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PolicyResearchWorkingPaper10730
DoesAfricaNeedMoreRoadsintheDigitalAge?
EvidenceofComplementaritiesinInfrastructure
MathildeLebrand
ArcadyMongoue
RolandPongou
FanZhang
WORLDBANKGROUP
InfrastructureChiefEconomistOffice
March2024
PolicyResearchWorkingPaper10730
Abstract
Thispaperinvestigateswhethertheexpansionoffastinternetnetworkscomplementsorsubstitutesforthedevelopmentofroadstoimprovemarketaccessandcreatemoreandhigher-skilledjobsinAfrica.Thepapercombinesthegeo-graphiclocationsofhouseholdsandfirmswiththelocationsofmainroadsandoptical-fibernodesin25Sub-SaharanAfricancountries.Usingthedifference-in-differencesandinstrumentalvariablesapproachesandleveragingthehis-toryofpost-independenceroadbuildingandthetimingofthearrivalofsubmarineinternet,thepaperexaminestheimpactsofaccesstothesetwotypesofinfrastructure,
bothinisolationandincombination.Thefindingsshowthatimprovingaccesstobothhaslargeandpositivecom-plementaryeffects.Onaverage,theadditionalimpactsonemploymentfromcombiningaccesstobothtypesofinfra-structureare22percentlargerthanthesumoftheirisolatedeffects.ThefindingssuggestthatabigpushforcombinedinvestmentsinfastinternetandroadaccesscouldenhanceeconomicdevelopmentinAfricaoverall.Firmsandworkersinurbanlocations,femaleworkers,andworkerswithhigherlevelsofeducationgainthemostfromthecomplementar-itiesthatemerge.
ThispaperisaproductoftheInfrastructureChiefEconomistOffice.ItispartofalargereffortbytheWorldBanktoprovideopenaccesstoitsresearchandmakeacontributiontodevelopmentpolicydiscussionsaroundtheworld.PolicyResearchWorkingPapersarealsopostedontheWebat
/prwp.Theauthorsmaybecontacted
atmlebrand@.
ThePolicyResearchWorkingPaperSeriesdisseminatesthefindingsofworkinprogresstoencouragetheexchangeofideasaboutdevelopmentissues.Anobjectiveoftheseriesistogetthefindingsoutquickly,evenifthepresentationsarelessthanfullypolished.Thepaperscarrythenamesoftheauthorsandshouldbecitedaccordingly.Thefindings,interpretations,andconclusionsexpressedinthispaperareentirelythoseoftheauthors.TheydonotnecessarilyrepresenttheviewsoftheInternationalBankforReconstructionandDevelopment/WorldBankanditsaffiliatedorganizations,orthoseoftheExecutiveDirectorsoftheWorldBankorthegovernmentstheyrepresent.
ProducedbytheResearchSupportTeam
DoesAfricaNeedMoreRoadsintheDigitalAge?
EvidenceofComplementaritiesinInfrastructure
MathildeLebrand2,ArcadyMongoue1,RolandPongou1,andFan
Zhang2
1OttawaUniversity
2WorldBank
Keywords:Infrastructure;Employment;Structuraltransformation;Africa
JELClassification:J24,L91,L94,O13,O15,O18
2
1Introduction
Therapidspreadoftheinternethasbeenheraldedasanopportunityfortheeconomiesoflow-incomecountriesto“leapfrogintothe21stcentury”andtocre-
atemoreandbetterjobs(HjortandPoulsen,
2019)
.Butitisalsoarguedthatunlessinvestmentsindigitaltechnologiesarecomplementedbypoliciesandmea-surestoimprovetraditionalmeansofmarketaccess,itisunlikelythatthesenew
technologieswillrealizetheirfullpotential(Goldberg,
2019)
.Severalpapersintheeconomicliteraturehaveexaminedtheroleofroadoneconomicgrowthandjobcreation,andafewstudieshaveanalyzedtheimpactofinternetinfrastructureontheseoutcomes.Amongothers,
Dufloetal.
(2015)showthattheproximityto
roadnetworkshascontributedtoeconomicgainswithinregionsinChina.
Hjort
andPoulsen
(2019)showthatfastinternetaccesshashadlarge,positiveeffects
onemploymentratesandongroupsofworkerswithlowerlevelsofeducation.However,mostoftheliteraturehasstudiedtheemploymentimpactsofdifferenttypesofinfrastructureinisolation,leavingopenthequestionofhowtheyworkincombination.Addressingthequestionofwhetherinternetnetworkscomplementorsubstituteforthedevelopmentofroadstoimprovelabormarketoutcomesandeconomicdevelopmentiscrucialfortheoptimaldesignofpoliciestosupplythese
costlyinfrastructures.
Inthispaper,weinvestigatecomplementaritiesbetweentheinternetandroadnetworksinemployment,thestructureofthelabormarket,andfirms’operationsinAfrica.Wealsoanalyzehowthese(complementary)effectsvaryacrossgender,skills,occupations,educationallevels,ruralandurbanlocations,andlevelsofeco-nomicdevelopment.Bothroadsandinternetaccessprovidebettermarketaccesstofirmsandconsumers.Internetconnectivitycansubstituteforaccesstoroads,forexample,byenablingsomepeopletoworkfromhomeratherthantouseroadstocommutetoanoffice.Alternatively,roadsandinternetaccesscanalsocom-plementeachother.Forexample,e-commerceinremoteareasislikelytodevelop
onlyifgoodroadsallowfortradetoandfromtheseregions.Internetaccessmay
3
reduceinformationfrictionsforfirms,allowingthemtofindandusebetterinputs,tofindandemploybetterworkers,andtotraintheirworkersonthejob;atthesametime,goodroadsmayremainnecessarytotakeadvantageoftheseinputs,bothtoallowworkerstoeasilycometoworkplaces,andforfirmstohaveincen-tivestoimproveproductionthroughinvestmentstoincreaselaborproductivity.OurpaperaimstoidentifywhetherroadsandinternetaccessaresubstitutesorcomplementsforjoboutcomesinAfrica.Addressingthisquestionhasimportantimplicationsforoptimizingtheallocationofinfrastructureinvestmentsinpoor
countries.
Toexaminehowtheexpansionoffastinternetnetworkscomplementsorsub-stitutesforthedevelopmentofroadstoencouragejobcreation,wecombinedataoncharacteristicsandgeographiclocationsofhouseholdsandfirms,andonthelo-cationofoptical-fibernodesandroadsinSub-SaharanAfricancountries.WedrawondetaileddemographicdatafromtheDemographicandHealthSurveys(DHS)Program,theWorldBankEnterprisesSurveys(WBES),andtheLivingStandardMeasurementStudy(LSMS).Noveldataonoptical-fibernodescomefromAfricaBandwidthMaps,andsubmarinecablemapsfrom
Mahlknecht
(2014)
.Usingacombinationofdifference-in-differencestechniquesandinstrumental-variableap-proacheswiththesevarieddata,weestimatethejoineffectsonlocallabormarketsandworkersthatstemfromchangesintheproximityofmajorroadsandaccessi-
bilitytohigh-speedinternetinfrastructure.
Wefindlarge,complementaryeffectsofinvestinginthetwotypesofinfras-tructure.Forexample,combinedinvestmentsofthiskindincreasetheprobabilityofhavingbeenemployedinthelastyearbyatleast9percentagepointsfromtheprobabilitythatisthecasewhennoinvestmentsaremade.Bycontrast,roadandinternetinvestmentsundertakeninisolationhavelowerimpacts.Being1kilo-meterclosertoaroadinagivenlocationincreasesthelikelihoodofemploymentby0.8percentagepoint,andhavingfastinternetaccessincreasesthelikelihoodofemploymentby6.7percentagepoints.Thus,theadditionalimpactonem-
ploymentthatarisesfromthecomplementaritiesofcombiningroadandinternet
4
investmentsis,onaverage,22percenthigher.Similarly,complementaritiesthatarisefromthetwoinvestmentsare20percentlargerintermsofboththeshareofagivenlocation’sworkerswhoareskilledandthesharewhoworkinservice-sectorjobs.Betteraccesstoroadsandfastinternetincombinationleadstheshareof
low-skilledworkerstofall.
Investmentsinbothtypesofinfrastructurealsohavepositiveimpactsonfirms.Wefindthatfirms’productivityimprovesandthatlossesdecline.Firmshavemoreopportunitiestoenterintocontractswiththegovernment.Thishasapositiveimpactonthelabordemandoffirms,leadingthemtooperateformorehoursandtohiremorefull-timeemployees.Onaverage,thecombinedimpactofaccessingfastinternetandbringingamainroad1kilometercloserincreasesfirms’hoursofoperationby4.4hoursperweekandleadsthemtoaddonemorefull-timeemployee.Combininginvestmentsinthetwotypesofinfrastructureratherthanmakingisolatedinvestmentsleadstoanincreaseinfirms’hoursofoperationand
inthenumberoffull-timeemployees.
Westudytheheterogeneityinimpactsoftheisolatedandcombinedinvest-mentsinexpandingaccesstofastinternetandmainroads.Theseimpactsdifferbetweenurbanandrurallocations,aswellasbetweenmaleandfemaleworkers.
Isolatedinvestmentsinfastinternetbenefiturbanlocationsandfemaleworkers
themost.Constructionthatbringsamainroad1kilometerclosertoalocalitybenefitsrurallocationsandfemaleworkersthemost.Theadditionalimpactsfromcombiningroadandinternetinvestmentsare72percentlargerinurbanlocationscomparedtolocalitiesthatgainedbetteraccesstoonlyoneofthetypesofin-frastructure;bycontrast,theadditionalimpactsofsuchdualinvestmentsarefarlower,just5percent,inrurallocations.Theadditionalimpactsarearound23percentlargerforbothmaleandfemaleworkersthanthosewithaccesstoonly
oneofthetypesofinfrastructureinurbanareas.
ContributionstotheliteratureOurpaperprovidesnovelfindingsonhow
theexpansionofinternetnetworkscomplementsimportantinfrastructuressuch
asroadstoenhancejobcreationandemploymentindevelopingcountries,anddocumentshowthebenefitsofthiscomplementarityvaryacrossindividualsandsocieties.Itdoessousingbothindividualandfirm-leveldatafromvarioussourcesandemployinganidentificationstrategythatinvolvesanewinstrumentalvari-ablebasedonthearbitraryethniccompositionandpoliticalhistoryofAfricancountries.Ouranalysisaddstotherecentliteratureontheimpactsofinternetaccessoneconomicdevelopment.
HjortandTian
(2021)provideanoverviewof
thenascentyetalreadysizeableempiricalbodyofresearchontheeconomicimpactofinternetconnectivityindevelopingcountries.Theoretically,internetaccesscandriveeconomicdevelopmentthroughitsimpactsonboththesupply-sideandthedemand-sideofaneconomy.Inmanycontexts,internetaccessappearstoimprove
theproductivityofworkersandfirms(Dracaetal.,
2006;
KhannaandSharma,
2018
;
GoldfarbandTucker,
2019;
Houngbononetal.,
2022)
.Researchfindingsshowthatlabormarketoutcomesforfemaleworkersespeciallyimprovewhen
firmsusemoreICT(Dutzetal.,
2017),butthefindingsaremixedonwhetherin
-ternetconnectivityplaysaroleinbuildingskills.Demand-sideforcesfocusontheexpansionofmarketaccessforfirms,workers,and/orconsumers,andthereduc-
tionofinformationfrictions(AllenandArkolakis,
2014;
Fanetal.,
2018;
Couture
etal.
,
2021)
.Internetaccesshasalsobeenshowntoimprovehealth-relatedhu-
mancapitalbyreducingHIV/AIDSprevalence(AbbasiandPongou,
2022)
.Incontributingtothisliterature,ourworkbreaksnewgroundbyanalyzingnotjusttheeffectoftheinternetinisolation,butalsotheadditionalimpactsthatarisefromthecomplementaritybetweeninternetandroadinfrastructureinvestments
onemploymentopportunitiesandoutcomes.
Ourpaperalsoaddstotheliteratureontheimpactsoftransportinfrastructureexpansiononeconomicgrowthanddevelopment.Severalpapershaveshownthat
thenetwelfaregainsofhighwaysarelarge(Aschauer,
1989;
Shatzetal.,
2011;
DurantonandTurner,
2012;
Faber,
2013;
AllenandArkolakis,
2014;
EjazGhani,
2016
;
Heetal.,
2020).Othershavefocusedontheimpactsofbetteraccessibilityto
roadsorrailroadsonGDPpercapita(Atacketal.,
2009;
Donaldson,
2010;
Duflo
5
6
etal.
,
2015),andoneconomicdevelopment(Okoyeetal.,
2019)
.Thesepapers
havefocusedontransportinvestmentsonly.
Veryfewpapershavelookedatcomplementaritiesininfrastructure,especiallyinAfrica.AnalyzingdatafromEthiopia,
Moneke
(2020)examinestheimpacton
employmentandwelfarethatstemsfromcombinedinvestmentsinroadandelec-trification.Usingdatafrom27Sub-SaharanAfricancountries,
Abbasietal.
(2022)
exploretheheterogeneouseffectsofjointinvestmentsinroadandelectrificationonemployment,findingstrongcomplementaritiesbetweentheseinfrastructures.
Gebresilasse
(2023)documentscomplementaritiesbetweenroadconstructionand
extensionservicesinagriculturalproductivityinruralEthiopia.Ourpaperaddstothisnewliteraturebyexaminingthecomplementaritiesofinternetandroad
investments.
Ourpaperalsomakesamethodologicalcontribution.Itaddstotheempiricalliteratureoninfrastructurebyusingtwooriginalinstrumentalvariablestoaddressthepossibleendogeneityofinfrastructurelocations.Weexploittheleast-cost-pathproceduretoconstructtheoreticalroadnetworksconnectingthecentroidsofdifferentethnicterritoriesinSub-SaharanAfrica.Weinteracttheresultingexogenousdistancetothenearestmainroadwiththeaccessibilityofsubmarine
internet.
Theremainderofthispaperisorganizedasfollows:Section2presentstheconceptualframework.Section3describesthecontext,data,andourempirical
strategy.Sections4and5presentthemainfindings.Section6concludes.
2TheGainsfromInternetConnectivityandRoads
Following
HjortandTian
(2021),wepresentanoverviewofpotentialmecha
-nismsdrivingthejobandeconomicimpactsofthecombinedprovisionofinternetconnectivityandroadnetworks.Internetandroadaccesscandriveeconomic
developmentthroughbothsupply-anddemand-sideimpacts.
7
2.1Supply-Side
Thepresenceorabsenceofaccesstotheinternetandroadnetworkscandirectlyaffecttheproductivityoffirms,workers,andotherinputsintheproductionpro-cess.Findingsfrom
Lietal.
(2017)suggestthatroadinvestmentsinChinahad
significantandpositivereturns,increasingmanufacturingfirms’productivity.Asimilarstudyby
GordonandLi
(1995)findsthatroadinvestmentsledtoa4.6
percentincreaseintheproductivityoffirmsthatcontractwithgovernmentand
toa3.6percentincreaseinannualtotalfactorproductivity(Zhu,
2012)
.
Gib-
bonsetal.
(2016)similarlyfindthatnewroadinfrastructureintheUKgreatly
impactedtheproductivityoffirmsthere.Accesstotheinternetcanalsoaffectfirmproductivitybydirectlyaffectingworkers’on-the-jobproductivity,inducing
humancapitalaccumulation,andenhancingfirm-workermatching.
Severalempiricalpaperspointtowardadirectimpactofaccessibilitytoroads
onwagesandemployment(Gibbonsetal.,
2016;
Yamauchi,
2016;
Matasetal.,
2015
;
Yamauchietal.,
2011;
FrishandTsur,
2010;
Reardonetal.,
2001);otherem
-piricalstudiespointtowardadirectinfluenceofhigh-speedinternetconnectivityonwagesandemployment,too.
Chenetal.
(2020)documentsignificantincreases
inworkers’wagesandfirmproductivityinresponsetoaninternet-upgradingpro-gramthatincreasedinternetspeedsinChina.InthecontextofBrazil,
Almeida
etal.
(2017),
Poliquin
(2020),and
Tian
(2021)findthatnewlyestablishedbroad
-bandaccessincreasedworkers’wagesonaverage;bycontrast,
Dutzetal.
(2017)
findanegativecorrelationbetweenincreasedinternetaccessinBrazilandaver-agewages.InNigeria,
Bahiaetal.
(2020)examinehowtherolloutofmobile
broadbandaffectedlabor-marketoutcomes,householdconsumption,andpovertyinNigeria.Usingadifference-in-differencesapproachtotrackimpactsonin-dividualhouseholds,theyshowthatinternetconnectivityincreasedlabor-force
participationandemployment.
Anotherstrandoftheliteraturepointstowardadirectimpactofinternetcon-nectivityonhumancapitaldevelopment.Internetconnectivitycanfacilitateon-
the-jobtraining.
HjortandPoulsen
(2019)findevidencethatinternet-connected
8
firmsinsixAfricancountriesinvestedmoreintheirworkers’humancapital;
Mouelhi
(2009)alsodocumentsanadditionalhumancapitalinvestmentamong
internet-connectedfirmsinTunisia.Internetconnectivitycanaffecthumancap-italdevelopmentbothathomeandinschool.
Bianchietal.
(2020)showthat
connectinghigh-qualityteachersinurbanareasofChinawithmillionsofstudentsinruralprimaryandmiddleschoolsimprovedstudents’long-runacademicachieve-ment,labor-marketoutcomes,andinternetuse.However,theoverallevidenceontheimpactsofconnectedschoolsontestscoresismixedthusfar.Positiveimpacts
havebeendocumentedinPeru(Khoetal.,
2018)andMalawi(Derksenetal.,
2019);bycontrast,workinPeru(Malamudetal.,
2019)andBrazil(Bessoneand
Dahis
,
2020)hasfoundnoimpactontestscores
.
Internetaccesscanalsoaffectlaborproductivitybyimprovingfirm-workermatching,especiallyindevelopingeconomieswherefrictionsinthelabormarketarelarge.Empiricalevidenceislargelyfromhigh-incomecountries,suchasthe
US(KuhnandMansour
,
2011)andNorway(Bhulleretal.,
2020).
Ledermanand
Zouaidi
(2020)findarobust,negativerelationshipbetweeninternetusageand
long-term,frictionalunemploymentacrosscountries.Internetaccesscanalsoin-creasefirm-levelproductivitybyfacilitatingtheadoptiontangibleinputssuchasmachines,newtechnologies,andintermediatematerials,andtheadoptionofintan-gibleinputssuchasmanagement,organizationalpractices,andservices.Evidenceonthetake-upoftangibleinputsinresponsetointernetconnectivityislimited,butsuchhigh-speedconnectivityhasbeenshowntoaffecttheorganizationofproductionandtradeindevelopingcountries.
Houngbononetal.
(2022)findthat
individualfirmsinAfricaare20percentagepointsmorelikelytoundertakeprocessinnovationand12percentagepointsmorelikelytoundertakeproductinnovationwhenfastinternetbecomesavailable.
Tian
(2021)showsthatinternetaccessal
-lowsfirmsinurbanareastoreorganizeproductiontoenhancecollaborationand
facilitatethedivisionoflabor.
Usingenterprise-levelpaneldata,
Gibbonsetal.
(2016)examinetheeffectsof
investmentsinroadconstructiononemploymentandlaborproductivityinthe
9
UK.Theyfindthatimprovementsinroadaccesssubstantiallyincreasedworkersproductivityattheindividuallevel.InChina,
Lietal.
(2017)findthatinvestments
inroadinfrastructureyieldedanannualreturnof11.6percentfromproductivitygains.
LiandLi
(2013)findthatinvestinginroadsinChinaincreasedfirms’
productivity,withanannualrateofreturnofcloseto10percent.
2.2DemandSide
Roadscanimpactemploymentandfirms’expansionthroughexportsandtrade
(Mbekeani
,
2010;
Martincusetal.,
2017),regionalintegration(Mbekeani,
2010),
andnewmarket-entryenhancement(Meloetal.,
2010;
Holl,
2004).Internetcon
-nectivitycanalsoaffecteconomicactivitybothbydirectlyexpandingmarketaccessforfirms,workers,andconsumers,andbyaddressinginformationfrictions.Forexample,e-commercemayallowfirmstomaketheirproductsaccessibletomoreconsumers,especiallyinruralandremoteregions.Internetconnectivityap-pearstoenablefirmstoexpandtheirsalesbetweenregionswithincountries(see
Fanetal.
(2018)forChina)andthroughexportingandimporting(see
Hjortand
Poulsen
(2019)forAfrica).Internetaccessappearstolowerpricesandexpandthe
varietyofchoicesavailabletoconsumers(Coutureetal.
(2021),forChina).Inter
-netaccesscanhelpreduceinformationfrictionsthatarepervasiveindevelopingcountries.Internetaccesscanleadto(1)areductioninpricedispersion,(2)higherlocalpriceswhenbuyershaveadegreeofmonopsonypower(see
Goyal
(2010)for
India,and
GuerreroBarretoandRitterBurga
(2014)forPeru),(3)areductionin
uncertaintyaboutproductquality,and(4)improvementincommunicationwith
tradepartners(see
Leuvenetal.
(2018)and
Fernandesetal.
(2019)forChina)
.
2.3Heterogeneities
Theliteraturehasuncoveredimportantheterogeneityintheeffectsofaccesstohigh-speedinternetonwagesandproductivity.Manypapershavefoundthatinternetconnectivityappearstoespeciallybenefitfemaleworkers.InVietnam,
ChunandTang
(2018)findsuggestiveevidencethatfirmsthatincreasedtheir
10
ICTusealsoincreasedtheshareoffemalelabor.InBrazil,
Dutzetal.
(2017)
findthatemploymentgrowthfrominternetaccessestablishedindifferentareasofBrazilwasgreateramonglow-skilled,female-filledjobs.Similarresultshavebeen
foundinMexico(Juhnetal.,
2013)andNigeria(Bahiaetal.,
2020)
.
Theevidenceoninternettechnologyasasourceofskillbiasindevelopingcountriesismixed.
KhannaandSharma
(2018)showdescriptiveevidenceofcom
-plementaritybetweenusingICTandundertakingnon-routinetasks.
Chenetal.
(2020)findthattheadoptionofhigh-speedinternetprovidedgreaterbenefits
toChinesefirmsthatwereinmoreskill-intensiveindustriesandthathadmoreeducatedworkers.
Dutzetal.
(2017)alsofindevidencethat,withinthemanufac
-turingsectorinBrazil,internetaccessappearstohaveraisedwagesinmedium-andhigh-skilljobs,butnotinlow-skilljobs.InTanzania,
Bahiaetal.
(2021)show
thatbroadbandavailabilityincreasedbothlaborforceparticipationandwageem-ploymentamongyoung,educatedmen.
HjortandPoulsen
(2019)showthatthe
gradualarrivaloffastinternetinfrastructureinAfricaincreasedemploymentrates,evenforless-educatedworkergroups,althoughtheestimatesarethattheeffects
areconsiderablylargerformore-educatedworkers.
Theevidenceondifferencesacrossurbanandruralareasindevelopingcountriesisalsomixed.
Masakietal.
(2020)findthatthelabormarketimpactoffast
internetinSenegalislargerforhouseholdsinurbanareasthanthoseinruralareas;bycontrast,
Bahiaetal.
(2020)findespeciallybeneficialimpactsinrural
areasinNigeria.
Theeffectsofroadconstructionhavealsobeenshowntovary,dependingonlocation,industrytype,andquality.
Baum-Snowetal.
(2017)provideevidence
thatnew,regionalhighwayspromotedtheconcentrationofoutputsbutalsotheconcentrationoftheworking-agepopulationintoregionalprefecturesinChina.
Moneke
(2020)findthatinvestmentsinroadexpansionsthatbroughttheroad
networkclosertoisolatedareasimprovedproductivity,withsomemanufacturingsectorsgrowingandexpandingtoexporttheirproducts.Thestudyalsofound
thatincreasingroadaccessalonecausedalargeshiftofemploymentfromthe
11
manufacturingsectortosectorsinvolvinghigh-skillactivities,and,atthesame
time,causedserviceemploymenttorise,largelyininformal,smallretailbusinesses.
3DataandEmpiricalStrategy
3.1DataDescription
Wecombinegeo-codedsurveydatawithspatialdataoninternetandroadnet-
works
.1
3.1.1DemographicandHealthSurveys(DHS)
TheDHSarecross-sectionalsurveysthathavebeenconductedinthemajorityofdevelopingandmiddle-incomecountriessincethe1980s.Theyarerepresentativeatthenationalandsubnationallevels.Theyprovideinformationondemographiccharacteristicsandsocioeconomicstatus(e.g.,age,gender,education,occupation)ofallhouseholdmembersandrecentsurveyshavebeengeoreferenced.RecentstudieshaveusedDHStoexaminetheeconomicandsocialimpactsofinfrastruc-
tureindevelopingcountries(Okoyeetal.,
2019;
HjortandPoulsen,
2019;
Moneke,
2020
;
Canningetal.,
2020;
HerreraDappeandLebrand,
2021;
Lebrand,
2022;
Ab-
basietal.
,
2022).Werelyondatafrom56surveysconductedin20Sub-Saharan
Africancountries.Thetotalsamplesizeis806,378,with552,022womenand254,356men.Gridcells,20kilometersby20kilometersinarea,areconstructedaroundeachlocationtoaccountforanytime-invariantfactorthatmightaffectourinfrastructurelocationandoutcomevariables.Wegroupthosewhoareem-ployedintotwocategories:high-skilledworkersandlow-skilledworkers.Wealsodifferentiatebetweenagriculturalworkersandnon-agriculturalworkers.Skilledworkersincludeemployedworkersinthefollowingoccupationcategories:profes-sional,managerial,skilledmanuallabor,services,oragriculture.Inoursample,
67.7percentofrespondentsclaimedtobeemployed,while32.3reportedbeing
1Table(
A1
)intheOnlineAppendixprovidesdetailsonthecountriesanalyzedandyearsinwhichthesurveyswereconducted.
12
unemployed
.2
3.1.2WorldBankEnterpriseSurveys(WBES)
TheWBESarecountrywide,representativesamplesofbusinessesandfirmsfromallsectorsofactivitywithatleastfiveworkers.Theyincludeinformationonenterprises’establishments,assets,operations,sourcesoffunding,structureoftheworkforce,andtypeofactivities.Weexploitdatathatwerecollectedoverthe2005-2018periodforcoastalnationsthathadsurveycyclesbeforeandafterthedatewhensubmarineinternetwasacquired.ThesecountriesareGhana,Kenya,Mauritania,Nigeria,Senegal,andTanzania.Welimitoursampletosmall-andmedium-sizeenterprises(SMEs)thatemployamaximumof99individuals.Itisalsoimportanttonotethatwhiledigitalizedroadmapsarefortheperiodbefo
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