon Intensity: From the Perspective of Capital Accumulation

Zhang

2022

Complexity

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“…Tang examined the persistent institutional challenges in contemporary China, focusing on urban governance issues related to government accountability, adapting the system to the type of problem, and encouraging cross-sectoral cooperation [27]. Authors such as [28,29] constructed a regional air pollution collaborative governance. Authors such as [30] constructed a trilateral dynamic game model for regional cooperation in haze pollution management in China from the perspective of government heterogeneity, analyzed the mixed strategy Nash equilibrium from game theory and studied the feasible mechanism and necessary conditions for establishing the cooperation model.…”

Section: Literature Reviewmentioning

confidence: 99%

A Tripartite Evolutionary Game and Simulation Analysis of Transportation Carbon Emission Reduction across Regions under Government Reward and Punishment Mechanism

2022

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Pollution and carbon reduction is a key strategic direction for ecological civilization in China, and a hot issue of concern for the government and the whole society. The main goal of this paper was to consider the regional externalities of traffic emissions and clarify the relationship between provincial and central government strategies under the government reward and punishment mechanism. This paper considers the unevenness of regional transportation emissions, constructs a three-party evolutionary game model among transportation carbon deficit provinces, transportation carbon surplus provinces, and the central government, discusses the evolutionary stability of the game under different strategies of the three parties, and analyzes the influence of each element on the game structure. The study shows that: Environmental losses can increase the evolutionary speed of active emission reduction in transportation carbon deficit provinces, and the probability of supporting cross-regional carbon emission reduction in transportation carbon surplus provinces decreases slightly with the increase and the probability of central government regulation increases. The central government has a certain binding effect on transportation carbon deficit provinces and carbon surplus provinces through fines, and cross-zone cooperation subsidies are conducive to promoting carbon deficit provinces to actively reduce emissions. The cross-region compensation of carbon deficit provinces can promote the governments of carbon surplus provinces to support cross-region carbon emission abatement, and the cost of regulation will reduce the probability of central government regulation. Finally, Matlab simulation is used to verify the conclusions and provide countermeasures and suggestions for cross-regional abatement of regional transportation emissions by the central government.

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“…First, the collaborative governance of air pollution prevention and control in the YRD should be seen as an impetus to strengthen the cooperative effects of inter-regional air pollution prevention and control. Although the collaborative governance of regional air pollution has obvious advantages in reducing the cost of emission reduction (Xiao Liu et al, 2022), the long-term effectiveness of the YRD's regional air pollution policy is obviously insufficient (Wang and Zhao, 2021). Moreover, the collaborative governance of air pollutants (such as NOx-VOC) has benefits for human health and crop production (Ding et al, 2022).…”

Section: Spatial Associations and Policy Implications Of Air Pollutantsmentioning

confidence: 99%

Break point identification and spatiotemporal dynamic evolution of air pollutants: An empirical study from Anhui province, east China

Wang

Gui²,

Wang³

et al. 2022

Front. Environ. Sci.

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The new modality of inter-regional joint prevention and control is increasingly important to the integrated process of collaborative governance of air pollutants. Therefore, it has become necessary to analyze the degree of interaction among air pollutants within and between cities, master the dynamics of their spatiotemporal distribution and its influencing factors, and diagnose the primary obstacle factors. Long-term data on the concentrations of six air pollutants among 16 cities of Anhui province from 2015 to 2020 were analyzed using harmonic regression, the coupling coordination degree model, the obstacle degree model, the logarithmic mean Divisia index (LMDI), and exploratory spatial data analysis (ESDA). Over all, the annual mean concentrations of five of these pollutants (NO2, SO2, CO, PM10, and PM2.5) decreased to a certain extent over time, whereas O3 concentrations increased. The biggest decrease was observed in BZ city, where SO2 decreased by 80.60% (halving time: −2.03 ± 0.02 years), and the biggest increase was observed in CZ city, where O3 increased by 113.85% (doubling time: 1.74 ± 0.01 years). The O3 concentrations in most cities reached their break points starting in 2018, but the break points of other air pollutants appeared earlier than that of O3, mostly before 2018. With the exception of NO2 and O3, the halving times of other air pollutants were basically shorter than the doubling times. The high degree of interaction among air pollutants within and between cities contrasted sharply with the low degree of coordination. An analysis of hotspot evolution revealed that particulate matter (PM10 and PM2.5) migrated to northern Anhui, NO2 and O3 agglomerated to central Anhui, and CO eventually gathered in the Wanjiang City Belt. The primary obstacle factors of air pollutants in Anhui were particulate matter, SO2 and NO2. The seasonal differences in primary obstacle factors were most evident in 2020: NO2 dominated in winter (in 10 cities), SO2 dominated in southern Anhui, and particulate matter dominated in northern and central Anhui in spring. Other seasons were almost entirely dominated by particulate matter. Industrial structure was found to be more effective in reducing industrial carbon emissions, and technological improvement was found to be more advantageous in reducing industrial particulate matter, NOx and SO2. Finally, the policy implications of these results and suggestions for strengthening the inter-city joint prevention and control of air pollutants are discussed.

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Using cooperative game model of air pollution governance to study the cost sharing in Yangtze River Delta region

Cited by 26 publications

References 14 publications

The Moderating Effect and Threshold Effect of Green Finance on Carbon Intensity: From the Perspective of Capital Accumulation

The Moderating Effect and Threshold Effect of Green Finance on Carbon Intensity: From the Perspective of Capital Accumulation

A Tripartite Evolutionary Game and Simulation Analysis of Transportation Carbon Emission Reduction across Regions under Government Reward and Punishment Mechanism

Break point identification and spatiotemporal dynamic evolution of air pollutants: An empirical study from Anhui province, east China

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