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Spillover Effects of Urban Expansion on Land Green Use Efficiency: An Empirical Study Based on Multi-Source Remote Sensing Data in China

Author

Listed:
  • Zhen Deng

    (College of Life Sciences, Anhui Normal University, Wuhu 241000, China)

  • Fan Xiao

    (Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Jing Huang

    (Department of Environmental Science, University of Arizona, Tucson, AZ 85721, USA)

  • Yizhen Zhang

    (Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    School of Geography and Tourism, Anhui Normal University, Wuhu 241002, China)

  • Fang Zhang

    (College of Life Sciences, Anhui Normal University, Wuhu 241000, China)

Abstract

Land is an important carrier of resource elements, and improving land green use efficiency (LGUE) is the key to achieving “smart growth” in cities. This study takes 269 cities in China from 2008 to 2020 as the research object and integrates multisource remote sensing data, GIS spatial analysis, and spatial econometric models to explore the evolutionary characteristics of LGUE and the spatiotemporal effects of urban expansion on LGUE. The results show that (1) urban LGUE increases over time and has certain gradient distribution and spatial dependence characteristics; (2) urban expansion has a significant inverted U-shaped relationship with LGUE, indicating that maintaining reasonable urban expansion is the key to improving LGUE, but excessive urban expansion has a strong negative spatial effect on LGUE. In terms of spillover effect, for every 1% increase in the square term of urban expansion, the LGUE of the local city decreases by 0.0673%, but the neighboring city increases by 0.2283%; and (3) urban expansion has significant spatiotemporal heterogeneous effects on LGUE, and spatial development boundaries must be reasonably determined to achieve “smart growth”. Currently, some cities in China are expanding rapidly, and we hope to provide key support for promoting the “smart growth” of cities and improving LGUE.

Suggested Citation

  • Zhen Deng & Fan Xiao & Jing Huang & Yizhen Zhang & Fang Zhang, 2024. "Spillover Effects of Urban Expansion on Land Green Use Efficiency: An Empirical Study Based on Multi-Source Remote Sensing Data in China," Land, MDPI, vol. 13(7), pages 1-21, July.
  • Handle: RePEc:gam:jlands:v:13:y:2024:i:7:p:1102-:d:1439772
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    References listed on IDEAS

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    1. Liangen Zeng, 2022. "The Driving Mechanism of Urban Land Green Use Efficiency in China Based on the EBM Model with Undesirable Outputs and the Spatial Dubin Model," IJERPH, MDPI, vol. 19(17), pages 1-20, August.
    2. Zhaolan Wang & Li Wang & Biao Zhao & Qian Pei, 2023. "Analysis of Spatiotemporal Interaction Characteristics and Decoupling Effects of Urban Expansion in the Central Plains Urban Agglomeration," Land, MDPI, vol. 12(4), pages 1-21, March.
    3. Kaoru Tone & Miki Tsutsui, 2010. "An epsilon-based measure of efficiency in DEA revisited -A third pole of technical efficiency," GRIPS Discussion Papers 09-21, National Graduate Institute for Policy Studies.
    4. Myovella, Godwin & Karacuka, Mehmet & Haucap, Justus, 2021. "Determinants of digitalization and digital divide in Sub-Saharan African economies: A spatial Durbin analysis," Telecommunications Policy, Elsevier, vol. 45(10).
    5. Basu, Tirthankar & Das, Arijit & Das, Ketan & Pereira, Paulo, 2023. "Urban expansion induced loss of natural vegetation cover and ecosystem service values: A scenario-based study in the siliguri municipal corporation (Gateway of North-East India)," Land Use Policy, Elsevier, vol. 132(C).
    6. Wu, Haitao & Hao, Yu & Ren, Siyu, 2020. "How do environmental regulation and environmental decentralization affect green total factor energy efficiency: Evidence from China," Energy Economics, Elsevier, vol. 91(C).
    7. Tone, Kaoru & Tsutsui, Miki, 2010. "An epsilon-based measure of efficiency in DEA - A third pole of technical efficiency," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1554-1563, December.
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