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Innovation, productivity and learning induced by export across European manufacturing firms

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  • Agustí Segarra-Blasco
  • Mercedes Teruel
  • Sebastiano Cattaruzzo

Abstract

This paper analyses the links between R&D, innovation, productivity and exports for European manufacturing firms between 2001 and 2014. In comparison with previous studies, we consider the temporal and spatial dimension of learning-by-exporting. By applying a Heckman equation and GSEM methodology, we find a robust self-selection process from productivity to export and export-induced learning effects in terms of length of time and number of markets. Our results show that firms in leader countries are more sensitive to temporal learning, while spatial learning has more influence for firms in less advanced countries. Our results indicate that the export learning has a different impact depending on the innovation position of each country.

Suggested Citation

  • Agustí Segarra-Blasco & Mercedes Teruel & Sebastiano Cattaruzzo, 2022. "Innovation, productivity and learning induced by export across European manufacturing firms," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 31(5), pages 387-415, July.
    • Handle: RePEc:taf:ecinnt:v:31:y:2022:i:5:p:387-415
    DOI: 10.1080/10438599.2020.1823673
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    Cited by:

    1. Saša Petković & Jelica Rastoka & Dragana Radicic, 2023. "Impact of Innovation and Exports on Productivity: Are There Complementary Effects?," Sustainability, MDPI, vol. 15(9), pages 1-22, April.
    2. Jie Ma & Rong Cai & Weifu Zhang, 2023. "Has the Decline in Trade Policy Uncertainty Promoted China’s Agricultural Exports?," Sustainability, MDPI, vol. 15(14), pages 1-14, July.
    3. Josep Tomàs-Porres & Agustí Segarra-Blasco & Mercedes Teruel, 2023. "Export and variability in the innovative status," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 13(2), pages 257-279, June.

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