Effects of land urbanization and land finance on carbon emissions: A panel data analysis for Chinese provinces

Zhang, Wenjing; Xu, Honggang

doi:10.1016/j.landusepol.2017.02.006

Cited by 196 publications

(79 citation statements)

References 65 publications

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“…Ouyang and Lin ( 2017 ) studied the relationship between urbanization and carbon emissions in India, China, and Japan. Zhang and Cheng ( 2009 ) and Zhang and Xu ( 2017 ) found a positive correlation between urbanization, energy consumption, and carbon emissions in China from a national perspective. Ding and Li ( 2017 ) used the LMDI decomposition method and found significant regional differences in the influence of urbanization on carbon emissions.…”

Section: Literature Reviewmentioning

confidence: 99%

“…As the literature on this grows, scholars are no longer limited to studying how changes in urban and rural population structures affect national carbon emissions; namely, the research has become more comprehensive. From the perspective of land urbanization and financing, Zhang and Xu ( 2017 ) found that the rate of land urbanization played a weak role in reducing carbon emissions. Fan et al ( 2017 ) employed the Divisia decomposition method to explore the impact of urbanization on China’s residential carbon emissions from the perspective of collection and decomposition.…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Heterogeneity in the relationship between carbon emission performance and urbanization: evidence from China

Zhang

Tian

Shi

et al. 2020

Mitig Adapt Strateg Glob Change

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Global change caused by carbon emissions alone has become a common challenge for all countries. However, current debates about urbanization and carbon emissions generally do not take into account the heterogeneities in urbanization and economic development levels. The goal of this study is to revisit the urbanizationemissions nexus by considering such heterogeneities in the Chinese context. The results reveal that there is significant heterogeneity in the total factor carbon emission performance index across provinces. Specifically, the relationship between carbon emission performance and urbanization reflects a U-shaped curve. Urbanization is found to have a stronger inhibiting effect on carbon emission performance when economic development levels improve. The results suggest that tailoring policies to each region's conditions, promoting investments in energysaving and emissions-reducing technologies, and improving the use of public transportation could be mitigation strategies for global change that lead to lowcarbon urbanization.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Heterogeneity in the relationship between carbon emission performance and urbanization: evidence from China

Zhang

Tian

Shi

et al. 2020

Mitig Adapt Strateg Glob Change

View full text Add to dashboard Cite

show abstract

“…Therefore, land finance stimulates an increasing academic interest. In the context of China's special land and fiscal systems, land has become the most important asset of local governments [11]. It has also become an important financing vehicle to China's economy with the commercialization of housing and the marketization of land [1].…”

Section: Literature Reviewmentioning

confidence: 99%

Empirical Analysis of the Driving Factors of China’s ‘Land Finance’ Mechanism Using Soft Budget Constraint Theory and the PLS-SEM Model

et al. 2019

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“Land finance” refers to the key fiscal strategy in which local governments in China generate revenue through land grant premiums and land tax revenues. A burgeoning body of literature has focused on the driving factors of China’s land finance from different aspects including fiscal decentralization, revenue decentralization, competition among local governments, land marketization, infrastructure development, and economic development. However, little research has provided a comprehensive perspective integrating social, economic and institutional aspects to investigate the driving forces of these unique and profound issues in China. This study aims to investigate the driving factors and working mechanism of land finance. A theoretical and empirical model was proposed using soft budget constraint theory and least squares structural equation modeling (PLS-SEM). The panel data of 35 Chinese major cities were assessed between 2006 and 2015. The empirical results contend the following: (1) the land transfer and fiscal systems provide the key impetus for land financing because the land transfer system forms a stable modality, and the fiscal system is an important incentive for land financing; (2) the effects of the economic development and political system are insignificant; and (3) the political and land systems significantly influence economic development. Our contributions focus on two aspects. Firstly, a comprehensive framework of factors germane to land finance is constructed. Secondly, a new research methodology for land use study is proposed. To the best of our knowledge, the current study is the first to employ the PLS-SEM method to delineate and verify the influence paths between multiple driving factors and land finance in different cities. Hence, research reliability can be improved.

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“…Meanwhile, environmental regulations and technological innovation will reduce carbon emissions. Zhang and Xu took 10 years of data from China as a sample and adopted the STIRPAT model to empirically test if the urbanization of the land and the economy had significantly impacted carbon emissions; they found the urbanization rate of land tended to reduce carbon emissions [17]. Ali, et al took 45 years of Singapore data and used an auto-regressive distributed lag model to conclude that urbanization inhibited the impact of carbon emissions in Singapore and that urbanization improved environmental quality by reducing carbon emissions [18].…”

Section: Literature Reviewmentioning

confidence: 99%

Research on the Effect of Urbanization on China’s Carbon Emission Efficiency

Cai

Liu

2019

Sustainability

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Improvements in carbon emission efficiency are crucial to China’s economic growth; carbon emission reduction and urbanization are two of the focuses of research on carbon emission efficiency. This paper selects 2000–2015 panel data from 30 provinces in China, evaluates the carbon emission efficiency of each province using the DEA method and, based on the STIRPAT expansion form, empirically looks at the effect of urbanization on carbon emission efficiency. The results show that, during the chosen time frame, not only did the carbon emission efficiency of China’s provinces show an upward trend but the carbon emission efficiency of the Eastern, Central and Western regions differed markedly, with the highest efficiency in the Eastern region, the second highest in the Central region and the lowest in the Western region. After controlling for population density, economic development level, energy intensity and industrial structure, urbanization we determine that urbanization can indeed improve carbon emission efficiency, although there are regional differences. Urbanization is conducive to improvements in carbon emission efficiency in both the Central and Western regions but the promotion effect of the Western region is stronger. The effect in the Eastern region is not significant. Based on the conclusions above, this paper puts forward policy recommendations that promote both China’s lower carbon efficiency and future environmental protection.

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Effects of land urbanization and land finance on carbon emissions: A panel data analysis for Chinese provinces

Cited by 196 publications

References 65 publications

Heterogeneity in the relationship between carbon emission performance and urbanization: evidence from China

Heterogeneity in the relationship between carbon emission performance and urbanization: evidence from China

Empirical Analysis of the Driving Factors of China’s ‘Land Finance’ Mechanism Using Soft Budget Constraint Theory and the PLS-SEM Model

Research on the Effect of Urbanization on China’s Carbon Emission Efficiency

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