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Job Creation Effects of R&D Expenditures: Are High-tech Sectors the Key?

Author

Listed:
  • Francesco Bogliacino

    () (European Commission - JRC)

  • Mariacristina Piva

    (Università Cattolica de Milano)

  • Marco Vivarelli

    () (Università Cattolica de Milano)

Abstract

In this paper we assess the job creation effect of R&D expenditures, using a unique longitudinal database of 677 European companies over the period 1990-2008. We estimate a dynamic labour demand specification using a Least Squares Dummy Variable Corrected (LSDVC) technique. The labour-friendly nature of R&D emerges from the empirical analysis on the overall sample. However, this positive significant effect corresponds to the high-tech sector and services, while the effect is not significant for traditional manufacturing. The results support the policy agenda of promoting structural change in European economies.

Suggested Citation

  • Francesco Bogliacino & Mariacristina Piva & Marco Vivarelli, 2011. "Job Creation Effects of R&D Expenditures: Are High-tech Sectors the Key?," JRC Working Papers on Corporate R&D and Innovation 2011-10, Joint Research Centre (Seville site).
  • Handle: RePEc:ipt:wpaper:201110
    as

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    File URL: http://iri.jrc.ec.europa.eu/documents/10180/980cc85a-0826-4106-830a-57be7d7859f8
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    References listed on IDEAS

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    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.
    2. Lachenmaier, Stefan & Rottmann, Horst, 2011. "Effects of innovation on employment: A dynamic panel analysis," International Journal of Industrial Organization, Elsevier, vol. 29(2), pages 210-220, March.
    3. Francesco Bogliacino & Marco Vivarelli, 2012. "The Job Creation Effect Of R&D Expenditures," Australian Economic Papers, Wiley Blackwell, vol. 51(2), pages 96-113, June.
    4. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    5. Mariacristina Piva & Marco Vivarelli, 2005. "Innovation and Employment: Evidence from Italian Microdata," Journal of Economics, Springer, vol. 86(1), pages 65-83, October.
    6. Keld Laursen & Nicolai J. Foss, 2003. "New human resource management practices, complementarities and the impact on innovation performance," Cambridge Journal of Economics, Oxford University Press, vol. 27(2), pages 243-263, March.
    7. Brouwer, Erik & Kleinknecht, Alfred & Reijnen, Jeroen O N, 1993. "Employment Growth and Innovation at the Firm Level," Journal of Evolutionary Economics, Springer, vol. 3(2), pages 153-159, May.
    8. Harrison, Rupert & Jaumandreu, Jordi & Mairesse, Jacques & Peters, Bettina, 2014. "Does innovation stimulate employment? A firm-level analysis using comparable micro-data from four European countries," International Journal of Industrial Organization, Elsevier, vol. 35(C), pages 29-43.
    9. Zimmermann, Klaus F, 1991. "The Employment Consequences of Technological Advance, Demand and Labor Costs in 16 German Industries," Empirical Economics, Springer, vol. 16(2), pages 253-266.
    10. Dosi, Giovanni, 1988. "Sources, Procedures, and Microeconomic Effects of Innovation," Journal of Economic Literature, American Economic Association, vol. 26(3), pages 1120-1171, September.
    11. Blanchflower, D. & Millward, N. & Oswald, A., 1989. "Unionization And Employment Behaviour," Papers 339, London School of Economics - Centre for Labour Economics.
    12. Dobbs, I M & Hill, M B & Waterson, M, 1987. "Industrial Structure and the Employment Consequences of Technical Change," Oxford Economic Papers, Oxford University Press, vol. 39(3), pages 552-567, September.
    13. Vivarelli, Marco, 2007. "Innovation and Employment: A Survey," IZA Discussion Papers 2621, Institute for the Study of Labor (IZA).
    14. Bruno, Giovanni S.F., 2005. "Approximating the bias of the LSDV estimator for dynamic unbalanced panel data models," Economics Letters, Elsevier, vol. 87(3), pages 361-366, June.
    15. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    16. Piva, Mariacristina & Santarelli, Enrico & Vivarelli, Marco, 2005. "The skill bias effect of technological and organisational change: Evidence and policy implications," Research Policy, Elsevier, vol. 34(2), pages 141-157, March.
    17. Bun, Maurice J. G. & Kiviet, Jan F., 2003. "On the diminishing returns of higher-order terms in asymptotic expansions of bias," Economics Letters, Elsevier, vol. 79(2), pages 145-152, May.
    18. David Blanchflower & Simon Burgess, 1998. "New Technology And Jobs: Comparative Evidence From A Two Country Study," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 5(2-4), pages 109-138.
    19. Giovanni S. F. Bruno, 2005. "Estimation and inference in dynamic unbalanced panel-data models with a small number of individuals," Stata Journal, StataCorp LP, vol. 5(4), pages 473-500, December.
    20. Arellano, Manuel, 1989. "A note on the Anderson-Hsiao estimator for panel data," Economics Letters, Elsevier, vol. 31(4), pages 337-341, December.
    21. Smolny, Werner, 1998. "Innovations, Prices and Employment: A Theoretical Model and an Empirical Application for West German Manufacturing Firms," Journal of Industrial Economics, Wiley Blackwell, vol. 46(3), pages 359-381, September.
    22. Conte, Andrea & Vivarelli, Marco, 2005. "One or Many Knowledge Production Functions? Mapping Innovative Activity Using Microdata," IZA Discussion Papers 1878, Institute for the Study of Labor (IZA).
    23. Andrea Conte, 2009. "Mapping innovative activity using microdata," Applied Economics Letters, Taylor & Francis Journals, vol. 16(18), pages 1795-1799.
    24. Hall, P. H. & Heffernan, S. A., 1985. "More on the employment effects of innovation," Journal of Development Economics, Elsevier, vol. 17(1-2), pages 151-162.
    25. Greenhalgh, C & Longland, M & Bosworth, D, 2001. "Technological Activity and Employment in a Panel of UK Firms," Scottish Journal of Political Economy, Scottish Economic Society, vol. 48(3), pages 260-282, August.
    26. Peters, Bettina, 2004. "Employment Effects of Different Innovation Activities: Microeconometric Evidence," ZEW Discussion Papers 04-73, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
    27. Petit, Pascal, 1993. "Employment and technical change," CEPREMAP Working Papers (Couverture Orange) 9330, CEPREMAP.
    28. Raquel Ortega-Argilés & Mariacristina Piva & Lesley Potters & Marco Vivarelli, 2010. "Is Corporate R&D Investment In High-Tech Sectors More Effective?," Contemporary Economic Policy, Western Economic Association International, vol. 28(3), pages 353-365, July.
    29. Mariacristina Piva & Marco Vivarelli, 2004. "Technological change and employment: some micro evidence from Italy," Applied Economics Letters, Taylor & Francis Journals, vol. 11(6), pages 373-376.
    30. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
    31. Judson, Ruth A. & Owen, Ann L., 1999. "Estimating dynamic panel data models: a guide for macroeconomists," Economics Letters, Elsevier, vol. 65(1), pages 9-15, October.
    32. Katsoulacos, Y., 1984. "Product innovation and employment," European Economic Review, Elsevier, vol. 26(1-2), pages 83-108.
    33. Marco Vivarelli, 1995. "The Economics of Technology and Employment," Books, Edward Elgar Publishing, number 458, April.
    34. Kiviet, Jan F., 1995. "On bias, inconsistency, and efficiency of various estimators in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 68(1), pages 53-78, July.
    35. Thomas Hatzichronoglou, 1997. "Revision of the High-Technology Sector and Product Classification," OECD Science, Technology and Industry Working Papers 1997/2, OECD Publishing.
    36. Ahn, Seung C. & Schmidt, Peter, 1995. "Efficient estimation of models for dynamic panel data," Journal of Econometrics, Elsevier, vol. 68(1), pages 5-27, July.
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    More about this item

    Keywords

    innovation; employment; manufacturing; services; LSDVC;

    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

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