中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Multi-dimension evaluation of rural development degree and its uncertainties: A comparison analysis based on three different weighting assignment methods

文献类型:期刊论文

作者Liu, Xueqi3,4; Liu, Zhengjia1,3,5; Zhong, Huimin1,3; Jian, Yuqing2,3; Shi, Linna1,3
刊名ECOLOGICAL INDICATORS
出版日期2021-11-01
卷号130页码:11
关键词Rural development degree (RDD) Weighting assignment (WA) Index system Comparison analysis China
ISSN号1470-160X
DOI10.1016/j.ecolind.2021.108096
通讯作者Liu, Zhengjia(liuzj@igsnrr.ac.cn)
英文摘要Rural development degree (RDD) evaluation is a very valuable guidance for rural sustainable development. Earlier studies of RDD evaluatons more focusd on establishing index system, analysing spatial-temporal evolving patterns and functional differentiations. Weighting assignment (WA) method selection is a vital step for rural development degree (RDD) evaluation, but impacts of different WA methods on indicator weight determination and RDD evaluation were not well clarified. This study therefore employed three dominant WA methods, covering equal weight method, entropy method and mean square error method, along with a developed RDD evaluation index system to compare the differences of indicator weights and uncertainties of RDD evaluation. The results indicated that the spatial patterns of three WA-based RDD maps had great differences although using the same evaluation indicators. The RDD types with the largest proportion generated from different WA methods were also spatially various. Spatial distributions of RDD generated by various WA methods regions performed largely differences in central, northeastern and southwestern China. Our analyses found that the differences from industrial prosperity dimension and ecology livability dimension owing to utilizing different WA methods were largely responsible for the RDD spatial distributions in this study. This study gave some potential suggestions for WA method selection in RDD evaluation according to the data characteristics, WA method principles and application requirements. Among them, entropy method was suitable for indicator data with great dispersion degree and mean square error method would be better describe indicator differences with large indicator number. Besides, this study also underlined that WA-derived uncertainties should be paid more attentions in rural development and rural revitalization evaluation.
WOS关键词CHINA ; PERFORMANCE
资助项目Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23070302] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA28130400] ; National Natural Science Foundation of China[41931293] ; National Natural Science Foundation of China[41971218]
WOS研究方向Biodiversity & Conservation ; Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000692570600003
出版者ELSEVIER
资助机构Strategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/165347]  
专题中国科学院地理科学与资源研究所
通讯作者Liu, Zhengjia
作者单位1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
2.Guangzhou Univ, Sch Geog Sci, Guangzhou 510006, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
4.Beijing Normal Univ, Fac Geog Sci, Beijing 100875, Peoples R China
5.Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Liu, Xueqi,Liu, Zhengjia,Zhong, Huimin,et al. Multi-dimension evaluation of rural development degree and its uncertainties: A comparison analysis based on three different weighting assignment methods[J]. ECOLOGICAL INDICATORS,2021,130:11.
APA Liu, Xueqi,Liu, Zhengjia,Zhong, Huimin,Jian, Yuqing,&Shi, Linna.(2021).Multi-dimension evaluation of rural development degree and its uncertainties: A comparison analysis based on three different weighting assignment methods.ECOLOGICAL INDICATORS,130,11.
MLA Liu, Xueqi,et al."Multi-dimension evaluation of rural development degree and its uncertainties: A comparison analysis based on three different weighting assignment methods".ECOLOGICAL INDICATORS 130(2021):11.

入库方式: OAI收割

来源:地理科学与资源研究所

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