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PolicyResearchWorkingPaper11267
RiggingtheScores
CorruptionthroughScoringRuleManipulationinPublicProcurementAuctions
QianmiaoChen
WORLDBANKGROUP
DevelopmentEconomics
DevelopmentImpactGroupDecember2025
Averifiedreproducibilitypackageforthispaperisavailableat
,click
here
fordirectaccess.
ProducedbytheResearchSupportTeam
PolicyResearchWorkingPaper11267
Abstract
Publicprocurementishighlysusceptibletocorruption,especiallyindevelopingcountries.Althoughopenauc–tionsarewidelyadoptedtocurbit,thispaperfindsthatcorruptionremainsprevalentevenwithinthisprocurementformat.Procurementofficerscancollaboratewithfirmstomanipulatescoringrules,ensuringpredeterminedwinners,whilecorruptfirmssubmitnoncompetitivebidstomeetminimumbidderrequirements.UsingextensivedatafromChinesepublicprocurementauctions,thepaperintroducesmodel–drivenstatisticaltoolstodetectsuchcorruption,identifyingacorruptionrateof65percent.Aprocurementexpertauditsurveyconfirmsthetools’reliability,witha91
percentprobabilitythatexpertsrecognizesuspiciousscoringruleswhenflagged.Firm–levelanalysisrevealsthatlocal,state–owned,andlessproductivefirmsarefavoredincor–ruptauctions.Lastly,thepaperexplorespolicyimplications.Analysisofthenationalanti–corruptioncampaignsince2012suggeststhatgeneralinvestigationsmaybeinsuffi–cienttoaddressdeeplyingrainedcorruptpractices.Usingcounterfactualsbasedonanestimatedstructuralmodel,thepapershowsthatimplementinganonymouscall–for–ten–derevaluationscouldimprovesocialwelfareby10percentbyeliminatingsuspiciousrulesandencouragingbroaderparticipation.
ThispaperisaproductoftheDevelopmentImpactGroup,DevelopmentEconomics.ItispartofalargereffortbytheWorldBanktoprovideopenaccesstoitsresearchandmakeacontributiontodevelopmentpolicydiscussionsaroundtheworld.PolicyResearchWorkingPapersarealsopostedontheWebat
/prwp.Theauthor
maybecontactedatqianmiao@.Averifiedreproducibilitypackageforthispaperisavailableat
http://
,click
here
fordirectaccess.
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ThePolicyResearchWorkingPaperSeriesdisseminatesthefindingsofworkinprogresstoencouragetheexchangeofideasaboutdevelopmentissues.Anobjectiveoftheseriesistogetthefindingsoutquickly,evenifthepresentationsarelessthanfullypolished.Thepaperscarrythenamesoftheauthorsandshouldbecitedaccordingly.Thefindings,interpretations,andconclusionsexpressedinthispaperareentirelythoseoftheauthors.TheydonotnecessarilyrepresenttheviewsoftheInternationalBankforReconstructionandDevelopment/WorldBankanditsaffiliatedorganizations,orthoseoftheExecutiveDirectorsoftheWorldBankorthegovernmentstheyrepresent.
RiggingtheScores:CorruptionthroughScoringRuleManipulationinPublicProcurementAuctions
QianmiaoChen(Michelle)*
AuthorizedfordistributionbyAriannaLegovini,Director,DevelopmentImpactGroup,DevelopmentEconomics,
WorldBankGroup
Keywords:PublicProcurement,OpenScoringAuction,Corruption JELclassification:H57,D73,D44,L44
*ResearchEconomist,WorldBankDECDI.Email:qianmiao@
tIwouldliketothankMarcoGonzalez-Navarro,SteveTadelis,KeiKawai,andFredFinanfortheiradvice,guidance,andsupport.IalsothankBettySadoulet,CailinSlattery,DanielRogger,EdwardMiguel,EthanLigon,FrancescoTrebbi,JedSilver,JoelFerguson,JuanOrtner,KarlSchurter,KirillBorusyak,ThiagoScot,andGuoXu,aswellasnumerousseminarparticipantsatNEUDC,DevPEC,IIOC,andConferenceonAuctionsandFirms.ZanSong,YuningXue,andTiffanyLiuprovidedexcellentresearchassistance.
‡Thepreviousversionwascirculatedunderthetitle“CorruptioninPublicProcurementAuctions:Evi-dencefromCollusionbetweenOfficersandFirms”.
§Thefindings,interpretations,andconclusionsexpressedinthispaperareentirelythoseoftheauthors.TheydonotnecessarilyrepresenttheviewsoftheWorldBankanditsaffiliatedorganizations,orthoseoftheExecutiveDirectorsoftheWorldBankorthegovernmentstheyrepresent.
1
1Introduction
Corruptionisapervasiveissuethatunderminesgovernmentsworldwide,distortingmarkets,stallingeconomicgrowth,anderodingpublictrust.Publicprocurementisespeciallyvulner-able,withbribesinthissectoraccountingforasignificantshareoftotalcorruption(
OECD
,
2016
).Corruptioninprocurementinvolvesillicitpracticestomanipulatecontractawardsforgoods,services,andworks,resultingininflatedcostsandplacingundueburdensontax-payersandbusinesses.Thischallengeisparticularlyacuteindevelopingcountries,whereweakinstitutionalframeworksandinadequateaccountabilityexacerbatetheproblem.
Inresponsetothesechallenges,manycountrieshaveadoptedopentenderingsystems,followingtheUNCITRALModelLawonPublicProcurement,
1
withopenscoringauctionsbeingoneofthemostprevalentmethods.Intheseauctions,firmssubmitconfidentialbidsassessedonqualityandprice,withcontractsawardedbasedonthehighestcombinedscores.
2
Topromotefaircompetition,aminimumnumberofbidders,oftenthree,istypicallyman-dated,asinChina.
3
However,despitethetransparencyandcompetitiveintentofopenscoringauctions,theireffectivenessincurbingcorruptioniscontested.PersonalinterviewswithChineseprocurementofficialsindicatethatcorruptionpersiststhroughthemanipula-tionofscoringrulestofavorpredeterminedsuppliers,oftenaccompaniedby“zombie”bidsthatcreateafacadeofcompetition.Existingauditingandcomplaintsystemsarefrequentlyineffectiveindetectingthesemanipulations.
4
Thispaperinvestigatestwokeyquestions:(1)Howprevalentisscoringrulemanipu-lationcorruptioninopenscoringauctionswithintheChinesepublicprocurementsystem?
(2)Whatpoliciescaneffectivelyreducecorruptionanditsassociateddistortions?Toex-plorethesequestions,IcompiledanovelandcomprehensivedatasetonpublicprocurementauctionsfromoneprovinceinChina,coveringallbiddingfirmprofilesandtheiroutcomes.Spanningtheperiodfrom2006to2021,thisdatasetincludesover300,000procurementprojectsandrepresentsthefirstcomprehensiveanalysisofdetailedpublicprocurementdatawithintheChinesecontext.Itisfurtherenrichedwithadministrativefirmdataandinfor-mationfromcorruptioninvestigations.
Toanswerthefirstquestion(1),Ibeginbydocumentingtwomotivatingstylizedfactsinscoringauctionpublicprocurementdata.First,inovertwo-thirdsofprocurementcases,thereareonlythreebidders—theminimumrequiredforanauctiontobedeemed
1UnitedNationsCommissiononInternationalTradeLaw(
UNCITRAL
,
2014
).
2Mostcountrieswithmodernpublicprocurementsystemsadoptopenscoringauctionsforopentendering.
3Indiarequiresthreebiddersforlimitedtenders,whileSerbiamandatesfive.
4Detectionischallengingbecauseeachprocurementstepadherestoformalregulations,suchasselectingopencompetitionandmeetingbidthresholds.Thelowcomplaintrateisalsoinfluencedbyfirms’reluctancetochallengecorruptionduetofearsofretaliationortheneedtomaintainpositiverelationswithlocalgovernments.
2
valid—highlightingalackofrobustcompetition.Second,thereareunusuallylargescoregapsbetweenwinningandlosingbids,particularlyinauctionswithonlythreebidders.Inthesecases,winningbidsoftenstandalone,withnoclosecompetitivelosingbidstosuggestgenuinerivalry.
Buildingontheseobservations,Iproposetoolstoidentifycorruptionmorepreciselythroughscoringrulemanipulationinthestandardscoringauctionmodel.Buildingontheworkof
Che
(
1993
),
AskerandCantillon
(
2008
),and
Hanazanoetal.
(
2020
),Iconstructameasurecalled“pseudotype,”representingthehighestscoresbidderscanachievewhilemaintainingnonnegativeprofits.Ithendemonstratehowscoringrulecustomizationcancreatebiddingpatternsinconsistentwithcompetitivebehavior.Underthenullhypothesisofacompetitiveprocurementauction,thewinningscoreshouldcloselyalignwiththeexpectedpseudotypeofthestrongestrivals.Ifthewinningscoresignificantlyexceedstheexpectedstrongestrivals’pseudotypes,thewinnerhasleftasubstantialamountofpotentialprofituntouched.Attheauctiongrouplevel,Iuseanonparametricmaximumlikelihoodestimationtoestimatetheproportionofcorruptionbycomparingthemeanofthewinningscoreswiththemeanofthepseudotypeofthestrongestrivals.Attheindividualauctionlevel,Icomparethepseudotypesoflosingbidderswiththeexpectedrivals’pseudotypesgiventhewinningscores.Whenscoringrulemanipulationoccurs,amarkeddiscrepancyemerges,resultinginanunusuallylowaverageoflosers’pseudotypesandrejectionofthenullhypothesis.Resultsfromthetwodetectionmethodscloselyalign,particularlyincaseswiththreebidders,indicatingthatthenullhypothesisofnocorruptioninscoringrulemanipulationisrejectedinover65%ofauctions,revealingevidenceofscoringrulecustomization,favoritism,andcoordinatednon-competitivebids.
Tofurthervalidatemytest,Iconductedaprocurementexpertauditstudy.Publicpro-curementofficialsacknowledgedtheexistenceofsignificantopportunitiesformanipulationinthebiddingprocess(
GongandZhou
,
2015
).However,detectingirregularitiescanbechal-lengingforthepublicwithoutthenecessaryexpertisetoverifythecriteria.Toaddressthisissue,Iengagedfiveprocurementexpertsfromtheprovince’sbidevaluationexpertpool,selectedfortheiractiveinvolvementinbidevaluationmeetingsanddeepindustryandfirmknowledge.Theyevaluatedarandomsampleof500procurementprojectswithoutknowledgeofthebiddersoroutcomes,identifyingsignsofcriteriacustomizationandassessingthelevelofcompetition.Thesurveyresultswerecomparedtothepredictionsmadebymymodel,resultinginhighdegreesofcongruence.
5
Whenmymodelpredictedapotentiallycorruptauction,therewasa91%chancethatprocurementexpertshighlightedsignsofscoringrulecustomization,demonstratingthemodel’seffectivenessindetectingsuspiciouspatterns.
5Definedastheconcordancebetweencorruptiontestoutcomesandtheidentificationofsuspiciouscall-for-tenderfilesbyexperts,theaccuracyratemeasuresthepercentageofcasesforwhichbothexpertsandmodelpredictionscorrectlyclassifythemascorruptornotcorrupt.Thisaccuracyratestandsat81%.
3
Tospeaktothesecondquestion(2),thecorruptiontestresultsobtainedfromthepreviousstepwerelinkedtofirmandanti-corruptioncampaigndata,enablingamorecom-prehensiveunderstandingofscoringrulemanipulationcorruptionanditspolicyimplications.First,Iexplorethedisparitiesbetweenwinnersincompetitiveandpotentiallycorruptsce-narios,revealingthatwinnersimplicatedinsuspectedcasesexhibitcharacteristicssuchaslowerproductivity,strongertiestostate-ownedentities,andcloserproximitytothelocalprocurementgovernment.Subsequently,Iutilizecorruptioninvestigationdatatoanalyzetheimpactofanti-corruptioncampaigninvestigationsonprocurementoutcomes.Ifindthatinvestigationspromptheightenedcompetitionandreducecorruptionintheshortterm,butfailtoyieldasustained,long-termreductionincorruptactivities.Notably,thisfindingispredominantlydrivenbyinvestigationsdirectedathigh-levelofficials.
Lastly,Ienhancethescoringauctionmodelbyincorporatingsemi-parametricestimatesoffirmcostfunctionstoconductcounterfactualpolicyanalyses.Iexaminetwodifferentcounterfactualscenariostostudytheimpactofvariouspolicychangesonprocurementout-comes.First,Iassesshowpre-determinedwinnerswouldbidifanonymouslyselectedexpertsweretaskedwithreviewingcall-for-tenderfilespriortoauctioncommencements.Iftheseexpertsidentifyanyunnecessaryrules,scoringruleswillberevisedaccordingly.Theelim-inationofsuchunnecessaryrulesleadstoan18%decreaseinthewinningpriceanda3%increaseinquality.Collectively,thistranslatestoan11%increaseinsocialwelfaremea-suredbyscorechange.Ofthesewelfaregains,70%arisefromcompetitivebiddingandtheremaining30%stemfromincreasedentries.Second,consideringthatcorruptofficialsoftenattempttoassignlowerweightstotransparentfactorslikepriceandhigherweightstoqualityinordertomanipulateoutcomes,Iinvestigatetheconsequencesofincreasingtheevaluationweightsonthepricecomponent.
Thispapercontributestoseveralstrandsofliterature.First,itcontributestothesmallbutgrowingbodyofresearchondetectingcorruptioninpublicprocurementbyintroducingnovelmethodsfordetectingcorruptioninscoringauctions,oneofthemostwidelyusedprocurementmethodsglobally.Bylinkingdetailedbiddingoutcomeswithrichfirmdata,itexplorespolicyimplications,offeringacomprehensiveapproachtounderstandingprocure-mentcorruption.Methodologically,thepaperemploysadvancedstatisticaltechniquesandintegratesaninnovativeexpertauditsurvey,providingrobustvalidationanddeeperinsights.Existingstudiesinthisfieldhavemeasuredcorruptioninprocurementauctionsthroughdirectindicatorssuchaspricesignaling(
Cai,Henderson,andZhang
,
2013
),bidleakage(
AndreyanovandKorovkin
,
2017
),andexaggeratedbids(
Huang
,
2019
).Otherresearchhastakenanindirectapproachbyexaminingprocurementthresholdsthatrequirepublicdisclo-sure(
CovielloandMariniello
,
2014
),theadoptionofopenauctions(
PalgutaandPertold
,
4
2017
;
Coviello,Guglielmo,andSpagnolo
,
2018
;
Baltrunaiteetal.
,
2021
;
Szucs
,
2024
),
6
andauditsthatrevealbunchingbehavioraimedatavoidingcompetition(
Gerardino,Litschig,
andPomeranz
,
2024
).Additionally,severalstudiesfocusonfavoritismtowardpoliticallyconnectedfirmsinprocurementawards(
Cao
,
2022
;
Baltrunaite
,
2020
;
Baltrunaiteetal.
,
2021
;
ColonnelliandPrem
,
2021
;
Brugu´es,Brugu´es,andGiambra
,
2024
).Thisstudydistin-guishesitselfbyfocusingoncorruptionmechanismswithinscoringrules,movingbeyondtheconventionalbinarydistinctionbetweenopenandnon-openauctionsanduncoveringsubtlerformsofmanipulationthatdonotnecessarilyinvolveovertpoliticalconnectionsoroutrightviolationsofpublicprocurementlaws.
Second,thisstudycontributestotheliteratureontheeffectsofanti-corruptioninvestiga-tionsandauditsinreducingcorruptionbylinkingcorruptiondetectionwithanti-corruptioncampaignsandhighlightingtheineffectivenessofthesecampaigns.Existingresearchsug-geststhatanti-corruptioninvestigationsandauditscandecreasecorruption(
Avis,Ferraz,
andFinan
,
2018
),increasegovernmentrevenue(
ChenandKung
,
2019
),reduceexpenditure(
Olken
,
2007
;
Lichand,Lopes,andMedeiros
,
2016
;
ZamboniandLitschig
,
2018
),improvefirmperformance(
ColonnelliandPrem
,
2021
),andenhanceelectoralaccountability(
Fer-
razandFinan
,
2011
).However,somestudiesfindthatauditsarenotalwayseffectiveinreducingcorruptionandmayevenhaveadverseeffectsduetopoortargeting(
Dufloetal.
,
2018
),inadequatedesign(
Gerardino,Litschig,andPomeranz
,
2024
),ordistortedincentives(
Khan,Khwaja,andOlken
,
2016
;
LichandandFernandes
,
2019
).Thispaperdemonstratesthat,withoutchangestoprocurementpolicies,investigationsfailtoproducelastingeffects.Additionally,Idesignatargetedauditstudytoshowhowimprovedauditdesignscanhelpreducecorruptionandenhanceprocurementoutcomes.
Third,thisresearchcontributestotheexistingliteratureonscoringauctionsbyinte-gratingcorruptpracticesintotheauctionmodel,leveragingrichandnovelpublicprocure-mentdata,andproposingempiricalmethodstodetectcorruptionusingreal-worlddata.Foundationalworkby
Che
(
1993
)analyzedvarioustypesofscoringauctionsandidentifiedoptimalscoringrules,whilesubsequentstudieslike
AskerandCantillon
(
2008
)and
Chen-
Ritzoetal.
(
2005
)showedthatscoringauctionscanyieldhigherpayoffsforbuyerscomparedtominimum-qualityorprice-onlyauctions.Morerecentresearchby
Hanazonoetal.
(
2013
),
Takahashi
(
2018
),
Andreyanov
(
2018
),and
Hanazanoetal.
(
2020
)hasfurtherexaminedequilibriumandmechanismdesigninscoringauctions,enhancingtheunderstandingofthisauctionformat.Additionally,studiessuchas
Bajari,Houghton,andTadelis
(
2014
),
Ryan
(
2020
),and
Kong,Perrigne,andVuong
(
2022
)haveextendedthescoringauctionmodeltoincludecontractdesigninpublicprocurement.Buildingonthisbodyofwork,myre-
6Alackoftransparencyinprocurementprocessesoftensignalspotentialcorruption,whereasopenandtransparentprocessesarepresumedtomitigatecorruptpractices.Studieshaveshownthatcorruptionisfrequentlyassociatedwithnon-openprocurementprocesses.
5
searchlinkstheoreticalinsightswithempiricalevidence,uncoveringpatternsofcorruptionwithinscoringauctionsandofferingpolicyimplicationsforreducingcorruptioninpublicprocurement.
Lastly,thisstudycontributestotheliteratureoncollusiondetectioninauctionsandmarkets,specificallythedetectionofnon-competitiveagreementsamongtwoormorebid-ders.
7
However,corruptionoriginatingfromtheauctioneeroragencysidehasreceivedcomparativelylessattention,despitebeingasignificantissueinmanydevelopingcountrieswherepublicprocurementlawsarepoorlyenforced.Mystudytakesanovelapproachbyallowingforbothcorruptionandcollusionandinvestigatingtheirrelationshipwithinthecontextofpublicprocurementinadevelopingcountry.Asaresult,thisresearchnotonlyintroducesadata-drivenmethodfordetectingcorruptionbutalsoexaminesthedistortionsandpolicyimplicationsarisingfromsuchpractices.
Theremainderofthepaperisorganizedasfollows.InSection2,Iofferbackgroundin-formationonthescoringauctionprocedureandChina’spublicprocurementsystem.Section3describesthedatasetusedfortheanalysis.Movingforward,Section4presentskeystyl-izedfactsthatmotivatetheinvestigation.InSection5,atheoreticalmodelisconstructed,layingthefoundationfortheempiricaltestconductedinSection6.Tofurthervalidatetheproposedapproach,Section7presentsthedesignandresultsoftheexpertsurvey.Section8delvesintoadiscussionoftheimplicationsofcorruptioninpublicprocurementbyexploringtheimpactofanti-corruptioninvestigationpolicies,andconductingcounterfactualanaly-sesthroughthestructuralmodeltoevaluatedifferentpolicyscenarios.Finally,Section9providesconcludingremarks,summarizingthefindingsandtheirimplications.
2Background
2.1PublicProcurementinChina
PublicprocurementprojectsinChinaaredefinedbasedontheuseofpublicfundsandtheiralignmentwithlegalrequirements.AccordingtoArticle2oftheGovernmentProcurementLawofthePeople’sRepublicofChina,governmentprocurementinvolvestheacquisitionofgoods,services,andprojectsbystateagencies,publicinstitutions,andorga-nizationsusingfiscalfunds.Theseprocurementsmustadheretocentralizedprocurementcatalogsorexceedspecifiedfinancialthresholds.Onlyprojectsmeetingthesecriteriaaresubjecttogovernmentprocurementregulations,whichmayincludelistingontheChina
7See
Porter
(
2005
)foraliteraturereviewoncollusioninauctions.Morerecentpapersinclude
Conley
andDecarolis
(
2016
);
Schurter
(
2017
);
Chassangetal.
(
2022
);
KawaiandNakabayashi
(
2022
);
Kawaietal.
(
2023
);
Kawai,Nakabayashi,andShimamoto
(
2022
).
6
GovernmentProcurementCatalog.
8
Incontrast,non-governmentprocurementprojectsrefertothosethatdonotusefis-calfunds,fallbelowthefinancialthresholds,orareoutsidethecentralizedprocurementcatalogs,thusexemptfromgovernmentprocurementrules.Consequently,mostlarge-scaleinfrastructureprojects,suchashigh-speedrailwayconstruction,arenotincludedinpub-licprocurement.Theseprojectsareoftenledbystate-ownedenterprisesliketheNationalRailwayandHighwayGroupsandarefundedthroughacombinationoflocalfinancingornon-publicfunds.
9
Thisdistinctionunderscorestheseparationbetweenpublic-fundedpro-curementandalternativefinancingmechanismsforinfrastructuredevelopment.
Figure1:PublicProcurementProcedure
Notes:ThestandardsforprocurementchoicesareguidedbytheRegulationsfortheImplementationof
theGovernmentProcurementLawofthePeople’sRepublicofChina.
Therearenon-openauctionmethods,suchasnegotiations,first-pricebiddingononlineplatforms,andpricesolicitations.
PublicprocurementinChinatypicallyprogressesthroughthreedistinctphases:pre-procurement,procurement,andpost-procurement.Inthepre-procurementphase,theprocur-ingentity,oftenagovernmentdepartmentorstate-ownedenterprise,identifiesitsneedsanddraftsadetailedprocurementplan.Thisstageinvolvesassessingprojectfeasibilityanddefiningtherequiredgoods,services,orconstruction.
Oncetherequirementsareestablished,theprocuringentityfinalizesaprocurementplanthatoutlineskeydetailssuchasprojectscope,selectedprocurementmethod,budget
8ProcurementbytheDepartmentofDefenseisnotincludedinthepublicprocurementsysteminChina,asithasanindependentprocurementsystemandregulations.
9Forinstance,theNoticeonStrictlyProhibitingIllegalFinancingbyLocalGovernmentsintheNameofGovernmentServiceProcurement(MinistryofFinance[2017]No.87)explicitlyexcludesinfrastructureprojectsinsectorssuchasrailways,highways,airports,telecommunications,utilities(water,electricity,andgas),education,science,healthcare,culture,sports,landdevelopment,andagriculturalwaterconservancyfrombeingcategorizedasgovernmentserviceprocurement.
7
allocation,timeline,andcriteriaforsupplierselection.Thisplanisthensubmittedforreviewandapprovalbyrelevantoversightagencies,suchastheAuditBureauandtheBureauofFinance,ensuringcompliancewithregulatorystandardsandproperuseoffiscalfunds.
Specificcriteriaguidethechoiceofaprocurementmethod,asshowninFigure
1
.Whendealingwithuniquelyqualifiedsuppliersorunforeseenemergencies,single-sourceprocure-ment,alsoknownasdirectcontracting,becomesaviableoption.Thismethodisalsousedwhenitiscrucialtomaintainprojectconsistencyoralignwithexistingservices.Inothercases,thechoiceofprocurementmethoddependsontheprocurementbudget.Toensuretransparency,projectsexceedingacertainthresholdarerequiredtousethestandardopen-scoringauctionmethod.
10
Projectsbelowthisthresholdhaveseveraloptions,includinginvited-onlyauctions,onlinefirst-priceauctions,anddirectpriceinquiries.However,evenforsmaller-scaleprocurement,thereisapreferenceforopen-scoringauctionsduetothein-creasedscrutinyandauditassociatedwithnon-openmethods.Variousstudies(
Calvo,Cui,
andSerpa
,
2019
;
Decarolisetal.
,
2020
)havefoundthatpublicprocurementusingnon-openmethodsoftenleadstohighercostsandgreatersusceptibilitytocorruption.Inthispaper,Ispecificallyfocusontheopen-scoringauctionmethodhighlightedinFigure
1
.
Uponapprovaloftheplan,theprocuringentitymustpublicizeprocurementinformationonnationalandlocalprocurementwebsites.Thisinformationincludesprojectdetails,thechosenprocurementmethod,budgetallocation,timeline,andscoringcriteria.Accordingtoregulations,anopenauctionrequiresatleastthreequalifiedbidderstobeconsideredvalid.Ifanopenauctionendswithonlytwoqualifiedbidders,expertsmustdecidewhethertoadjustthecall-for-tenderdocumentsandrestarttheauctionorswitchtonon-openmethods.Ifonlyonebidderparticipatesintheopenauction,theprocuringentitymayoptforsingle-sourceprocurement,providedthatexpertsconfirmthecall-for-tenderdocumentsarefairandcompliantwithcompetitionregulations.
Becauseofthecomplexityofpublicprocurement,corruptionwithintherealmofpublicprocurementhasremainedalongstandingconcern.Inthecontextofopen-scoringauctions,acomplexnetworkofactorsisinvolved,asshowninFigure
A1
.Thisnetworkinvolvesvariousroles,suchascityorcountyleaders,directors,andtheirsubordinateswithingovernmentdepartmentsresponsibleforprocurementrequests(e.g.,education,transportation,health),theprocurementagenciesoverseeingbidconferences,andthepublicprocurementexpertstaskedwithbidevaluation.
10ThethresholdsforopenscoringauctionsinpublicprocurementvaryacrossdifferentprovincesinChina.Intheprovinceunderstudy,asignificantchangeoccurredin2020,settingthebenchmarkforpublicbiddingongovernmentprocurementofgoodsorservicesat4millionyuanacrosstheprovince.Similarly,thethresholdforpublicbiddinginconstructionprojectsadherestobothnationalandprovincialregulations.Thesethresholdshavebeenrevisedseveraltimessince2007.
8
2.2ScoringAuctionProcedureandCorruption
Inadditiontothegeneralpublicprocurementprocedures,adetailedoutlineoftheopen-scoringauctionprocessispresentedinFigure
2
.Oncetheprocurementrequ
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