Evidence-based policy making in the tropics: are developing...

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Evidence-based policy making in the tropics: are developing countries different? Stephen Howes, Ashlee Betteridge, Lawrence Sause and Lhawang Ugyel Abstract Evidence-based policy making has been advocated as much, if not more, for developing as developed countries. However, very little attention has been given to the conditions or prerequisites for evidence-based policy making, and whether these are in general more or less likely to hold in developing countries. We argue that an environment conducive to evidence-based policy making is one in which there are strong incentives for good policies to be adopted, capable institutions to implement them, a wide range of domains within which good policy can be adopted, and a ready supply of well-developed policy proposals. Based on the development literature, our own experience, and the comparison of two countries, Australia and Papua New Guinea, we conclude that these conditions are all more likely to exist in developed than developing countries. Developing countries on the other hand have the advantage of foreign aid. Much foreign aid is dedicated to the purpose of facilitating evidence-based policy making. But we argue that at best this is a partial compensation for the other problems faced by developing countries in striving to base their policies more firmly on sound evidence. While this paper is not a counsel for despair, it is a call for realism. Strengthening institutions or the structure of the economy are long-term endeavours. But the dearth of funding for research and teaching is a constraint that can more readily be lifted, especially with support from donors. Development Policy Centre Discussion Paper 59 July 2017 SERIES ISSN 2206-303X

Transcript of Evidence-based policy making in the tropics: are developing...

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Evidence-basedpolicymakinginthe

tropics:aredevelopingcountries

different?

StephenHowes,AshleeBetteridge,

LawrenceSauseandLhawangUgyel

Abstract

Evidence-basedpolicymakinghasbeenadvocatedasmuch,ifnotmore,fordevelopingasdevelopedcountries.However,verylittleattentionhasbeengiventotheconditionsorprerequisitesforevidence-basedpolicymaking,andwhethertheseareingeneralmoreorlesslikelytoholdindevelopingcountries.Wearguethatanenvironmentconducivetoevidence-basedpolicymakingisoneinwhichtherearestrongincentivesforgoodpoliciestobeadopted,capableinstitutionstoimplementthem,awiderangeofdomainswithinwhichgoodpolicycanbeadopted,andareadysupplyofwell-developedpolicyproposals.Basedonthedevelopmentliterature,ourownexperience,andthecomparisonoftwocountries,AustraliaandPapuaNewGuinea,weconcludethattheseconditionsareallmorelikelytoexistindevelopedthandevelopingcountries.Developingcountriesontheotherhandhavetheadvantageofforeignaid.Muchforeignaidisdedicatedtothepurposeoffacilitatingevidence-basedpolicymaking.Butwearguethatatbestthisisapartialcompensationfortheotherproblemsfacedbydevelopingcountriesinstrivingtobasetheirpoliciesmorefirmlyonsoundevidence.Whilethispaperisnotacounselfordespair,itisacallforrealism.Strengtheninginstitutionsorthestructureoftheeconomyarelong-termendeavours.Butthedearthoffundingforresearchandteachingisaconstraintthatcanmorereadilybelifted,especiallywithsupportfromdonors.

DevelopmentPolicyCentreDiscussionPaper59

July2017

SERIESISSN2206-303X

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Evidence-basedpolicymakinginthetropics:are

developingcountriesdifferent?

StephenHowes

AshleeBetteridge

LawrenceSause

LhawangUgyel

ProfessorStephenHowesistheDirectorandAshleeBetteridgeisProgram

ManageroftheDevelopmentPolicyCentre,CrawfordSchoolofPublicPolicy,

AustralianNationalUniversity.DrLawrenceSauseisaSeniorLecturerandDr

LhawangUgyelisaVisitingLecturerinthePublicPolicyDivisionintheSchoolof

BusinessandPublicPolicy,UniversityofPapuaNewGuinea.1

Howes,S,Betteridge,A,Sause,L&Ugyel,L2017“Evidence-basedpolicy

makinginthetropics:aredevelopingcountriesdifferent?”Development

PolicyCentreDiscussionPaper#59,CrawfordSchoolofPublicPolicy,The

AustralianNationalUniversity,Canberra.

TheDevelopmentPolicyCentreisaresearchunitattheCrawfordSchoolof

PublicPolicy,TheAustralianNationalUniversity.Thediscussionpaperseriesis

intendedtofacilitateacademicandpolicydiscussion.Useanddisseminationof

thisdiscussionpaperisencouraged;however,reproducedcopiesmaynotbe

usedforcommercialpurposes.

Theviewsexpressedindiscussionpapersarethoseoftheauthorsandshould

notbeattributedtoanyorganisationwithwhichtheauthorsmightbeaffiliated.

FormoreinformationontheDevelopmentPolicyCentre,visit

http://devpolicy.anu.edu.au

1Emailforcorrespondence:stephen.howes@anu.edu.au.ThispaperiswrittentobeachapterinaforthcomingbookonpublicpolicyeditedbyProfessorRobertBreunigandMarkFabianofCrawfordSchoolofPublicPolicy,ANU.

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Introduction

Evidence-basedpolicymaking,whichthisvolumeseekstopromote,isasimportantfor

poorcountriesasforrichones,perhapsevenmoreso.Butcanevidence-basedpolicy

makingbemadetoworkinpoorcountries?Whatspecialchallengesdosuchcountries

faceinformulatingandimplementingevidence-basedpolicy?

Australia’sProductivityCommissiondefinesevidence-basedpolicymakingas‘aprocess

thattransparentlyusesrigorousandtestedevidenceinthedesign,implementationand

refinementofpolicytomeetdesignatedpolicyobjectives’(ProductivityCommission,

2009).The“theoryofchange”behindevidence-basedpolicyrunssomethinglikeas

follows:policymakingsuffersfromalackofgood,substantiatedproposals;therefore,if

wecanimprovethequantityandqualityofpolicyproposalswewillimprovethequality

ofpolicies.

Thisargumentseemsreasonable,butincomplete.Onecanthinkofnumerous

constraintsontheadoptionofgoodpolicies,ofwhichascarcityofgoodproposalsis

onlyone.Thoseinapositiontomakegoodpolicymaylacktheincentivetodoso.And

evenifthesupplyofproposalsisthebindingconstraint,relaxingthatconstraintmight

bedifficult.Thesearetheissuesweexploreinthispaper.

Intheliterature,evidence-basedpolicymakinghasbeenadvocatedasmuch,ifnot

more,fordevelopingasdevelopedcountries.Amongitschampionshavebeen

multilateralinstitutionssuchastheWorldBank,whichareactiveindeveloping

countries.Aspecialareaoffocushasbeenpolicyevaluation,withthepromotionof

randomizedcontroltrialsasatoolthatcouldbetransformationalfordevelopment

policy(DufloandKremer,2008).

However,verylittleattentionhasbeengiventotheconditionsorprerequisitesfor

evidence-basedpolicymaking,andwhethertheseareingeneralmoreorlesslikelyto

holdindevelopingcountries.Ourattempttoexaminethechallengesfacingevidence-

basedpolicymakingindevelopingcountriesdrawsonthedevelopmentliterature,on

ourownexperience,and,inparticularandforconcreteness,oncomparisonsbetween

AustraliaandPapuaNewGuinea(PNG),twocountriestheauthorscollectivelyknow

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well.Thesetwoneighboursmakeforusefulcomparisonsastheyare,despitetheir

geographicalproximity,verydifferent.Ifwerankallcountriesoftheworldforwhich

dataisavailable,wecanseethatAustraliaisacountryinwhichthemortalityrateis

verylowandincomepercapitaveryhigh.InPNGthissituationisreversed(Figure1).

Putsimplybutaccurately,AustraliaisadevelopedorrichcountryandPNGisa

developingorpoorcountry.

Figure1:InfantmortalityrateandGNIpercapita,AustraliaandPNGcompared

withothernationsoftheworld

Sourcesandnotes:WorldDevelopmentIndicators.Inthisandsubsequentgraphs,PNGisrepresentedbytheredline;

Australiabytheyellowone.

Thetwocountriesarealsoondifferentgrowthtrajectories.PapuaNewGuineaisa

resourcedependenteconomy,and,forsucheconomies,GDPcanbeaparticularly

misleadingindicatorofeconomicwelfare.Abetterindicatorisnon-resourceGDP,that

is,thedomesticoutputofthenon-miningandnon-petroleumsectors.(Theargumentis

thatwhateverbenefitsofminingandpetroleumprojectsarecapturedbyPNGare

reflectedinthenon-resourcesectorthroughspillovereffects,inparticularconstruction

andgovernmentrevenue.)Non-resourceGDPpercapitaisaboutthesametodayinPNG

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asitwasshortlyafterindependence,in1980.Bycontrast,Australia’sGDPpercapitais

almosttwiceashighnowasitwasthen.

Figure2:IncomepercapitainAustraliaandPNG

Sourceandnotes:AustraliandatafromWorldDevelopmentIndicators;PNGdatacompiledbyPaulFlanaganfrom

varioussources.Datainconstant,localcurrencyprices.AustraliandataisGDPpercapitaandPNGdataisnon-resource

GDPpercapita(whichisappropriategiventhelargeshareoftheresourcessectorinthePNGeconomy).

Ofcourse,oneshouldbewaryofgeneralizationsbasedoncomparisonsbetweentwo

countriesoreventwocategoriesofcountries.Developingcountriesdifferfromeach

other,andinmanycasesitisbettertothinkofcountriesasfacingvariousdegreesof

challenge,ratherthaneitherfacingachallengeornot.Nevertheless,wedothink

developingcountriesaredifferent,andthatcarefulscrutinyofthechallengestheyface

whenitcomestoevidence-basedpolicymakingwillpaydividends.

Ourdiscussionandthestructureofourpaperarebasedaroundfourdifferencesrelating

toinstitutions,policyoptions,researchcapacityandforeignaid.

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InstitutionsAsdefinedbyDouglasNorth,institutionsare‘therulesofthegameinasocietyor,more

formally,arethehumanlydevisedconstraintsthatshapehumaninteraction’(North,

1990,p.3).Ingeneral,poorcountrieshaveweakandimmatureinstitutions.Whilewe

wouldsubscribetothenoworthodoxviewthatthequalityofinstitutionsisa,ifnotthe,

criticaldeterminantofeconomicperformance(AcemogluandRobinson,2012),allthat

isneededforthepurposesofthissectionisanacceptanceofthestrongcorrelation

betweenthetwo:richercountriesgenerallyhavebetterinstitutions.

WeillustratethisstylizedfactusingourcomparisonofAustraliaandPNG,and2015

WorldGovernanceIndicatorsdataon‘governmenteffectiveness’.Australiaisrankedin

thetop10percentofcountrieswhenitcomestogovernmenteffectiveness;PNGinthe

bottom30percent.

Figure3:Percentilerankingforgovernmenteffectiveness,AustraliaandPNG

(higherisbetter)

Source:WorldGovernanceIndicators

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Moregenerally,Figure4showsthestrongcross-countrycorrelationbetween

governmenteffectivenessandpercapitaincome.

Figure4:Thecorrelationacrosscountriesbetweengovernmenteffectivenessand

incomepercapita

Sourceandnotes:WorldDevelopmentIndicators.Thereddottedlineisatrendline.Thegovernmenteffectivenessscoreis

apercentileranking.

Thepresenceofweakinstitutionsmakesitlesslikelythatgoodpolicieswillbeadopted,

evenifevidenceisfoundintheirfavour.Thiscanbeunderstoodinpoliticalterms.

Institutionsareanoutcomeofpolitics(AcemogluandRobinson,2012);andinstitutions

arethereforeweakifpoliticalincentivesarenotwell-alignedwiththewelfareofthe

population.Ifthereareonlyweakincentivestoimprovepolicies,thenlittle

improvementwillhappen.2Thebindingconstraintwillnotbealackofsolidevidence,

butalackofwilltotakethatevidenceanditsimplicationsseriously.Forexample,if

2Thisdiscussionraisestheinterestingquestionofthedifferencebetweenpoliciesandinstitutions.Ifinstitutionscoveralltherulesofthegame,thenpoliciesaresimplyasub-setofinstitutions.Butinstitutionsareperhapsmoresensiblythoughtofasthefundamentalrulesofasociety.Policiescanberegardedasrulesthatcanbechangedholdinginstitutionsconstant.Forexample,givingaCentralBankindependenceisaninstitutionalchange.Ifthepolicyrateofinterestischanged–bytheindependentCentralBankoranyotherpartofgovernment–thatisapolicychange.

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politicsareclientelisticandpoliticiansarethusmoreinterestedinprovidingprivate

goodstotheirsupporterratherthanpublicgoodstoallcitizens,thentherewillbelittle

interestinproposalstofocusmoreonpublicgoods,andevenlessonhowtosupply

publicgoodsmoreefficiently.Suchresearch,andtherecommendationsbasedonthem,

mightbeliterallyregardedasmerely“academic”.

Anotherwaytothinkaboutthisproblemisthatweakinstitutionsmanifestthemselves

inlimitedcapacity.Indeed,thisiswhatthegovernmenteffectivenessmetric,graphed

above,triestomeasure.Limitedcapacitymeansthatgovernmentsstruggletoabsorb

goodresearchandimplementpolicy.Ofcourse,thesetwoargumentsconvergesince

limitedcapacityisitselfasymptomofapoliticsthatgiveslittleweighttodevelopment

objectives.Sause(2008)hasinvestigated“thestateofpolicyadvisorycapacity”inPNG’s

centralgovernmentagencies.Hefinds“pervasiveandsystematic”problemswhichlimit

thiscapacity,arisingfrom“avarietyofinterlocking(andofteninterwoven)problems

fromboththepoliticalandtheadministrativeandorganisationaldimensionswithin

whichpolicyadviceisdevelopedanddelivered.”(Sause,2008,Abstract).

Ifinstitutionsaresoimportant,itwouldseemobvioustofocusonimprovingthem.

Indeed,atfirst,itmightseemlikeanadvantagefromareformperspectivetobeina

countrywithweakinstitutionsasitgivesrisetothepossibilityofrapidcatchup.Justas

poorcountriesdon’tneedtodeveloptheirowntechnologyinordertohaveproductivity

growth—theycaninsteadimportthetechnologyfromadvancedeconomies—soit

mightbethoughtthatpoorcountriescanshort-cutthearduousprocessofdeveloping

goodinstitutionsbyimportinginstitutionsfromadvancedeconomies.Shouldnot

researchersthenfocustheireffortsoninstitutionaldesign?Unfortunately,thislineof

argument,whilesuperficiallyconvincing,neglectsthreefactorswhichmake

institutionalimprovementfarmoredifficultthantechnologicalcatch-up.

First,itisdifficulttofindconvincingevidenceinfavourofaparticularinstitutionalset

up.Institutionsthatworkwellinonecountrymightnotworkwellinanother.AsRodrik

haswritten,‘Itiseasiertolistthefunctionsthatgoodinstitutionsperformthatitisto

describetheshapetheyshouldtake’(2008,p.100).Second,itisnotclearwhich

institutionsmakeadifference;thatis,whicharetheonesthatreallyretardprogress.

Forexample,howmuchofadragongrowthiscorruption?Thisisstillnotsomethingon

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whichwehaveaconvincing,clear-cutanswer(compareKhan,2004withCamposetal.,

2016).Asaresult,itisnotclearwhichinstitutionsmostneedtobereformedto

promotedevelopment.Third,asalreadynoted,institutionsaretheoutcomeofpolitical

forces.Domesticpoliticalforcesnormallyonlychangeslowlyor,ifabruptly,not

necessarilyinapositivedirection.

Farfrompoorcountriesbeingabletocatch-upquicklyintermsofinstitutions,

internationalevidencesuggeststhatinmanycountriesitisnoteasytoimprove

institutions,evenifweaknessesareglaring,anditisobviouswhatneedstobedone.

Mostpoorcountriesareinwhatiscalleda‘capabilitytrap’;thatis,theirinstitutions

improveonlyglacially,ifatall(Pritchettet.al2010).Moreover,justbecauseinstitutions

ingeneralimproveonlyslowlydoesnotmeantheydonotchangeatall.Indeed,

institutionsindevelopingcountriescanchangequicklyovertime;justnotnecessarilyin

apositivedirection.

PNGandAustraliaprovideagoodexampleofthisintheareaofdecentralization:the

divisionofpowerbetweenprovincialandlocalgovernments.PNGisdividedintoabout

20provinces.Mostprovinces,exceptforthesmallest,aredividedintotwoormore

districts,foratotalof89districts.PNG’sparliamentismadeupofrepresentativesof

districtsandprovinces.Overtime,notsurprisinglygiventhebalanceofnumbers,power

andfundshaveshiftedfromprovincestodistricts.Inthe2000s,thefocuswason

gettingmorefundstoprovincesthroughprovincialfunctiongrants.Butthisdecade,

therehasbeenamassiveincreaseingrantsandresponsibilitiesdevolvedtothedistrict

level,throughmuchlargerDistrictSupportImprovementProgramgrants.Thisstateof

fluxhasmadeitverydifficulttodevelopaneffectivedecentralizationpolicy.Thepolitics

ofdecentralizationneedtobesettledfirst.Bycontrast,inAustralia,wherelocal

governmentsareunderthecontrolofstategovernments,andarenotalignedwith

electoralboundaries,thedistributionofpowersandfundsbetweenstateandlocal

governmentsiswell-settled.Changesinthisdistributionofdecentralizedpowersin

AustraliawouldbemuchmoredifficulttoachievethaninPNG,but,ontheotherhand,

inAustraliaonehasasolidinstitutionalbaseonwhichrelevantpolicyreformsinvolving

stateandlocalgovernmentscanbeandarepursued.

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Limitedoptions

Theeconomiesofpoorcountriesaredominatedbytheinformalsector.InPNG,less

than10percentoftheworking-agepopulationisengagedintheformalsector.In

Australia,thefigureisabout60percent(Figure5).

Figure5:TheformalsectorparticipationrateinPNGandAustralia

Sourcesandnotes:ADB2014&AIHW2015.Theformalsectorparticipationratedividesthesizeoftheformalsectorby

thesizeoftheworkingagepopulation.PNGdatafrom2009/10,andAustraliandataabout2014.InAustralia,itis

assumedthateveryoneworkingisintheformalsector.

Cross-countrydataontherelativesizeoftheinformalsectorarehardtocomeby,but

wecanusetheruralpopulationasaproxysincetypicallyruralareasaremore

dominatedbyinformalactivitiesthanurbanones(ILO,2015).InFigure6,weseea

close,negativecorrelationbetweenthevariablesofinterest,inthiscaseinformality(as

proxiedbytheruralpopulationshare)andincomepercapita

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60%

70%

PNG Australia

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Figure6:Thecorrelationacrosscountriesbetweentheruralpopulation

share(aproxyforinformality)andincomepercapita

Source:WorldDevelopmentIndicators.

Therelativeprominenceoftheinformalsectormakesevidence-basedpolicymaking

moredifficultindevelopingcountriesforthesimplereasonthatbydefinitionthe

informalsectorislessundergovernmentcontrolorsubjecttogovernmentreach.In

essence,thegreatershareoftheinformalsectorreducestheoptionsopento

government.Iftherearefewerpolicydecisionsthatcanbemade,thescopeforusing

evidenceisaccordinglyreduced.

Thiscanbeillustratedmoreconcretelyinseveralways.First,thegreatersizeofthe

informalsectoristhefundamentalreasondevelopingcountrieshavealowertax/GDP

ratiothandevelopedones.ThisiscertainlythecaseforPNGandAustralia.Theformer

hasarevenue/GDPratioofabout15percent;forthelatteritisnearly30percent

(Figure7).

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Figure7:Revenue/GDPratiosinPNGandAustralia

Source:PNGbudgetdocuments(2017budgetestimate);AustraliandatafromAustralianGovernment2015andrelates

to2012.

Thepositivecross-correlationbetweentax/GDPandGDPpercapitaisshowninFigure

8.Thecorrelationisquiteweak.Otherfactorsarealsoclearlyimportant.Resource-rich

countriestendtohavehighertax/GDPratios,forexample.

Figure8:Thecorrelationbetweentax/GDPandincomepercapita

Source:WorldDevelopmentIndicators

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Whileotherfactorsareimportant,Figure8neverthelessconfirmsthatgovernmentsin

poorcountriesgenerallyhavefewerresourcestoallocatenotonlybecausetheir

economiesarepoorer,butalsobecausetheycanlayclaimtoalessershareofthose

economies.Asaresult,thesegovernmentshavefarfewerresourceswhichcanbe

deployedinresponsetogoodpolicysuggestions.Onemightfindtheevidence,butnot

thefunds.

Thecompositionofgovernmentexpenditureandrevenueisasimportantasitssize.In

general,directtaxesandtransfersaremuchlessimportantindevelopingcountriesthan

theyareindevelopedones.Bastaglietal.(2012)confirmthatdevelopedcountriesdo

onaveragehavemuchhighertax/GDPratios.3Theyalsorevealimportantcompositional

differences.Incometaxesmakeupmorethanhalfthetotaltaxtakeindeveloped

countries,butonlyaquarterorlessinthevariousdeveloping-countryregions.

Ontheexpenditureside,Bastaglietal.(2012)alsoshowthattransfersmakeup15per

centofGDPindevelopedeconomiesbutonlyabout2percentinAsianeconomiesand1

percentinsub-SaharanAfrica.Itisnotthattargetedtransfersareimpossiblein

developingcountries.Proxyindicatorslikealackofconsumerdurablescanbeused,as

inIndiaforexample,toassesswhetherahouseholdispoorandtherebyinstitute

targetedcashorothertransfersprograms.Buttargetedtransfersarecertainlymore

difficulttomakeindevelopingcountries.Forexample,schemesofemployment

insurancearesimplyimpossibletoimplementindevelopingcountries,sinceinformal

employmentisnon-verifiable.

ThecontrastcancertainlybeseeninthecaseofPNGandAustralia.Bothcountrieshave

highlyprogressivedirecttaxsystems.InPNG,however,onlyasmallminorityare

subjecttothedirecttaxsystem,whereasinAustraliavirtuallytheentireworkforceis

covered.Australiaalsohasanextensiveandcomplexsystemofdirecttransfers,

includinguniversal,means-testedagepensions,disabilitybenefits,andunemployment

3Onaverage,developedeconomieshaveatax/GDPratioofjustover35percent.ThefourdevelopingcountryregionsofLatinAmerica,MiddleEastandNorthAfrica,AsiaandPacific,andSub-SaharanAfricaallhaveatax/GDPratioof20percentorless.

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benefits.FormalsectoremployeesinPNGreceivesuperannuationbenefits,butnoneof

thetransferschemesevidentinAustraliaoperateinPNGatthenationallevel.4

Limitedresearchcapacity

Sofar,wehavelookedatwhatmightbethoughtofasdemandsidefactorshindering

evidence-basedpolicymakingindevelopingcountries:factorsthatreducethe

incentivesforgoodpolicy,andthatreducethepolicyoptionsopentogovernment.In

summary,theargumentofthepapersofaristhat,onthedemandside,poorinstitutions

makeitlesslikelythatgoodpolicysuggestionswillbeimplemented,andalarge

informalsectorreducesthepolicyoptionsopentogovernments.Inthissection,weturn

tosupply-sidefactorsthatmakeevidence-basedpolicymakingmoredifficultto

implement.Heretherelevantstylisedfactisthatuniversitiesandthinktanksin

developingcountriesaregenerallysmallinsizeandoflowquality.

ThecontrastbetweenrichandpoorcountriesinthisregardisshownclearlybyFigure

11,whichcomparespercapitaspendingonuniversityeducationinthetwocountries.

PNGspendsonly$6perpersononuniversityeducation;Australiaspendsmorethan

$1,000.Thisratioofmorethan100:1isfargreaterthantheratioofpercapitaincomes

whichisapproximately15:1.PNGnotonlyputsfarfewerstudentsthroughuniversities

andspendsonlyafifthofwhatAustraliadoesoneachofthem.

4Oneresource-richPNGprovince,NewIreland,operatesitsowncashtransferprogram.

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Figure11:PercapitaandperstudentuniversityfundinginAustraliaandPNG

Sourcesandnote:Totalspendingforfourstate-owneduniversitiesinPNG(2015actuals)frombudgetdocuments

dividedbyestimatesofthestudentbodyandpopulation.ForAustralia,governmentspendingperstudentandtotal

numberofstudentsfromUniversitiesAustralia(2015),for2015withCensuspopulationestimateforthatyear.

Currentexchangerateused(universitysalariesarelowerinPNG,butthepurchasingpowerofsalariesissimilarif

nothigherinAustralia).

Comparablecross-countrydataontertiaryeducationishardtocomeby.Instead,we

canusetheshareofthelabourforcewithatertiaryeducationasaproxy(Figure12).

Thereisastrongpositivecorrelationbetweentheshareofthelabourforcewitha

tertiaryeducationandincomepercapita.

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Figure12:Thecorrelationacrosscountriesbetweentheshareofthelabourforce

withatertiaryeducation(aproxyforeducationspending)andincomepercapita

Source:WorldDevelopmentIndicators

Asmallershareofspendingontertiaryeducationwouldnotnecessarilybeaproblem

forevidence-basedpolicymakingiftheeducationsectorindevelopingcountrieswas,

althoughsmall,ofhighquality.However,thisisrarelythecase.Thequantityandquality

oftertiaryeducationmovetogether,atleasttoacertainthreshold.Educationspending

perstudentistypicallymuchlowerindevelopingcountriesthanindevelopedones,as

thecomparisonbetweenPNGandAustraliaillustrates(seethesecondgraphinFigure

11above).Partlyasaresultoffewerresources,universitiesindevelopingcountries

haveagreaterfocusonteaching,andalesserfocusonresearch—including,therefore,a

lesserfocusonresearchintopolicyquestions.

Agoodmeasureofthequalityoftertiaryeducationinacountryistherankingofits

universities.Whilethereisnodoubtthattherankingbyqualityofuniversitiesisafar

fromperfectscience,itwouldbeamistaketowriteoffanysuchrankingasa

meaninglessexercise.TwoofthemostpopularandcomprehensiverankingsaretheQS

WorldUniversityRankingsandtheTimesHigherEducationWorldUniversityRankings.

AsTable1belowshows,only4ofthetop100universities(accordingtotheQSWorld

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UniversityRankings)or2(accordingtotheTimesHigherEducationWorldUniversity

Rankings)arelocatedinadevelopingcountry,namely,China.5

Table1:Themostrepresentedcountriesintwotop-100worlduniversity

rankings

Countries QSWorldUniversitiesRankings2016-2017

TimesHigherEducationWorldUniversityRankings

2016-2017

UnitedStates 32 41

UnitedKingdom 18 12

Germany 4 9

TheNetherlands 2 8

Australia 6 6

Japan 5 2

Canada 4 3

China 4 2

HongKong 4 3

Source:Bridgestock2016

Economicsisonedisciplinewidelyregardedascriticalforevidence-basedpolicy

making.AqualitativecomparisonbetweenAustraliaandPNGisusefulinthiscontext.

ThereisonlyoneuniversitywherestudentscanstudyeconomicsinPNG,namelythe

UniversityofPapuaNewGuinea(UPNG).InAustralia,therearedozens.AtUPNG,in

2014,therewereonlytwolecturersintheEconomicsDivision.Thesituationhas

5WhileHongKongispartofChina,itstillfunctionsseparately,andcertainlyinthiscontextisbestthoughtofasadevelopedeconomy,ratherthanaspartofalargerdevelopingcountry.

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improvedslightlysincethenduetotheprovisionofvisitinglecturersfromThe

AustralianNationalUniversity(ANU)(withfundingfromtheAustralianaidprogram),

butatthetimeofwritingthereareonlyfourlecturersintheEconomicsDivision.Any

oneofthedozensofuniversitiesteachingeconomicsinAustraliawouldhaveastronger

faculty.LittleresearchiscarriedoutbytheUPNGEconomicsDivision,thoughagain

therehasbeensomeimprovementinrecentyearsasaresultoftheANUpartnership.

Ofcourse,universitiesarenottheonlyplacewhereeconomicorpolicy-relatedresearch

iscarriedout.PapuaNewGuineaisfortunatetohavetwothinktanks,theNational

ResearchInstitute(NRI),whichisgovernmentfunded,andtheInstituteofNational

Affairs(INA),whichisfundedbytheprivatesector.BoththeNRIandINAmakea

valuablecontributiontoeconomicresearchinPNG.Buttheyarerelativelysmall

institutions,andthinlystretched.Australiahasamuchmorerobustnetworkofthink

tanks,bothgovernment-funded,suchastheProductivityCommission,andnon-

government-funded,suchastheGrattanInstitute,theCentreforIndependentStudies,

andtheAustraliaInstitute,tonameonlyafew.

Thelimitationspointedtointhissectionnotonlyactasconstraintstothesupplyof

evidenceforpolicy-makingindevelopingcountries.Theyalsolimitcontestability:the

abilityofthinktanksanduniversitiestoquestionofficialwisdom,andsuggestan

alternativenarrative.Thisinturnleadstoagreaterprospectofpolicycaptureofthe

dominantpublicsectorinstitutions,suchasTheTreasuryandtheCentralBank,andan

increasedlikelihoodthatevidence,evenifitisavailabletosupportanalternativepolicy

position,willbeignoredifitispoliticallyinconvenient.PNGhasrecentlyseenmajor

changesinitsexchangerateregimeawayfromafloatingtowardsafixedexchangerate

(IMF2016).Thishasnotgoneunnoticed,butnorhasitbeenaccompaniedbythesortof

livelydebateonewouldexpectifasimilarseismicshiftineconomicpolicyoccurredin,

say,Australia.

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Foreignaid

Sofarwehaveconsideredvariousdisadvantagesthatdevelopingcountrieshaveto

contendwithinrelationtopursuingthedesideratumofevidence-basedpolicymaking.

Butdevelopingcountriesalsohaveanadvantage.Theyreceiveforeignaid,andmuch

foreignaidisintendedtohelpwithbetterpolicymaking.Towhatextentdoesthis

actuallycompensatefortheotherdifficulties?

Foreignaidisstillsignificantforlowincomeand,toalesserextent,lower-middle

incomecountries.In2012,lowincomecountriesonaveragereceivedaidworth9.9per

centoftheirGDP.Lower-middleincomecountriesreceivedaidworthonaverage0.8

percentoftheirGDP.Forupper-middleincomecountries,however,theratiowasonly

0.1percent.Developedcountriesreceivenoaid,thoughtheydooccasionallyreceive

internationalassistancefollowingdisastersandfinancialcrises.PNGreceivesforeign

aidworthabout5percentofitsGDP.Wecancertainlyconcludethataidisasignificant

volumeoffundsforthepoorerofthedevelopingcountries,thoughitalsoneedstobe

recalledthatmostoftheworld’scountriesarenowadaysmiddleratherthanlow

income.

Aidisprovidedforawholevarietyofreasonsandcauses.Aidisgivenasdisasterrelief,

foodaid,budgetsupportanddebtrelief.Mostaidisgiventofundsectoralprojects,

whethertobuildanewroad,ortostrengthenteachertraining.

Anotherimportantformofaidistechnicalassistanceorcooperation.Onaverage,about

onequarterofallaidisgivenastechnicalassistance.Australiaingeneralismore

focusedontechnicalassistancethanthis.Attimes,asmuchas60percentofAustralian

aidhasbeengivenastechnicalassistance,withthecurrentfiguresittingaround40per

cent.Technicalassistanceisitselfgivenforarangeofreasons,butingeneralitisgiven

tostrengtheninstitutionsandimprovepolicymaking.Indeed,technicalassistancecan

beviewedasthepublicsectorequivalentofforeigndirectinvestment.Justasforeign

directinvestmentisatransfermechanismbywhichdevelopingcountriescanaccess

advancedindustrialtechnology,sotechnicalassistanceisamechanismbywhich

developingcountriescanaccessdeveloped-countrypublic-sectorprocessesand

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reforms.Perhapsthemosttypicaluseoftechnicalassistanceistheprovisionofadvisers

togovernmentdepartmentstoimprovecapacityforpolicyreformandimplementation.

Anotherformofaidexplicitlydirectedatimprovingpolicyisbudgetsupportgivenon

thebasisofreformconditions.Lessthantenpercentofaidisgivenasbudgetsupport.

Evaluationsofbudgetsupportvarywidely,butthemorepositiveonesclaimonlya

modestroleforit(Mosleyetal.1995).

Towhatextentisaidabletocompensateforthedisadvantagesthatdeveloping

countriesface?Someclaimthataidinfactisanegativeforthecountriesthatreceiveit.

AngusDeatonamongothersclaimsthataidunderminesinstitutions(Deaton2013).

Evidenceforthisclaimislimitedthough,andinfactthereisevidenceintheopposite

direction(summarizedbyWood,2016).

Whileitseemsunreasonabletoclaimthataidinfactmakesthingsworse,howmuch

doesitmakeitbetter?Therearecertainlypositiveexamplesofpolicyandinstitutional

transfer.Oneofthemisprovidedinthisbook:income-contingentloans.However,in

general,thetrackrecordofusingaidtopromotereformsislimitedifnotdisappointing

(Andrews,2013).

First,reformsaredeterminedbydomesticpolitics,andtheinfluenceofoutsiders,even

cashed-upoutsiders,isnormallylimited.

Second,OECDinstitutionsandpoliciesmaynotingeneralbeappropriatefordeveloping

countries.ThepracticethatEvans(2004)referstoas“institutionalmonocropping”may

besub-optimal.

Third,evenwhencountriesadopttherecommendedreforms,theadoptionmightbe

onlyskindeep,orinformratherthansubstance.Pritchettetal.(2010)highlightthe

phenomenonof“isomorphicmimicry”bywhichdevelopingcountriespretendtoadopt

developed-countryreformstokeepdonorshappy,butinwhichtheirunderlying

institutionsinfactdonotchange.TheWorldBank(2017,p.92)showsthatthegap

betweenformalrulesandactualpracticeisgreaterinpoorercountries.Forexample,

manydevelopingcountrieshaveadoptedanti-corruptioninstitutionswithoutmakinga

dentonthelevelofnationalcorruption(Kuria,2016).

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Fourth,theliteraturerecommends,asaresultofthedisappointmentsassociatedwith

foreignaid,thatdonorspromotehome-grown,iterativesolutions(Andrewsetal.,

2017).Theyalsorecommendthattheylookforopportunitiesforpolitically-feasible,

incrementalreform—amorerealisticoptioncomparedtoseekingwider-ranging

institutionalchange(TheAsiaFoundation2011).Theseideassoundpromising,butthey

alsosuggestthattheroleofaidislimited,andthatatbestitisapartialratherthanfull

compensationfortheotherdifficultiesdevelopingcountriesfaceinimplementing

evidence-basedpolicy.

ThehistoryofaidtoPNGprovidesarichrangeofexperiencesthatilluminatethe

limitationsofaidinpromotingpolicyandinstitutionalreform.Aninterestingexampleis

theNationalRoadAuthority(NRA).Itwassetuptosecurefundingforroad

maintenancewithmuchencouragementandassistancefromtheAsianDevelopment

Bank.Sinceitscreationin2003,however,theNRAhasneverbeenfundedmorethan

tokenistically.Aminisculetaxof0.04Kina(about$A0.02)perlitreofpetrolprovides

nexttonofundingforit($AUD7millionin2014or1.5percentofallgovernment

spendingonroadmaintenanceandrehabilitation),andmakesitimpossibleforittoplay

anythingresemblingtheroleintendedforit(Dornan,2014,2016).

AnotherinterestingexampleistheSovereignWealthFund(SWF),whichPNGfinally

establishedin2015afterhavingagreedwithAustraliatoestablishitin2009andhaving

subsequentlyreceivedconsiderableassistancetodoso.TheestablishmentoftheSWF

wascontroversial,andPNGtooksolongtosetitupthat,bythetimeitdid,itsresource

boomwaswellandtrulyover.PerhapstheSWFwillbeofassistanceasasavings

mechanismnexttimethecountryhasaresourceboom,butsignificantquestionsraised

aboutitsdesign(Osborne2015)makeeventhisuncertain.

Amorepositiveexampleistheprovincialfunctiongrantsmentionedearlier.This

schemewasalsoestablishedwithAustralianassistanceandencouragement.The

increasedfundsthathaveflowntoPNG’sprovincesthroughtheseredesignedgrantsare

generallyreviewedasresponsivetoPNG’sneeds.Theestablishmentoftherequisite

formulaewasbasedonsignificantdomesticinput,ratherthanasimpletransplantingof

bestpractice(ODE2009).Nevertheless,evenforthispositiveexample,thereistherisk

thatgoodpolicywillbetrumpedbyinstitutionalchange.Theearlier-notedshiftin

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PNG’sapproachtodecentralization,withitsmuchgreateremphasisondistrictsrather

thanprovinces,hasalreadyresultedinadwarfingoftheprovincialfunctiongrantsby

newdistrictgrants,andraisesseriousquestionsaboutthelong-termviabilityofthe

provincialgrants.

Conclusion

Anenvironmentconducivetoevidence-basedpolicymakingisoneinwhichthereare

strongincentivesforgoodpoliciestobeadopted,capableinstitutionstoimplement

them,awiderangeofdomainswithinwhichgoodpolicycanbeadopted,andaready

supplyofwell-developedpolicyproposals.Theseconditionsareallmorelikelytoexist

indevelopedthandevelopingcountries.Developingcountriesontheotherhandhave

theadvantageofforeignaid.Muchforeignaidisdedicatedtothepurposeoffacilitating

evidence-basedpolicymaking.Butatbestthisisapartialcompensationfortheother

problemsfacedbydevelopingcountriesinstrivingtobasetheirpoliciesmorefirmlyon

soundevidence.

Thisisnotacounselfordespair.Oneofthemostimportantstylisedfactsof

developmentisthe“growthtriangle”,whichshowsthatwhiledevelopedcountriesgrow

atslow,steadyratesoverdecades,developingcountriesshowmuchmorevariation,

withtheextentofvariationgrowingthepoorerthecountrieswereatthestartofthe

periodofanalysis(Jones&Romer2010).Mostdevelopingcountrieshavethepotential

forrapidgrowthbasedontechnologicalcatch-up,butonlysomeofthemareableto

realisethatpotential.Thosethatdorealisethatpotentialareingeneralthosewithgood

institutions,oratleastthosethathaveapoliticaldynamicthatsupportsthe

developmentofbetterinstitutions.Astheydevelop,theconstraintsaroundevidence-

basedpolicymakingareweakened,theirinstitutionsimprove(orwerealreadygood

enoughtostartwith),theireconomiesformalise,wideningthegovernment’soptions,

andtheyhavemorefundstospendonuniversitiesandthinktank.Clearlynotall

countriesfindthemselvesinsuchavirtuouscircle.Thoseexcludedfromitarethose

withpoorinstitutionsandwithoutapoliticaldynamicthatwillimproveinstitutional

qualityovertime.Implementingevidence-basedpolicymakingisatoughaskinsuch

countries.

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Whilethispaperisnotacounselfordespair,itisacallforrealism.Therearenoeasy

answers,andevidence-basedpolicymakingofcourseremainsanadmirableaspiration.

Itjustmaybealongwayaway.

Whatcanbedonetopromoteevidence-basedpolicymakinginpoorcountriesgiventhe

constraintsonthem?OnepromisingexampleinthisregardistheAfricanEconomic

ResearchConsortium.JimAdams,formerWorldBankVicePresident,haswrittenas

followsconcerningtheAERC:

Inthemid-1980swhenthecallforstructuraladjustmentwasatitspeakin

Africa,aclearsenseemergedthattoomuchofthedebateonreformand

adjustmentwasdominatedbydonors.Thelocalcapacityinvolvedwasbothtoo

smallandoflimiteddepth.Theneartotalabsenceofsolideconomic

analysisemergingfromwithinthecontinentwasanobviousgaprequiring

action.Therewasaparallelconcernaboutthequalityoftheeconomictraining

withintheregion.Indirectresponse,aneffortwasledbyanumberofdonorsto

putinplacesupportfordevelopinganetworkofqualifiedpolicy-focused

economists.

CalledtheAfricanEconomicResearchConsortium(AERC),itbeganoperationsin

1988.Fromitsinitiation,theAERCincludedaprogramoffundingandtrainingyoung

economistsintheareaofeconomicpolicy,withastrongfocusonqualityandregular

workshopstoexchangeideas.Today,governmentsacrossAfricaseeAERC-fundedwork

ascentraltotheirpolicy-makingprocesses.Theyarenolongertotallydependenton

outsideresearchersanddonors.AERCgraduatesareincreasinglytakingonsenior

policypositionsacrossAfrica.TheAERCitselfhasexpandedfromtheoriginalthree

countriesinwhichitbegantocovertheentirecontinent.(Adams2013)

Adamsconcludesthat‘TheAERCmodelcan’tbedirectlycopied,butitsaccumulationof

25yearsofsuccessfulexperiencedoesprovidesomeusefulguidancefor…donorson

howtogoaboutthecriticaltaskofbuildingtheeconomiccapacityrequiredtopromote

andsustaineconomicreform’(Adams2013).

Whileeconomicsisimportant,onemightreasonablygeneralisethisadvicetocover

thosedisciplinesrelevanttopublicpolicymorebroadly,includingpoliticalscience,and

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thestudyofpublicpolicyitself.Ifwewantmoreevidence-basedpolicymakinginthe

tropics,donorsandgovernmentsalikeshoulddomoretosupportevidence-gatherers

byinvestinginlocaluniversitiesandthinktanks.

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