An empirical study on the dynamic effect of regional industrial carbon transfer in China

Xu, Jing; Zhang, Ming; Zhou, Min; Li, Hailong

doi:10.1016/j.ecolind.2016.09.002

Cited by 59 publications

(24 citation statements)

References 45 publications

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“…Under the assumption of limited rationality, this paper constructs a game model with the central government, the local governments in areas with transferred operations, and resource-exhausted transfer enterprises as the main actors in the game. Furthermore, the Pollution Haven Hypothesis [5][6][7][8][9] is considered. Speci cally, this paper uses MATLAB R2018b to analyse the relationship and in uence between (1) e degree of penalties imposed by the central government on local governments, the rewards and penalties imposed by local governments on transfer enterprises, and the level of regulation enforcement by local governments are key factors that make a replication dynamics system eventually evolve into a stable state.…”

Section: Resultsmentioning

confidence: 99%

“…e cross-regional transfer behaviour not only eases the shortage of resources in the eastern enterprises, but also promotes regional economic development by bringing a large amount of physical capital investment, advanced technology, management experience, and employment opportunities to the central and Western regions [1][2][3][4]. However, the transfer of eastern enterprises' resources has also brought serious environmental problems, thus leading to the "Pollution Haven" e ect [5][6][7][8][9]. Some scholars believe that most of the eastern enterprises which have transferred operations to the central and Western regions are polluting enterprises that implement transfer in the name of industrial gradient transfer [10].…”

Section: Introductionmentioning

confidence: 99%

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Evolutionary Game Analysis of the Stress Effect of Cross‐Regional Transfer of Resource‐Exhausted Enterprises

Wang

Yang

et al. 2019

Complexity

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is paper analyses the stress e ect of cross-regional transfer of resource-exhausted enterprises from eastern China to central and Western China. A tripartite evolutionary game model including the central government, the local government of the operation recipient region, and the resource-exhausted transfer enterprises is established under the assumption of limited rationality. By analysing the evolutionary equilibrium and using MATLAB, for example, analysis, the relationship between equilibrium probability and various parameters, as well as the key in uencing factors of equilibrium strategy were explored. e research shows, rst, that the degree of punishment imposed by the central government on the local governments, the implementation of regulation by the local governments, and the amount of rewards/punishments implemented by the local governments for transfer enterprises are the key factors a ecting evolutionary stability. Second, it shows that the local governments' penalty for transfer enterprises has a signi cant impact on the convergence speed of enterprises' strategic choice to "Completely Control Pollution." Finally, from the perspective of the relationships between the central government and the local governments, as well as with transfer enterprises, countermeasures and suggestions are put forward to e ectively prevent the stress e ect of the cross-regional transfer behaviour of resource-exhausted enterprises.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evolutionary Game Analysis of the Stress Effect of Cross‐Regional Transfer of Resource‐Exhausted Enterprises

Wang

Yang

et al. 2019

Complexity

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show abstract

“…Dou and Shen [19] explored the environmental impact of pollution-intensive industries in central China, and found that the transfer of polluting industry has led to the transfer of pollutants such as wastewater, SO 2 and soot to the central region. Xu et al [29] studied the relationship between regional industrial transfer and carbon transfer in China, and found that the relationship between industrial transfer and carbon transfer had an “inverted U” shape. Although not all provinces had exceeded the turning point, industrial transfer had increased the transfer of carbon emissions.…”

Section: Literature Reviewmentioning

confidence: 99%

How Industrial Transfer Processes Impact on Haze Pollution in China: An Analysis from the Perspective of Spatial Effects

Liu

Dong

2019

IJERPH

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Industrial transfer from advanced regions is a good way to foment economic development in less advanced regions. Nevertheless, does industrial transfer intensify or alleviate haze pollution? To answer this question, this study employed the shift-share method and spatial panel models to explore how industrial transfer processes impact haze pollution in the case of China. The main results are as follows: (1) With the advances made in industrial transfer and upgrading, China has entered the stage of decoupling between the economic development level and haze pollution. (2) Industrial transfer could effectively alleviate the degree of haze pollution in the transferred-out areas, but it would have a significant accelerating effect on haze pollution in the transferred-in areas. Compared with non-polluting industries, polluting industries would be responsible for a large deterioration in the local air quality. (3) Environmental regulations, as the main factor mitigating environmental pollution, do not achieve the desired effects and significantly reduce the regional pollution levels that led to haze. Therefore, the effects of industrial transfer should also be comprehensively considered in government of undertake regions. There would likely be great economic costs if the old path of “pollution first and treatment later” is followed. This study not only advances the existing literature, but also is of considerable interest to policy makers.

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“…In addition, because of differences in the economic development, technological progress and diffusion effects among regions, industrial transfer has been occurring [32]. Xu et al [33] reveal that for every 1% increase in industrial transfer, there is a 0.327% increase in industrial carbon transfer before passing the turning point. Sun et al [34] find that the transfer amount of carbon emissions in China's most provinces is relatively large, and on the whole, the carbon emission import is higher than the export.…”

Section: Literature Reviewmentioning

confidence: 99%

The Moderating Effect of R&D Investment on Income and Carbon Emissions in China: Direct and Spatial Spillover Insights

Peng

Tan

2019

Sustainability

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R&D investment plays a great role in achieving China’s low-carbon economy goals, which has a moderating effect on the relationship between income and carbon emissions. Furthermore, such a moderating effect may have spatial differences, given the possible spatial dependence of carbon emissions. Therefore, this paper explores the direct and spatial spillover moderating effects of R&D investment by adopting the panel spatial Durbin model and data of 30 provinces in China during 1998–2015. The empirical results firstly indicate that R&D investment moderates the positive impact of income on local carbon emissions for both the non-spatial and spatial model, and that more R&D investment can make carbon emissions reach the turning point earlier. Secondly, R&D investment in the local province increases the positive influence of local income on neighboring carbon emissions, which mainly results from the transfer effect of carbon emissions rather than the knowledge spillovers effect. The results are indicated to be robust by three types of robustness analyses. Finally, FDI and patents are the main constrained forces of local and neighboring carbon emissions; coal consumption is the main driver of local carbon emissions.

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An empirical study on the dynamic effect of regional industrial carbon transfer in China

Cited by 59 publications

References 45 publications

Evolutionary Game Analysis of the Stress Effect of Cross‐Regional Transfer of Resource‐Exhausted Enterprises

Evolutionary Game Analysis of the Stress Effect of Cross‐Regional Transfer of Resource‐Exhausted Enterprises

How Industrial Transfer Processes Impact on Haze Pollution in China: An Analysis from the Perspective of Spatial Effects

The Moderating Effect of R&D Investment on Income and Carbon Emissions in China: Direct and Spatial Spillover Insights

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