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Learning to import from your peers

Author

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  • Bisztray, Márta
  • Koren, Miklós
  • Szeidl, Adam

Abstract

We use firm-level data from Hungary to estimate knowledge spillovers in importing through fine spatial and managerial networks. By identifying from variation in peers' import experience across source countries, by comparing the spillover from neighboring buildings with a cross-street placebo, and by exploiting plausibly exogenous firm moves, we obtain credible estimates and establish three results. (1) There are significant knowledge spillovers in both spatial and managerial networks. Having a peer which has imported from a particular country more than doubles the probability of starting to import from that country, but the effect quickly decays with distance. (2) Spillovers are heterogeneous: they are stronger when firms or peers are larger or more productive, and exhibit complementarities in firm and peer productivity. (3) The model-implied social multiplier is highly skewed, implying that targeting an import-encouragement policy to firms with many and productive neighbors can make it 26% more effective. These results highlight the benefit of firm clusters in facilitating the diffusion of business practices.

Suggested Citation

  • Bisztray, Márta & Koren, Miklós & Szeidl, Adam, 2018. "Learning to import from your peers," Journal of International Economics, Elsevier, vol. 115(C), pages 242-258.
  • Handle: RePEc:eee:inecon:v:115:y:2018:i:c:p:242-258
    DOI: 10.1016/j.jinteco.2018.09.010
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    3. Gábor Békés & Péter Harasztosi, 2020. "Machine imports, technology adoption, and local spillovers," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 156(2), pages 343-375, May.
    4. Kenan Huremovi'c & Federico Nutarelli & Francesco Serti & Fernando Vega-Redondo, 2024. "Learning Trade Opportunities through Production Network," Papers 2405.13422, arXiv.org.
    5. Kim, Jun Sung & Patacchini, Eleonora & Picard, Pierre M. & Zenou, Yves, 2017. "Urban Interactions," Working Paper Series 1192, Research Institute of Industrial Economics.
    6. Louise Guillouet & Amit Khandelwal & Rocco Macchiavello & Madhav Malhotra & Matthieu Teachout, 2021. "Language Barriers in Multinationals and Knowledge Transfers," NBER Working Papers 28807, National Bureau of Economic Research, Inc.
    7. Jun Sung Kim & Eleonora Patacchini & Pierre M. Picard & Yves Zenou, 2023. "Spatial interactions," Quantitative Economics, Econometric Society, vol. 14(4), pages 1295-1335, November.
    8. Jamal Ibrahim Haidar, 2022. "Internalization of externalities in international trade," Empirical Economics, Springer, vol. 63(1), pages 469-497, July.
    9. Jackie M. L. Chan & Huanhuan Zheng, 2022. "FDI on the move: cross-border M&A and migrant networks," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 158(3), pages 947-985, August.
    10. Yibo Qiao & Nicola Cortinovis & Andrea Morrison, 2024. "MNE Spillovers and Local Export Dynamics in China: The Role of Relatedness and Forward-Backward Linkages," Papers in Evolutionary Economic Geography (PEEG) 2415, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised May 2024.
    11. Jackie M. L. Chan & Chih‐Sheng Hsieh, 2022. "Cross‐border networks and knowledge spillovers for foreign entry," Economic Inquiry, Western Economic Association International, vol. 60(4), pages 1730-1756, October.
    12. Spray, J., 2101. "Search Externalities in Firm-to-Firm Trade," Cambridge Working Papers in Economics 2108, Faculty of Economics, University of Cambridge.
    13. Hempfing, Alexander & Mundt, Philipp, 2022. "Tie formation in global production chains," BERG Working Paper Series 181, Bamberg University, Bamberg Economic Research Group.
    14. Laws, A., 2020. "Localised employment spillovers," Cambridge Working Papers in Economics 2067, Faculty of Economics, University of Cambridge.
    15. Bai, Xue & Hong, Shengjie & Wang, Yaqi, 2021. "Learning from processing trade: Firm evidence from China," Journal of Comparative Economics, Elsevier, vol. 49(2), pages 579-602.
    16. Vasvári, Tamás & Danka, Sándor & Hauck, Zsuzsanna, 2019. "Termelés és innováció - tanulságok a hazai iparpolitika számára [Manufacturing and innovation - lessons for Hungarian industry policy]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(10), pages 1031-1055.

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    More about this item

    Keywords

    Imports; Peer effects; Spatial spillovers; Manager networks; Social multiplier; JEL codes:; F14; R32; D22;
    All these keywords.

    JEL classification:

    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • R32 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Other Spatial Production and Pricing Analysis
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis

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