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Evaluation and Influential Factors of Urban Land Use Efficiency in Yangtze River Economic Belt

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  • Dongqing Han

    (School of Management, Ocean University of China, Qingdao 266100, China)

  • Zhengxu Cao

    (School of Management, Ocean University of China, Qingdao 266100, China)

Abstract

The study of urban land use efficiency is of great significance for optimizing the spatial allocation of urban land, thereby promoting the intensive use of urban land and the transformation of economic development modes. Taking the Yangtze River Economic Belt (YREB) as the study object, we chose the undesirable Slacks-Based Measure (SBM) model to calculate the urban land use efficiency (ULUE). Then, we utilized the spatial correlation analysis and econometric methods to discuss its spatio-temporal features and influential factors. The results show the following: (1) The urban land use efficiency in the YREB steadily improved from 2010 to 2022, but the inter-regional efficiency gap evidently increased. (2) There is an efficiency value to be found in a multi-center network structure, and it forms a “core-periphery” distribution pattern. The high-efficiency areas in the downstream and upstream regions of the YREB are gradually increasing, while the efficiency value in the midstream area remains low. (3) The urban efficiency values have strong correlation, and they are mainly “High-High agglomeration” and “Low-Low agglomeration”, and they show significant regional characteristics. (4) The economic level, industrial structure, and urbanization have obvious motivating effects on ULUE, and the positive spatial spillover effect is clear. The foreign direct investment and land finance hinder the boost of efficiency, and the latter has a negative spatial spillover role on the ULUE in the downstream cities.

Suggested Citation

  • Dongqing Han & Zhengxu Cao, 2024. "Evaluation and Influential Factors of Urban Land Use Efficiency in Yangtze River Economic Belt," Land, MDPI, vol. 13(5), pages 1-17, May.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:5:p:671-:d:1393336
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    References listed on IDEAS

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    1. Lingyan Bao & Xuhui Ding & Jingxian Zhang & Dingyi Ma, 2023. "Can New Urbanization Construction Improve Ecological Welfare Performance in the Yangtze River Economic Belt?," Sustainability, MDPI, vol. 15(11), pages 1-18, May.
    2. Wenqin Ren & Xinhai Lu & Linggui Wei & Hao Yang, 2023. "Dynamic Evolution and Regional Differences in the Efficiency of Compact Urban Development in Chinese Cities—Based on the Perspective of Compact Land Use," Land, MDPI, vol. 12(10), pages 1-17, September.
    3. Xiao Han & Anlu Zhang & Yinying Cai, 2020. "Spatio-Econometric Analysis of Urban Land Use Efficiency in China from the Perspective of Natural Resources Input and Undesirable Outputs: A Case Study of 287 Cities in China," IJERPH, MDPI, vol. 17(19), pages 1-21, October.
    4. Jing Huang & Dongqian Xue, 2019. "Study on Temporal and Spatial Variation Characteristics and Influencing Factors of Land Use Efficiency in Xi’an, China," Sustainability, MDPI, vol. 11(23), pages 1-16, November.
    5. Naifu Yu & Yingkai Tang & Ying Ma, 2023. "Spatio-Temporal Evolution, Spillover Effects of Land Resource Use Efficiency in Urban Built-Up Area: A Further Analysis Based on Economic Agglomeration," Land, MDPI, vol. 12(3), pages 1-17, February.
    6. Chen, Danling & Hu, Wenbo & Li, Yuying & Zhang, Chaozheng & Lu, Xinhai & Cheng, Hui, 2023. "Exploring the temporal and spatial effects of city size on regional economic integration: Evidence from the Yangtze River Economic Belt in China," Land Use Policy, Elsevier, vol. 132(C).
    7. Koroso, Nesru H., 2023. "Urban land policy and urban land use efficiency: An analysis based on remote sensing and institutional credibility thesis," Land Use Policy, Elsevier, vol. 132(C).
    8. Fa Tian & Shiying Hou, 2022. "The Impact of Green Finance on Industrial Land Use Efficiency: Evidence from 279 Cities in China," Sustainability, MDPI, vol. 14(10), pages 1-16, May.
    9. Yu, Junqing & Zhou, Kaile & Yang, Shanlin, 2019. "Land use efficiency and influencing factors of urban agglomerations in China," Land Use Policy, Elsevier, vol. 88(C).
    10. Yajuan Wang & Xi Wu & Hongbo Zhu, 2022. "Spatio-Temporal Pattern and Spatial Disequilibrium of Cultivated Land Use Efficiency in China: An Empirical Study Based on 342 Prefecture-Level Cities," Land, MDPI, vol. 11(10), pages 1-15, October.
    11. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
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