摘要：
Industrial land serves as the fundamental basis for urban economic development and significantly contributes to carbon emissions. Effective market mechanisms are crucial for reducing carbon emissions. As such, investigating the impact of market-oriented allocation of industrial land (MAIL) on carbon emissions and its pathways is of substantial practical importance for global low-carbon development. This study constructs a theoretical framework examining the influence of MAIL on carbon emissions, focusing on 285 Chinese cities from 2003 to 2020. The spatial econometric model is employed to analyze the impact of MAIL on carbon emissions. The results show that: first, from a national perspective, MAIL not only reduces carbon emissions within a region but also in neighboring regions. Higher MAIL leads to more effective carbon emission reductions, which are persistent and hysteresis in time. Path analysis demonstrates that MAIL reduces carbon emissions by promoting industrial upgrading and technological innovation. Second, there are differences in the timeliness of carbon emission reduction effects in cities of different scales and regions. For cities of different scales, the carbon reduction effect of MAIL is more stable in large and medium cities compared to megacities and small cities, but in the short term, MAIL will hinder the industrial upgrading of megacities and thus is not conducive to carbon reduction. For different regional cities, the carbon reduction effect of MAIL is more stable in other regions except northeast region, and in the short term, MAIL will inhibit technological innovation in northeast region, which is not conducive to carbon reduction. Consequently, it is essential not only to design a top-level reform plan for MAIL in China but also to establish differentiated reform policies for MAIL, tailored to the unique characteristics of cities with different scales and regions, to effectively reduce carbon emissions.
关键词：
City size;Regional economic integration;Spatial econometric analysis;Inverted U-shaped effect;Growth potential
摘要：
The continuous expansion of cities has led to prominent threats of urban housing shortage, inefficient land use, and environmental degradation. Determining an appropriate city size to promote REI is a fundamental problem in China's new-type urbanization period. This study investigated the impact of city size on REI from the spatio-temporal perspective, and performed an empirical investigation of such effects through spatial models, using panel data for 2004-2019 for 108 cities in the Yangtze River Economic Belt (YREB). The results demonstrate that city size has an inverted U-shaped effect on REI, and the effects vary across urban agglomerations in the YREB. Moreover, we calculated their growth potential from the REI perspective based on 2019 data. This study examined 108 cities and found that 30 of them had exceeded their optimal size for efficiency during the REI process, highlighting the need for spatial territorial governance, management, and planning. Of the remaining cities, 68 were near their REI efficiency-maximizing size, with no more than 20% growth potential. Only 6 cities had the potential to expand between 20% and 50%, while 4 cities had the capacity to grow by more than 50%. Therefore, governments must develop tailored land use and urban management policies for each city to enhance their REI.
作者机构：
[Liu, Chao] Shandong Univ, Qingdao Inst Humanities & Social Sci, Ctr Yellow River Ecosyst Prod, Qingdao 266237, Peoples R China.;[Liu, Chao; Li, Jia; Lu, Xinhai] Cent China Normal Univ, Coll Publ Adm, Fac Polit Sci, Wuhan 430079, Peoples R China.;[Cheng, Long] Shandong Univ, Sch Polit Sci & Publ Adm, Qingdao 266237, Peoples R China.;[Xu, Yueqing] China Agr Univ, Coll Land Sci & Technol, Beijing 100193, Peoples R China.;[Yang, Qingke] Nanjing Univ Finance & Econ, Sch Publ Adm, Nanjing 210023, Peoples R China.
通讯机构：
[Qingke Yang] S;School of Public Administration, Nanjing University of Finance & Economics, Nanjing, 210023, China<&wdkj&>Key Laboratory of Coastal Zone Exploitation and Protection, Ministry of Natural Resources, Nanjing, 210017, China
关键词：
Ecological-production-living functions;Ecological protection;Urbanization development;Territorial space optimization;Xiangyang city
摘要：
Exploring trade-offs of land use functions (LUFs) affected by urbanization and ecological construction in hilly-mountainous cities is vital to balancing urban development and ecological protection. Previous studies biased toward the single impact of urbanization or ecological construction on LUFs trade-offs. However, the interaction of urbanization and ecological construction affecting the trade-offs among LUFs remains unclear. This paper used Xiangyang City, Hubei Province, one of the typical hilly-mountainous cities in central China, as an empirical case study to explore the underlying mechanisms of the interactive effects of policies on ecological construction and urbanization-induced forces. The results showed that land-use production function (LPF), living function (LLF), and ecology function (LEF) maintained different growth trends and spatial patterns during 2000 and 2019. Compared with 2000, the synergy between LPF and LLF went stronger at the city-wide level, while the trade-off between LEF and LLF became stronger and the trade-off between LEF and LPF became weaker in 2019, respectively. Spatially, the trade-off of LLF and LEF was generally stronger than that of LPF and the other two LUFs. We also found that urbanization, environmental governance, and ecological restoration had differential impacts on the trade-offs among LUFs. As interaction with urbanization occurred, ecological restoration aggravated the trade-off between LPF and LEF while mitigating the trade-off between LLF and LEF; meanwhile, environmental governance aggravated the trade-off between LPF and LEF while mitigating the trade-off between LLF and the other two functions. Territorial space optimization in hilly-mountainous cities should focus on the collaborative promotion of urbanization and ecological construction for reconciling the trade-offs among LUFs.
