区域物流与区域经济的协同发展评价研究——以成都市为例

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1、万方数据西南交通大学硕士研究生学位论文第1I页AbstractWiththedeepeningofeconomicglobalization，companiesbegintointegratetheresourcesonaglobalscale．Theintegrationofglobalresourcescaneffectivelyoptimizeandallocateresource，andpromotethehealthydevelopmentoftheglobaleconomy,butthe

2、spaceandtimeshiftofrawmaterialsandfinishedproductsneedtobeguaranteedbythecomprehensivelogisticsservice．Asserviceindustriesofthenationaleconomy,logisticshasplayedafundamentalsupportingroleinthedevelopmentofregionaleconomic，asthelevelofdevelopmentofthelo

3、gisticsindustrycangreatlyaffecttheenvironmentalofdevelopmentandinvestmentintheregion．HoweveLthedevelopmentalfoundationoftheregionallogisticsisregionaleconomic，industry,commerce，etc．Only．economicdevelopmentCancreateahugedemandforlogistics，thuspromotingt

4、hesustainableandrapiddevelopmentofregionallogistics．．Practiceshowsthattheregionallogisticsandregionaleconomyareclosely,onlytwocollaboratNedevelopmentcanachievewin—win．WiththeintroductionofvariousgoodpoliciesfromtheNation，SichuanProvincetoChengdu，andwit

5、htherapideconomicdevelopmentofChengduinrecentyears，thelogisticsindustryhasachievedleapfrogdevelopmentinChengdu．However,therestillexistslotsofproblems，suchasrelativelysmallscale，supplyanddemandimbalance，themodeofoperationisrelativelybackward，whichisnotc

6、onducivetothecoordinateddevelopmentofregionallogisticsandregionaleconomy．Atpresent，domesticandforeignexpelsandscholarshavestudiedthemechanismofevolutionandlogisticswhichcontributetoeconomicdevelopment．Whilethestudyfromtheperspectiveofquantitativeandthe

7、coordinateddevelopmentofbothisstillless．Thispaperaimstobuildmethodstoevaluatethedevelopmentofregionallogistics，regionaleconomyandtheregionalpillarindustries，andthenidentifythemostcriticalfactoraffectingcoordinationofthecomplexsystemthroughsensitivityan

8、alysis，whichprovidingabasisforpolicyformulation．Specificstudiesareasfollows：1．Theevaluationindexsystemofregionallogisticssubsystems，regionaleconomicsubsystemandtheregionalpillarindustriessubsystemareconstructedrespectively,then万方数据西南交通大