Exploring Spatial-Temporal Coupling and Its Driving Factors of Green and Low-Carbon Urban Land Use Efficiency and High-Quality Economic Development in China

被引:1
作者
Peng, Lina [1 ,2 ,3 ,4 ]
Liang, Juan [1 ,2 ]
Wang, Kexin [1 ,2 ]
Xiao, Wenqian [1 ,3 ]
Zou, Jian [1 ,3 ]
Hong, Yuxuan [1 ,4 ]
Ding, Rui [1 ,2 ,3 ,4 ]
机构
[1] Guizhou Univ Finance & Econ, Coll Big Data Applicat & Econ, Guiyang Coll Big Data Finance, Guiyang 550025, Peoples R China
[2] Guizhou Univ Finance & Econ, Guizhou Collaborat Innovat Ctr Green Finance & Eco, Guiyang 550025, Peoples R China
[3] Guizhou Univ Finance & Econ, Artificial Intelligence & Digital Finance Lab, Guiyang 550025, Peoples R China
[4] Guizhou Univ Finance & Econ, Reg Econ High Qual Dev Res Prov Innovat Team, Guiyang 550025, Peoples R China
关键词
green and low-carbon land use; urbanization; high-quality economic development; coupling coordination; influencing factors; spatial-temporal heterogeneity; COORDINATION; URBANIZATION;
D O I
10.3390/su16083455
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Green and low-carbon use of urban land (GLUUL) and high-quality economic development (HED) are two closely linked and mutually reinforcing systems, and their coordinated development is of great theoretical and practical significance to the realization of green and sustainable urban development. Based on theoretical analysis, this paper used data from 2005 to 2020 to measure GLUUL efficiency and HED level and their coupling coordination degree (CCD) successively of 282 cities in China, and then analyzed in-depth the main factors affecting CCD and its spatial-temporal heterogeneity using the GTWR model. This study found that (1) GLUUL efficiency and HED levels are increasing with different trends, and the development is unbalanced. High-value cities in the two systems show a staggered distribution pattern. (2) The CCD of the two was dominated by primary and intermediate coordination types, and the overall became increasingly coordinated, with the "intermediate coordination-advanced development" type having the highest representation. (3) There is a gradual convergence of CCD spatial differences, showing an overall spatial distribution pattern that is "high in the northwest and southeast, low in the central area". (4) The influence degree and direction of different factors on CCD are distinguishing. The positive impact of industrial structure upgrading (Isu) is obviously greater than other factors, which has the strongest effect on the industrial corridor along the Yangtze River and the Beijing-Tianjin-Hebei region. The findings can offer insightful recommendations for promoting sustainable development in China and similar developing countries and regions.
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页数:30
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