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R&D Strategy, Metropolitan Externalities and Productivity: Evidence from Sweden

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  • Hans L��f
  • B�rje Johansson

Abstract

This paper studies the influence of metropolitan externalities on productivity for different types of long-run R&D engagement based on information from the Community Innovation Survey. We apply a dynamic general method of moments model to a panel of manufacturing and service firms with different locations in Sweden, classified as a metropolitan region, the largest metropolitan region, a metropolitan city, the largest metropolitan city and a nonmetropolitan area. This analysis generates three distinct results. First, the productivity premium associated with persistent R&D is close to 8 per cent in nonmetro locations and about 14 per cent in the largest city. Second, a firm without any R&D engagement does not benefit at all from the external milieu in metro areas. Third, no productivity premium is associated with occasional R&D effort regardless of the firm's location.

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  • Hans L��f & B�rje Johansson, 2014. "R&D Strategy, Metropolitan Externalities and Productivity: Evidence from Sweden," Industry and Innovation, Taylor & Francis Journals, vol. 21(2), pages 141-154, February.
    • Handle: RePEc:taf:indinn:v:21:y:2014:i:2:p:141-154
    DOI: 10.1080/13662716.2014.896600
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    References listed on IDEAS

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    1. Andersson, Martin & Johansson, Borje & Karlsson, Charlie & Loof, Hans (ed.), 2012. "Innovation and Growth: From R&D Strategies of Innovating Firms to Economy-wide Technological Change," OUP Catalogue, Oxford University Press, number 9780199646685.
    2. Andrea R. Lamorgese & Gianmarco I.P. Ottaviano, 2006. "Intercity interactions: evidence from the US," 2006 Meeting Papers 667, Society for Economic Dynamics.
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    Cited by:

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    2. Bjerke, Lina & Johansson, Sara, 2022. "Innovation in agriculture: An analysis of Swedish agricultural and non-agricultural firms," Food Policy, Elsevier, vol. 109(C).
    3. Christopher F. Baum & Hans Lööf & Pardis Nabavi & Andreas Stephan, 2017. "A new approach to estimation of the R&D–innovation–productivity relationship," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 26(1-2), pages 121-133, February.
    4. Backman, Mikaela & Palmberg, Johanna, 2015. "Contextualizing small family firms: How does the urban–rural context affect firm employment growth?," Journal of Family Business Strategy, Elsevier, vol. 6(4), pages 247-258.
    5. Mikaela Backman & Hans Lööf, 2015. "The geography of innovation and entrepreneurship," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 55(1), pages 1-6, October.
    6. Nuno Campos Pereira & Nuno Araújo & Leonardo Costa, 2016. "A counting multidimensional innovation index for SMEs," Working Papers de Economia (Economics Working Papers) 01, Católica Porto Business School, Universidade Católica Portuguesa.
    7. Masso, Jaan & Tiwari, Amaresh K., 2024. "Productivity impacts of R&D and non-R&D modes of technological change for incumbents and entrants in a catching-up economy," Technological Forecasting and Social Change, Elsevier, vol. 199(C).

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