Multi-dimension evaluation of rural development degree and its uncertainties: A comparison analysis based on three different weighting assignment methods

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 selectio...

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Autores principales:	Xueqi Liu, Zhengjia Liu, Huimin Zhong, Yuqing Jian, Linna Shi
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Rural development degree (RDD) Weighting assignment (WA) Index system Comparison analysis China Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/94debdde503e455282d9cdb0183d96f7
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spelling	oai:doaj.org-article:94debdde503e455282d9cdb0183d96f72021-12-01T04:59:06ZMulti-dimension evaluation of rural development degree and its uncertainties: A comparison analysis based on three different weighting assignment methods1470-160X10.1016/j.ecolind.2021.108096https://doaj.org/article/94debdde503e455282d9cdb0183d96f72021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21007615https://doaj.org/toc/1470-160XRural 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.Xueqi LiuZhengjia LiuHuimin ZhongYuqing JianLinna ShiElsevierarticleRural development degree (RDD)Weighting assignment (WA)Index systemComparison analysisChinaEcologyQH540-549.5ENEcological Indicators, Vol 130, Iss , Pp 108096- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Rural development degree (RDD) Weighting assignment (WA) Index system Comparison analysis China Ecology QH540-549.5
spellingShingle	Rural development degree (RDD) Weighting assignment (WA) Index system Comparison analysis China Ecology QH540-549.5 Xueqi Liu Zhengjia Liu Huimin Zhong Yuqing Jian Linna Shi Multi-dimension evaluation of rural development degree and its uncertainties: A comparison analysis based on three different weighting assignment methods
description	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.
format	article
author	Xueqi Liu Zhengjia Liu Huimin Zhong Yuqing Jian Linna Shi
author_facet	Xueqi Liu Zhengjia Liu Huimin Zhong Yuqing Jian Linna Shi
author_sort	Xueqi Liu
title	Multi-dimension evaluation of rural development degree and its uncertainties: A comparison analysis based on three different weighting assignment methods
title_short	Multi-dimension evaluation of rural development degree and its uncertainties: A comparison analysis based on three different weighting assignment methods
title_full	Multi-dimension evaluation of rural development degree and its uncertainties: A comparison analysis based on three different weighting assignment methods
title_fullStr	Multi-dimension evaluation of rural development degree and its uncertainties: A comparison analysis based on three different weighting assignment methods
title_full_unstemmed	Multi-dimension evaluation of rural development degree and its uncertainties: A comparison analysis based on three different weighting assignment methods
title_sort	multi-dimension evaluation of rural development degree and its uncertainties: a comparison analysis based on three different weighting assignment methods
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/94debdde503e455282d9cdb0183d96f7
work_keys_str_mv	AT xueqiliu multidimensionevaluationofruraldevelopmentdegreeanditsuncertaintiesacomparisonanalysisbasedonthreedifferentweightingassignmentmethods AT zhengjialiu multidimensionevaluationofruraldevelopmentdegreeanditsuncertaintiesacomparisonanalysisbasedonthreedifferentweightingassignmentmethods AT huiminzhong multidimensionevaluationofruraldevelopmentdegreeanditsuncertaintiesacomparisonanalysisbasedonthreedifferentweightingassignmentmethods AT yuqingjian multidimensionevaluationofruraldevelopmentdegreeanditsuncertaintiesacomparisonanalysisbasedonthreedifferentweightingassignmentmethods AT linnashi multidimensionevaluationofruraldevelopmentdegreeanditsuncertaintiesacomparisonanalysisbasedonthreedifferentweightingassignmentmethods
_version_	1718405615045312512

Multi-dimension evaluation of rural development degree and its uncertainties: A comparison analysis based on three different weighting assignment methods

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