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Diapositiva 1

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The use of trade data at the firm level for the analysis of Global Value Chain (GVC) WPTGS Part II Trade, Globalisation and competitiveness – PowerPoint PPT presentation

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Title: Diapositiva 1


1
The use
of trade data at the firm level for the analysis
of Global Value Chain (GVC) WPTGS Part II
Trade, Globalisation and competitiveness 6
October 2010 OECD, Paris
Natale Renato Fazio, Stefano Menghinello, Carmela
Pascucci and Carla Sciullo Foreign trade and
multinational enterprises statistics
Division ISTAT ITALY
2
Structure of this presentation
.Global Value Chains (GVS) have emerged as a new
analytical framework for a better understanding
of the Globalisation of the industrybut can
we measure them? HOW FOREIGN TRADE DATA AT THE
FIRM LEVEL CAN CONTRIBUTE TO A QUANTITATIVE AND
IN DEPTH ASSESSMENT OF GVCs?
  • List of issues covered by this presentation
  • The measurement issue in GVC analysis
  • The role played by foreign trade aggregated
    figures versus firm level data
  • Is it feasible to develop GVC analysis using firm
    level foreign trade data?
  • Some empirical examples
  • Conclusions

3
The measurement issue in GVC analysis
  • Global Value chain (GVC) has emerged in the
    business literature as a new analytical
    framework. It clearly shows that not only
    multinational enterprises (MNEs) but also
    specialised suppliers are key actors of global
    production fragmentation
  • It is closely linked to the globalisation of
    production filieres, international networks of
    production, etc. Indeed, this concept is very
    sophisticated and complex, since it also includes
    dimensions like market power, global governance,
    etc
  • It is an intrinsically dynamic and genuinely
    firm level concept companies compete by
    continuously reshaping their position inside GVC
  • Measurement of GVC is still an open issue.
    Aggregated indicators are based on foreign trade
    data and input output tables. Much of the firm
    level empirical evidence is based on qualitative
    assessment (case studies) or is model based with
    weak proxy variables.

4
The role played by foreign trade aggregated
figures versus firm level data
  • International trade data play a crucial role as
    aggregated figures in the development of GVC
    indicators
  • These indicators are based on intra-industry
    trade, intra-firm trade, intermediates trade,
    trade unit values.
  • However, these aggregated indicators cannot
    support more analytical and complex analysis
    addressing strategic issue like moving up in a
    GVC
  • Firm level foreign trade data can support more
    complex and flexible analysis of GVC based on a
    trade operator perspective
  • In particular, trade operator data are very
    detailed (single transaction data including good
    characteristics, partner country) and can be
    linked to business characteristics (business
    register) and economic performance indicators
    (Structural business statistics micro-data).
    Information on the foreign trade operator non
    resident partner is also a crucial asset to
    improve our knowledge of GVC
  • The analysis of GVC exclusively based on
    foreign trade operators data is limited to a
    truncated production network where a resident
    company is engaged in trade linkages with foreign
    companies only as direct GVC partners.

5
Is it feasible to develop GVC analysis using firm
level foreign trade data?
  • Most EU member states have already developed
    figures on trade operator business
    characteristics. There is an ongoing Eurostat
    project with the goal of harmonising and
    expanding figures on business characteristics of
    trade operators. Some key non EU OECD countries,
    like US, have already developed similar figures.
  • The basic framework to develop these new figures,
    based on the link between the trade operators
    register and the business register on all active
    resident companies, is usually available in most
    OECD countries.
  • Further information can be exploited from this
    framework and finalised to the analysis of Global
    Value Chains
  • A short-medium term goal can be the development
    of new figures on trade operators characteristics
    finalised to measure companies potentially
    engaged in GVCs This is essentially a data
    reclassification problem
  • A long term goal will involve more analytical
    analyses of firm level foreign trade data
    addressing issues like market power and moving
    up in a value chain

6
Some empirical examples
  • The project is still at a very preliminary stage
    of development. So no robust analytical or
    policy implications can be inferred from what
    folllows. However, preliminary empirical results
    seem to be very interesting and can represent a
    relevant asset for the empirical analysis of GVC
  • As a first step, we have essentially
    reclassified trade operators linked to business
    register characteristics grouping trade flows by
    MIG. Different business profiles of trade
    operators emerge from this analysis based on
    trade characteristics from both export and import
    sides.
  • We focus on medium and large size companies (50
    plus person employed) actively engaged in
    external trade of intermediate goods from both
    exports and imports. We assume that these
    companies are potentially engaged in GVC
  • We further expand this very preliminary analysis
    based on the dynamic of firm level export and
    import unit values for a sample of companies
    potentially engaged in GVC.

7
Italian medium and large size firms potentially
engaged in Global value chains ( companies
active in trade of intermediate goods from both
exports and imports as a share of total M-L size
companies active in exports trade)
8
Large and Medium size Italian firms active in
trade in intermediate goods by number of foreign
resident trade partners (intra-EU trade only)
9
Firm level dynamic of export and import unit
values for a sample of Italian LM size firms
potentially engaged in GVS (unit value of the
combined nomenclature code that is dominant from
the export side in firm level trade of
intermediate goods)
10
Firm level dynamic of export and import unit
values for a sample of Italian LM size firms
potentially engaged in GVS (unit value of the
combined nomenclature code that is dominant from
the export side in firm level trade of
intermediate goods)
11
Conclusions
  • Firm level foreign trade trade can significantly
    contribute to the empirical analysis of global
    value chains.
  • Most OECD countries have already set up a
    statistical framework for the production of
    statistics on trade operators business
    characteristics.
  • Based on an agreed methodology, additional
    figures focusing on companies potentially engaged
    in GVC can be easily developed from this
    framework as a data reclassification work
  • More analytical work can be done based on firm
    level trade data in order to explore complex
    issues like moving up in a GVC
  • Further developments in this area will include
    additional linkages between the register of
    foreign trade operators with both national based
    (SBS data and economic accounts from
    administrative data sources) and international
    data sources (for instance ORBIS for foreign
    resident trade partner characteristics and
    performance indicators). So we can link firm
    level trade data (including unit values) with
    value added.........
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