The effects of China's supporting policy for resource-exhausted cities on local energy efficiency: An empirical study based on 284 cities in China

Yu, Weihua; Peng, Yiwen; Yao, Xin

doi:10.1016/j.eneco.2022.106165

Cited by 17 publications

(4 citation statements)

References 47 publications

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“…In terms of accessibility and accuracy, data on coal, oil, and natural gas are not readily available at city levels, whereas electricity consumption is extensive and precise. Thus, the energy input data in this paper were measured using city electricity consumption [31]. The expected output gross regional product is represented by (y) alongside the unexpected output of industrial sulfur dioxide (s), industrial dust (d), and industrial wastewater (w).…”

Section: Research Methods and Variable Description 41 Evaluation Of E...mentioning

confidence: 99%

“…By establishing an emission trading system, the level of marketization can be improved, perfecting the government-market relationship and enhancing the development of factor markets to cut energy usage per GDP unit, and improving the green total factor energy efficiency through green innovation [29]. In accordance with the strict guidelines of the "civilized city" policy, resource-based regions can reduce their energy consumption by investing more in new technological and scientific advances; this improvement in energy efficiency is especially significant [30,31].…”

Section: Related Research On Energy Efficiencymentioning

confidence: 99%

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How Does Digital Finance Affect Energy Efficiency?—Characteristics, Mechanisms, and Spatial Effects

Liu

Zhang

2023

Sustainability

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The boundaries of traditional financial services have been expanded by digital finance, which has boosted their effectiveness and quality while encouraging energy-efficient production and lifestyles, and also influencing energy efficiency. This connection between energy efficiency and digital finance is empirically investigated in this paper using panel data from 278 cities from 2011 to 2019. The main findings indicate that energy efficiency can be greatly increased via digital finance. Moreover, usage depth and digitalization level can improve energy efficiency while coverage inhibits it; developed digital finance regions, central regions, and resource-based cities have all seen improvements in energy efficiency. Furthermore, green technology innovation and R&D investment are mechanisms for digital finance that can improve energy efficiency. Finally, further research illustrates that digital finance can improve local energy efficiency while inhibiting neighboring areas’ efficiency, though this effect is insignificant. This research provides additional impetus for a rise in energy efficiency due to the growth of digital finance.

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Section: Research Methods and Variable Description 41 Evaluation Of E...mentioning

confidence: 99%

Section: Related Research On Energy Efficiencymentioning

confidence: 99%

How Does Digital Finance Affect Energy Efficiency?—Characteristics, Mechanisms, and Spatial Effects

Liu

Zhang

2023

Sustainability

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“…That is, infrastructure upgrading promotes the synergistic effect of resource-based cities and non-resource-based cities and has a stronger driving effect on Pc in non-resource cities. This may be because the economic development of resource-based cities mainly depends on the secondary industry, because the industrial structure is single, and because the dependence on natural resources is high [88,89]. The environmental issues are more prominent than those of non-resource-based cities, which will affect the policy effect of infrastructure upgrading to some extent.…”

Section: Analysis Of Resource Endowment Heterogeneitymentioning

confidence: 99%

Can Infrastructure Upgrading Achieve the Synergistic Effect of Pollution Reduction and Carbon Reduction? Evidence from the High-Speed Rail and “Broadband China” Strategies

Zhang,

Ma,

Liu

2024

Sustainability

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Infrastructure upgrading has an important impact on environmental protection and low-carbon development. Based on the panel data of 277 prefecture-level cities in China from 2005 to 2021, we examined the impact of infrastructure upgrading on the synergistic effect of pollution reduction and carbon reduction (Pc) by using the multiple-period difference-in-differences method. The results show that infrastructure upgrading can achieve Pc. Additionally, compared with resource-based cities, peripheral cities, and central and western cities, the impact of infrastructure upgrading on Pc is more significant in non-resource-based cities, central cities, and eastern cities. Meanwhile, infrastructure upgrading can promote Pc by promoting scientific and technological talent agglomeration (Tg) and industrial agglomeration (Ig). Finally, the policy of synergy analysis shows that compared with the single pilot cities, the dual pilot cities have a more obvious effect on Pc, and becoming first high-speed rail (HSR) cities and then becoming “Broadband China” strategy (BCS) cities has a stronger effect on Pc. Therefore, to effectively alleviate the dual environmental pressures of pollution reduction and carbon reduction, emphasis should be placed on promoting the common development of transportation infrastructure and digital infrastructure.

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“…The majority of extant research centers on government intervention in resource-depleted cities and the promotion of high-quality development in such areas from the standpoint of local governments. This includes examining the effects of government policies on resource-exhausted city programs [3], and industrial transformation in resource-depleted regions [4], energy efficiency [1], as well as regional innovation in China [5]. All of the findings suggest that government policies significantly contribute to the advancement of resource-depleted cities.…”

Section: Introductionmentioning

confidence: 99%

Impact of Different Models of Relocating Coal Mining Villages on the Livelihood Resilience of Rural Households—A Case Study of Huaibei City, Anhui Province

Wang,

Zhu

et al. 2023

Land

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Applying the livelihood resilience theory to the relocation of coal mining villages, the present study explored the levels and the factors hindering livelihood resilience among farmers under different relocation models. This has important implications for enhancing the livelihood resilience of farmers during coal mining relocation and promoting rural revitalization in coal mining areas. Based on the livelihood resilience framework and the actual conditions of mining areas, we formulated an evaluation index system, employed the stratified mean square deviation method to determine weights, used the comprehensive index method to assess the livelihood resilience level, and investigated the obstacles to livelihood resilience among farmers under different relocation models using the random forest model. The results indicate the following: first, the overall livelihood resilience level in the coal mining relocation area of Huaibei City is low and is not significantly different among the four types, with the ranking being as follows: central village agglomeration type > township-centered village construction type > mining-village combination type > suburban community type. Significant differences exist in the indicators and dispersion levels of the resilience dimensions of buffering capacity, self-organization ability, and learning ability among farmers under different relocation models. Second, factors such as household deposits, labor force quantity, social networks, and participation in village collective meetings significantly affect the livelihood resilience level of farmers. However, the degree of influence varies under different relocation models. Third, improvements such as increasing employment opportunities, investing in education resources, and building social networks are necessary to improve farmers’ livelihoods under the four types of relocation models.

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The effects of China's supporting policy for resource-exhausted cities on local energy efficiency: An empirical study based on 284 cities in China

Cited by 17 publications

References 47 publications

How Does Digital Finance Affect Energy Efficiency?—Characteristics, Mechanisms, and Spatial Effects

How Does Digital Finance Affect Energy Efficiency?—Characteristics, Mechanisms, and Spatial Effects

Can Infrastructure Upgrading Achieve the Synergistic Effect of Pollution Reduction and Carbon Reduction? Evidence from the High-Speed Rail and “Broadband China” Strategies

Impact of Different Models of Relocating Coal Mining Villages on the Livelihood Resilience of Rural Households—A Case Study of Huaibei City, Anhui Province

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