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Are Export Premia Robust to Innovation Statistics ?

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Abstract
This paper analyses in what extent innovation contributes to the productivity premium of exporters. We start by performing non parametric tests on TFP distributions on different groups of firms characterized by their export and innovation behavior. We show that the TFP distributions of exporters and innovators stochastically dominate those of non exporters and of non innovators, respectively. We pursue with OLS regressions and show that the export premium, defined as the productivity advantage of exporters over non-exporters, is robust to the introduction of innovation statistics. We conclude that export and innovation each have specific mechanisms in their relationship with productivity. The contribution of innovation abilities remains however small: once controlled for the firm size, its ownership, and its innovation abilities, the residual export premium is still around 3%. Two additional results are found. First, both process and product innovations are associated with higher productivity when process innovation is strictly defined. Second, when accounting for distance to export markets, the export premium remains significant for global exporters only, whereas that of intra-Europe exporters vanishes. From these findings, we conclude that, beyond innovative abilities and mere size advantage, specific export-related competencies, such as specific managerial competencies or specific human capital, takes an important part in the success of Global exporters.
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  • Flora Bellone & Sarah Guillou & Lionel Nesta, 2009. "Are Export Premia Robust to Innovation Statistics ?," Documents de Travail de l'OFCE 2009-15, Observatoire Francais des Conjonctures Economiques (OFCE).
    • Handle: RePEc:fce:doctra:0915
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    References listed on IDEAS

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    1. Movahedi, Mohammad & Shahbazi, Kiumars & Gaussens, Olivier, 2017. "Innovation and willingness to export: Is there an effect of conscious self-selection?," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 11, pages 1-22.
    2. Bellone, Flora & Kiyota, Kozo & Matsuura, Toshiyuki & Musso, Patrick & Nesta, Lionel, 2014. "International productivity gaps and the export status of firms: Evidence from France and Japan," European Economic Review, Elsevier, vol. 70(C), pages 56-74.
    3. Francesco Aiello & Fernanda Ricotta, 2014. "Firm heterogeneity in productivity across Europe. What explains what?," ERSA conference papers ersa14p808, European Regional Science Association.
    4. Fernanda Ricotta, 2016. "Productivity Differences By Export Destination," Working Papers 201601, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
    5. Mohammad Movahedi & Olivier Gaussens, 2011. "Innovation, productivité et exportation : Y-a-t-il un effet d'auto-sélection consciente? Une étude empirique sur les PMI de basse-Normandie," Economics Working Paper Archive (University of Rennes & University of Caen) 201123, Center for Research in Economics and Management (CREM), University of Rennes, University of Caen and CNRS.
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    7. Fernanda Ricotta, 2019. "The Quality of Regional Government and Firm Performance," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 11(2), pages 27-40, February.
    8. Movahedi, Mohammad & Gaussens, Olivier, 2011. "Innovation, productivity, and export: Evidence from SMEs in Lower Normandy, France," MPRA Paper 40443, University Library of Munich, Germany, revised 07 Jun 2012.

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    JEL classification:

    • F1 - International Economics - - Trade
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F32 - International Economics - - International Finance - - - Current Account Adjustment; Short-term Capital Movements
    • F4 - International Economics - - Macroeconomic Aspects of International Trade and Finance

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