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Foreign capital and domestic productivity in the Czech Republic: a meta-regression analysis

Author

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  • Mojmir Hampl
  • Tomas Havranek
  • Zuzana Irsova

Abstract

We provide a quantitative synthesis of the literature studying the effect of foreign direct investment (FDI) on the productivity of locally owned firms in the Czech Republic. To this end, we collect 332 previously reported estimates and use Bayesian model averaging to address model uncertainty. We find no evidence of publication bias, i.e. no sign of selective reporting of estimates that are statistically significant and show an intuitive sign. Our results suggest that more advanced techniques yield substantially larger positive effects (FDI spillovers). When placing more weight on estimates that solve important identification problems in the literature (such as using data on existing linkages between firms instead of approximations based on input-output tables), we find that, as of 2018, a 10-percentage-point increase in foreign presence is likely to lift the productivity of domestic firms by 11%. The effect is even larger for joint ventures, reaching 19%.

Suggested Citation

  • Mojmir Hampl & Tomas Havranek & Zuzana Irsova, 2020. "Foreign capital and domestic productivity in the Czech Republic: a meta-regression analysis," Applied Economics, Taylor & Francis Journals, vol. 52(18), pages 1949-1958, April.
  • Handle: RePEc:taf:applec:v:52:y:2020:i:18:p:1949-1958
    DOI: 10.1080/00036846.2020.1726864
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    Citations

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    Cited by:

    1. Zhuanlan Sun & Demi Zhu, 2023. "Investigating environmental regulation effects on technological innovation: A meta-regression analysis," Energy & Environment, , vol. 34(3), pages 463-492, May.
    2. Zigraiova, Diana & Havranek, Tomas & Irsova, Zuzana & Novak, Jiri, 2021. "How puzzling is the forward premium puzzle? A meta-analysis," European Economic Review, Elsevier, vol. 134(C).
    3. Anton Astakhov & Tomas Havranek & Jiri Novak, 2019. "Firm Size And Stock Returns: A Quantitative Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 33(5), pages 1463-1492, December.
    4. Sebastian Gechert & Tomas Havranek & Zuzana Irsova & Dominika Kolcunova, 2022. "Measuring Capital-Labor Substitution: The Importance of Method Choices and Publication Bias," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 45, pages 55-82, July.
    5. Fan, Hongzhong & He, Shi & Kwan, Yum K., 2022. "FDI forward spillover effects in emerging markets: A comparative meta-analysis of China and Eastern Europe," Economic Systems, Elsevier, vol. 46(3).
    6. Matilde Cardoso & Pedro Cunha Neves & Oscar Afonso & Elena Sochirca, 2021. "The effects of offshoring on wages: a meta-analysis," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 157(1), pages 149-179, February.
    7. Tomas Havranek & Anna Sokolova, 2020. "Do Consumers Really Follow a Rule of Thumb? Three Thousand Estimates from 144 Studies Say 'Probably Not'," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 35, pages 97-122, January.
    8. Sarker, Bibhuti & Serieux, John, 2022. "Foreign-invested and domestic firm attributes and spillover effects: Evidence from Brazil," Journal of Multinational Financial Management, Elsevier, vol. 63(C).
    9. Sebastian Gechert & Tomas Havranek & Zuzana Irsova & Dominika Kolcunova, 2022. "Measuring Capital-Labor Substitution: The Importance of Method Choices and Publication Bias," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 45, pages 55-82, July.

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