The impact of carbon market pilots on air pollution: evidence from China

Li, Xing; Hu, Zhigao

doi:10.1007/s11356-021-14995-z

Cited by 31 publications

(10 citation statements)

References 70 publications

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“…In order to study the causal effect between industrial agglomeration and ETFP, we set up the following model based on the method of Lin et al (2011), Li et al (2021), Hu et al (2015) and Liu and Zhang (2021):…”

Section: Methodsmentioning

confidence: 99%

Can Industrial Agglomeration Facilitate Green Development? Evidence From China

Xie

2021

Front. Environ. Sci.

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Industrial agglomeration can promote economic growth through knowledge spillover and cooperation, while it may also bring serious pollution problems. Therefore, clarifying the relationship between industrial agglomeration and green development is of great significance to the realization of China’s sustainable development. In order to study the causal relationship between industrial agglomeration and green development, this paper first adopts the Overall Malquist Index method to more accurately measure the green development of Chinese cities characterized by environmental total factor productivity (ETFP). Subsequently, this paper uses the panel data of prefecture-level cities from 2003 to 2016 to study the causal relationship between industrial agglomeration and green development. We found that China’s current industrial agglomeration can promote green development. Mechanism analysis shows that industrial agglomeration can promote green development through improving the technological innovation, strengthening government intervention and optimizing the industrial structure. Finally, heterogeneity analysis shows that industrial agglomeration has a stronger role in promoting green development in areas where the economy is more developed, the degree of resource dependence is lower, and the degree of industrial agglomeration is higher. This paper not only provides theoretical and policy references for the research on industrial agglomeration and green development, but also provides experience reference for other developing countries.

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Section: Methodsmentioning

confidence: 99%

Can Industrial Agglomeration Facilitate Green Development? Evidence From China

Xie

2021

Front. Environ. Sci.

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“…Second, regional transfer of goods and services inevitably results in the distortions of carbon as well as pollutant emission records, creating boundary disputes or at least inaccuracy in emission coverage. Third, emission management via ETS can sometimes be conflictual to pollutant control [44]. This is because emission management via ETS is based on the "emitters pay" principle, and those who are willing to pay might acquire an additional emission allowance, which could still make the ETS effective in market terms, but could also potentially increase the emission of air pollutants.…”

Section: Carbon Pricing Initiatives At the Local Levelmentioning

confidence: 99%

Adopting Carbon Pricing Tools at the Local Level: A City Case Study in Portugal

Ferreira¹,

Dias

Liu³

2022

Sustainability

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Debates on carbon costs and carbon pricing to accelerate the reduction of greenhouse gas (GHG) emissions are emerging as cities develop local policies and programs to achieve carbon neutrality. This paper focuses on how cities formulate economic instruments and adopt carbon pricing experiments to support their climate objectives. Extensive literature is available on science-policymaking interface Integrated Assessment Models (IAM) and on the two mainstream approaches of carbon cost formulation—Social Cost of Carbon (SCC) and Marginal Abatement Cost (MAC). Although, the literature on how governments develop climate policy instruments, particularly towards a local carbon cost, is recent. We start by reviewing these essential concepts and tools for carbon cost formulation. We then critically review a set of local carbon pricing experiments, totaling fourteen international cities, and confirm a great demand for scientifically robust, verifiable, and transferable carbon cost methodologies at the local level. We thus propose an approach to assess the short-term technology cost of CO2 emission reduction in the mobility sector in Matosinhos municipality, Portugal. Our approach shows that a carbon cost methodology at the local level with robust, verifiable, and transferable results is possible. We advocate for a methodological advance to estimate versatile CO2 prices suitable for local conditions.

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“…Energy consumption increased by 9 times, and industrial emissions increased by 15 times from 1978 to 2020 (World Bank Data, 2020), which inferred that the rapid development of industry has brought excessive energy consumption and industrial emissions (Liu et al, 2021). According to the Environmental Performance Index (EPI) report released by Yale University and Columbia University in 2018, China's EPI score in 2020 was 37.3, ranking 120th out of 180 countries EPI Results, 2021, indicating that China's environmental problems continue to worsen (Li et al, 2021b). On 22 September 2020, China committed at the 75th Session of the United Nations General Assembly: It will strive to reach its carbon emission peak by 2030 and realize carbon neutrality by the 2060s (Wang et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…On 22 September 2020, China committed at the 75th Session of the United Nations General Assembly: It will strive to reach its carbon emission peak by 2030 and realize carbon neutrality by the 2060s (Wang et al, 2021). This means that the Chinese government will face greater challenges in saving energy and reducing industrial emissions in the future (Lin and Zhu, 2019;Li et al, 2021b). Within this context, how to realize the sustainable development of China's industry has been a topic worth investigating deeply (Cai and Hu, 2022;Li and Wang, 2022;Yang et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Impacts of Industrial Agglomeration and Energy Intensity on Industrial Eco-Efficiency-Analysis Based on Spatial Correlation and Mediating Effect

Zhong

Hamzah

Yin

et al. 2022

Front. Environ. Sci.

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As a measuring tool of industrial sustainable development, industrial eco-efficiency works as a link between economic benefit and environmental pressure. Industrial agglomeration and energy have always been considered an important influence factor on industrial eco-efficiency. The Chinese government is facing the challenge of reaching a Carbon Peak by the 2060s, within this context, it is critically important to explore the relationship between industrial agglomeration and industrial eco-efficiency, moreover, energy intensity may play a key role between them, which should not be ignored. Therefore, based on the STIRPAT model, this paper constructs a spatial autocorrelation model (SAC model) to analyze the provincial panel dataset from 2009 to 2018, and it is found that: First, the industrial agglomeration has an inverted N-shaped relationship with industrial eco-efficiency, and industrial eco-efficiency indeed have a positive spatial spillover effect. Second, energy intensity plays a mediating role, industrial agglomeration would affect industrial eco-efficiency through energy intensity. Therefore, it is suggested that the government should introduce differentiated industrial agglomeration policies as well as energy-saving policies. In addition, this paper suggests that policymakers should adhere to consistent industrial sustainable development policies.

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The impact of carbon market pilots on air pollution: evidence from China

Cited by 31 publications

References 70 publications

Can Industrial Agglomeration Facilitate Green Development? Evidence From China

Can Industrial Agglomeration Facilitate Green Development? Evidence From China

Adopting Carbon Pricing Tools at the Local Level: A City Case Study in Portugal

Impacts of Industrial Agglomeration and Energy Intensity on Industrial Eco-Efficiency-Analysis Based on Spatial Correlation and Mediating Effect

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