The effects of China's sustainable development policy for resource-based cities on local industrial transformation

Li, Qiangyi; Zeng, Fanxin; Liu, Shaohui; Yang, Mian; Xu, Fei

doi:10.1016/j.resourpol.2020.101940

Cited by 135 publications

(61 citation statements)

References 47 publications

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“…What is more, we control weather variables like average temperature (AT), average relative humidity (ARH), precipitation (PRE), and sunshine hours (SH) because the changes in weather conditions would affect carbon emissions (Q. Li et al., 2021; X. Li et al., 2021). We collect the county's economic variables from the Chinese city statistical yearbooks.…”

Section: Methods and Datamentioning

confidence: 99%

“…Specifically, cities with abundant natural resources usually rely on resource‐based industries, crowding out other industries (Krugman, 1987; Rajan & Subramanian, 2011; Torvik, 2001) in a phenomenon referred to as the “Dutch disease.” The phenomenon is widespread in resource‐prosperous regions, and most of the industries in resource‐based cities are labor‐intensive, requiring relatively low labor skills and technological progress (Suocheng et al., 2007). Single industrial structure and low‐efficiency production models in resource‐exhausted cities have led to the emission of large amounts of CO 2 (James & Aadland, 2011; Q. Li et al., 2021; X. Li et al., 2021; Takatsuka et al., 2015; Tonts et al., 2012). More importantly, the “resource curse” phenomenon, common in resource‐based cities, has also limited the economic development of resource‐based regions (Atkinson & Hamilton, 2003; Brunnschweiler & Bulte, 2008; Ross, 2015).…”

Section: Introductionmentioning

confidence: 99%

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Does Transfer Payments Promote Low‐Carbon Development of Resource‐Exhausted Cities in China?

Wang

2021

Earth's Future

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Employing a time‐varying difference‐in‐differences model and a data set collected from 2,735 counties in China from 2003 to 2017, this study examines the causal relationship between Chinese government transfer payments to resource‐exhausted cities (TPREC) and carbon emissions for the first time. Our results show that TPREC could significantly reduce carbon emissions of resource‐exhausted cities in China. A variety of robustness tests supports our findings. Our further mechanism analysis shows that TPREC mainly affects carbon emissions through the following three channels: (a) promoting technological progress and industrial upgrades; (b) increasing vegetation carbon sequestration; (c) strengthening government environmental regulations. Finally, this paper analyzes the spatial heterogeneity of the carbon emission reduction effect of TPREC and finds that the most significant reduction effect of TPREC is in the western region and coal‐exhausted cities. This paper provides new empirical evidence for the role of transfer payments in promoting low‐carbon development using a unique set of data. Our findings provide new insights for decision‐makers to facilitate the low‐carbon development of resource‐exhausted cities.

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Section: Methods and Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Does Transfer Payments Promote Low‐Carbon Development of Resource‐Exhausted Cities in China?

Wang

2021

Earth's Future

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“…Different regions have different resource endowment conditions and development characteristics in different areas. China's State Council defines "resource-based cities" and promoting the sustainable development of resource-based areas as a significant strategic issue for developing countries, as well as a worldwide problem [31]. First, the State Council of China has set the three indicators of industrial structure, employment structure, and resource market share, and cities that meet one of them are considered to be mining cities.…”

Section: Heterogeneity Analysis Of Hsr On Eepmentioning

confidence: 99%

“…The economy of the central and western regions is still under the pressure of transformation. The central and western regions should improve the construction of HSR infrastructure and formulate long-term development plans [31]. While implementing HSR construction, the government sector should also cultivate and expand high-tech industrial agglomeration and optimize the employment structure.…”

Section: Analysis On the Impact Mechanism Of Hsr Operation On Eepmentioning

confidence: 99%

Does High-Speed Rail Operation Reduce Ecological Environment Pressure?—Empirical Evidence from China

Jiang

Liu

2022

Sustainability

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With improved productivity, the impact of social and economic development on the ecological environment is becoming more and more significant, and the transformation of transportation modes often accompanies the transformation of the economic development mode. It is essential to study the impact of high-speed rail (HSR) on the environment. This article constructs a compiled index Ecological Environment Pressure (EEP) evaluation system. The spatial analysis tool is then used to explore the temporal and spatial evolution characteristics of EEP in China. The Difference-in-Difference (DID) method and the Propensity Score Matching (PSM) method are used to quantitatively calculate the impact of HSR operations on EEP based on Panel Data. The results show that the EEP in China decreased significantly from 2003 to 2018, and therefore the quality of China’s ecological environment is improving. The regression coefficient of HSR on EEP is significantly negative, indicating that HSR operations will reduce EEP. Additionally, the HSR operation in the eastern and central regions negatively impacts the EEP. At the same time, the HSR operations will also reduce the EEP of resource-based cities, especially for resource-based cities in the central region. The degree of industrial transformation (DIT) and degree of employment transformation (DET), combined with the implementation of HSR operations, can significantly reduce the EEP. It is suggested to formulate more focused actions and policies to reduce EEP and effectively promote sustainable social development.

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“…Political choices and regulation can help maintain high levels of social, cultural, and environmental values for RBCs [20,21]. Industrial structure [22], regional distribution [23], degree of opening to the outside world [24], technology innovation [25], and other aspects also affect the sustainable development of RBCs.…”

Section: Introductionmentioning

confidence: 99%

Evolution of the Industrial Innovation Ecosystem of Resource-Based Cities (RBCs): A Case Study of Shanxi Province, China

Yao

Shang

et al. 2021

Sustainability

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Constructing and exploring the evolution mechanism of an industrial innovation ecosystem in resource-based cities (RBCs) is the most effective way to solve the contradiction between economic development, energy shortage, and environmental degradation. Taking 10 typical RBCs in Shanxi Province as examples, this paper used the method of system dynamics (SD) to build a model of the industrial innovation ecosystem of RBCs and set up scenarios to simulate and predict the evolution of the industrial innovation ecosystem of RBCs. The results showed that the industrial innovation ecosystem of RBCs is a complex system composed of four subsystems: innovation players, innovation content, innovation resources, and innovation environment. In innovation players, the increase in the amount of talent has a more obvious effect on technology level and GDP than R&D funding. In innovation content, the improvement of management level has a slow and continuous positive impact on GDP. Technology achievements, once implemented, will improve GDP more than management progress does. In innovation resources, human capital has greater potential for an increase in GDP and per capita consumption expenditure. In innovation resources, technology level plays an important role in slowing down the deterioration of the ecological environment. This study enriched the theoretical paradigm of the research on the industrial innovation ecosystem, and provided effective strategies to solve the development problems of RBCs.

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The effects of China's sustainable development policy for resource-based cities on local industrial transformation

Cited by 135 publications

References 47 publications

Does Transfer Payments Promote Low‐Carbon Development of Resource‐Exhausted Cities in China?

Does Transfer Payments Promote Low‐Carbon Development of Resource‐Exhausted Cities in China?

Does High-Speed Rail Operation Reduce Ecological Environment Pressure?—Empirical Evidence from China

Evolution of the Industrial Innovation Ecosystem of Resource-Based Cities (RBCs): A Case Study of Shanxi Province, China

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