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Co-worker networks, labour mobility, and productivity growth in regions

Author

Listed:
  • Balazs Lengyel

    (Institute of Economics - Centre for Economic and Regional Studies - Hungarian Academy of Sciences)

  • Rikard Eriksson

    (Department of Geography and Economic History, Umea University)

Abstract
This paper provides a new empirical perspective for analysing the role of social networks for an economic geography approach on regional economic growth by constructing large-scale networks from employee-employee co-occurrences in plants in the entire Swedish economy 1990-2008. We calculate the probability of employee-employee ties at plant level based on homophily-biased random network assumptions and trace the most probable relations of every employee over the full period. Then, we look at the inter-plant ties for the 1995-2008 period because the network is already well developed after five years of edge construction. We argue that these personal acquaintances are important for local learning opportunities and consequently for regional growth. Indeed, the estimated panel Vector Autoregressive models provide the first systematic evidence for a central claim in economic geography: social network density has positive effect on regional productivity growth. The results are robust against removing the old and therefore weak ties from the network. Interestingly, the positive effect of density on growth was found in a segment of the co-worker network as well, in which plants have never been linked by labour mobility previously.

Suggested Citation

  • Balazs Lengyel & Rikard Eriksson, 2015. "Co-worker networks, labour mobility, and productivity growth in regions," CERS-IE WORKING PAPERS 1550, Institute of Economics, Centre for Economic and Regional Studies.
    • Handle: RePEc:has:discpr:1550
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    4. Jacob Rubæk Holm & Bram Timmermans & Christian Richter Østergaard & Alex Coad & Nicola Grassano & Antonio Vezzani, 2020. "Labor mobility from R&D-intensive multinational companies: implications for knowledge and technology transfer," The Journal of Technology Transfer, Springer, vol. 45(5), pages 1562-1584, October.
    5. Tamás Lahdelma, 2022. "Localized labor flow networks in knowledge‐intensive industries," Journal of Regional Science, Wiley Blackwell, vol. 62(5), pages 1414-1441, November.
    6. Marola, Elena & Schöpfner, Judith & Gallemore, Caleb & Jespersen, Kristjan, 2020. "The bandwidth problem in telecoupled systems governance: Certifying sustainable winemaking in Australia and Chile," Ecological Economics, Elsevier, vol. 171(C).
    7. Hamadneh, Jamil & Duleba, Szabolcs & Esztergár-Kiss, Domokos, 2022. "Stakeholder viewpoints analysis of the autonomous vehicle industry by using multi-actors multi-criteria analysis," Transport Policy, Elsevier, vol. 126(C), pages 65-84.
    8. Anna Baranowska-Rataj & Zoltán Elekes & Rikard Eriksson, 2021. "Escaping from Low-Wage Employment: The Role of Co-worker Networks," CERS-IE WORKING PAPERS 2123, Institute of Economics, Centre for Economic and Regional Studies.
    9. Sandor Juhasz & Zoltan Elekes & Virag Ilyes & Frank Neffke, 2024. "Colocation of skill related suppliers – Revisiting coagglomeration using firm-to-firm network data," Papers in Evolutionary Economic Geography (PEEG) 2416, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised May 2024.
    10. Rodríguez-Pose, Andrés & Eriksson, Rikard, 2017. "Job-related Mobility and Plant Performance in Sweden," CEPR Discussion Papers 12018, C.E.P.R. Discussion Papers.
    11. Adam Whittle & Balázs Lengyel & Dieter F. Kogler, 2020. "Understanding Regional Branching Knowledge Diversification via Inventor Collaboration Networks," Papers in Evolutionary Economic Geography (PEEG) 2006, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Feb 2020.
    12. Lara Agostini & Federico Caviggioli & Francesco Galati & Barbara Bigliardi, 2020. "A social perspective of knowledge-based innovation: mobility and agglomeration. Introduction to the special section," The Journal of Technology Transfer, Springer, vol. 45(5), pages 1309-1323, October.
    13. Jacob Rubak Holm & Bram Timmermans & Christian Richter Ostergaard & Alexander Coad & Nicola Grassano & Antonio Vezzani, 2019. "Labor mobility from R&D-intensive multinational companies: Implications for knowledge and technology," JRC Working Papers on Corporate R&D and Innovation 2019-06, Joint Research Centre.
    14. Gergő Tóth & Balázs Lengyel, 2021. "Inter-firm inventor mobility and the role of co-inventor networks in producing high-impact innovation," The Journal of Technology Transfer, Springer, vol. 46(1), pages 117-137, February.

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    More about this item

    Keywords

    social network; homophily; probability of ties; labour mobility; regional productivity growth; panel vector autoregression;
    All these keywords.

    JEL classification:

    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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