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

Author:

Ma Yin1,Zheng Minrui23,Zheng Xinqi145ORCID,Huang Yi1,Xu Feng1,Wang Xiaoli6,Liu Jiantao7,Lv Yongqiang7,Liu Wenchao8

Affiliation:

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

2. School of Public Administration and Policy, Renmin University of China, Beijing 100872, China

3. Digital Government and National Governance Lab, Renmin University of China, Beijing 100872, China

4. Technology Innovation Center for Territory Spatial Big-Data, Ministry of Natural Resources of the People’s Republic of China, Beijing 100036, China

5. Observation and Research Station of Beijing Fangshan Comprehensive Exploration, Ministry of Natural Resources, Beijing 100083, China

6. China Land Surveying and Planning Institute, Beijing 100035, China

7. School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, China

8. 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.

Funder

National Natural Science Foundation of China

Beijing Social Science Foundation

Key Program of National Natural Science Foundation of China

Third Xinjiang Scientific Expedition of the Key Research and Development Program by Ministry of Science and Technology of the People’s Republic of China

Natural Science Foundation of Shandong Province

Publisher

MDPI AG

Subject

Nature and Landscape Conservation,Ecology,Global and Planetary Change

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3