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Analysis and comprehensive evaluation of sustainable land use in China: Based on sustainable development goals framework

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成果类型:
期刊论文
作者:
Lu, Xinhai;Zhang, Yanwei;Lin, Chaoran;Wu, Feng
通讯作者:
Yanwei Zhang
作者机构:
[Wu, Feng; Lu, Xinhai; Zhang, Yanwei] Huazhong Univ Sci & Technol, Coll Publ Adm, Wuhan 430074, Peoples R China.
[Lu, Xinhai] Cent China Normal Univ, Coll Publ Adm, Wuhan 430079, Peoples R China.
[Lin, Chaoran] Harbin Engn Univ, Coll Comp Sci & Technol, Harbin 150001, Heilongjiang, Peoples R China.
[Lin, Chaoran] Harbin Engn Univ, Sch Econ & Management, Harbin 150001, Peoples R China.
通讯机构:
[Yanwei Zhang] C
College of Public Administration, Huazhong University of Science and Technology, Wuhan, 430074, China
语种:
英文
关键词:
Sustainable land use;United Nations 2030 sustainable development goals;Real coded accelerating genetic algorithm-projection pursuit techniques;Exploratory spatial data analysis model;Spatiotemporal transitions;China
期刊:
Journal of Cleaner Production
ISSN:
0959-6526
年:
2021
卷:
310
页码:
127205
基金类别:
This research is supported by the National Natural Science Foundation of China (NO. 71673096); the National 985 Project of Non-traditional Security at Huazhong University of Science and Technology, P.R. China; China Postdoctoral Science Foundation (NO. 2020M672365) and the Fundamental Research Funds for the Central Universities, HUST (NO. 2021WKZDJC001). CRediT authorship contribution statement Xinhai Lu: Writing – review & editing, Conceptualization, Resources, acquisition. Yanwei Zhang: Writing – original draft, Methodology, Software, Visualization, Supervision, Project administration. Chaoran Lin: Data curation, Investigation. Feng Wu: Validation, Formal analysis.
机构署名:
本校为其他机构
院系归属:
公共管理学院
摘要:
Based on UN 2030 Sustainable Development Goals (SDGs), this study selects 43 indicators from three dimensions to construct an evaluation index system for sustainable land use (SLU). Thirty provincial administrative regions in China from 2002 to 2018 are chosen to comprise the study area. Real-coded accelerating genetic algorithm-projection pursuit techniques and an exploratory spatial data analysis model are used to study the spatiotemporal differences in the SLU levels of the provinces in China. Results show the following: (1) During the study period, the SLU level in China demonstrated an ov...

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