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Measurement, Differences, and Driving Factors of Land Use Environmental Efficiency in the Context of Energy Utilization

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  • Lingyao Wang

    (School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
    These authors contributed equally to this work.)

  • Huilin Liu

    (College of Economics and Management, Nanjing Forestry University, Nanjing 210037, China
    These authors contributed equally to this work.)

  • Xiaoyan Liu

    (Business School, Hohai University, Nanjing 211100, China)

  • Fangrong Ren

    (College of Economics and Management, Nanjing Forestry University, Nanjing 210037, China
    Business School, Nanjing University, Nanjing 210093, China)

Abstract

Land urbanization enables a thorough perspective to explore the decoupling of land use environmental efficiency (LUEE) and energy use, thereby supporting the shift into low-carbon land use by emphasizing energy conservation and reducing carbon emissions. This paper first calculates LUEE from 2011 to 2021 by using the EBM-DEA model in China. The geographical detector model is used to examine the driving factors of land use environmental efficiency. The results show the following: (1) China’s LUEE is high in general but shows a clear pattern of spatial differentiation internally, with the highest values in the eastern region represented by Beijing, Jiangsu, and Zhejiang, while the central and western regions show lower LUEE because of their irrational industrial structure and lagging green development. (2) Energy consumption, economic development, industrial upgrading, population size, and urban expansion are the driving factors. Their explanatory power for the spatial stratification heterogeneity of land use environmental impacts varies. (3) Urban expansion has the greatest impact on the spatial differentiation of land use environmental effects, while energy consumption also shows significant explanatory strength. In contrast, economic development and population size exhibit relatively weaker explanatory effects. (4) The interaction of the two driving factors has a greater impact on LUEE than their individual effects, and the interaction is a two-factor enhancement. Finally, we make targeted recommendations to help improve land use environmental efficiency.

Suggested Citation

  • Lingyao Wang & Huilin Liu & Xiaoyan Liu & Fangrong Ren, 2025. "Measurement, Differences, and Driving Factors of Land Use Environmental Efficiency in the Context of Energy Utilization," Land, MDPI, vol. 14(8), pages 1-19, July.
  • Handle: RePEc:gam:jlands:v:14:y:2025:i:8:p:1573-:d:1714854
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