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Innovation and Employment: A firm level analysis with European R&D Scoreboard data



In this article, we analyse the microeconomic relationship between innovation and employment, using company data from R&D Scoreboard for Europe covering 2000-2008. We estimate a reduced form equation in which R&D can account for both product and process innovation. The existence of non constant elasticities is assessed, due to the combination of efficient scale and decreasing return to R&D: in our empirical estimates the scale effect tends to prevail for a given R&D intensity generating an increasing relationship between total turnover and employment. Our results have important implications for policymakers: R&D and innovation supporting policies should be correctly tailored and monitored since the results depend on the characteristics of the firms benefited. By the same token, calibration of general equilibrium models aimed at quantifying the employment impact of R&D and innovation policies should take into account that the average elasticity can be a very rough approximation. We claim that our results support the position that R&D and innovation policies should be tailored towards favouring entry by knowledge intensive firms, instead of supporting existing actors.

Suggested Citation

  • Francesco Bogliacino, 2010. "Innovation and Employment: A firm level analysis with European R&D Scoreboard data," JRC Working Papers on Corporate R&D and Innovation 2010-08, Joint Research Centre (Seville site).
  • Handle: RePEc:ipt:wpaper:201008

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    References listed on IDEAS

    1. Van Reenen, John, 1997. "Employment and Technological Innovation: Evidence from U.K. Manufacturing Firms," Journal of Labor Economics, University of Chicago Press, vol. 15(2), pages 255-284, April.
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    Cited by:

    1. Francesco Bogliacino & Dario Guarascio & Valeria Cirillo, 2015. "Where Does the Surplus Go? Disentangling the Capital-Labor Distributive Conflict," DOCUMENTOS DE TRABAJO - ESCUELA DE ECONOMÍA 013535, UN - RCE - CID.
    2. Kancs, d’Artis & Siliverstovs, Boriss, 2016. "R&D and non-linear productivity growth," Research Policy, Elsevier, vol. 45(3), pages 634-646.
    3. D'Artis Kancs & Boriss Siliverstovs, 2015. "Employment Effect of Innovation," JRC Working Papers on Corporate R&D and Innovation 2015-07, Joint Research Centre (Seville site).
    4. Francesco Bogliacino & Dario Guarascio & Valeria Cirillo, 2016. "The dynamics of profits and wages: technology, offshoring and demand," LEM Papers Series 2016/04, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    5. Di Cintio, Marco & Ghosh, Sucharita & Grassi, Emanuele, 2017. "Firm growth, R&D expenditures and exports: An empirical analysis of italian SMEs," Research Policy, Elsevier, vol. 46(4), pages 836-852.
    6. Daria Ciriaci & Pietro Moncada-Paterno-Castello & Peter Voigt, 2012. "Does size or age of innovative firms affect their growth persistence? Evidence from a panel of innovative Spanish firms," JRC Working Papers JRC74052, Joint Research Centre (Seville site).
    7. Pietro Moncada-Paternò-Castello & Peter Voigt, 2012. "Projection of R&D-intensive enterprise growth to the year 2020: Implications for EU policy?," JRC Working Papers on Corporate R&D and Innovation 2012-01, Joint Research Centre (Seville site).
    8. Daria Ciriaci & Pietro Moncada-Paternò-Castello & Peter Voigt, 2016. "Innovation and job creation: a sustainable relation?," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 6(2), pages 189-213, August.

    More about this item


    Technological change; corporate R&D; employment; panel data;

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • J20 - Labor and Demographic Economics - - Demand and Supply of Labor - - - General

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