Impact of unconventional natural gas development on regional water resources and market supply in China from the perspective of game analysis

Chen, Yizhong; Li, Jing; Lu, Hongwei; Yang, Yiyang

doi:10.1016/j.enpol.2020.111750

Cited by 14 publications

(6 citation statements)

References 41 publications

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“…Studies have demonstrated that rapid urbanization can lead to the deterioration of habitat conditions and the decline of ecosystem structure and function [17]. Undoubtedly, urbanization has exacerbated the dilemma of economic development and environmental protection [18][19][20]. Accelerated urbanization in China, especially in the form of the emergence of urban sprawl, has become a common problem among Chinese cities; it marks socio-economic development but also brings about ecological problems that cannot be neglected, especially excessive CE issues [21,22].…”

Section: Introductionmentioning

confidence: 99%

Spatially Non-Stationary Response of Carbon Emissions to Urbanization in Han River Ecological Economic Belt, China

Zhen-wei

Mao

et al. 2022

IJERPH

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Within the context of the “30·60 dual carbon” goal, China’s low-carbon sustainable development is affected by a series of environmental problems caused by rapid urbanization. Revealing the impacts of urbanization on carbon emissions (CEs) is conducive to low-carbon city construction and green transformation, attracting the attention of scholars worldwide. The research is rich concerning the impacts of urbanization on CEs but lacking in studies on their spatial dependence and heterogeneity at multiple different scales, especially in areas with important ecological statuses, such as the Han River Ecological Economic Belt (HREEB) in China. To address these gaps, this study first constructed an urbanization level (UL) measurement method. Then, using a bivariate spatial autocorrelation analysis and geographically weighted regression model, the spatial relationships between UL and CEs from 2000 to 2020 were investigated from a multiscale perspective. The results were shown as follows. The total CEs in the HREEB witnessed an upsurge in the past two decades, which was mainly dispersed in the central urban areas of the HREEB. The ULs in different regions of the HREEB varied evidently, with high levels in the east and low levels in the central and western regions, while the overall UL in 2020 was higher than that in 2000, regardless of the research scale. During the study period, there was a significant, positive spatial autocorrelation between UL and CEs, and similar spatial distribution characteristics of the bivariate spatial autocorrelation between CEs and UL at different times, and different scales were observed. UL impacted CEs positively, but the impacts varied at different grid scales during the study period. The regression coefficients in 2020 were higher than those in 2000, but the spatial distribution was more scattered, and more detailed information was provided at the 5 km grid scale than at the 10 km grid scale. The findings of this research can advance policy enlightenment for low-carbon city construction and green transformation in HREEB and provide a reference for CE reduction in other similar regions of the world.

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Section: Introductionmentioning

confidence: 99%

Spatially Non-Stationary Response of Carbon Emissions to Urbanization in Han River Ecological Economic Belt, China

Zhen-wei

Mao

et al. 2022

IJERPH

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“…Thus, these interregional barriers make it difficult to achieve balanced development within Jiangsu Province. Game thinking is one plausible explanation for the unbalanced regional development in Jiangsu Province [62].…”

Section: Game Thinkingmentioning

confidence: 99%

Exploring the Coordinated Development of Smart-City Clusters in China: A Case Study of Jiangsu Province

Shi,

Liang,

et al. 2024

Land

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As urbanization has accelerated, China has started to build smart cities, which have formed smart-city clusters. It is critical to coordinate development within smart-city clusters to enhance the efficiency of city-cluster construction. From the perspective of demographic economics, this study innovatively constructed an evaluation system for the coordinated development of smart-city clusters and utilized the coupled coordination degree model to conduct an in-depth study of smart-city clusters in Jiangsu Province. The results show that there are clear differences in the development between the three regions of Jiangsu Province: Southern Jiangsu, Central Jiangsu, and Northern Jiangsu. The development within Jiangsu Province is imbalanced, where the overall development trend is high in the southern region and low in the northern region. The main driving factors include geography, the Matthew effect, game thinking, and industrial structure. Accordingly, the results suggest the following recommendations for the coordinated development of smart-city clusters: strengthening cross-regional cooperation, promoting data sharing and interoperability, deepening synergistic industrial development, and expanding innovation capacity.

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“…A few scholars have also explored water resource tax implementation. For example, Chen et al (2020) argued that implementing a water resource tax motivates residents and businesses to look for lower cost alternatives [23].…”

Section: Water Resource Taxmentioning

confidence: 99%

Does the Water Resource Tax Reform Bring Positive Effects to Green Innovation and Productivity in High Water-Consuming Enterprises?

Xu,

Gao,

Hua

et al. 2024

Water

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Water resources are a fundamental natural and strategic economic resource and are closely related to high-quality economic and societal development. This paper uses the pilot implementation of the water resource tax reform to explore the impact of that reform on the green innovation and total factor productivity of enterprises. The study sample includes data for high water-consuming A-share listed enterprises in Shenzhen and Shanghai, China, from 2007 to 2021; the double-difference method was used for the analysis. Study findings indicate that replacing water resource fees with taxes significantly improves the green innovation level and total factor productivity of enterprises. Green innovation has a significant partial mediating effect between the water resource tax reform and total factor productivity. The water resource tax reform promotes green innovation in enterprises, enhancing total factor productivity. When considering different types of enterprise property rights, the economic effect of the water resource tax reform is more pronounced in non-state-owned enterprises, compared to state-owned enterprises. This paper provides empirical evidence for expanding the pilot scope of the water resource tax reform.

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Impact of unconventional natural gas development on regional water resources and market supply in China from the perspective of game analysis

Cited by 14 publications

References 41 publications

Spatially Non-Stationary Response of Carbon Emissions to Urbanization in Han River Ecological Economic Belt, China

Spatially Non-Stationary Response of Carbon Emissions to Urbanization in Han River Ecological Economic Belt, China

Exploring the Coordinated Development of Smart-City Clusters in China: A Case Study of Jiangsu Province

Does the Water Resource Tax Reform Bring Positive Effects to Green Innovation and Productivity in High Water-Consuming Enterprises?

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