文献类型：期刊文献

英文题名：Land urbanization and urban CO2 emissions: Empirical evidence from Chinese prefecture-level cities

作者：Tang, Maogang[1];Hu, Fengxia[2]

机构：[1]East China Univ Sci & Technol, Sch Business, Shanghai 200237, Peoples R China;[2]Shanghai Lixin Univ Accounting & Finance, Sch Stat & Math, Shanghai 201209, Peoples R China

年份：2023

卷号：9

期号：9

外文期刊名：HELIYON

收录：;WOS:【SCI-EXPANDED(收录号:WOS:001140585500001)】；

基金：This research was supported by the General Project of the Chinese National Social Science Fund "Land development right trans-action, land resource allocation mechanism and high-quality economic development" (21FJYB052) .

语种：英文

外文关键词：Land urbanization; Urban CO 2 emissions; Land use structure; Land use intensity; Land use efficiency China

摘要：Changes in land use and the resulting human practices in the land urbanization process would lead to variations in the function, intensity, and efficiency of CO2 emissions and greatly influence urban CO2 emissions. Therefore, using Chinese prefecture-level data for a time period ranging from 2003 to 2017, we systematically examine the mechanism of how land urbanization influences CO2 emissions based on land-use intensity regulation, land-use structure optimization, and land-use efficiency improvements. First, the benchmark results show that land urbanization's influence on urban CO2 emissions is significantly positive. This indicates that the consumption effect caused by land urbanization exceeds the agglomeration effect. Furthermore, the results of the nonlinear analysis using the spatial adaptive semi-parametric and semi-parametric spatial dynamic panel models show that the association between land urbanization and carbon emissions demonstrates an inverted U-shaped curve. Simultaneously, land urbanization represents a dynamic cumulative and spatial spillover effect on urban CO2 emissions. Second, a mechanism analysis reveals that effective land urbanization can promote CO2 emission reductions through efficiency improvement, structure optimization and proper control of the land-use intensity. Additionally, we analyze heterogeneity in regional differences. In the line with study findings, the central government in China should promote the optimization of territorial spatial governance, optimize energy consumption structures, make comprehensive use of its funds, tax policies, industrial development support, and market-oriented mechanisms, and further optimize the layout of urban space.