global value chains and professional networksto analyze four of the most dynamic industries.docx
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global value chains and professional networksto analyze four of the most dynamic industries.docx
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globalvaluechainsandprofessionalnetworkstoanalyzefourofthemostdynamicindustries
AbundantmagmaticzircondetrituswithconcordantU–PbGrenvillianandPan-Africanages,togetherwithaccompanyingvariousεHf(t)values,indicateanexoticprovenanceforthequartzareniteexternaltotheSouthChinablock.QualitativecomparisonsofagespectraforthelateNeoproterozoicsedimentsoftheCathaysianBlock,earlyPaleozoicsedimentsofpre-riftTethyanHimalayasequenceinNorthIndiaandlowerPaleozoicsandstonefromthePerthBasininWestAustralia,showthattheyallhavetwothelargestageclustersrepresentingGrenvillianandPan-Africanorogenicepisodes.TheresemblanceoftheseagespectraandzircontypologysuggeststhatthemostlikelysourcefortheLowerDevonianquartzarenitesoftheSouthChinablockwastheEastAfricanOrogenandKuungaOrogenfortheirearlyGrenvillianandPan-Africanpopulations,whereastheHannan–Panxiarc,Jiangnanorogen,andtheYangtzeblockbasementsmighthavecontributedtothedetritalzircongrainsoftheNeoproterozoicandPre-Grenvillianages.HfisotopicdataindicatethatthecrustalevolutionofthedrainageareamatcheswellwiththeepisodiccrustgenerationofGondwana.TheseresultsimplythatthepreviouslysuggestedpositionoftheSCBinGondwanashouldbere-evaluated,andtheSouthChinablockshouldbelinkedwithNorthIndiaandWestAustraliaasapartofEastGondwanaduringtheassemblyofGondwana,ratherthanadiscretecontinentblockinthepaleo-Pacific.
ArticleOutline
1.Introduction
2.Geologicalbackground
3.Analyticalmethods
3.1.U–Pbdating
3.2.Lu–Hfisotopeanalysis
4.Results
4.1.ZirconU–Pbgeochronology
4.2.Hfisotopegeochemistry
5.Discussion
5.1.Sourcesofdetritalzircons
5.2.PositionoftheSBC
6.Conclusions
Acknowledgements
AppendixA.Supplementarydata
References
29
CatchingupTrajectoriesintheWineSector:
AComparativeStudyofChile,Italy,andSouthAfrica OriginalResearchArticle
WorldDevelopment,Volume38,Issue11,November2010,Pages1588-1602
LuciaCusmano,AndreaMorrison,RobertaRabellotti
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AbstractAbstract|Figures/TablesFigures/Tables|ReferencesReferences
Summary
Fromadevelopmentperspectiveaninvestigationofthechangesthathaveoccurredinthewineindustryisofparticularinterestbecauseitprovidesevidenceonhowemergingeconomieshavebeenabletoacquiresignificantsharesoftheinternationalmarketinadynamicsector.Basedonnovelempiricalevidence,thispapershowsthatemergingcountrieswithdiverseinstitutionalmodelsandinnovationstrategieshaveactivelyparticipatedintheprocessoftechnologicalmodernizationandproductstandardization.Thesenewcomersinthewinesectorhaverespondedparticularlyeffectivelytochangesindemand,aligningemergingscientificapproacheswithinstitutionalbuildingeffortsandsuccessfulmarketingstrategies.
ArticleOutline
1.INTRODUCTION
2.THECONCEPTUALFRAMEWORK
(a).CatchingupandtheSectoralSystemofInnovationframework
(b).Thesectoralsystemapproach
3.THEUPSURGEOFTHENEWWORLDINTHEINTERNATIONALWINEMARKET
4.THECOMPARATIVEANALYSIS
(a).Somebackgroundinformation
(b).Sourcesofinformationanddata
5.THEFOURDIMENSIONSOFTHEWINESECTORALSYSTEM
(a).Demand
(b).Knowledgebaseandinnovation
(i).Scienceandresearchers
(ii).Innovationandfirms
(c).Actorsandnetworks
(d).Theinstitutionalframework
6.CONCLUSIONS
Acknowledgements
AppendixA
References
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30
TheimportanceofdrywoodlandsandforestsinrurallivelihoodsandpovertyalleviationinSouthAfrica ReviewArticle
ForestPolicyandEconomics,Volume9,Issue5,January2007,Pages558-577
CharlieM.Shackleton,SheonaE.Shackleton,ErikBuiten,NeilBird
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AbstractAbstract|Figures/TablesFigures/Tables|ReferencesReferences
Abstract
Indigenousforestsandsavannas,alongwithplantationforests,offernumerousbenefitstoruralcommunitiesandsocietyatlarge.Yet,theroleofforestsandforestryincontributingtosustainablelivelihoodsandpovertyalleviationarewidelydebated.However,muchofthedebatepertainstolessonsfromthehumidtropics,withlittleconsiderationofthewidespreaddryforestsandsavannas.Thispaperconsiderstheroleofdryforesttypes,includingsavannas,usingSouthAfricaasacaseexample.Itconcludesthatalargeproportionofthepopulationmakesuseofforestsandtheresourcesfromthem.Thesearevitalcomponentsoflocallivelihoods,whichprobablypreventpeoplefromslippingintodeeperpoverty.Moreover,forameasurableproportion,engagementininformalforestactivities,aswellastheformalforestrysector,hasresultedinthembeingabletomoveoutofpoverty.Additionally,thegenerallydrynatureofforestsinSouthAfrica,coupledwiththehighunemploymentrate,limittheextentofalternativelocallybasedlivelihoodoptions,therebymagnifyingthecontributionsfromforestsandforestproducts.ThedepressingeffectsofwidespreadHIV/AIDSonlabouravailability,economicactivitiesandlivelihoodshasexacerbatedpeoples'dependenceonforestproducts.
ArticleOutline
1.Introduction
2.Terminology
3.Thecontributionofforeststorurallivelihoods:
anoverviewofinternationalperspectives
4.AprofileofruralpovertyinSouthAfrica
5.AprofileoftheforestresourceinSouthAfrica
6.ThecontributionofforeststorurallivelihoodsinSouthAfrica
6.1.Benefitsstreamswithintotallivelihoods
6.2.Subsistencegoods
6.2.1.Supplyofbasicneeds
6.2.2.Cashsaving
6.2.3.Safety-netfunctionsofforestgoods
6.3.Small-scaletradeinforestgoodsandforestproductenterprises
6.3.1.Incomefromtradeinforestgoods
6.3.2.Otherbenefitsfromtradeinforestgoods
6.4.Formalsectorforestactivities
6.4.1.Tourismenterprises
6.4.2.Forestproductsindustries
6.4.3.Benefitsfromemployment
6.5.Culturalandspiritualbenefits
7.PeculiaritiesoftheSouthAfricansituation
8.Conclusions
Acknowledgements
References
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31
Internalisationofexternalcostinthepowergenerationsector:
AnalysiswithGlobalMulti-regionalMARKALmodel OriginalResearchArticle
EnergyPolicy,Volume35,Issue2,February2007,Pages828-843
PeterRafaj,SocratesKypreos
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AbstractAbstract|Figures/TablesFigures/Tables|ReferencesReferences
Abstract
TheGlobalMARKAL-Model(GMM),amulti-regional“bottom-up”partialequilibriummodeloftheglobalenergysystemwithendogenoustechnologicallearning,isusedtoaddressimpactsofinternalisationofexternalcostsfrompowerproduction.Thismodellingapproachimposesadditionalchargesonelectricitygeneration,whichreflectthecostsofenvironmentalandhealthdamagesfromlocalpollutants(SO2,NOx)andclimatechange,wastes,occupationalhealth,riskofaccidents,noiseandotherburdens.Technologiesallowingabatementofpollutantsemittedfrompowerplantsarerapidlyintroducedintotheenergysystem,forexample,desulphurisation,NOxremoval,andCO2scrubbers.Themodellingresultsindicatesubstantialchangesintheelectricityproductionsysteminfavourofnaturalgascombinedcycle,nuclearpowerandrenewablesinducedbyinternalisationofexternalcostsandalsoefficiencylossduetotheuseofscrubbers.StructuralchangesandfuelswitchingintheelectricitysectorresultinsignificantreductionofemissionsofbothlocalpollutionandCO2overthemodelledtimeperiod.StrongdecarbonisationimpactofinternalisinglocalexternalitiessuggeststhatancillarybenefitscanbeexpectedfrompoliciesdirectlyaddressingotherissuesthenCO2mitigation.Finally,thedetailedanalysisofthetotalgenerationcostofdifferenttechnologiespointsoutthatinclusionofexternalcostinthepriceofelectricityincreasescompetitivenessofnon-fossilgenerationsourcesandfossilpowerplantswithemissioncontrol.
ArticleOutline
1.Introduction
2.Descriptionofthemodellingframework
3.Externalcostspecification
3.1.TreatmentofexternalcostsinMARKALmodel
4.Scenariosanalysed
5.Results
5.1.Systemchanges
5.1.1.Electricityproduction
5.1.2.Primaryenergyconsumption
5.1.3.Finalenergydemand
5.2.Environmentalimpacts
5.2.1.Emissionsoflocalairpollutants(SO2/NOx)
5.2.2.GlobalCO2emissions
5.3.Costimpacts
5.3.1.Electricitygenerationcostanalysis
5.3.2.Totalsystemcost
6.Conclusions
Acknowledgements
AppendixI.Calculationoftheelectricitygenerationcost
AppendixII.Region-specificexternalcostin¢/kWh
References
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32
Matchingplantflexibilityandsupplierflexibility:
LessonsfromsmallsuppliersofU.S.manufacturingplantsinIndia OriginalResearchArticle
JournalofOperationsManagement,Volume25,Issue3,April2007,Pages717-735
BalramAvittathur,PaulSwamidass
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AbstractAbstract|Figures/TablesFigures/Tables|ReferencesReferences
Abstract
Thisisastudyabouttheflexibilityofmanufacturersandtheirsmallsuppliers;asubjectofgrowinginteresttoday(Swafford,P.M.,Ghosh,S.,Murthy,N.,2006.Theantecedentsofsupplychainagilityofafirm:
Scaledevelopmentandmodeltesting,JournalofOperationsManagement24
(2),170–188.)ThestudyisbasedonempiricaldatacollectedfromU.S.manufacturingplantsoperatinginIndiaandtheirsmallsuppliers.Whileglo
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