简介：Regionaldevelopmentisacourseofaccumulationbasedonmanyfactors,whichisdirectlyrelatedtoresourcesutilizationandconversion.Andmaterialwealthproductionandaccumulationembodytheoutcomeofregionaldevelopment.Thus,focusingonmaterialwealth,regionaldevelopmentcanbeevaluatedfromresourcesandperspectiveofresourcesconversion.Takingtheinfrastructurallevel,transportationaccessibilityandeconomicdevelopmentlevelintofullaccount,theconceptof'material-baseddevelopment'waspresentedandthematerial-baseddevelopmentindex(MDI)modelwasestablished.ByusingtheMDImodel,geographicinformationsystemtechnologyandmathematicmethods,thisarticlethencalculatedMDIofeachcountyandprovinceofChinain2005andsystematicallyevaluatedthematerial-baseddevelopmentofChinaatcountyandprovincialscales,soastobringsomescientificreferencesandpolicy-makingsupportstothepopulationdevelopmentfunctionorientedzoningandpopulationspatialdistributionplanningofChina.Theresultshowedthat:(1)Atcountyscale,thematerial-baseddevelopmentofcountieswithinChinain2005wassignificantlydifferent,inwhichtherewere1876countiesbelongingtothemid-levelmaterial-baseddevelopmentandaccountedfor78.10%ofthetotal.Thenumbersofhigh-levelandlow-levelcountieswere144and382andaccountedfor6.00%and15.90%respectively,demonstratingaspindleshapeingeneral.Thespatialdistributionofmaterial-baseddevelopmentwasunbalanced,anditwasmuchbetterinsoutheasternpartofthelineof'Daxinganling–Yinshan-Liupanshan–southeastedgeofQinghai–TibetPlateau'thanthatofnorthwestern.Furthermore,therewerealsodifferencesofthesub-indexbetweendifferentmaterial-baseddevelopmentlevels.Therefore,fordifferentregions,keyissuesandmeasuresadaptabletolocalconditionshouldbeprioritizedandtakeninordertorealizeregionalbalancedevelopment.(2)Atprovincialscale,therewasalsosignificantdifferen

简介：Inthispaper,weintroducethecombiningstatedpreferenceandrevealedpreferencemethodswhichisthestate-ofthe-artmethodforthevaluationofnon-marketgoods.Revealedpreferencemethodsandstatedpreference(SP)methodshavebothbeenappliedbyeconomistsinvaluingnon-marketgoods;howeverbothmethodshaveinherentweaknesses.Inordertoexploitthestrengthsofthevariousapproacheswhileminimizingtheirweaknesses,combiningthetwomethodshasbecomeanimportantmethodologicaloption.Uptonow,agrowingnumberofliteraturesofstudyingcombingthetwotypesofdatahaveevolved,andresearchersdevelopedthreetypesofmodelstoestimatecombiningrevealedpreferenceandstatedpreferencedatainacademicfields:discretechoicemodel,continuouschoicemodelandmixedchoicemodel.Combiningstatedandrevealedpreferencemethodshavebeendevelopedfastespeciallyinthetransportstudyfieldinwhichideascouldalsobeleantforenvironmentaleconomicstudies.