value chains and the eu experience : what implications for trade policy?
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Value Chains and the EU Experience : what implications for trade policy?. Alessandra TUCCI Chief Economist and Trade Analysis Unit DG Trade European Commission. Outline. Trade in value added and the regional organisation of GVCs FDI and Multinationals operations Further data needed? - PowerPoint PPT PresentationTRANSCRIPT
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Value Chains and the EU Experience: what implications for trade policy?Alessandra TUCCIChief Economist and Trade Analysis UnitDG TradeEuropean Commission
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OutlineTrade in value added and the regional organisation of GVCs
FDI and Multinationals operations
Further data needed?
Discussion: implications for trade and investment policy
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Domestic value added in gross exportsSource: OECD-WTO TiVA
Chart1
0.825019061
0.7610594861
0.8680158639
0.6965237746
0.8581012234
Sh. of domestic value added embodied in gross exports
2008-09 average, %
Value Added embodied in Gross E
0OECD-WTO Trade in Value Added (TIVA)VariableGross exportsDomestic value added embodied in gross exportsTime200520082009CountryAustraliaAustriaBelgiumCanadaChileCzech RepublicDenmarkEstoniaFinlandFranceGermanyGreeceHungaryIcelandIrelandIsraelItalyJapanKoreaLuxembourgMexicoNetherlandsNew ZealandNorwayPolandPortugalSlovak RepublicSloveniaSpainSwedenSwitzerlandTurkeyUnited KingdomUnited StatesBrazilChinaIndiaIndonesiaRussian FederationSouth AfricaRest of the WorldEU27PartnerTotalIndustryTOTAL0-1falsefalsefalsefalsefalse1true1truefalsefalse65Value Added embodied in Gross Exports by Sourcehttp://stats.oecd.org//View.aspx?QueryId=42030&QueryType=Public&Lang=en
Dataset: OECD-WTO Trade in Value Added (TIVA)
PartnerTotal
VariableEXGR: Gross exportsEXGRDVA: Domestic value added embodied in gross exports
Time200520082009200520082009200520082009av_2008_2009
IndustryCountry
TOTAL: TOTALAustralia143683.4232923.8193419125962.3202326.8169355.50.87666564130.86863944350.87558874770.8717921353
Austria137991.5203590159548.993991.4136300120652.40.68113905570.6694827840.75620953830.7075870968
Belgium214302.5304546.2245781.5125663.7189573.6167070.70.58638466650.62247895390.67975295130.648058057
Canada412630.1506881.1368103.1304358.3396690.2291195.80.73760566670.78260996510.79107130580.7861696245
Chile48868.776304.962680.440188.360155.551047.90.82237301180.78835697310.81441567060.8001090763
Czech Republic80309.3139157.211244948341.485284.168980.40.60194024850.61286156950.61343720260.6131188341
Denmark108700.7163948.4129349.775595.6111275.989895.70.69544722340.67872513550.69498189790.685894658
Estonia10805.416894.212454.55289.19849.98037.10.48948673810.58303441420.64531695370.6094648145
Finland79395.4122740.287765.253569.879124.459396.60.67472170930.64464943030.67676710130.6580401263
France537204.5726245.1581822.6401584.7523921432126.70.74754530160.72141071930.74271212570.7308854886
Germany955785.714414191141943.1719451.71059540.3852078.90.75273327480.73506752720.74616581160.7399733858
Greece5444380017.26009241129.959382.646516.60.75546718590.74212294360.77408972910.7558333072
Hungary65028.1113058.688776.733436.961879.352603.60.51419155720.5473205930.59253835750.567209502
Iceland5168.37472.763753038.24705.84228.70.58785287230.62973222530.66332549020.6451973974
Ireland158731.1211541.3195442.785349.4128976.9116582.90.53769803150.60970080070.59650680220.6033647514
Israel57265.281219.767576.43507950386.845946.10.61257098550.62037658350.67991340170.6474154901
Italy415344593019.1452763.6314941.2465334.3371620.20.75826591930.78468686760.8207819710.8003139658
Japan652457.5856173.9636143.5564897.3690004.8541185.50.86579938160.80591664850.85072864850.825019061
Korea331756493727.5414780.1210775.9278752.7250545.60.6353341010.56458815840.60404440810.5826019507
Luxembourg58661.8100894.583606.923670.138945.832977.30.40350108590.38600518360.39443275610.3898241423
Mexico230076.9306978.7243873.9156179.5208991.7167479.80.67881434420.68080195790.68674753630.6834341891
Netherlands333215.5429221.8350478233650.1277951.2231675.10.70119817360.64757009080.66102608440.6536186106
New Zealand30931.940201.832762.124504.130952.126463.70.79219511250.76991826240.80775347120.7869069499
Norway132726.7213246.3152431.4114784.9182953.8130559.70.86482147150.85794595260.85651447140.857349245
Poland112705.9211222.9169953.277544.2147284.7122707.90.68802254360.69729513230.72200994160.7083146084
Portugal53062.68174065490.538831.752443.844799.20.73180922160.64159285540.68405646620.6604813541
Slovak Republic36008.277613.861001.118768.339805.333643.40.52122294370.51286369180.55152120210.5298759369
Slovenia19155.83141824826.712012.920418.117240.20.62711554720.6498854160.69442173140.6695439748
Spain243684353560.5292525.1180417.6273054.2237302.30.74037524010.77229837610.81122030210.7899208712
Sweden168499.2243646183025.8116372.9160891124005.20.69064363510.66034738920.67752852330.6677174353
Switzerland182530.5283707.2254458.8125172.9190314.2176740.60.68576429690.67081202030.69457452440.6820475467
Turkey105558.4174605.6143295.784335.1128832.4113109.40.79894257590.73784804150.78934259720.7610594861
United Kingdom540773.1700927.6557194.7451501.9571900.54626310.83491930350.81591950440.83028607410.8222821422
United States1116938.91622284.71401127.9986068.113828341241536.10.88283083350.85239908880.88609762180.8680158639
Brazil133140.1225270.9176644.8117130.2200714.2161474.60.87975147980.89099035870.91412031380.901156138
China8365231581183.31393189.45345011076001995720.30.63895553380.68050364560.71470562440.6965237746
India161471.1305426.8268229.3128904.6229350.3205333.50.7983137540.75091740480.76551480390.7577428358
Indonesia97387.7152090.5130357.979710.8124151.3111353.70.81848939860.81629884840.85421520290.833798315
Russian Federation268967.1520002.4341584.9243207473109316995.20.90422583280.90982080080.92801291860.9170332478
South Africa67643.898005.377556.955788.275135.164426.30.82473486110.76664323260.83069720420.794939913
Rest of the World1687980.826469432050044.51458804.92388552.81889717.90.86423074240.90238165310.92179360010.9108541805
EU271881119.72753853.12298271.51636176.32345941.11989293.20.86978850950.85187590430.86556057450.8581012234
data extracted on 11 Mar 2013 15:21 UTC (GMT) from OECD.Stat
Dataset: OECD-WTO Trade in Value Added (TIVA)
EXGR: Gross exports
EXGRDVA: Domestic value added embodied in gross exports
data extracted on 11 Mar 2013 15:21 UTC (GMT) from OECD.Stat
Sheet2
Partner
VariablexxSh. of domestic value added embodied in gross exports
Timeav_2008_2009 (%)
IndustryCountry
TOTAL: TOTALAustralia87.2%
xAustria0.7075870968
xBelgium0.648058057
Canada0.7861696245
Chile0.8001090763
xCzech Republic0.6131188341
xDenmark0.685894658
xEstonia0.6094648145
xFinland0.6580401263
xFrance0.7308854886
xGermany0.7399733858
xGreece0.7558333072
xHungary0.567209502
Iceland0.6451973974
xIreland0.6033647514
Israel0.6474154901
xItaly0.8003139658
xJapan0.825019061
Korea0.5826019507
xLuxembourg0.3898241423
Mexico0.6834341891
xNetherlands0.6536186106
New Zealand0.7869069499
Norway0.857349245
xPoland0.7083146084
xPortugal0.6604813541
xSlovak Republic0.5298759369
xSlovenia0.6695439748
xSpain0.7899208712
xSweden0.6677174353
Switzerland0.6820475467
xTurkey0.7610594861
xUnited Kingdom0.8222821422
xUnited States0.8680158639
Brazil0.901156138
xChina0.6965237746
India0.7577428358
Indonesia0.833798315
Russian Federation0.9170332478
South Africa0.794939913
Rest of the World0.9108541805
xxEU270.8581012234
Sh. of domestic value added embodied in gross exports
Slovak Republic53.0%
Hungary56.7%
Ireland60.3%
Czech Republic61.3%
Belgium64.8%
Netherlands65.4%
Finland65.8%
Portugal66.0%
Sweden66.8%
Slovenia67.0%
Denmark68.6%
Austria70.8%
Poland70.8%
France73.1%
Germany74.0%
Spain79.0%
Italy80.0%
EU2785.8%
Sh. of domestic value added embodied in gross exports
Japan82.5%
Turkey76.1%
United States86.8%
China69.7%
EU2785.8%
Sheet2
Sh. of domestic value added embodied in gross exports
Sh. of domestic value added embodied in gross exports(2008-09 average, %)
Sh. of domestic value added embodied in gross exports
(2008-09 average, %)
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Regional GVCs?Many of the GVCs involving EU firms are regional & DE is the main hub
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EU, Turkey and China: proximity matter
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Proximity in production still plays a roleProduction plants of the 100largest car parts suppliers for EU and US
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Motor vehicles: Trade or FDI?
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Light Vehicle Sales by Production RegionLow import penetration across regions..Source: HIS Global Insight
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ASIAEU is a big investor relative to US and Japan.
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Mostly services
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...but manufacturing share is higher than average extra-EU:GVCs?
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There is a limit to what you can ship from Europe: maybe more than we normally think?
to serve far away markets you need to enter the regional value chains
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More data? Trade in VA by ownership?
Data on the ownership of domestic value added produced: how much of the 86% of EU value added is US owned? Asian owned? More important when looking at the single countries
Data on TNCs operations can shed light on this.
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Some potential policy implicationsIf to serve far away markets you need to enter the regional value chains Change of perspective: to be in (Asia) has potentially more value than to trade with (Asia)Defensive concerns are often exaggeratedTrade facilitation is the single most important cross-cutting area that can boost or bust global value chain performanceThe untapped "GVC" value of FTAs lies in services and investment access
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Third parties agreementsIf EU firms are part of the (Asia) value chain EU best interest lies in (Asian) regional integration We have a bigger stake in (Asian) regional integration than we normally thinkFTAs among "strategic partners" may fundamentally alter EU's position in GVCsTPP: a threat or an opportunity for EU companies in the region?
EU27=85.6%Average 2008 and 2009 because there is high variability
*The arrows represent the flows of VA exports between two countries. Only bilateral value-added flows above 2 billion U.S. dollar are plotted.1 For example, an arrow from Germany to Poland indicates that Germanys value-added embodied in Polands exports is above 2 billion U.S dollar.Source: Rahman, and Zhao (2013) "Export Performance in Europe: What Do We Know from Supply Links? " IMF WP no 13/62 http://www.imf.org/external/pubs/cat/longres.aspx?sk=40370.0
*For the US: The radii for the first three quartiles drawn around the location centroid are: 392km, 592km, and 1,280km, respectivelyFor the EU The radii for the first three quartiles drawn around the location centroid are: 315km, 550km, and 950km, respectively.Source: http://revel.unice.fr/eriep/index.html?id=3369*Source: ESTAT FATS for turnover of MNEs and COMEXT for tradeIn the car sector FDI accounts for much more than the exports Japan and India: 90% of sales in these countries comes from local sales very difficult to access the market if you are not there?**We are already very present*JP, IN, HK and China are the only countries for which detailed data are availableIn Asia more than in the rest of the world FDI is manufacturing. Rest of the world more services makes sense because of the nature of services physical presence mode 3*Why Asia more manufacturing? Idea of global / regional value chain In relative terms we are "producing" there more than in closer countries?**