Spatial disequilibrium and influencing factors of carbon emission intensity of construction land in China

被引:12
|
作者
Li, Jia [1 ,7 ]
Jiao, Limin [1 ,2 ]
Li, Fenghang [3 ]
Lu, Xinhai [4 ]
Hou, Jiao [5 ]
Li, Runpeng [4 ]
Cai, Dawei [6 ]
机构
[1] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China
[2] Wuhan Univ, Key Lab Geog Informat Syst, Minist Educ, Wuhan 430079, Peoples R China
[3] Wuhan Univ, Dong Fureng Inst Econ & Social Dev, Wuhan 430072, Hubei, Peoples R China
[4] Cent China Normal Univ, Coll Publ Adm, Wuhan 430079, Peoples R China
[5] Wuhan Polytech Univ, Coll Management, Wuhan 430023, Peoples R China
[6] Renmin Univ China, Sch Publ Adm & Policy, Beijing 100872, Peoples R China
[7] Wuhan Univ, Sch Resource & Environm Sci, 129,Luoyu Rd, Wuhan 430079, Peoples R China
关键词
Construction land; Carbon emissions; Spatial disequilibrium; Spatial panel quantile regression; CO2; EMISSIONS; DECOMPOSITION ANALYSIS; DIOXIDE EMISSIONS; PROVINCIAL-LEVEL; DRIVING FORCES; ENERGY; CITY; URBANIZATION; INEQUALITY; REDUCTION;
D O I
10.1016/j.jclepro.2023.136464
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Revealing the spatial disequilibrium and influencing factors of carbon emission intensity of construction land (CEICL) is of great significance for improving the sustainable utilization of urban land, and helping to achieve global green and low-carbon development. This study estimates the CEICL of 285 cities in China from 2008 to 2019. Then, this paper analyzes the spatial disequilibrium of CEICL, and discusses the spatial heterogeneity of the influencing factors at different levels of CEICL. The results show that the CEICL has an inverted "U-shape", increasing first and decreasing later, with most cities concentrating on 0.3 million tons/km2 and some cities breaking through 3 million tons/km2. Also, the results imply a relatively large gap in CEICL among cities, despite a gradually narrowing trend of this gap. Among regions, the average annual difference of CEICL is about 0.1-0.4 million tons/km2 for cities of the same scale. Within regions, CEICL decreases with increasing city scale, and the agglomeration characteristics of high-high and low-low values within regions are significant and stable, and the spatial lock-in effect is strong. Moreover, the results infer a negative spatial spillover effect in CEICL in China, and the significant spatial heterogeneity effect of the seven factors (i.e., population agglomeration intensity, industrial structure upgrading, land development intensity, land investment intensity, economic output level, technological R&D and innovation, and ecological resource endowment) on CEICL in cities of different regions and scales. This study provides a scientific basis and empirical support for developing differentiated and feasible carbon reduction policies based on cities' own characteristics.
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页数:13
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