版权说明:本文档由用户提供并上传,收益归属内容提供方,若内容存在侵权,请进行举报或认领
文档简介
PublicDisclosureAuthorizedPublicDisclosureAuthorized
PolicyResearchWorkingPaper10952
TheWorldwideGovernanceIndicatorsMethodologyand2024Update
DanielKaufmannAartKraay
WORLDBANKGROUP
ProsperityPracticeGroup
OfficeoftheChiefEconomistNovember2024
ReproducibleResearchRepository
Averifiedreproducibilitypackageforthispaperisavailableat
,clickherefordirectaccess.
PolicyResearchWorkingPaper10952
Abstract
ThispaperprovidesanoverviewofthedatasourcesandaggregationmethodologyfortheWorldwideGovernanceIndicators(WGI).TheWGIreportsixaggregategover-nanceindicatorsmeasuringVoiceandAccountability,PoliticalStabilityandAbsenceofViolence/Terrorism,Gov-ernmentEffectiveness,RegulatoryQuality,RuleofLaw,andControlofCorruptioninasampleof214economiesovertheperiod1996–2023.Theaggregateindicatorscom-bineinformationfrom35differentexistingdatasources,capturingsubjectiveperceptionsofthequalityofvarious
dimensionsofgovernancereportedbyexpertsandsurveyrespondentsworldwide.Thepaperbrieflydiscusseshowtousereportedmarginsoferrorwheninterpretingcross-coun-tryandover-timedifferencesintheaggregateindicators.ThepaperalsoupdatesandextendsearlieranalysisonthreekeyissuesrelatingtotheWGImethodology:(a)theeffectofcorrelatedperceptionerrors,(b)therobustnessoftheaggregateindicatorstoalternativeweightingschemes,and(c)theexistenceontrendsinglobalaveragesofgovernance.
ThispaperisaproductoftheOfficeoftheChiefEconomist,ProsperityPracticeGroup.ItispartofalargereffortbytheWorldBanktoprovideopenaccesstoitsresearchandmakeacontributiontodevelopmentpolicydiscussionsaroundtheworld.PolicyResearchWorkingPapersarealsopostedontheWebat
/prwp
.Theauthorsmaybecontactedatakraay@.Averifiedreproducibilitypackageforthispaperisavailableathttp://reproducibility.,clickherefordirectaccess.
R
Y
C
I
L
R
A
E
S
E
O
P
H
C
S
TRANSPARENT
P
E
R
W
O
R
K
I
ANALYSIS
A
NGP
ThePolicyResearchWorkingPaperSeriesdisseminatesthefindingsofworkinprogresstoencouragetheexchangeofideasaboutdevelopmentissues.Anobjectiveoftheseriesistogetthefindingsoutquickly,evenifthepresentationsarelessthanfullypolished.Thepaperscarrythenamesoftheauthorsandshouldbecitedaccordingly.Thefindings,interpretations,andconclusionsexpressedinthispaperareentirelythoseoftheauthors.TheydonotnecessarilyrepresenttheviewsoftheInternationalBankforReconstructionandDevelopment/WorldBankanditsaffiliatedorganizations,orthoseoftheExecutiveDirectorsoftheWorldBankorthegovernmentstheyrepresent.
ProducedbytheResearchSupportTeam
TheWorldwideGovernanceIndicators:Methodologyand2024Update
DanielKaufmann*andAartKraay**TheWorldBank
*PresidentEmeritus,NaturalResourceGovernanceInstitute,andSeniorFellowatResultsforDevelopmentandThe
BrookingsInstitution;**ChiefEconomist,ProsperityPracticeGroup,WorldBankakraay@.ThedatafortheWorldwideGovernanceIndicatorsareavailableat.Anoteonself-citation:This
paperdrawsextensivelyonourearlierjointworkoverthepast25yearstodesign,implement,andassesstheWGImethodology.Inadditiontothe2024updateoftheWGIdiscussedinthispaper,thelimitedneworupdated
analysisinthispaperisclearlyindicatedassuch.Theremainderofthepapershouldbeviewedasasummaryofourpreviousworkandnotoriginalresearch.AfulllistingofourearlierworkingpapersandjournalarticlesontheWGIisincludedinthereferencesofthispaper.Averifiedreproducibilitypackageforthispaperisavailableat
.Theviewsexpressedherearetheauthors’anddonotreflecttheofficialviewsoftheWorldBank,itsExecutiveDirectors,orthecountriestheyrepresent.
1
1.Introduction
Thispaperprovidesanoverviewofthedatasources,aggregationmethodology,andmainfindingsoftheWorldwideGovernanceIndicators(WGI).TheWGIarealong-runningdataproductfirstpublishedin1999(seeKaufmann,KraayandZoido-Lobaton(1999)forthefirstpresentationofthemethodologyandaggregateindicators),withsubsequentannualupdates.TheWGIreportdataonsixaggregateindicatorsofgovernance:VoiceandAccountability,PoliticalStabilityandAbsenceofViolence/Terrorism,
GovernmentEffectiveness,RegulatoryQuality,RuleofLaw,andControlofCorruption,covering214
economiesovertheperiod1996-2023.Theaggregateindicators,theunderlyingindividualindicatorson
whichtheyarebased,andextensivedocumentationofthemethodology,areavailableat.
TheWGIdonotinvolvenewprimarydatacollectiononourpartasauthorsoftheWGI.Rather,theaggregateindicatorsareconstructedbycombiningseveralhundredindividualindicatorsmeasuring
aspectsofgovernancetakenfrom35existingdatasourcesthatcaptureperceptionsandviewsofthe
qualityofgovernancereportedbymanyexpertsandsurveyrespondentsworldwide.TheWGIrelyonadiversesetofdatasources,includingseveralglobalandregionalsurveysofhouseholdsandfirms,aswellasmanyexpertassessmentsproducedbyarangeoforganizationsinthepublic,private,andNGO
sectors,oftenscoredbynetworksofexpertslivingandworkinginthecountriesorregionsthatthey
assess.FiveWGIdatasourcesareproducedbyorganizationsheadquarteredindevelopingcountries1,andafurthereightWGIdatasourcesarehouseholdorfirmsurveysdirectlycapturingtheviewsof
surveyrespondentsindevelopingaswellasadvancedeconomies.
TheWGIarebasedonperceptionsdataforfourreasons:(1)perceptionsmatter,becausehouseholdsandfirmsmakedecisionsbasedontheirviewsandperceptionsofthequalityofgovernance;(2)for
somedimensionsofgovernancesuchascorruptionthatdonotleavea“papertrail”,datameasuring
subjectiveperceptionsofcorruptionorself-reportedexperienceswithcorruptioncanprovidevaluableinsights;(3)datacapturingrespondents’perceptionsandviewscanprovidevaluableinformationonthegapbetweendejurerulesandtheirdefactoimplementation;and(4)unlikeobjectiveindicatorsthat
capturetheexistenceofspecificlaws,rulesandregulations,datacapturingsurveyandexpert
respondents’viewsarenotsusceptibleto“gaming”wherepolicymakerstargetreformstonarrowly
1TheAsianDevelopmentBank(basedinthePhilippines),theAfricanDevelopmentBank(basedinCoted’Ivoire),Afrobarometer(basedinGhana),theCenterforDemocracyandDevelopment(basedinGhana),andtheAfricanInstituteforDevelopmentPolicy(basedinKenyaandMalawi).
2
changespecificmeasuressimplybecausetheyhappentobeincludedinanaggregateindicatorthattheywishtoinfluence.Ofcourse,wedonotarguethatonlyperceptionsdataarerelevantformeasuring
governance.Rather,aswediscussinmoredetailinSection2.2below,ourpointissimplythatthistypeofdatabringsvaluableinsightsthatcanbeusedinconjunctionwithothertypesofinformationto
measuregovernanceacrosscountriesandovertime.
Theindividualindicatorsfromthe35datasourcesareassignedtothesixdimensionsofgovernanceandarecombinedintosixaggregateindicatorsusingastatisticalmethodologyknownasanUnobservedComponentsModel(UCM).Thestatisticalmethodologyconvertsthedatasourcesintocommonunits
andconstructsaweightedaveragethatcombinestheinformationineachofthedatasources.The
methodologyalsoproducesmarginsoferrorthatcapturetheunavoidableimprecisioninvolvedwith
measuringgovernanceacrosscountries.ThisimprecisionisnotuniquetotheWGI,butratherislikelytobepervasiveinanyeffortstomeasuregovernanceandinstitutionalqualityacrosscountries.Akey
attributeoftheWGIisthatthesemarginsoferrorareexplicitlyreportedalongsidetheestimatesof
governanceandshouldbeconsideredwhencomparingestimatesofgovernanceacrosscountriesandovertimeusingtheWGI.Incontrast,inmanyothermeasuresofgovernanceandinstitutionalquality,theyareleftimplicit.
TheWGIaredesignedtoenablebroadcross-countryandover-timecomparisonsofperceptionsof
governance,reflectingthesynthesisofviewsacrossmanyexistingdatasources,andwithdueregardformarginsoferror.Atthesametime,thereisawealthofinformationintheindividualdatasources
themselvesthatcanusefullybeexploredforunderstandingthefactorsbehindoverallpatterns
summarizedintheaggregateindicators.Forthisreason,thecomponentdataoftheWGIarereadily
availablethroughtheWGIwebsite,andusersareencouragedtoconsultthisdataalongsidethe
aggregateindicators.Inaddition,theWGIarenotdesignedtobeatooltoevaluatespecificgovernancereformsinindividualeconomies–forthispurpose,theWGIshouldbesupplementedwithmoregranularcountry-specificdataandanalysisthatcanshedlightonthelikelyimpactsofspecificpolicyand
institutionalreforms.
ThispaperalsoupdatesandexpandsearlierevidencewehaveprovidedonthreekeymethodologicalissuesrelatingtotheWGI:(1)thepossibilitythatdifferentdatasourceshavecorrelatedmeasurement
errors,withimplicationsfortheweightingschemeandprecisionoftheaggregateindicators;(2)the
possibilitythattheaggregateindicatorsmightchangesubstantiallywithalternativereasonableweightingschemes,withimplicationsfortherobustnessofthecross-countryandover-timepatternsinthesix
3
aggregateindicators;and(3)thepossibilityoftrendsinglobalaveragesofgovernance,withimplicationsfortheinterpretationofthebaselineWGIestimateswhereglobalmeansarenormalizedtozeroineveryperiod.Ourupdated–andinsomecasesexpanded–analysisisconsistentwithourearlierevidenceand
supportsourpreviousconclusionsthatthemethodologicalchoicesinthebaselineWGIestimatesareappropriate.Specifically,wedonotfindclearevidenceofcorrelatedperceptionserrorsacrossdata
sources,andwefindthatanequallyweighted(insteadofprecisionweighted)averageofthedata
sourcesleadstoverysimilarestimatesofgovernanceacrosscountries.Wealsofindnoevidenceof
significanttrendsinglobalaveragesofgovernanceasmeasuredbytheWGIdatasources.ThismeansthatthebaselineWGIchoiceofunitsthatnormalizestheglobalmeanofgovernancetobethesameineachperiodisappropriate,andthatchangesovertimeineconomies’relativepositionsonthesix
aggregateWGImeasuresbroadlycorrespondtoabsolutechangesascollectivelymeasuredbytheWGIdatasources.
TheWGIarewidelyusedforbroadcross-countryandover-timecomparisonsofgovernanceina
varietyofcontexts.Theyarefrequentlyusedinacademicandpolicyresearch,asevidencedbytheover25,000citationstothevariousWGImethodologypapersrecordedinGoogleScholar.2Theyareused–
togetherwithavarietyofotherindicators–bytheUnitedStatesMillenniumChallengeCorporationto
determinecountryeligibilityforitsaidprograms.3Recognizingthattheyhavepredictivepowerfordebtservicingdifficulties,theWGIareusedbymajorcommercialriskratingagenciesasoneofmanyinputstotheirmodelstoassesssovereignrisk,aswellasbytheInternationalMonetaryFundasakeyindicatorofgovernanceinitsDebtSustainabilityFrameworkforMarketAccessCountries.4Fourth,theyareused–togetherwithmanyotherindicators–toinformenvironmental,socialandgovernance(ESG)investmentstrategiesandcorporatesocialresponsibilitypoliciesbyfirmsintheprivatesector.5
Therestofthispaperisorganizedasfollows.Section2definesthesixgovernancedimensions,
providesanoverviewofthe35WGIdatasources,anddescribeshowtheindividualvariablesfromeach
2ThetopfivemostcitedWGImethodologypapers(withhyperlinkstotheirGoogleScholarlistings)areKaufmann,KraayandMastruzzi(2011),Kaufmann,KraayandMastruzzi(2009),Kaufmann,KraayandMastruzzi(2004),
Kaufmann,KraayandZoido-Lobaton(1999b)andKaufmann,KraayandZoido-Lobaton(1999a).
3ForinformationonMCCeligibilitycriteria,see
/who-we-select/scorecards/
.
4Forexample,forinformationontheFitchsovereignratingmethodology,clickhereandforMoody’s,clickhere.SeealsoIMF(2021)
5Forexample,theWGIareincludedintheWorldBank’sSovereignESGDataPortal,theyareusedintheMorganStanleyCapitalInternational(MSCI)ESGGovernmentRatingsMethodologyandtheFTSE-RussellSustainable
SovereignRiskMethodology,andtheyareusedbytheDisneyCorporationtoinformitsPermittedSourcingCountriespolicy.
4
ofthesedatasourcesareassignedtothesixgovernancedimensions.Annex1providesanannotatedsummaryoftheWGIdatasourceswithlinkstotheirmethodologyanddata,andAnnex2providesacompletelistingoftheassignmentofindividualindicatorstothesixaggregateindicators.Section3reviewstheaggregationmethodologyfortheWGI,andAnnex3providesfurthertechnicaldetails.
Section4providesabrieftourofthemostrecentaggregateindicators,withaparticularemphasisonhowtousemarginsoferrorwhencomparinggovernanceacrosscountriesandovertime.Section5updatesandexpandsonearlieranalysisofthreekeymethodologicalissuesintheWGI,andSection6offersbriefconcludingremarks.
2.Data
Inthissectionofthepaper,wefirstdefinethesixdimensionsofgovernancecorrespondingtothesixaggregateindicatorsreportedintheWGI.Wethendiscussthedatasourcesthemselves,howtheyare
selected,andhowtheindividualindicatorsfromthesemanydatasourcesareassignedtothesixaggregateindicators.
2.1SixGovernanceDimensions
Weorganizethemanyindividualindicatorsofgovernancedescribedbelowintosixgovernance
dimensions,basedonadefinitionofgovernanceas“thetraditionsandinstitutionsbywhichauthorityinacountryisexercised.Thisincludes(a)theprocessbywhichgovernmentsareselected,monitored,andreplaced;(b)thecapacityofthegovernmenttoeffectivelyformulateandimplementsoundpolicies;and(c)therespectofcitizensandthestatefortheinstitutionsthatgoverneconomicandsocialinteractionsamongthem”.Weconsidertwogovernancedimensionsineachofthesethreeareasforatotalofsix
dimensions.
(a)Theprocessbywhichgovernmentsareselected,monitored,andreplaced
1.VoiceandAccountability(VA)–capturingperceptionsandviewsoftheextenttowhicha
country'scitizenscanparticipateinselectingtheirgovernment,aswellasfreedomofexpression,freedomofassociation,andafreemedia.
2.PoliticalStabilityandAbsenceofViolence/Terrorism(PV)–capturingperceptionsandviewsofthelikelihoodthatthegovernmentwillbedestabilizedoroverthrownbyunconstitutionalorviolentmeans,includingpolitically-motivatedviolenceandterrorism.
(b)Thecapacityofthegovernmenttoeffectivelyformulateandimplementsoundpolicies
5
3.GovernmentEffectiveness(GE)–capturingperceptionsandviewsofthequalityofpublicservices,thequalityofthecivilserviceandthedegreeofitsindependencefrompolitical
pressures,thequalityofpolicyformulationandimplementation,andthecredibilityofthegovernment'scommitmenttosuchpolicies.
4.RegulatoryQuality(RQ)–capturingperceptionsandviewsoftheabilityofthegovernmenttoformulateandimplementsoundpoliciesandregulationsthatpermitandpromoteprivatesectordevelopment.
(c)Therespectofcitizensandthestatefortheinstitutionsthatgoverneconomicandsocialinteractionsamongthem:
5.RuleofLaw(RL)–capturingperceptionsandviewsoftheextenttowhichagentshave
confidenceinandabidebytherulesofsociety,inparticularthequalityofcontractenforcement,propertyrights,thepolice,andthecourts,aswellasthelikelihoodofcrimeandviolence.
6.ControlofCorruption(CC)–capturingperceptionsandviewsoftheextenttowhichpublic
powerisexercisedforprivategain,includingbothpettyandgrandformsofcorruption,aswellas"capture"ofthestatebyelitesandprivateinterests.
Whilethesesixdimensionsareconceptuallydistinct,thisdoesnotimplythattheyare
independentofoneanother.Forexample,betteraccountabilitymechanismsmayleadtolesscorruption,oramoreeffectivegovernmentismorelikelytoprovideabetterregulatoryenvironment,orrespectfortheruleoflawleadstofairerprocessesforselectingandreplacinggovernments.Giventhese
interrelationships,itisnotverysurprisingthatoursixcompositemeasuresofgovernancecorrespondingtothesesixdimensionsarestronglypositivelycorrelatedacrosseconomies.Werefrainhoweverfrom
combiningthedimensionsclustersintoasingleoverallcompositegovernanceindicator,forconceptualandstatisticalreasons.Conceptually,theresultingindicatorwouldbeextremelybroadanddifficultto
interpret.Statistically,wewouldfacetheadditionalchallengethatmanyofourunderlyingdatasourcesfeedintomorethanoneofthesixaggregateindicators.Thisraisestheconcernthatsomeofthe
observedcorrelationbetweenthesixaggregateindicatorsmaysimplyreflectthefactthattheydrawoncloselyrelatedindicatorsproducedbythesameorganization,ratherthantruepatternsintheunderlyingdimensionsofgovernance.Thisinturncomplicatestheconstructionofmarginsoferrorthatwouldbeessentialforinterpretingcross-countrydifferencesandover-timechangesinsuchanoverallaggregate
indicatorofgovernance.SeethediscussioninSection5.1belowformoredetailsonthisissue.
6
2.2SourcesofGovernanceData
The35WGIdatasourcesusedinthe2024updatearesummarized
inTabIe1,
withamoredetaiIeddescripⅥonofeachdatasourceinAnnex1.TheWGIdatasourcesfaIIintotwobroadcategories:surveysoffirmsandhousehoIds,andexpertassessments.TheformerincIudesseveraImajorsurveysoffirm
managers:theWorIdEconomicForum’sExecuⅥveOpinionSurveythatinformstheirannuaIGIobaI
CompeⅥⅥvenessReport,theInsⅥtuteforManagementandDeveIopment’sExecuⅥveOpinionSurvey
thatinformstheirannuaIWorIdCompeⅥⅥvenessReport,andtheWorIdBank’sEnterpriseSurvey
Program,whichhasrecentIybeengreatIyexpandedtoachievenear-gIobaIcoverageonarotaⅥngthree-yearcycIetoinformtheWorIdBank’snewBusinessReadyreportseries.TheWGIaIsoincIudedatafromseveraIregionaIhousehoIdsurveyprograms(Afrobarometer,LaⅥnobarometro,AmericasBarometer,andEuropeanQuaIityofGovernanceSurvey),asweIIasonegIobaIhousehoIdsurvey(theGaIIupWorIdPoII).InaddiⅥon,oneofourdatasources,theWorIdJusⅥceProjectRuIeofLawIndex,isahybridcombining
findingsfromanexpertassessmentwithacross-countryhousehoIdsurveywithnear-gIobaIcoverage.ThesefirmandhousehoIdsurveydatasourcesareparⅥcuIarIysaIientbecausetheydirectIycapture
surveyrespondents’percepⅥonsofthequaIityofgovernanceinthecountriesinwhichtheyIive.IntotaI,househoIdandfirmsurveysmakeup11ofthe35datasourcesintheWGI.
Theremaining24WGIdatasourcesareexpertassessments,relecⅥngthepercepⅥonsandviewsofexpertsa代IiatedwitharangeofNGO,privatesector,andgovernmentsectororganizaⅥons.AIIofthemshareabroadIysimiIarapproachinwhichexpertsempIoyedand/orrecruitedbytheorganizaⅥon
providenumericaIscoresofvariousdimensionsofgovernance,foIIowingastandardizedmethodoIogyandsetofdefiniⅥonsdeveIopedbytheorganizaⅥonproducingthedatasource.Inmanycases,the
expertsprovidingtheassessmentsarebasedinthecountryorregiontheyassess.ThesedatasourcesbasedonexpertassessmentshaveadvantagesanddisadvantagesreIaⅥvetosurveys.OneadvantageisthattheyIendthemseIvesweIItocross-countrycomparisons,astheirmethodoIogiesareexpIicitIy
designedforthispurpose.ExpertassessmentscanaIsoprovidemoregranuIartechnicaIassessments,forexampIeonthequaIityofspecifictypesofpubIicinsⅥtuⅥons,thatwouIdbemoredi代cuItfora
typicaIhousehoIdorfirmsurveyrespondenttoprovideandinformedviewon.ExpertassessmentsaIsoareIessIikeIytobeaffectedbyrespondentreⅥcence,aconcerninhousehoIdandfirmsurveyswhere
7
respondentsmaybeunwillingtogivecandidresponsestosensitivequestionsaboutcorruptionorotherdimensionsofgovernance,particularlyincountrieswheregovernanceisweak.6
Ontheotherhand,ashortcomingofexpertassessmentsisthattheyreflecttheviewsofanarrowersetofrespondentsthanhouseholdorfirmsurveys.Italsoispossiblethattheratingsprovidedbyone
expertassessmenttosomeextentreflecttheviewsofotherexpertassessments,sothateach
assessmentdoesnotbringcompletelyindependentinformationontheunderlyinggovernanceconceptofinterest.Toguardagainstthis,wedonotuseexpertassessmentsthatareexplicitlybasedonotherexistingdatasources.7InSection5.1weprovidefurtheranalysisofthisissue.
TheWGIinclude12expertassessmentsproducedbyNGOs.Thedataprovidedbythese
organizationscoverarangeofspecifictopics,includingpressfreedoms(ReporterswithoutBorders),
politicalrightsandcivilliberties(FreedomHouse),humanrights(HumanRightsMeasurementInitiative),budgettransparency(OpenBudgetProject),andelectoralintegrity(AfricaElectoralIndex).Anumberofthesedatasourcescoverabroaderrangeoftopicsrelatingtogovernance,includingtheBertelsmann
TransformationIndexandtheVarietiesofDemocracyProject.Theorganizationsprovidingthedataaregeographicallydiverse,basedinEurope(VarietiesofDemocracy,ReporterswithBorders,BertelsmannFoundation),Africa(AfricaElectoralIndexandAfricaIntegrityIndicators),NewZealand(HumanRightsMeasurementInitiative),inadditiontotheUnitedStates(e.g.FreedomHouse,OpenBudgetProject,
WorldJusticeProject).
TheWGIalsoincludeeightdatasourcesprovideddirectlyorindirectlybypublicsector
organizations.Mostnotableamongthesearefourverysimilarexpertassessmentsofthequalityof
policiesandinstitutionsproducedbytheAfricanDevelopmentBank(CountryPolicyandInstitutional
Assessment),AsianDevelopmentBank(CountryPerformanceAssessment),WorldBank(CountryPolicyandInstitutionalAssessment),andtheInternationalFundforAgricultureandDevelopment(RuralSectorPerformanceAssessment).Theseassessmentsallcoverasimilarsetoftopicsrelatingtopolicyand
institutionalperformanceandarescoredbystaffoftheseorganizations,oftenlocatedinthecountriestheyassess,usingastructuredmethodologyandclearscoringbenchmarks.Allfourorganizationsuse
6SeeKraayandMurrell(2016)foradiscussionofrespondentreticenceandwaystomeasureit.
7Forexample,wedonotusedatafromtheTransparencyInternationalCorruptionPerceptionsIndexbecauseit
simplyisacompilationofexistingdatasources,inthesamewaythattheWGIare.Inaddition,wehaveovertimedroppedspecificquestionsandspecificdatasourcesfromtheWGIwhentheirmethodologieshavechangedtorelyexplicitlyonotherdatasources.ThisincludesselecteddimensionsoftheHeritageFoundation’sIndexofEconomicFreedom,aswellastheEuropeanBankforReconstructionandDevelopmentTransitionIndex.
8
theseassessmentstoallocateconcessionalresourcesacrosscountries.8Thiscategoryalsoincludestwodiscontinueddatasources,fromtheEuropeanBankforReconstructionandDevelopment,andthe
Frenchinternationaldevelopmentagency.Finally,twodatasourcesinthiscategoryarebasedondatareportedbytheUSDepartmentofState,onhumantrafficking(TraffickinginPersonsReport)andonhumanrightsviolations(ascodedbyacademicresearchersintheCingranelli-RichardsHumanRightsDataandthePoliticalTerrorScale).
Finally,fourWGIdatasourcescomefromcommercialbusinessinformationproviders.Threeof
themarelong-runningdataproductsprovidingsubscription-basedquantitativeratingsofabroadrangeofbusinessenvironmentandpoliticalrisks,producedbytheEconomistIntelligenceUnit(Country
Viewswire),PoliticalRiskServices(InternationalCountryRiskGuide)andS&PGlobal(CountryRisk
Service).ThefourthisCrisis24,aspecializedsecurityriskfirm,whichprovidesquantitativemeasuresofsecurityrisksfacingbusinesstravelersthatfeedsintothePoliticalInstabilityandAbsenceof
Violence/TerrorismmeasureintheWGI.Allfourorganizationsrelyonaglobalnetworkofexpertswhoprovidescoresfollowingastandardizedmethodologysubjecttocentralizedinternalreviewwithintheorganization.
ThesourcedatausedtoconstructtheWGIispubliclyavailableat
.
9Thedataareavailableintheiroriginalformasretrievedfromtheoriginalproviders.Wealsoreportthedatarescaledandreoriented(ifnecessary)torunfromzerotoonewithhighervaluescorrespondingtobettergovernanceoutcomes,usingtheminimumandmaximumpossiblescoresoneachvariabletodothis
rescaling.Therescaleddataiscomparablewithinagivendatasourceovertimeandacrosscountries.However,itisnotnecessarilycomparableacrossdifferentdatasources,becausedifferentdatasourcescoverdifferentsetsofcountrieswithdifferentunderlyingdistributionsofgovernance.Forexample,ascoreof6outof10mightmeansomethingdifferentinadatasourcethatcoversonlyadvanced
8Inaddition,theWorldBankandtheInternationalMonetaryFundusetheCountryPolicyandInstitutional
AssessmentdataasakeyindicatorintheirLow-IncomeCountryDebtSustainabilityFramework(LIC-DSF),
recognizingthatthereisastrongempiricalrelationshipbetweeninstitutionalqualityandtheriskofdebtservicingdifficulties(seeIMF(2017)).Inthesamevein,theInternationalMonetaryFundusescomponentsoftheWGIaskeymeasuresofinstitutionalqualityinitsDebtSustainabilityFrameworkforMarket-AccessCountriesbecause
theiranalysisshowsthattheWGIhasstatisticalpredictivepowerfordebtservicingdifficulties(seeIMF(2021)).
9Forasmallnumberofdatasourcesthatar
温馨提示
- 1. 本站所有资源如无特殊说明,都需要本地电脑安装OFFICE2007和PDF阅读器。图纸软件为CAD,CAXA,PROE,UG,SolidWorks等.压缩文件请下载最新的WinRAR软件解压。
- 2. 本站的文档不包含任何第三方提供的附件图纸等,如果需要附件,请联系上传者。文件的所有权益归上传用户所有。
- 3. 本站RAR压缩包中若带图纸,网页内容里面会有图纸预览,若没有图纸预览就没有图纸。
- 4. 未经权益所有人同意不得将文件中的内容挪作商业或盈利用途。
- 5. 人人文库网仅提供信息存储空间,仅对用户上传内容的表现方式做保护处理,对用户上传分享的文档内容本身不做任何修改或编辑,并不能对任何下载内容负责。
- 6. 下载文件中如有侵权或不适当内容,请与我们联系,我们立即纠正。
- 7. 本站不保证下载资源的准确性、安全性和完整性, 同时也不承担用户因使用这些下载资源对自己和他人造成任何形式的伤害或损失。
最新文档
- 2025至2030年中国红外线燃烧器数据监测研究报告
- 2025至2030年中国天然珍珠柔和卸妆露数据监测研究报告
- 2025至2030年中国双耳健康节能复合铁锅数据监测研究报告
- 2025年中国钙生化试剂市场调查研究报告
- 2025至2031年中国电脑储存全锁频道发生器行业投资前景及策略咨询研究报告
- 从评价附加语看英语的主客分离特质和汉语的主客融合特质
- 二零二五年度医疗器械出口合同执行与质量监管协议3篇
- 年薪制劳动合同2025版:高科技企业人才激励范本4篇
- 专用会议接待:2024酒店住宿与餐饮服务合同2
- 二零二五年度出轨男方离婚财产分割及子女未来职业规划合同4篇
- 江苏省苏州市2024-2025学年高三上学期1月期末生物试题(有答案)
- 销售与销售目标管理制度
- 人教版(2025新版)七年级下册英语:寒假课内预习重点知识默写练习
- 2024年食品行业员工劳动合同标准文本
- 2025年第一次工地开工会议主要议程开工大吉模板
- 全屋整装售后保修合同模板
- 高中生物学科学推理能力测试
- GB/T 44423-2024近红外脑功能康复评估设备通用要求
- 2024-2030年中国减肥行业市场发展分析及发展趋势与投资研究报告
- 运动技能学习
- 单侧双通道内镜下腰椎间盘摘除术手术护理配合1
评论
0/150
提交评论