Spatial Reconstruction and Determinants of Industrial Land in China’s Urban Expansion: A Theoretical Framework

Dan Zhao, Kewei Liu, Jianwei Li () and Jiagang Zhai
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Dan Zhao: College of Urban and Environmental Science, Northwest University, Xi’an 710127, China
Kewei Liu: College of Urban and Environmental Science, Northwest University, Xi’an 710127, China
Jianwei Li: College of Urban and Environmental Science, Northwest University, Xi’an 710127, China
Jiagang Zhai: College of Urban and Environmental Science, Northwest University, Xi’an 710127, China

Land, 2025, vol. 14, issue 2, 1-23

Abstract: The evolution of industrial land layout is a significant feature of changes in urban land use types during rapid urbanization. However, the theoretical studies investigating the evolution mechanism behind industrial land are scarce. This study developed a dynamic theoretical framework examining the relationship between government and market forces. Furthermore, this study examined the determinants of industrial land evolution in Xi’an from 1994 to 2019 by using a logistic regression model. The results showed that industrial land area increased from 55.02 km 2 to 126.63 km 2 from 1994 to 2013 but later rapidly reduced to 106.61 km 2 in 2019. The spatial distribution of industrial land exhibited significant deindustrialization and suburbanization during park-orientated agglomeration and showed a shift from large-area small-patch to multi-center large-patch agglomeration. Factors such as development zone policies, land prices, agglomeration benefits, land supply, and transportation infrastructure are key determinants of suburbanization, while land prices and agglomeration benefits are key determinants of deindustrialization. This study reveals the mechanisms driving industrial land evolution and offers guidance in improving the rationality of urban land layout and achieving industry–city integration.

Keywords: industrial land; layout evolution; determinants; Xi’an (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2025
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