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Exporters’ product vectors across markets

Author

Listed:
  • Lionel Fontagné

    (PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, CEPII - Centre d'Etudes Prospectives et d'Informations Internationales - Centre d'analyse stratégique)

  • Angelo Secchi

    (PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Chiara Tomasi

    (UNITN - Università degli Studi di Trento = University of Trento)

Abstract

The paper provides an original empirical approach to investigate multi-product firms' export patterns across destinations by considering the whole mix of products exported by a firm, formally defined as a product-vector. The proposed methodology allows to take into account a firm's choice of both exporting and non-exporting a product to a destination and to consider different forms of product complementarity that can generate product combinations. The empirical analysis uses a panel of transactions level data for the universe of Italian and French firms and complements the existing evidence along a few dimensions. First, we show that there is a high level of sparsity: selection of products at destination is indeed very severe. Second, we document that firms export several different combinations of product vectors across markets. Relatedly a high level of diversity is detected also when considering the intensive margin, pointing to a substantial departure from a stable global product hierarchy. Finally, we provide evidence that at the same time there exists a stable component in firms' product vectors across destinations composed by products which are not necessarily the most important in terms of sales, suggesting rich form of complementarities across goods. Products belonging to this stable component are less likely to be discarded as a consequence of an exogenous shock such as the dismantling of the MFA quotas after accession of China to the WTO.

Suggested Citation

  • Lionel Fontagné & Angelo Secchi & Chiara Tomasi, 2018. "Exporters’ product vectors across markets," Post-Print hal-01870888, HAL.
  • Handle: RePEc:hal:journl:hal-01870888
    DOI: 10.1016/j.euroecorev.2018.08.002
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    References listed on IDEAS

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    7. Lionel Fontagn'e & Francesca Micocci & Armando Rungi, 2024. "The heterogeneous impact of the EU-Canada agreement with causal machine learning," Papers 2407.07652, arXiv.org, revised Jul 2024.
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    9. Jackie M.L. Chan & Michael Irlacher & Michael Koch, 2022. "Multiproduct Mergers and the Product Mix in Domestic and Foreign Markets," Economics working papers 2022-03, Department of Economics, Johannes Kepler University Linz, Austria.
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    11. Francesca Micocci & Armando Rungi, 2021. "Predicting Exporters with Machine Learning," Working Papers 03/2021, IMT School for Advanced Studies Lucca, revised Jul 2021.
    12. Mundt, Philipp, 2021. "The formation of input–output architecture: Evidence from the European Union," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 89-104.
    13. Michael Irlacher, 2022. "Multi-product Firms in International Economics," Economics working papers 2022-01, Department of Economics, Johannes Kepler University Linz, Austria.
    14. Min Zhu & Chiara Tomasi, 2020. "Firms' imports and quality upgrading: Evidence from Chinese firms," The World Economy, Wiley Blackwell, vol. 43(5), pages 1371-1397, May.
    15. Kotowicz, Janusz & Brzęczek, Mateusz, 2019. "Comprehensive multivariable analysis of the possibility of an increase in the electrical efficiency of a modern combined cycle power plant with and without a CO2 capture and compression installations ," Energy, Elsevier, vol. 175(C), pages 1100-1120.
    16. Luca Macedoni & Rui Zhang & Frederic Warzynski, 2024. "Fight or Flight? How Do Firms Adapt Their Product Mix in Response to Demand and Competition," CESifo Working Paper Series 11144, CESifo.
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    18. Jean‐Charles Bricongne & Sebastian Franco Bedoya & Margarita Lopez Forero, 2023. "The proximity‐concentration trade‐off with multi‐product firms: Are exports and FDI complements or substitutes?," The World Economy, Wiley Blackwell, vol. 46(5), pages 1264-1289, May.
    19. Min Zhu & Chiara Tomasi, 2021. "Firms’ imports and quality upgrading: evidence from Chinese firms," DEM Working Papers 2021/02, Department of Economics and Management.
    20. Flora Bellone & Cilem Selin Hazir & Toshiyuki Matsuura, 2022. "Adjusting to China competition: Evidence from Japanese plant‐product‐level data," Review of International Economics, Wiley Blackwell, vol. 30(3), pages 732-763, August.
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    More about this item

    Keywords

    fickleness; stability; product vectors; sparsity; multi-product multi-country firms;
    All these keywords.

    JEL classification:

    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • L22 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Organization and Market Structure

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