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上海交通大学硕士学位论文基于数据包络分析的上海郊区土地利用效率评价研究姓名：马琳申请学位级别：硕士专业：农业经济管理指导教师：顾海英20090501DEADEADEADEARC2DEADEADEADEARC222GSC2003-2007DEADEA20042003-2007DEA22GSCSTUDYONTHEEVALUATIONOFTHESHANGHAISUBURBSLAND-USINGBASEDONTHEDEAMETHODABSTRACTAlongwiththeeconomicaldevelopmentthescaleofconstructionlandconsumptionalsoexpandsyearbyyearwhichleadtheShortageofreservelandresourcesandthecontradictionsofresidentsandlandresources.TheShortageoflandresourceswastheconstraintsofthefurtherdevelopmentoftheShanghaieconomy.InthissenseShanghaicontinuestorelyonlarge-scalelandoperationtosupporteconomicgrowthisneitherrealisticnorpossible.ImprovingtheefficientuseoflimitedlandbecameanimportantwaytoalleviatetheshortageoflandresourcesinShanghai.LandresourcesinShanghaiaremainlylocatedinthesuburbsbuttheLanduseefficiencyisnothigh.Thereisinefficientcharacteristicssuchasextensiveidleandwasteland-using.Scientificevaluationoftheefficiencyoflandusetoimprovetheefficiencyoflanduseisveryimportant.SohowtoassesstheefficiencyoflanduseinShanghaiandhowhighisShanghaisuburbanland-usingefficiencyarethefocusofthisstudy.InthisstudyweuseDEAmethodwhichcansolvemulti-inputvariablesandmulti-outputvariablesproblemstoevaluateland-usingefficiencyof10suburbandistrictsandcountiesinShanghaiandmakesomepolicyrecommendations.ThefulltextisdividedintosixpartsInthefirstpartthestudymainlyelaboratedbackgroundmethodmeaningDatasourcesinnovationandtheframeworkofthefulltext.Thesecondpartmainlysummarizedthedomesticandinternationalresearchonland-usingefficiencyevaluationandDEAmethod.MostofthestudyindicatedthatDEAwasagoodmethodtoresolvetheissueofmulti-inputandmulti-outputvariableswhichcanignoretheweightevaluationtoavoidsubjectivity.Existingmethodscanonlyevaluatecomprehensiveland-usingefficiencyandisnotcapableofexploringthereasonfordifferenceinland-usingtechnologyefficiencyandscaleefficiency.ThethirdpartstartsfromdescribingthebasicideaofDEAmethodandthepurposeofevaluation.Nextbyestablishingtheevaluationsystemandthroughdataanalysissomeindicatorsareexcludedleaving7indicatorstobeused.FinallythebasicprinciplesofDEAmethodsandthemodelthispaperwilluseareintroduced.Theforthpartanalyzesthecurrentstatusofland-usinginoutskirtsofShanghai.AfterthatDEAmethodisusedtoevaluatethe10suburbandistrictsandcountiesofShanghaibasedonthedatafrom2003to2007.Conclusioncanbemadethatthereisobviouslydifferencebetween10counties.Chongminghasthehighestland-usingefficiency,followedbyPudongNewDistrictBaoshanDistrictMinhangDistricFengxianDistrictJinshanDistrictJiadingDistrictQingpuDistrictSongjiangDistrictNanhuiDistrict.Besidesanotherconclusioncanbealsomadethattheland-useefficiencyisgraduallyimprovedyearbyyear.PartfiveputforwardrecommendationsbasedontheanalysisoftheoutcomeofDEAmethodandrawdata.FirstraisethecapitalintensityoflandThesecondistoraiseincomelevelsintheruralareasofShanghaiThirdpayattentiontothequalityoftheenvironmentincreaseenvironmentalprotectioninvestmentFourthestablishingtheland-usingratingagenciesstrengthenland-usingappliedresearch.Partsixsummarizestheconclusionandtheinnovationofthispapercombinedwiththedifficultyencounteredduringthestudy.Thispaperhastwoinnovations.Firsttheevaluationsystemiscomprehensivecoveringnotonlyeconomicindicatorbutalsosocialindicator.SecondsomeimprovementhasbeenmadetotheDEAmethodmakingitmoreaccurate.KEYWORDS:dataenvelopmentanalysislandlanduseefficiencyShanghaisuburbs11.1GDP590093%11120062293%31.233DEAP2.1SPSS13EXCEL1.32003-200720072004-20082004-20082004-20081.42003-200741.51-151-1Fig1-1ArticlestructureDEARC222GSCDEA2003-20076DEADEADEADEA2003-20071.67DEADEADEARC22.181995[1]12.2[2][3][4]9DEA2.3CharnesCooperRhodes(1978)DEA[5]DEA(AthanassopoulosandGiokas1997AthanassopoulosandKarkazis1997AthanassopoulosandMylonoPoulos1997)[6][7][8]CharnesCooperRhodes989SSCISCI(20032)DEA1978DEADEA(CharnesCooper1985SeifordTharll1990)[9][10]DEADEA2.3.1DEADEADEADEA1DEADEAR.D.Banker1986DEA[11]DEADEA[12]2004DEA[13]DEA10DEA2DEADEA1989DEADEADEA[14]1994RC222GSCDEADEA[15]2004DEA3[16]DEADEA3DEADEADEADEADEA1987DEA[17]B.Golany1989RC2[18]1991DEA[19]DEADEA2.3.2DEACCRBCC(CharesCooperRhodes1978BankerCharnesCooper1984[5][20])(assurnaceregion)(Thompsonetal.1986)[21]CoopeHunagLi(2004)[22]RC2DEADEA[23]RC2RC2DEA1985CharnesCooper22GSC[9]22GSC22GSCDEARC222GSC2.3.311DEADEADEA“”“”“”DEADEA1986DEADEA[24]DEADEA1989DEA[25]200022GSC[26]2004DEA2002-2003[27]DEAWilliam1987[28]Charnes1989[29]Fare1989[30]Wade1989[31](2004)94MATLAB[32]200513[33]DEA(2005)1712[34](2005)Kruskal-WallisDEAGDP[35]DEARC22.3.4DEADEADEA2000[36]DEADEADMUDEA2.3.5DEA1DEA“”“”2DMUDEADMUDEA13DMU1/3[16]50DMU7(750*1/3)DMU2.4DEADEADEADEARC2RC222GSC143.1DMUDMUDMUDMUDEADEA1DEA3-13-1DEAFig3-3DEAmethodsteps1.DEA[J].20036DEA153.2DEA3.3DMUDEA10DEADMUDMU32003-20075DMU502003-20073.43.4.1DEADEADEADEA516DMUDEA13.4.2DEADMUDMUDEA1CooperDMU3550DMU353*5*350Cooper3.4.31·baKALQ=QLK·321.DEA[M].1998173-13-11X2X3X1Y2Y3Y4Y5Y3.4.4123-23-250135.3964154.5332750501.4200587.340715016199.30002925.91351508361.31401705.10738502325.77682210.1691350211.9752176.7787550617.0678207.242805074.510239.877623.4.5DEA11.[J].199811