understanding north south technological flows from macro to micro

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Understanding North South technological flows From macro to micro Giorgio Barba Navaretti University of Milan and Centro Studi Luca d’Agliano World Bank, Knowledge Economy Forum VII Ancona June 17, 2008

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Understanding North South technological flows From macro to micro. Giorgio Barba Navaretti University of Milan and Centro Studi Luca d’Agliano World Bank, Knowledge Economy Forum VII Ancona June 17, 2008. Structure of presentation. First and second unbundling: - PowerPoint PPT Presentation

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  • Understanding North South technological flows From macro to microGiorgio Barba NavarettiUniversity of Milan and Centro Studi Luca dAgliano

    World Bank, Knowledge Economy Forum VIIAncona June 17, 2008

  • Structure of presentationFirst and second unbundling:From polarization (from 1750 to 1950) to technology transferChannels of North South transfer:Trade Fdi Increasing emphasis on the role of the firm => Beyond representative agent Third unbundlingFragmentation of productionGeography of technology flows changes

  • First unbundling: markets from production

    Grafico10

    410887

    916866

    1425866

    21641043

    38871242

    691001731

    1261152632

    source: Baldwin and Martin NBER 6904 from Bairoch (1982)

    USA

    UK

    Italy

    China

    India-Pak

    Per Capita Industrialization Levels, 1750-1913 (UK 1900=100)

    Foglio1

    Per Capita Industrialization Levels, 1750-1913 (UK in 1900=100)Composition of North-South Trade, 1955 to 1989

    1750180018301860188019001913North's Exports to South:

    USA49142138691261955197019801989

    UK1016256487100115Manufactures (% of total)73787979

    Italy88810121726South's Exports to North:

    China8664433Fuels (% of total)20336625

    India-Pak7663212Other Primary (% of total)74511821

    Manufactures (% of total)5161553

    Source: Wood (1994), which is based on UNCTAD data and definitions.

    OLS with Lagged and Contemporaneous Spillover Variables

    Domestic Firms

    Backward0.0086*

    (0.0051)

    Forward0.0001

    (0.0027)

    Horizontal0.0040***

    (0.0014)

    Intercept5.2082***

    (0.0876)

    No. of observations10,216

    0.92

    Source: Smarzynska Javorcik (2004)

    Foglio1

    source: Baldwin and Martin NBER 6904 from Bairoch (1982)

    USA

    UK

    Italy

    China

    India-Pak

    Per Capita Industrialization Levels, 1750-1913 (UK 1900=100)

    Foglio2

    Foglio3

  • Second unbundling:ideas from production and markets

    Foglio1

    Per Capita Industrialization Levels, 1750-1913 (UK in 1900=100)Composition of North-South Trade, 1955 to 1989

    1750180018301860188019001913North's Exports to South:

    USA49142138691261955197019801989

    UK1016256487100115Manufactures (% of total)73787979

    Italy88810121726South's Exports to North:

    China8664433Fuels (% of total)20336625

    India-Pak7663212Other Primary (% of total)74511821

    Manufactures (% of total)5161553

    Source: Baldwin and Martin, from Wood (1994).

    Foglio1

    00000

    00000

    00000

    00000

    00000

    00000

    00000

    source: Baldwin and Martin NBER 6904 from Bairoch (1982)

    USA

    UK

    Italy

    China

    India-Pak

    Per Capita Industrilization Levels, 1750-1913 (UK 1900=100)

    Foglio2

    Foglio3

  • Channels for technology transferTradeCoe-Helpman (1995) onwardsKnowledge content of trade

    FDI: analysis of spilloversBlomstrom et al in the 80s on developing countriesBUT MOSTLY IN THE AGGREGATE

  • How to measure quality of trade:e.g. Knowledge content of machinesFrom Barba Navaretti, Schiff and Soloaga, 2006

    Chart2

    101.3537108679105.180221325673.963872906379.509195405796.8995489797

    99.0700231981101.175746228171.654745272577.909269070396.9188672749

    92.562576310896.579592727766.346734950978.752929211892.9429250597

    89.251223623994.291541309365.335329095975.953524446192.8264975003

    79.189885017591.587516079965.107641677872.33895247589.3644576577

    75.688843742193.231246127167.052258031272.780428924191.6918283546

    69.970085178293.496696394765.593335834870.973377530288.3736622329

    Egypt

    Israel

    Morocco

    Tunisia

    Turkey

    Three years moving averages

    Aggregate Unit Value Index (US=100)

    Figure 2aTrends in the Aggregate Unit Value IndexSouthern Mediterranean

    Sheet1

    1989199019911992199319941995199619971989-911990-921991-931992-941993-51994-61995-97

    311Bulgaria167120147881071137771861451191141039987781989-911990-921991-931992-941993-51994-61995-97

    313Bulgaria147214314216122108145141153225248218149125131146

    321Bulgaria1421081201511251168978851241261321311109484Egypt101999389797670

    322Bulgaria1171136262508036363297795864555034Hungary1231059187848177

    341Bulgaria167184106110126101117140166152133114112115119141Israel1051019794929393

    342Bulgaria1481259210361958698941221078586819393Jordan82777474748086

    362Bulgaria94701636079556465341099810164666155Morocco74726665656766

    371Bulgaria26828313811513012387113180230179128123113108127Poland116948480797776

    323324Bulgaria14012214015777671038992134140125100828695Tunisia80787976727371

    331332Bulgaria101138936979586343401111008069675549Turkey97979393899288

    355356Bulgaria108151701029927110175611101089015715714979

    381382384Bulgaria19417718016013717914235967184172159158153226189

    311Egypt92968881836959626992888478706363

    313Egypt79100971006497875712992998787838091

    321Egypt88786968655964645478716764636261Bulgaria14513411711010210597

    322Egypt105959384604850753298917964535852Malta118110120116124129138

    341Egypt13010712811910481477266122118117101776762Romania12311411111211010296

    342Egypt13110274659169526854102807675716358

    362Egypt73546873716356584065657169635951

    371Egypt19928716324518825514710283216232198229196168111

    323324Egypt150617681636794995995727370758784

    331332Egypt646467140656459734765909089636560

    355356Egypt74759076555572666880817462616569

    381382384Egypt1181141038790687077871121029382767278

    311Hungary143.9103.2107.3108.179.691.876.782.577.11181069893838479

    313Hungary1851241101057763100104831401139781808996

    321Hungary118110859682951027660105978891939179

    322Hungary95935265504441363580705653454137

    341Hungary10911410813911392868393110120120114978787

    342Hungary150977679891381328769108848110212011996

    362Hungary132109105658479686942115938576777259

    371Hungary18642114497938589727325022111192898278

    323324Hungary14467907512560899387100779787918189

    331332Hungary23110483997064655153140968478666056

    355356Hungary121897787748189656396847981817872

    381382384Hungary133951041128492831107611110410096869590

    311Israel128103106103888882101891121049993869091

    313Israel12311181124867768941151051059796778093

    321Israel100100116108991049686841061081081041009589

    322Israel17414312414811811897115104147138130128111110105

    341Israel1051241531038310311374107128127113961009798

    342Israel10798104959396908685103999795939187

    362Israel85675461714858625469616260595658

    371Israel117998311110210699946510098991061029986

    323324Israel12971937277741021281109879817485101113

    331332Israel779176988683126828181888789989796

    355356Israel1151038911589959492113102103981009394100

    381382384Israel1131289493819910711994112105899196108107

    311Jordan12610399655959687676109897461626874

    313Jordan112684914771119678370778889112859073

    321Jordan8910685608787831158993847778869595

    322Jordan1229223545067821194279564257668981

    341Jordan981207894739396848798978287879189

    342Jordan13957117888499998279104879690949387

    362Jordan32267145574849263343485850514136

    371Jordan368581868051170965867848272100105108

    323324Jordan77119811271036636122779210910499697578

    331332Jordan59649749436852377173706353545253

    355356Jordan120356151578866545272495766716957

    381382384Jordan111705765616468147397796461636493204

    311Malta127115109686775767380117988270737576

    313Malta7684878612979699230828610198928064

    321Malta1048510990829483959399959389869190

    322Malta111719378194106921141089180122126131104105

    341Malta474860882151438869104526512114914910087

    342Malta200115211135218172273144299175153188175221196239

    362Malta58657570464441937466706453435969

    371Malta127107899917567859066108991211141098080

    323324Malta304119274135124193200299273232176178151172231257

    331332Malta826497865770110846081838071798885

    355356Malta177137183206114193230323174166175168171179249243

    381382384Malta139194123120118140187258344152145120126148195263

    311Morocco91687255555547614777656055525452

    313Morocco91120116167882129976146109134123155133129107

    321Morocco70767470787667675974737475747064

    322Morocco56524652504046524051504947454646

    341Morocco7110210160665162626291887659605962

    342Morocco79666849505656616271615652545860

    362Morocco69557940508676644268585659717560

    371Morocco968810284626366909195918270647382

    323324Morocco55737844596967738969656157656976

    331332Morocco67595053433654362959544844444240

    355356Morocco56665361605673767258605859636874

    381382384Morocco70745454485567616566605252576164

    313Poland1911481099682936878711491189690817972

    321Poland1411221039686857771631221079589827770

    322Poland83624962464945574965585353475150

    341Poland1329587707480806780105847775787676

    342Poland123767560537353696091706262606561

    362Poland161146977776576079601351078370646566

    371Poland1901401071071539713310276146118123119128111104

    323324Poland16110749616544677282106735857596174

    331332Poland11291728480921097210791827985949196

    355356Poland83908373707081667685827571747374

    381382384Poland150156125107969487937514412910999929185

    311Romania288861001007596798078158959290848579

    313Romania245317312910710065897911677103112918477

    321Romania19523412814315611812715890186168142139134134125

    322Romania12811569865678546446104907073636555

    341Romania103916623492274158965687130131200175176104

    342Romania70837560474539514576736151444545

    362Romania746787618892906110076727980908184

    371Romania24123112214232577391164119198165196182265211225

    323324Romania267126122115786569868817212110586717481

    331332Romania911011031061068977755698103105100908070

    355356Romania118213901221029410379101141142104106999294

    381382384Romania13512814715817911811589157137144161151137107120

    311Tunisia91919173616967728491857568666974

    313Tunisia97695371558561768573646070677474

    321Tunisia76887974747571676081807675747166

    322Tunisia50474646484447483448464746464643

    341Tunisia605373133747891706562869395818075

    342Tunisia8563105711138782717084799690948075

    362Tunisia55626656335076413561615246535551

    371Tunisia929510985747394956399968977808784

    323324Tunisia84889474706869818889857971697380

    331332Tunisia8861651071066371935671779292807673

    355356Tunisia119637974746361727687727670666570

    381382384Tunisia1258973807373611078896807575698085

    311Turkey110861181139999708771104106110104898576

    313Turkey17612513316012592117133116145139139126111114122

    321Turkey79747784777589847376787979818382

    322Turkey104908096766570687591898479706871

    341Turkey898512211962886465909910910190717373

    342Turkey85756477667662695675726973686962

    362Turkey80748876617274885981797570697874

    371Turkey1122061198317816513410593146136127142159135111

    323324Turkey1359796106829697139126109100959592111121

    331332Turkey749494125791251059882871049911010310995

    355356Turkey65606267498080818563635965698082

    381382384Turkey9087107978010483817495979594898979

    87

    Sheet1

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    Sheet2

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    Sheet4

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    Sheet6

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    Hungary

    Israel

    Morocco

    Poland

    Tunisia

    Turkey

    Three years moving averages

    Aggregate Unit Value Index (US=100)

    Trends in the Aggregate Unit Value Index

    UVGDPFDI

    Bulgaria97.443399433911.811804.9382367134

    Croatia86.669797951945.84580..

    Czech Rep85.013034711652.152102.4714276791

    Egypt69.97008517821212001.1784979105

    Hungary76.420984725945.145104.5467629433

    Israel93.4966963947161.8161802.758838892

    Jordan86.312632302315.415400.3136284947

    Morocco65.593335834812.612603.5805659294

    Poland74.78976245623838003.6178953648

    Romania96.501657693614.114103.4870836735

    Slovakia88.517930901236.836800.8478360772

    Slovenia90.549774674398.698601.7624932528

    Syria8810.510500.446944356

    Tunisia70.843458034920.820801.6687250137

    Turkey87.34053413923232000.4239555597

    0.3128486941-0.0111774955

    IndexGNPindexgnp/100

    Morocco65.59333583484.343329886265.593335834812.6

    Egypt69.97008517824.136504653669.970085178212

    Tunisia70.84345803497.169941399570.843458034920.8

    Poland74.789762456213.09893140374.789762456238

    Hungary76.420984725915.54636332376.420984725945.1

    Czech Rep85.013034711617.959324370985.013034711652.1

    Croatia86.669797951915.787659427886.669797951945.8

    Turkey87.340534139211.030679076287.340534139232

    Slovakia88.517930901212.685280937688.517930901236.8

    Slovenia90.549774674333.988279903590.549774674398.6

    Israel93.496696394755.773871078993.4966963947161.8

    USA100100100290.1

    0.7207659183

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    GNP Per Capita Index (1997, USA = 100)

    Unit Values Index (av. 1995-97, USA=100)

    Unit Values and GNP per Capita

  • Persistency of the technology gap, 7 years lagFrom Barba Navaretti, Schiff and Soloaga, 2006

  • The firmTrade:Beyond the representative agentStudies by James Tybout and othersSelf selection vs. learning by exporting? What characteristics of the firm strengthen the link between export and productivity?FDI Whats the channel: vertical or horizontal linkages?

  • Be more specific about exports!Productivity growth declines with exports up to an average 38-48% share, then it risesFrom Barba Navaretti, Tucci and Galeotti, 2002

    Export Share in 1999 for a sample of Indian firms (Kernel Density)

    EMBED Word.Picture.8

    _1102769607.doc

    0

    .5

    1

    0

    .5

    1

  • Backward linkages matter

    Foglio1

    Per Capita Industrialization Levels, 1750-1913 (UK in 1900=100)Composition of North-South Trade, 1955 to 1989

    1750180018301860188019001913North's Exports to South:

    USA49142138691261955197019801989

    UK1016256487100115Manufactures (% of total)73787979

    Italy88810121726South's Exports to North:

    China8664433Fuels (% of total)20336625

    India-Pak7663212Other Primary (% of total)74511821

    Manufactures (% of total)5161553

    Source: Wood (1994), which is based on UNCTAD data and definitions.

    OLS with Lagged and Contemporaneous Spillover Variables

    Dependent variable: firm's output

    Domestic Firms

    Backward0.0086*

    (0.0051)

    Forward0.0001

    (0.0027)

    Horizontal0.0040***

    (0.0014)

    Intercept5.2082***

    (0.0876)

    No. of observations10,216

    R20.92

    Source: Smarzynska Javorcik (2004)

    Foglio1

    source: Baldwin and Martin NBER 6904 from Bairoch (1982)

    USA

    UK

    Italy

    China

    India-Pak

    Per Capita Industrilization Levels, 1750-1913 (UK 1900=100)

    Foglio2

    Foglio3

  • Third unbundling: tasks within the firmSpitz, 2004, reproduced from Baldwin, Globalisation, the great unbundling(s), 2006

  • Leads to production fragmentationSource: Oecd, Offshoring and Employment: Trends and Impact, 2007

  • Joint effect of export and imports mattersFrom Tucci, 2005

  • Are technological flows still unidirectional?Acquisition of Jaguar and Land Rover by Tata MotorsChairman Tata: his company will not transfer Jaguar and Land Rover production and component sourcing to developing countries

    BECOMING AN OUTWARD INVESTOR

    China

    FDI flows (Million $ and %)

    1990-2000

    (Annual averages)

    2006

    Inward

    30,104

    69,468

    Outward

    2,195

    16,130

    Outward/Inward

    7,2%

    23,2%

    Developing countries

    Inward and outward stocks (% of GDP)

    2000

    2006

    Inward

    9,6%

    26,7%

    Outward

    4,2%

    13,9%

    Source: Unctad, World Investment Report2007

  • From Cui and Syed (2007)China: using more domestic inputs in exports

  • From Cui and Syed (2007)China: and upgrading export sophistication

  • ConclusionsTechnology transfer strongly affectd by how North/South firms interactUnbundling of production has created extraordinary new opportunities for technology diffusion Technological flows no longer unilateralMany countries or part of countries still excluded

  • References:Baldwin R., 2006, Globalisation, the great unbundling(s), a report prepared for the Finnish Prime Ministers Office;

    Baldwin R. and P. Martin, 1999, Two Waves of Globalisation: Superficial Similarities, Fundamental Differences, NBER Working Paper No. 6904;

    Barba Navaretti G., M. Schiff and I. Soloaga, 2006, Weightless Machines and Costless Knowledge: an Empirical Analysis of Trade and Technology Diffusion, in Microfoundations of International Technology Diffusion, edited by B. Hoekman and B. Smarzynska, Washington: World Bank and Plagrave Macmillan;

    Barba Navaretti G., M. Galeotti and A. Tucci, 2002, Do Not Get Trapped into Crossing: Indian Firms and Foreign Markets, Centro Studi Luca d'Agliano Development Studies Working Paper No. 170;

  • Coe D. and E. Helpman, 1995, International R&D Spillovers, NBER Working Paper No. W4444;

    Cui L. and M. Syed, 2007, The Shifting Structure of Chinas Trade and Production, IMF Working Paper No. 214;

    Oecd, 2007, Offshoring and Employment: Trends and Impact;

    Smarzynska Javorcik B., 2004, Does Foreign Direct Investment Increase the Productivity of Domestic Firms? In Search of Spillovers through Backward Linkages, American Economic Review 94 (3);

    Tucci A., 2005, Trade, Foreign Networks and Performance: a Firm-Level Analysis for India, Centro Studi Luca d'Agliano Development Studies Working Paper No. 199;

    UNCTAD, 2007, World Investment Report.