Spatio-Temporal Distributions of the Land Use Efficiency Coupling Coordination Degree in Mining Cities of Western China

Junfang Yuan, Zhengfu Bian, Qingwu Yan and Yuanqing Pan
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Junfang Yuan: School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China
Zhengfu Bian: School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China
Qingwu Yan: School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China
Yuanqing Pan: Land and Resources in Henan province Scientific Research Institute, Zhengzhou 450001, China

Sustainability, 2019, vol. 11, issue 19, 1-19

Abstract: A high coupling coordination degree of urban land use efficiency promotes sustainable regional economic development. In this study, land use efficiency coupling coordination degrees were calculated for 36 mining cities of western China, with a focus on economic, social, and ecological benefits for land use efficiency. Four years (2000, 2005, 2010, and 2015) of data were selected. A land use efficiency index system was generated and the improved entropy method was used to calculate the index weights of land use efficiency for each year. The spatial distributions of the coupling coordination degree were assessed by the ArcGIS spatial analysis tool. Spatial correlation analysis was conducted for the coupling coordination degree. The following conclusions could be drawn: (1) According to the composite index results, urban land use efficiency could be divided into three stages and showed several different time patterns in mining cities of western China; (2) analysis of the spatial and temporal distributions of the land use efficiency coupling coordination degree identified a low level of coupling coordination and reluctant coupling coordination. An obvious core-periphery and gradual trickle-down trend was observed; (3) the land use efficiency of western mining cities presents negative and positive spatial autocorrelation characteristics. Shizuishan city, Ordos city, Jinchang city, and Wuhai city have significant aggregation types. Therefore, the western mining cities were subjected to different complex time and space characteristics.

Keywords: land use efficiency; improved entropy method; coupling coordination degree; spatial and temporal distributions; mining cities; spatial autocorrelation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (22)

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