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

Yin Ma, Minrui Zheng (), Xinqi Zheng, Yi Huang, Feng Xu, Xiaoli Wang, Jiantao Liu, Yongqiang Lv and Wenchao Liu
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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
Xinqi Zheng: School of Information Engineering, China University of Geosciences (Beijing), 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

Land, 2023, vol. 12, issue 4, 1-21

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.

Keywords: land use efficiency; multi-perspective spatiotemporal analysis; sustainable development goals; quantitative models; systematic review; bibliometric analysis (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:12:y:2023:i:4:p:894-:d:1124647

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