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技术创新面临的障碍外文文献翻译
技术创新面临的障碍外文翻译2019-2020
英文
Barrierstotheinternationaldiffusionoftechnologicalinnovations
SanjeshKumar,BaljeetSingh
Abstract
Thispaperexaminestheroleofdiffusionbarriersinexplainingdifferencesintechnologicalinnovationacrosscountriesthroughanindexofeconomiccomplexity.Thebarriersarecapturedbygenealogicaldistancefromtheworld’stechnologyfrontier.Wehypothesizethatgreaterthegeneticdistancebetweenacountry’spopulationandthetechnologyinnovatorthelowerwillbelevelsoftechnologicalinnovations.Utilizingdatafor100countries,ourempiricalestimatesoffersolidsupportforthenegativeinfluenceofgeneticdistancefromtheglobalfrontieroninnovation.Anumberofsensitivitychecksalsoconfirmthatourfindingsarerobust.Overall,theevidencelendsstrongsupporttothebarrierseffectofgeneticdistancefromthefrontierwherebyitpreventsthediffusionofproductivityenhancinginnovationsacrosscountriesbyaffectingthecountry’scapabilitytoimitateandadoptfrontierinnovationsandtechnologies.
Keywords:
Geneticdistance,Innovation,Economiccomplexity
Introduction
Thispaperseekstobringforthempiricalevidencetohighlightthesignificanceofbarriersthatholdbacktechnologicalinnovationsfromspreadingacrosscountries.Inparticular,itfocusesonhumanbarrierswhicharemeasuredusinggeneticdistancebetweenalaggardcountryandtheglobaltechnologyfrontier.Tothisend,thestudyanalysestheinfluencethatgeneticdistancehasoncountryspecificeconomiccomplexityindex(ECI).Following SweetandEterovicMaggio(2015),weusedECIasproxyofinnovationbecauseanimprovementinECIimpliesthatacountryisimprovingitsproductioncapacityaswellascreatinginnovationthatisessentialforitsprosperity(Hausmannet al.,2013).Moreimportantly,innovationisanaccumulativeprocess,whichisobtainedbyaccumulationofboth“tacit”and“explicit”knowledge;usingpatentasanindicatorofinnovationreflectsonlythe“explicit”componentofinnovativeactivities(Nelson,2005; SweetandEterovicMaggio,2015).Onthecontrary,geneticlinkspromotesprogressiveaccumulationof“tacit”knowledgethroughaseriesofsocialrelationshipsandnetworks.Hence,theimpactofgeneticdistanceoninnovationcouldbemoreeffectivelycapturedthroughECIasameasureoftechnologicalprogresscomparedtoanyotherindicator.
Technologicalinnovationisessentialforsupportingeconomicgrowthanddevelopment(Romer,1986; Lucas,1988).Recently,anumberofstudieshavetriedtoexplorethedeterminantsofinnovationindevelopedaswellasdevelopingcountries(AghionandHowitt,1998; Gulogluet al.,2012; AngandKumar,2014; Chenet al.,2018; Zhouet al.,2019).Someofthesestudiessuggestthatfactorssuchasorganizationalabilityofafirm,resourcesavailableforresearchpurposeandspilloveracrossbusinessentitiesandnationsaswellasqualityofinstitutionsarecrucialforinnovation.Whileotherstudiesarguethatfactorssuchasinterestrates,foreigncapital,anddomesticincomeareimportantdeterminantofinnovation.Despitetheextensiveliterature,thereislackofconsensusonwhatlimitsthediffusionandadaptationofproductivity-improvingtechnologiesacrossdifferentsocieties.
Morerecently,astreamofresearchersoninnovation,suchas Lundvall(1988) and Alvarezet al.(2013) arguethatcreativeandinnovativelearningtakesplacethroughinteractiveactivities.Studiessuchas JovanovicandRob(1989), Ang(2018) and Azis(2019) attributeformulationofnewinnovationtointeractionbetweenagentswithdiversepriorknowledge. CattaniandFerriani(2008) and BueraandOberfield(2016)arguethatsocialnetworksshapeanindividual’sabilitytogeneratecreativeoutcomes. Mejia(2018) usingacasestudyofColombiademonstratesthatindividualsthathavebettercapacitytoengagewithdifferentcomponentsofsocialwebhavebetterchancesofemergingasindustrialentrepreneursintheinitialstageofindustrialization.Likewise, Dudley(2012) findssimilarevidencefortheBritishindustries.However,aseriesofliteratureidentifygeneticlinkasanimportantfactorinformulationofasocialnetworkamongindividuals.Accordingtotheinclusivefitnesstheory(Hamilton,1964),peoplearegenerallyabletodetectthosewhohavesimilartraitsasthemselvesandprefertointeractwiththosethatresemblethemselves.Individualsandsocietiesprefertoformsocialnetworksandtheyarewillingtocooperatewithotherpeopleorgroupsthatsharesimilargenetics.Thisliteraturehighlightsthatgeneticsandaseriesofsocialrelationshipsarehighlyrelated.
Moreover,thereisampleevidencetoshowthatsomecountriesshareclosegeneticlinkswhilethereissignificantgeneticdistancesamongothercountries.Inlinewithinclusivefitnesstheory,countriesthatsharesimilargeneticlinkswithfrontiercountrieswillmostprobablyhavehighlevelsofsocialinteractionandcollaborationwithfrontiercountrieswhichislikelytotransferinnovationmoreeasilytolaggardcountries.Moreover,geneticallylinkedcountriesareexpectedtocooperatemorebecauseofsimilarlanguage,comparablecommercialoperation,commoneconomicandsocialinterest(ChaudhryandIkram,2015).Incontrast,populationswhichareverydifferentgeneticallyfromeachotherinclinetodifferinmanyoftheseattributes,whichcanpotentiallyholdbackthefreeflowoftechnologyandknowledgebecauseitimposescostsonadaptationandimitation.Moreover,alaggardcountrywhichisnotgeneticallyclosetoafrontiercountryislikelytoreceivelesssocialinteractionandcooperationfromfirmsandcitizensofafrontiercountry,andhencetheiroverallinnovationwillbeless.Generally,therecanbealackoftrustbetweenfirmsandcitizensoffrontiercountryandlaggardcountrywhosecitizensdonotsharesimilarculturalandgenetictraits.
Usingtheinsightfromtheaboveliterature,wehypothesizethatdissimilaritiesinthesegeneticattributesbetweensocietieslimitthesharingandcommunicationofnewideas.Limitedflowofideaslowerstheprospectsforlearning,copyingandembracingnewtechnology,therebyservingasanobstacletothedisseminationoftechnologyfromthefrontiertolaggardcountries.Contrarily,countriesthatsharesimilargeneticcharacteristicswiththetechnologyleadercanfacilitatethedisseminationofknowledgemoreeffectivelyasthereismoresignificantinteractionbetweengeneticallysimilarcountriesduetocommonethnicandculturalcharacteristics,languages,beliefsandpractices.Effectivesocialinteractionbetweenfrontierandlaggardcountriesfacilitategreaterflowofideasandinnovationfromthefrontiercountrywhichincreasesproductinnovationinthelaggardcountry.
Usingdataontheindexofeconomiccomplexityfrom2000to2015for100countries,wefindgeneticdistancefromthetechnologicalfrontier(thatis,USA)exertsasignificantnegativeinfluenceoninnovationsacrosscountries.Ourresultsholdevenaftercontrollingformanyothervariableswhicharefoundinfluentialintheliteratureoninnovation.Moreover,additionalanalysisusingcross-countrypaneldatafurtherconfirmtheconsistencyoftheevidenceprovided.Ingeneral,ourresultslendstrongsupporttothenotionthatthediffusionbarriereffectofgeneticdistancefromthefrontierreducesinnovation.
Literaturereview
Geneticdistanceandtechnologicalinnovation
Agrowingnumberofstudiesinvestigatetheunderlyingdriversoftechnologicalinnovation.Theinitialstudiessuggestthatincreasinginvestmentinnewtechnologyisvitaltoensurecontinuousimprovementincountry’stechnologicaladvancement(Schumpeter,1942; Abramovitz,1956; Solow,1956; Romer,1990; Jones,2002; RathandHermawan,2019).Fewstudieshaverecentlyexaminedthecapacityofnationstocreateandmarketaseriesofnewinnovationovertheyears(e.g., Wuet al.,2017; Furmanet al.,2002; FurmanandHayes,2004; HuandMathews,2005).Theinsightfromthisstrandofliteratureisthatinadditiontofinancialandhumanresourcesinvestedininnovation,factorssuchasinnovativeenvironmentinacountry’sindustrialsector,thelinkagebetweencommoninnovativeinfrastructureandstrengthofrelationshipsbetweenanation’sindustrialsectorareessentialforimprovingacountry’screativityandtechnologicaladvances(PorterandStern,2002; FurmanandHayes,2004).
Ontheotherhand,scholarssuchas Lundvall(1988) and SweetandEterovic(2019)highlightthatinnovationpartlytakesplacethroughthetacitlearningprocess.Thesestudiesfurtheremphasizethatcollaboration,aseriesofsocialrelationshipsandsocialnetworksareessentialdriversofthetacitlearningprocess. CattaniandFerriani(2008) arguethatsocialnetworksshapeindividualsabilitytogeneratecreativeoutcomes.However,thereisconclusiveevidenceintheliteraturethatgeneticlinkisacriticaldeterminantofthestrengthofsocialrelationshipsbetweenindividuals.AccordingtoKin-selectiontheory,animalsimprovetheirwellbeingmorebycooperatingwiththeirrelationsthantonon-relations. Hamilton(1964) inananimalstudyshowsthatindividualanimalsidentifycloserelationsthroughanumberofchannelssuchasfamiliarityandimprintingselfonothers. Hamilton(1975) extendedhisstudytohumansanddeducedthatlevelofcooperationbetweenpersonsistoalargeextentdeterminedbygeneticrelatedness.Hamilton’stheoryisgenerallyknownas“inclusive-fitnesstheory.”Morerecently,somestudiesappliedinclusive-fitnesstheorytohumanstudiesandbroadlyfindconclusiveevidencethatindividualsmaximizetheirinclusivefitnessbyengagingwiththosethathavesim