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Land Use Efficiency Assessment under Sustainable Development Goals: A Systematic Review

Author

Listed:
  • Yin Ma

    (School of Information Engineering, China University of Geosciences (Beijing), Beijing 100083, China)

  • Minrui Zheng

    (School of Public Administration and Policy, Renmin University of China, Beijing 100872, China
    Digital Government and National Governance Lab, Renmin University of China, Beijing 100872, China)

  • Xinqi Zheng

    (School of Information Engineering, China University of Geosciences (Beijing), Beijing 100083, China
    Technology Innovation Center for Territory Spatial Big-Data, Ministry of Natural Resources of the People’s Republic of China, Beijing 100036, China
    Observation and Research Station of Beijing Fangshan Comprehensive Exploration, Ministry of Natural Resources, Beijing 100083, China)

  • Yi Huang

    (School of Information Engineering, China University of Geosciences (Beijing), Beijing 100083, China)

  • Feng Xu

    (School of Information Engineering, China University of Geosciences (Beijing), Beijing 100083, China)

  • Xiaoli Wang

    (China Land Surveying and Planning Institute, Beijing 100035, China)

  • Jiantao Liu

    (School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, China)

  • Yongqiang Lv

    (School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, China)

  • Wenchao Liu

    (Information Center of Ministry of Natural Resources of the People’s Republic of China, Beijing 100034, China)

Abstract

Improvements in and the assessment of land use efficiency are crucial pillars for achieving the Sustainable Development Goals (SDGs). This study reviews 208 representative papers, oral reports, and project reports to provide a systematic and comprehensive understanding of the current status and future trends of research on land use efficiency assessment. The findings reveal that (1) the number of papers on land use efficiency assessment is rapidly increasing, with research primarily focused on environmental science and ecology ( n = 157, 75.48%). (2) Quantitative models are gaining popularity for land use efficiency assessment, with more than 46.63% of the studies adopting the data envelopment analysis (DEA) model. (3) The definition and analysis perspectives of land use efficiency are diverse, but research on relative land use efficiency and comprehensive analysis perspectives accounts for a significant proportion. (4) Constructing a large and complex model that incorporates geospatial effects, big data, and computer technology is a hot topic for future research methods. On the other hand, conducting land use efficiency research on a global scale is more conducive to achieving the SDGs. (5) The core to improving land use efficiency lies in the joint implementation of multi-pronged measures.

Suggested Citation

  • Yin Ma & Minrui Zheng & Xinqi Zheng & Yi Huang & Feng Xu & Xiaoli Wang & Jiantao Liu & Yongqiang Lv & Wenchao Liu, 2023. "Land Use Efficiency Assessment under Sustainable Development Goals: A Systematic Review," Land, MDPI, vol. 12(4), pages 1-21, April.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:4:p:894-:d:1124647
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    References listed on IDEAS

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