长沙市现代物流发展政策探析

湖南大学硕士学位论文长沙市现代物流发展政策探析姓名：熊泽南申请学位级别：硕士专业：国际贸易学指导教师：赖明勇20070501IIIAbstractLogisticspolicyisthesoftstructureoflogisticssystem,anditsroleisprovidinganidealsoftenvironmentforthedevelopmentofmodernlogistics,whichisapolicysupportsystemforthesustainedandhealthydevelopmentoflogistics.WiththerapiddevelopmentoflogisticsindustryinChangsha,thetotalcommunityoflogisticsisunderthewayofgrowthmomentum,logisticshasbecomeanimportantindustryforthedevelopmentofnationaleconomicinChangsha.Thegovernmentisalsofullyawareoftheroleofthelogisticsindustryandgivesspecialattentiontoit,theyareactivelyimplementingrelevantnationalandprovinciallogisticspolicies,andintroducingthenecessarypoliciestopromotethedevelopmentofthelogisticsindustryinChangsha.However,therearecertainproblemsintheadministrationofCitylogisticspolicy,marketmanagementandtheimplementationofthebasicpolicies.Basedonthis,thepapergivesaseriesstudiesofthedevelopmentofmodernlogisticspolicyenvironmentinChangsha,aimedatdiscussingananalyzingtheperspectivesanddimensionsofthedevelopmentofpolicyandthesesuggestionsareguidingsignificanceforthedevelopmentoflogisticspolicesofChangsha.Onthebasisofanalyzing,thetheoriesoflogisticspolicy,thispapergivesthesummaryofthecurrentstudysituationofthelogisticsindustrypolicy,whichmainlycontainsthedevelopingtheoriesofforeignpolicyandeconomicdevelopment.Thepaperbaseonchina'snationalconditionsmakestheanalysisofthelogisticspolicy-relatedfactors,designoflogisticspolicyandthebasicarchitectureoflogisticspolicy.Itexplainsthelogisticspolicyfameworkfromdifferentaspectsbyunderstandingtheabovedocuments.Thengivingthebasicanalysisfromanperspectiveofarea,economicandlogisticsintheexternalenvironmentofChangsha,usingtheMeanwhileGrayRelevanceTheorytoanalyzethedevelopmenttrendinChangsha.AccordingtothelogisticsurbanpositioningpatternofChangsha,givestheanalysisofitsdevelopmentstrategy.Finally,basisontheabovequalitativeandquantitativeanalysis,themodernlogisticsframeworkofthepolicy,accordingtothecoordinationofpolicy,regulatorypolicy,supportpolicyandindustrypolicygivingthediscussionandanalysisofthetheoryandtherelatedrecommendations.Keywords:logisticsdevelopment;logisticspolicy;greycorrelationdegree;rotationvolumeoffreighttransport1.1..............................................83.1.......................................................................................173.2GDP......................................193.3................................................193.419962005...................................203.5.................234.1............................................................275.1............................................................................322.1................................................113.1........................................................................183.22002-2006..............213.3X0Xi.....................................................................223.4................................................261□______2□“√”111.11[1]“”.“”10%1999198714.3%199310.1%19987.7%2070GNP13.7%198911.1%20038.5%2232“”()320015“”50%431.21.2.1117·179119·(F.List)[5][6]20602060(1965-1970)1970197371970(OECD)(1972)(1973)[7]()[8]42(1)[9](2)“”()“——”“”“”[10](3)()[11]“”“”32070305123456[12]123454.[13]12364[14]1.2.2KeebomKangKevinR.GueSeaBasedLogisticsPolicy:DistributionProblemsforFutureGlobalContingencies[15]Hon.JohnAndersonMPFreightLogisticsInAustraliaanAgendaforAction[16]“”“”7[17][18][19][20]“”[21]1.381.1922.12.1.11[22]——[23]EDIGPSGISITS2119807121981101431977-19989041984199859031(ThecouncilsLogisticsManagement.CLM)101962(TheNationalCouncilofPhysicalDistributionManagementNCPDM)aNCPDM19852(ReverseLogisticsExecutiveCouncilLEC)2.1.2501:[24][25]2160,260196437048051997;11()();6200073195619921954[26]2.1.3:2.11——[27][28]58.6%15%20961994150200050012[29]RyderMenloLogistics[30]2——1“”“”[31]21997——57270%20%10%[32]32.22.2.113()142.2.220042.2.315112310%90%23:162.312341733.11.18556170601.823088“”“”“”3.13.11820013.22006GDP1790.6614.8%314.5%4.1GDP123.25774.66892.7516512001GDP200121.1%40.4%199871/3[41]3.1“”20063.1200120022003200420052006GDP728.08812.9928.221108.851519.901790.66GDP12.10%12.70%14.00%14.80%14.90%14.80%662.51718.31803.501006.061300.621650.9510.20%13.60%21.35%25.20%27.30%26.90%370.53425.09533.93706.06955.131258.1616.20%20.50%27.76%28.30%28.10%30.10%1905001000150020002001200220032004200520060.00%2.00%4.00%6.00%8.00%10.00%12.00%14.00%16.00%GDPGDP3.2GDP3.320066.943.349.8“”“”“”0%10%20%30%40%50%2001200220032004200520063.33.3200584.49GDP5.55%14.65%2006GDP1790.6614.8%314.5%20[42]199620053.43.4199620053.2GDP1076582433%3.42021[43]2002-20063.23.22002-200679.9691.08101.17100.38109.5GDP812.9928.221108.851519.901790.6680.783.00103.33112.59123.25337.3393.92492.57655.27774.66394.9451.30512.95752.04892.75718.31803.501006.061300.621650.95401.10452.00525.13743.43865.61341.97382.16442.02626.72729.9816.6420.4424.5426.8329.309021993311021124341392420060(79.96,91.08,101.17,100.38,109.50)X=GDP1(812.9,928.22,1108.85,1519.9,1790.66)X=2(80.7,83,103.33,112.59,123.25)X=3(337.3,393.92,4