Heterogeneous green innovations and carbon emission performance: Evidence at China's city level

Xu, Le; Fan, Meiting; Yang, Lili; Shao, Shuai

doi:10.1016/j.eneco.2021.105269

Cited by 487 publications

(167 citation statements)

References 88 publications

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“…Reverse causality and omitted variables could lead to endogeneity between land urbanization and carbon emissions Wang et al, 2021b). To further conduct the robustness check of the benchmark regression results in Table 3 and resolve the endogeneity problem, we chose the instrumental variables of land urbanization and applied the two-stage least squares (2SLS), generalized moment method (GMM), and limited information maximum likelihood (LIML) methods to perform regression analysis (Xu et al, 2021;Nepal et al, 2021;Safiullah et al, 2021). Following the existing literature, we chose night-time light data, the number of plots of land leasing, and the area of land leasing as the instrumental variables of land urbanization, respectively.…”

Section: Empirical Results Between Land Urbanization and Total Co 2 Emissionsmentioning

confidence: 99%

“…The data of the number of plots of land leasing, and the area of land leasing were obtained from the Chinese Land and Resources Yearbook and Chinese Land and Resources Statistical Yearbook. The night-time light data is a good instrumental variable for economic development, including land urbanization (Mellander et al, 2015;Xu et al, 2021). Land leasing scale and area are also reasonable instrumental variables for land urbanization, because they are directly related to land urbanization, but they are also exogenous variables controlled by the Chinese central government.…”

Section: Empirical Results Between Land Urbanization and Total Co 2 Emissionsmentioning

confidence: 99%

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How Does Land Urbanization Promote CO2 Emissions Reduction? Evidence From Chinese Prefectural-Level Cities

Tang

2021

Front. Environ. Sci.

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The process of land urbanization may result in a great change in land use structure, land use intensity, and efficiency, which could further lead to an increase in carbon dioxide (CO2) emissions. Despite rich literature on the link between urbanization and CO2 emissions, the mechanism through which land urbanization promotes CO2 emissions reductions has not been fully investigated. To address this gap, this study theoretically and empirically explores the mechanism of land urbanization’s influence on CO2 emissions by integrating land use optimization and high-quality industrial development into a unified framework. Firstly, the theoretical mechanism analysis indicates that low-level industrial development and land use management promote the increase of CO2 emissions per unit of land at the extensive land use stage; however, high-quality industrial development and land use optimization lower CO2 emissions per unit of land at the intensive land use stage. Subsequently, a STIRPAT model and a spatial adaptive semi-parametric model are employed to verify the relationship between the land urbanization rate and total CO2 emissions. The results indicate that the land urbanization rate and total CO2 emissions present an inverted U-shaped relationship. In addition, the mediating mechanism of the advanced industrial structure, CO2 emissions per unit of GDP, and CO2 emissions per unit of land, are studied using the mediating effect model. Results indicate that CO2 emissions reduction can be achieved by promoting the advanced industrial structure, reducing CO2 emissions per unit of GDP or reducing CO2 emissions per unit of land. Ultimately, this study showed that the Chinese government may reduce CO2 emissions by promoting land use structure optimization, land use intensity regulation, land use efficiency improvement, and adjusting energy consumption structure, upgrading industrial structure, and promoting emission efficiency technologies.

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Section: Empirical Results Between Land Urbanization and Total Co 2 Emissionsmentioning

confidence: 99%

Section: Empirical Results Between Land Urbanization and Total Co 2 Emissionsmentioning

confidence: 99%

How Does Land Urbanization Promote CO2 Emissions Reduction? Evidence From Chinese Prefectural-Level Cities

Tang

2021

Front. Environ. Sci.

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“…In general, the advantage of the Overall Malmquist Index method proposed by Afsharian and Ahn (2015) for ETFP calculation is that this method corrects the problem of false increase in the feasible range compared with the traditional calculation method, so that ETFP can be more accurately calculated (Jia et al, 2021;Xu et al, 2021;Zhao et al, 2018;Zhu et al, 2021).…”

Section: Dependent Variablementioning

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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“…However, China’s fossil energy consumption still accounts for more than 80% of the total energy consumption. It is generally recognized that reducing CO 2 emissions is crucial to the achievement of sustainable development goals [ 9 ]. For developing countries such as China, the government must continue to improve the living standards of people.…”

Section: Introductionmentioning

confidence: 99%

Towards Carbon Neutrality: The Impact of Renewable Energy Development on Carbon Emission Efficiency

Dong

Qin

Zhang

et al. 2021

IJERPH

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The energy transition and carbon emission efficiency are important thrust and target functions, respectively, for achieving carbon neutrality in the future. Using a sample of 30 Chinese provinces from 2006 to 2018, we measured their carbon efficiency using the game cross-efficiency data envelopment analysis (DEA). Then, a random forest regression model was used to explore the impact of renewable energy development on regional carbon emission efficiency. The results are as follows. First, China’s carbon emission efficiency in the southeast coastal area was better than that in the northwest area. Second, renewable energy development first inhibited and then promoted carbon emission efficiency, and there existed a reasonable range. Third, through a regional heterogeneity analysis, the trend of the influence of renewable energy development on carbon emission efficiency was found to not be significantly different in eastern, central, and western China, but there was a certain gap in the reasonable range. Our study not only helps to promote the study of renewable energy development and the carbon neutral target, but also provides an important reference for Chinese policy-makers to design a reasonable carbon emissions reduction path.

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Heterogeneous green innovations and carbon emission performance: Evidence at China's city level

Cited by 487 publications

References 88 publications

How Does Land Urbanization Promote CO2 Emissions Reduction? Evidence From Chinese Prefectural-Level Cities

How Does Land Urbanization Promote CO2 Emissions Reduction? Evidence From Chinese Prefectural-Level Cities

Can Industrial Agglomeration Facilitate Green Development? Evidence From China

Towards Carbon Neutrality: The Impact of Renewable Energy Development on Carbon Emission Efficiency

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