技术创新面临的障碍外文文献翻译.docx

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技术创新面临的障碍外文文献翻译.docx

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技术创新面临的障碍外文文献翻译.docx

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

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