中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Spatial-Temporal Pattern of Urban Land Green Use Efficiency and Its Influencing Factors in Guizhou Province, China, Based on County Units

文献类型:期刊论文

作者Xu, Zhongchun1; Chen, Hongqin1; Song, Wei2
刊名LAND
出版日期2024-12-01
卷号13期号:12页码:24
关键词urban land green use efficiency characteristics of spatial-temporal evolution influence factors non-expected output super-efficiency SBM model
DOI10.3390/land13122140
英文摘要Urban land is an important and indispensable support for urban development. However, the continued development of urbanization and industrialization has given rise to many problems, increasing the burden of urban land and leading to inefficient urban land use. The study of urban land green use efficiency (ULGUE) helps to explore the path to alleviate urban land-use pressure and enhance the land green utilization efficiency, and provides important decision-making references for urban greening construction and development. In this paper, 88 districts and counties in Guizhou Province were taken as the research units. Then, their efficiency values and spatial-temporal evolution characteristics were analyzed by applying the non-expected output super-efficiency SBM model, the kernel density estimation method, and spatial autocorrelation analysis, respectively. In order to identify its influencing factors, the main correlation analysis was carried out using the Tobit model. The research findings are summarized as follows: (1) From the time-series evolution characteristics, the ULGUE among the 88 county cities in Guizhou Province had obvious polarization characteristics. In terms of the numbers, there was a gradual downward trend in the number of high-efficiency cities. (2) Based on the spatial evolution characteristics, there was a positive correlation in the ULGUE among county cities in Guizhou Province, and the high- and low-value areas were comparatively more widely located in the central-east and west sides of Guizhou Province, respectively. (3) Among the factors influencing the level of the ULGUE, the level of economic development, industrial structure upgrading, and environmental regulation mainly played a positive facilitating role, while the material standard of living of the population, the GDP content, the green development level, government financial support, and the population size played a negative inhibiting role. The study of the ULGUE in Guizhou Province provides ideas for urban construction and is of great significance for the green transformation of urban development. At the same time, it can provide a reference for China's western development.
WOS关键词SLACKS-BASED MEASURE ; GROWTH ; POLICY
资助项目The Research on the Livelihood Diversification of Farm Household and Land Marginalization in Guizhou Karst Area project of the Youth Fund for Humanities and Social Sciences Research of the Ministry of Education[18YJC630216]
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:001386784500001
出版者MDPI
资助机构The Research on the Livelihood Diversification of Farm Household and Land Marginalization in Guizhou Karst Area project of the Youth Fund for Humanities and Social Sciences Research of the Ministry of Education
源URL[http://ir.igsnrr.ac.cn/handle/311030/212038]  
专题陆地表层格局与模拟院重点实验室_外文论文
通讯作者Xu, Zhongchun
作者单位1.Guizhou Univ, Coll Publ Adm, Guiyang 550025, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Xu, Zhongchun,Chen, Hongqin,Song, Wei. Spatial-Temporal Pattern of Urban Land Green Use Efficiency and Its Influencing Factors in Guizhou Province, China, Based on County Units[J]. LAND,2024,13(12):24.
APA Xu, Zhongchun,Chen, Hongqin,&Song, Wei.(2024).Spatial-Temporal Pattern of Urban Land Green Use Efficiency and Its Influencing Factors in Guizhou Province, China, Based on County Units.LAND,13(12),24.
MLA Xu, Zhongchun,et al."Spatial-Temporal Pattern of Urban Land Green Use Efficiency and Its Influencing Factors in Guizhou Province, China, Based on County Units".LAND 13.12(2024):24.

入库方式: OAI收割

来源:地理科学与资源研究所

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