Applying SBM-GPA Model to Explore Urban Land Use Efficiency Considering Ecological Development in China

Xufeng Cui, Sisi Huang, Cuicui Liu, Tingting Zhou, Ling Shan, Fengyuan Zhang, Min Chen, Fei Li and Walter T. de Vries
Additional contact information
Xufeng Cui: Key Laboratory of Virtual Geographic Environment (Ministry of Education of PRC), Nanjing Normal University, Nanjing 210046, China
Sisi Huang: School of Business Administration, Zhongnan University of Economics and Law, Wuhan 430073, China
Cuicui Liu: School of Business Administration, Zhongnan University of Economics and Law, Wuhan 430073, China
Tingting Zhou: School of Business Administration, Zhongnan University of Economics and Law, Wuhan 430073, China
Ling Shan: School of Business Administration, Zhongnan University of Economics and Law, Wuhan 430073, China
Fengyuan Zhang: Key Laboratory of Virtual Geographic Environment (Ministry of Education of PRC), Nanjing Normal University, Nanjing 210046, China
Min Chen: Key Laboratory of Virtual Geographic Environment (Ministry of Education of PRC), Nanjing Normal University, Nanjing 210046, China
Fei Li: Key Laboratory of Virtual Geographic Environment (Ministry of Education of PRC), Nanjing Normal University, Nanjing 210046, China
Walter T. de Vries: Department of Aerospace and Geodesy, Technical University of Munich (TUM), 80333 München, Germany

Land, 2021, vol. 10, issue 9, 1-15

Abstract: Rapid urban sprawl is a key characteristic of the current urban land use changes in China. It leads, however, to inefficient land use and spatial imbalance. This paper conducts a quantitative analysis of the urban land use efficiency (ULUE) at a provincial scale in China, based on the SBM-GPA integration model, and using the datasets of 31 province-level regions (provinces, municipalities and autonomous regions) in Chinese mainland from 2008 to 2017. The analysis demonstrates that: (1) the proportion of provinces reaching the production frontiers is low, but there are possibilities to improve for the ULUE; (2) the provincial ULUE strongly correlates to the type of agglomeration characteristics, and the degree of agglomeration tends to increase year by year; (3) there are three types of clusters of provincial ULUE values: high, medium, and low; (4) the gravity center of the provincial ULUE is located in Henan Province, where values are relatively stable and limited changes occur. The novelty of this research is that it applies spatial modeling to characterize and analyze ULUE spatial and temporal variations and clusters in China. Practically, this can better support decision making in urban land use management.

Keywords: urban land use efficiency; geospatial analysis methods (GPA); slacks-based measure model (SBM); China (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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