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简介：OlympicslogisticsnetworkaspreparationIn2003,theBeijingmunicipalgovernmentproposedtheblueprintforthreekeylogisticsprojectsforthe2008Olympics.Itplannedtobuildthreelogisticsbases(atYancuninFangshanDis-trict,MajuqiaoinTongzhou,andShaheinChangpingDistrict)alongwithtburlogisticscenters(atTianzhuinChaoyang,Shiba-jiadianinChaoyang,DazhuanginDaxing,andMentougou).Anumberofspecializeddistributioncentershavealsobebuiltto

简介：Theanalyticalmethodoftotalresourcereallocationeffectisanevolutionoftheanalyticalmethodofthefactorsofeconomicgrowth.SincethemarketizationreforminChinain1978,marketmechanismhasplayedamoreandmoreimportantroleinresourceallocation,andChineseeconomyhasdevelopedgreatly,whichiscalled'theChineseMiracle'.ThispaperanalyzestheeconomicgrowthinChinafrom1978to2004withtheanalyticalmethodoftotalresourcereallocationeffect.Theresultshowsthattheannualgrowthrateoftotalresourcereallocationeffectwas0.2%,whichwas5.1%ofthecomprehensiveproductivityand0.21%ofthegrossoutputgrowth,i.e.thetotalresourceallocationplayedaweakroleintheeconomicgrowthinChina.WhenanalyzingitinChenery'smultinationalmodel,wefindthatChinesecomprehensiveproductivitygrowthratewashigherthanthatinalltheincomephasesofthemodel,butthetotalresourceallocationeffectwasobviouslylowerthanthatinalltheincomephasesofthemodel.ItindicatesthatthetotalresourceallocationinChinahasagreatpotential,andthattoacceleratemarketizationreformisoneoftheimportantissuesforChineseeconomicdevelopment.

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简介：Energyespeciallyforrapidelectricityconsumptionincreasingisanobviousproblemduringtheprocessofurbanizationandeconomicgrowth.Itisalsoanimportantresearchfieldtoexploreintrinsicregularpatternofelectricityconsumptionandprovidesolvingapproaches.Firstly,thispaperstudiestherelationshipbetweenelectricityconsumptionandurbanizationviaGMMmodelbystagesandregions.Theresultsshowthatthemostobviousstageofurbanizationonelectricityconsumptionisthestagebetween1992-2000.Theresidents’incomehasanevidentinfluenceonelectricityconsumptionofeastregionandindustryalsohasgeneratedstrongerdrivingforceincentralandwestregions.Thenthepaperanalyzestherelationshipbetweenurbanizationandelectricityconsumptionbyimpulsefunctionandgraycorrelation,andthevariablesofurbanizationandindustrializationbothhavevariouspositiveimpulseeffect.Estimatingthegraycorrelation,centralprovinceswithhighpopulationdensityandlargesharesofindustryhavehighcorrelationdegreeinurbanizationandelectricityconsumption.

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简介：Confrontingthecontradictionbetweentherapiddevelopmentofeconomyandtheeffectiveprotectionofenvironment,anddevelopinglowcarboneconomybyoptimizingtheindustrialstructurehavebecomeoneoftheeffectivewaytoattractmoreattention.Inthepaper,wemadearesearchonthecorrelationbetweenchina’sthreemainindustriesandcarbonemissionintensitytofindoutthemainfactorswhichaffecttheintensityofcarbonemissioninChinabymeasuringthegrossemissioninchina’s28mainprovincesin2003-2013andusingGreycorrelationanalysisbasedonthechangetendency.Theresultsindicatethatthesecondindustryhasthelargestcorrelationwithcarbonemissionintensity;thetertiaryindustryhelpsreducetheintensityofcarbonemission,butitisnotveryobvious;thefirstindustryhastheleastimpactoncarbonemissionintensity.Inthelastpart,accordingtothecharacteristicsofindustrialstructureandcarbonemission,weputforwardthesuggestionsandstrategiesontheadjustmentofchina’sindustrialstructureinfuturewiththeresultsanalysis.

简介：TheamendedForeignTradeLawembodiesthefairnessofcompetitionrules.

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简介：ByusingGARCHandEGARCHmodels,theauthorsexaminetherelationshipbetweenpricevolatilityandnewinformationflow,representedbytradingvolume,andpastinformationflow,representedbytheARCHeffect,intheShanghaiStockMarketforthethreedifferentperiodsfromJuly1998toDecember2002:thesoftperiod,thebullperiod,andthebearperiod.Theempiricalresultsshowthat:(1)thereexistsa'leverageeffect'inthestockmarket;thatis,negativenewshadagreaterimpactonstockpricevolatilitythandidpositivenewsinthesoftperiodandbearperiod,butinthebullperiodthe'leverageeffect'behavesdifferently；(2)thereisasignificantlypositiverelationshipbetweentradingvolumeandstockpricevolatility,andsucharelationshipisevenmoresignificantinthebearperiod;(3)itturnsoutthatinthethreeperiods,therelationshipsbetweenstockpricevolatilityandinformationflow,bothpastandnew,arenotthesame;thatis,inboththesoftandbullperiods,boththeARCHeffect,reflecting'pastinformationflow',andtradingvolume,reflecting'newinformationflow',explainpricevolatilitysimultaneously,butinthebearperiod,theARCHeffectissubstantiallyreduced.Thesefindingsprovidekeyevidenceforunderstanding,explaining,andtrackingthecharacteristicsofpricevolatilityandthechangingrulesofthestockmarketinChinamorecomprehensively.