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Productivity spillovers through labor flows: productivity gap, multinational experience and industry relatedness

Author

Listed:
  • Zsolt Csáfordi

    (Hungarian Academy of Sciences
    Erasmus University Rotterdam)

  • László Lőrincz

    (Hungarian Academy of Sciences
    Corvinus University of Budapest)

  • Balázs Lengyel

    (Hungarian Academy of Sciences
    International Business School
    Massachusetts Institute of Technology)

  • Károly Miklós Kiss

    (Hungarian Academy of Sciences
    University of Pannonia)

Abstract

Labor flows are important channels for knowledge spillovers between firms; yet competing arguments provide different explanations for this mechanism. Firstly, productivity differences between the source and recipient firms have been found to drive these spillovers; secondly, previous evidence suggests that labor flows from multinational enterprises provide productivity gains for firms; and thirdly, industry relatedness across firms have been found important, because industry-specific skills have an impact on organizational learning and production. In this paper, we aim to disentangle the effects of productivity gap, multinational experience and industry relatedness in a common framework. Hungarian employee–employer linked panel data from 2003–2011 imply that the incoming labor from more productive firms is associated with increasing future productivity. The impact of multinational spillovers cannot be confirmed, once productivity differences between the firms are taken into account. Furthermore, we find that flows from related industries outperform the effect of flows from same and unrelated industries even if we control for the effects of productivity gap and multinational spillovers.

Suggested Citation

  • Zsolt Csáfordi & László Lőrincz & Balázs Lengyel & Károly Miklós Kiss, 2020. "Productivity spillovers through labor flows: productivity gap, multinational experience and industry relatedness," The Journal of Technology Transfer, Springer, vol. 45(1), pages 86-121, February.
  • Handle: RePEc:kap:jtecht:v:45:y:2020:i:1:d:10.1007_s10961-018-9670-8
    DOI: 10.1007/s10961-018-9670-8
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    4. O’Clery, Neave & Kinsella, Stephen, 2022. "Modular structure in labour networks reveals skill basins," Research Policy, Elsevier, vol. 51(5).
    5. Lengyel, Balázs & Elekes, Zoltán, 2020. "A külföldi tulajdonú vállalatok és az import szerepe a hazai térségek exportjának diverzifikációjában [Foreign-owned firms and the role of their imports in diversifying Hungarys exports]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(4), pages 352-378.
    6. Nicola Cortinovis & Zhiling Wang & Hengky Kurniawan, 2021. "Industrial Relatedness in MNE Spillovers over Geographical Space," Papers in Evolutionary Economic Geography (PEEG) 2111, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Mar 2021.
    7. Martin Andersson & Davide Castellani & Claudio Fassio & Viroj Jienwatcharamongkhol, 2022. "Leaving the multinational: The likelihood and nature of employee mobility from MNEs," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 53(5), pages 936-949, July.

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    More about this item

    Keywords

    Industry relatedness; Firm productivity; Knowledge spillovers; Labor mobility; Productivity gap; Multinational enterprises; Industry space;
    All these keywords.

    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J60 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - General
    • M51 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Firm Employment Decisions; Promotions

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