Construction Land Expansion of Resource-Based Cities in China: Spatiotemporal Characteristics and Driving Factors

Jiangsu Li (), Weihua Li (), Bo Li, Liangrong Duan, Tianjiao Zhang and Qi Jia
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Jiangsu Li: Key Research Institute of Yellow River Civilization and Sustainable Development, Henan University, Kaifeng 475001, China
Weihua Li: Collaborative Innovation Center of Yellow River Civilization Provincial Co-Construction, Henan University, Kaifeng 475001, China
Bo Li: School of Management, Tianjin University of Technology, Tianjin 300384, China
Liangrong Duan: Key Research Institute of Yellow River Civilization and Sustainable Development, Henan University, Kaifeng 475001, China
Tianjiao Zhang: Key Research Institute of Yellow River Civilization and Sustainable Development, Henan University, Kaifeng 475001, China
Qi Jia: Key Research Institute of Yellow River Civilization and Sustainable Development, Henan University, Kaifeng 475001, China

IJERPH, 2022, vol. 19, issue 23, 1-20

Abstract: Studying construction land expansion (CLE) characteristics and driving factors in resource-based cities (RBCs) is important to promote efficient land use and maintain ecological equilibrium in RBCs. This study explores the CLE and its driving factors in RBCs. The results indicated that (1) the CLE in RBCs became increasingly obvious, and the number of cities with expansion areas exceeding 20 km 2 increased from 29 to 86. In RBCs in different regions, CLE in eastern, central, and western regions was obvious, while CLE in the northeast region decelerated. The order of CLE degree at different stages of RBCs was mature, growing, regenerative, and declining. (2) Single factors such as gross domestic product, fixed-asset investment, and secondary industry added value, playing a major role. This differs from the dominant role of population and urbanization in existing research. This occurred because population growth is slow, the urbanization rate is low, population contraction prominently occurs, and economic development exhibits notable path dependence in RBCs. (3) Interaction-factor detection demonstrated that the force of two-factor interaction was greater than that of a single factor, and the interactions of total population with fixed-asset investment and economic development level strongly drove CLE in RBCs.

Keywords: construction land expansion; resource-based cities; driving factors; Geodetector; China (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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