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Spatial-Temporal Integrated Measurement of the Efficiency of Urban Land Use in Yellow River Basin

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  • Hengji Li

    (College of Resources and Environment, Lanzhou University, Lanzhou 730000, China
    Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China)

  • Jiansheng Qu

    (College of Resources and Environment, Lanzhou University, Lanzhou 730000, China
    Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China)

  • Dai Wang

    (Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China)

  • Peng Meng

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China)

  • Chenyu Lu

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China)

  • Jingjing Zeng

    (Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China)

Abstract

As the product of natural process, land is an essential but nonrenewable resource for humankind. Urban land use efficiency directly reflects the coupling between urban systems and land use systems. It also serves as the key indicator for measuring land productivity and regional development quality. In this study, the land use efficiency of 65 county-level cities in the Yellow River Basin has been measured by applying the Data Envelope Analysis (DEA) and Spatial Autocorrelation Analysis methods. It makes up for the deficiency and defect of the existing research. The result indicates that in 2000~2018, the overall urban land use efficiency in 65 prefecture-level cities is unbalanced, with significant gaps between cities with high efficiency and low efficiency. In 2000~2018, the average urban land use efficiency in these 65 cities shows a tendency of declining. In 2000~2018, the spatial distribution of land use efficiency of these 65 cities indicates significant positive correlation, featured by the clustering of regions with high (low) efficiency. In terms of the spatial distribution of urban land use efficiency in the Yellow River Basin, it is marked by apparent spatial clustering. Specifically, from east to west, from coastal areas to inland regions, from downstream to upstream, the urban land use efficiency differs from high value areas to low value areas. On the whole, it is featured by high value in the east and low value in the west, while declining from downstream to upstream.

Suggested Citation

  • Hengji Li & Jiansheng Qu & Dai Wang & Peng Meng & Chenyu Lu & Jingjing Zeng, 2021. "Spatial-Temporal Integrated Measurement of the Efficiency of Urban Land Use in Yellow River Basin," Sustainability, MDPI, vol. 13(16), pages 1-18, August.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:16:p:8902-:d:611118
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    References listed on IDEAS

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    1. Gianni Guastella & Stefano Pareglio & Paolo Sckokai, 2017. "A Spatial Econometric Analysis of Land Use Efficiency in Large and Small Municipalities," Working Papers 2017.03, Fondazione Eni Enrico Mattei.
    2. Zhao, Zhe & Bai, Yuping & Wang, Guofeng & Chen, Jiancheng & Yu, Jiangli & Liu, Wei, 2018. "Land eco-efficiency for new-type urbanization in the Beijing-Tianjin-Hebei Region," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 19-26.
    3. Chenyu Lu & Peng Meng & Xueyan Zhao & Lu Jiang & Zilong Zhang & Bing Xue, 2019. "Assessing the Economic-Environmental Efficiency of Energy Consumption and Spatial Patterns in China," Sustainability, MDPI, vol. 11(3), pages 1-17, January.
    4. Geoffrey CARUSO & Mohamed HILAL & Isabelle THOMAS, 2017. "Measuring urban forms from inter-building distances: Combining MST graphs with a local index of spatial association," LIDAM Reprints CORE 2837, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    5. Xianguo Li & Qian Zhang, 2015. "AHP-based resources and environment efficiency evaluation index system construction about the west side of Taiwan Straits," Annals of Operations Research, Springer, vol. 228(1), pages 97-111, May.
    6. Edivando Vitor do Couto & Pablo B. Oliveira & Luciane Maria Vieira & Marcelo H. Schmitz & José Hilário D. Ferreira, 2020. "Integrating Environmental, Geographical and Social Data to Assess Sustainability in Hydrographic Basins: The ESI Approach," Sustainability, MDPI, vol. 12(7), pages 1-16, April.
    7. Onaindia, Miren & Peña, Lorena & de Manuel, Beatriz Fernández & Rodríguez-Loinaz, Gloria & Madariaga, Iosu & Palacios-Agúndez, Igone & Ametzaga-Arregi, Ibone, 2018. "Land use efficiency through analysis of agrological capacity and ecosystem services in an industrialized region (Biscay, Spain)," Land Use Policy, Elsevier, vol. 78(C), pages 650-661.
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    Cited by:

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    4. Yu Mao & Yonglin Li & Deyi Xu & Yaqi Wu & Jinhua Cheng, 2022. "Spatial-Temporal Evolution of Total Factor Productivity in Logistics Industry of the Yangtze River Economic Belt, China," Sustainability, MDPI, vol. 14(5), pages 1-16, February.
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