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Exploring the influence of urban form on land-use efficiency from a spatiotemporal heterogeneity perspective: Evidence from 336 Chinese cities

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  • He, Sanwei
  • Yu, Shan
  • Li, Guangdong
  • Zhang, Junfeng

Abstract

Effective land-use is a prerequisite for sustainable urbanization. Land-use efficiency is intimately related to factors such as economic growth and industrial policies; however, limited studies focus on the spatial effects of urban form on land-use efficiency. Our empirical analysis includes 336 Chinese prefecture-level cities located in 31 provinces and four regions. We use five landscape metrics (patch density, mean patch size, edge density, mean shape index and patch cohesion index) to characterize urban form. Overall, China’s urban form metrics demonstrate significant regional differences from 2000 to 2015. Furthermore, land-use efficiency also demonstrates significant regional disparities. We prove the importance of the spatial effects of urban form on land-use efficiency using spatial regression models. Moreover, the impact of urban form metrics on land-use efficiency is sensitive to regional heterogeneity and city sizes. An urban form characterized by high patch density and large urban patch size is not conducive to increases in land-use efficiency in small cities although it is conducive to such increases in large cities. This research facilitates policymaking in the areas of spatial regulation and spatial planning in connection with national land-use.

Suggested Citation

  • He, Sanwei & Yu, Shan & Li, Guangdong & Zhang, Junfeng, 2020. "Exploring the influence of urban form on land-use efficiency from a spatiotemporal heterogeneity perspective: Evidence from 336 Chinese cities," Land Use Policy, Elsevier, vol. 95(C).
    • Handle: RePEc:eee:lauspo:v:95:y:2020:i:c:s0264837719319660
    DOI: 10.1016/j.landusepol.2020.104576
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    References listed on IDEAS

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    1. Xie, Hualin & Chen, Qianru & Lu, Fucai & Wu, Qing & Wang, Wei, 2018. "Spatial-temporal disparities, saving potential and influential factors of industrial land use efficiency: A case study in urban agglomeration in the middle reaches of the Yangtze River," Land Use Policy, Elsevier, vol. 75(C), pages 518-529.
    2. Kimura, Fukunari & Ando, Mitsuyo, 2003. "Fragmentation and agglomeration matter: Japanese multinationals in Latin America and East Asia," The North American Journal of Economics and Finance, Elsevier, vol. 14(3), pages 287-317, December.
    3. Liu, Yansui, 2018. "Introduction to land use and rural sustainability in China," Land Use Policy, Elsevier, vol. 74(C), pages 1-4.
    4. Hsing-Fu Kuo & Ko-Wan Tsou, 2015. "Application of Environmental Change Efficiency to the Sustainability of Urban Development at the Neighborhood Level," Sustainability, MDPI, vol. 7(8), pages 1-20, August.
    5. Paul Voss & David Long & Roger Hammer & Samantha Friedman, 2006. "County child poverty rates in the US: a spatial regression approach," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 25(4), pages 369-391, August.
    6. repec:idb:brikps:9179 is not listed on IDEAS
    7. He, Qingsong & He, Weishan & Song, Yan & Wu, Jiayu & Yin, Chaohui & Mou, Yanchuan, 2018. "The impact of urban growth patterns on urban vitality in newly built-up areas based on an association rules analysis using geographical ‘big data’," Land Use Policy, Elsevier, vol. 78(C), pages 726-738.
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