简介：Basedontheexploratoryspatialdataanalysis(ESDA)techniqueandgeographicinformationsystem(GIS)platform,withstatisticdataofcountiesin2005,thispaperconfirmsthatthereisalargepopulationdensitygapbetweencountiesin2005becausetheGinicoefficientis0.55.Populationdistributiondoesnotchangealotduringthepastdecades,andthesoutheastChinaisstillmuchmoredenselypopulatedthanthenorthwestChina.TheglobalspatialautocorrelationofpopulationdistributionisobviousbecauseMoran'sIscores0.42andlocalspatialautocorrelationispartlysignificant.Climateandelevationarestillthemainnaturalinfluencingfactors.Meanwhileindustrialstructureandtransportationsignificantlyinfluencepopulationdistribution.Differentcombinationsofnaturalfactorshavedifferenteffectsonpopulationdistribution.Foralongterm,climateandterrainfactorstabilityaffectpopulationdistribution.Butitsinfluencewillbeweakenedbyprogressoftechnology.Economicdevelopmentisthemainfactorthatchangespopulationdistributionforashortterm.

简介：Inthispaper,theauthorusessuper-efficiencyDEAmodeltomeasurethenationalandregionalenergyefficiencyinChina;usingspatialeconometricmodelandfromtheperspectiveofgeo-spatialspillover,theauthorinterpretsthespatialcharacteristicsofenergyefficiencyandextractsthemainfactorsthatinfluencetheregionalenergyefficiency.Theanalysisresultsshowthat:(1)thenationalandregionalenergyefficiencyisconsistentwithinvertedU-shapedcurve,andthenationwideenergyefficiencygapisincreasing;(2)energyefficiencyhastheobviouseffectofthespatialexternaleffect,andwhenthegovernmentmakesenergysavingstrategies,inter-regionalenergycooperationandtheproliferationofadvancedproductiontechnologyshouldbegivenmorepriority;(3)energyefficiencyhassignificantnegativecorrelationwithgovernmentintervention,industrialstructure,ownershipstructure,theenergyconsumptionstructure,andresourceendowments,andhaspositivecorrelationwiththedegreeofopening-upandenergyprice.

简介：Themainobjectiveofthisstudyistosimulatethepotentialvegetationtypesonthebasisofenvironmentalparameters.ThepapertookBarkamCountyinamountainousregionoftheEasternTibetanPlateauasthestudyarea.Thevegetationdistributionwasmappedin1994and2007basedonTMremotesensingimagesbyobject-orientedinterpretationmethod.Weoverlaidthetwomapstofindoutthevegetationpatcheswhichhavenotchanged,andtookthemasstabletypes.Fiftypercentofthestablepatcheswererandomlysampledtooperatethelogisticregressionwithrelatedenvironmentalparameters;otherswereusedastestdataofsimulatedresults.Sevenenvironmentalparametersweremapped,includingelevation,slope,aspect,surfacecurvature,solarradiation,temperatureandprecipitation,basedonDEMdataandmeteorologicalsitedatabyGIStechnology.Therelationshipbetweenthespatialdistributionofvegetationandenvironmentalvariableswerequantifiedbylogisticregression.Thedistributionprobabilitiesofeachvegetationtypewerecalculated.Finally,thespatialdistributionofpotentialvegetationwassimulated.Thisresearchcanprovideascientificbasisforvegetationrestorationandecologicalconstructioninthisarea.

简介：Thispaperanalyzestheimpactofincomedistributiongaponconsumptiondemandfromatheoreticalview,anddrawstheconclusionthatthereisaninverserelationshipbetweenincomedistributiongapandconsumptiondemand.Then,thepaperfindsthattheexistingwideningincomedistributiongapinChinahasanegativeimpactonconsumptiondemand,butthisisnotthekeyfactorfortheinsufficientconsumptiondemandbecauseofthelowlevelofpercapitalincome.Atlast,itsuggeststhatgovernmentsshouldimprovetheincomelevelofentireresidentsandadjustincomedistributionstructuresimultaneously.