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1、JournalofWaterResourcesResearch水资源研究,2017,6(2),138-147PublishedOnlineApril2017inHans.http://www.hanspub.org/journal/jwrrhttps://doi.org/10.12677/jwrr.2017.62017WaterUseEfficiencyAssessmentofChineseProvincesBasedonaDataEnvelopmentAnalysisModelwithUndesirableOutputsXutengZhang1,JingjieYu2,31Tsingh
2、uaUniversity,Beijing2UniversityofChineseAcademyofSciences,Beijing3KeyLaboratoryofWaterCycleandRelatedLandSurfaceProcesses,InstituteofGeographicSciencesandNaturalResourcesResearch,ChineseAcademyofSciences,BeijingthththReceived:Mar.24,2017;accepted:Apr.11,2017;published:Apr.14,2017AbstractWateruse
3、efficiencyisthecoreissueofsustainablewaterresourcesmanagement,whichneedstobeproperlyassessment.Thispaperusesthedataenvelopmentanalysis(DEA)theoryandbuildsasuperDEAmodelwithundesirableoutputsbychoosingindicatorsincludingboththedesirableoutputs(thedirecteconomicvalue)andtheundesirableoutputs(these
4、wageandpollution).Usingthismodel,wecalculatedthewateruseefficiencyatprovinciallevelinChinaduring1998-2012,andcalculatedthedif-ferencebetweentheactualindicatorsandtheindicatorswhentheefficiencyisthebestwiththemethodofprojectionanalysis.Theresultsindicatethatthewateruseefficiencyisrelativelyhighin
5、13provinces,suchasBeijingandTianjin;andtheefficiencyisrelativelylowin5provincessuchasGuangdongandGuangxi.Theefficiencyinmostoftheprovincesisaffectedbythesewagewhichwillberaisedifthese-wageamountdecreases.Inaddition,projectionanalysisresultprovidesthebasisforefficiencyimprove-mentbymeansofindicat
6、orsadjustment.KeywordsDataEnvelopmentAnalysis,SuperDEAModelwithUndesirableOutputs,WaterUseEfficiency,ProjectionAnalysis,SustainableWaterResourcesManagement基于非期望输出DEA模型的各省用水效率评价12,3张旭腾，于静洁1清华大学，北京2中国科学院大学，北京作者简介：张旭腾，清华大学水利水电工程系2013级本科生，2015年参加中国科学院大学生创新实践训练计划项目。文章引用:张旭腾,于静洁.基于非期望输出DEA模型的各省用水效率评价[
7、J].水资源研究,2017,6(2):138-147.https://doi.org/10.12677/jwrr.2017.62017基于非期望输出DEA模型的各省用水效率评价3中国科学院地理科学与资源研究所陆地水循环及地表过程重点实验室，北京收稿日期：2017年3月24日；录用日期：2017年4月11日；发布日期：2017年4月14日摘要用水效率是水资源利用的核心，科学评价用水效率对提高区域可持续水资源管理具有重要的指导意义。本文应用数据包络
