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Firms’ human capital, R&D and innovation: a study on French firms

Listed author(s):
  • Emilie-Pauline Gallié

    ()

  • Diègo Legros

    ()

This article investigates the effects of human capital and technological capital on innovation. While the role of technological capital as measured by research and development (R&D) expenditure has been intensively investigated, few studies have been made on the effect of employee training on innovation. This article explores the relationship between innovation and firm employee training. Our methodological approach contributes to the literature in three ways. We propose various indicators of firm employee training. We build a count data panel with a long time-data series to deal with the issue of firms’ heterogeneity. We propose a dynamic analysis. Using dynamic count data models on French industrial firms over the period 1986–1992, we find positive and significant effects of R&D intensity and training on patenting activity. Whatever the indicators of training our results show that the firm employee training has a positive impact on technological innovation. Copyright Springer-Verlag 2012

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File URL: http://hdl.handle.net/10.1007/s00181-011-0506-8
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Article provided by Springer in its journal Empirical Economics.

Volume (Year): 43 (2012)
Issue (Month): 2 (October)
Pages: 581-596

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Handle: RePEc:spr:empeco:v:43:y:2012:i:2:p:581-596
DOI: 10.1007/s00181-011-0506-8
Contact details of provider: Web page: http://www.springer.com

Order Information: Web: http://www.springer.com/economics/econometrics/journal/181/PS2

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  1. Nathalie Greenan & Emmanuel Duguet, 1997. "Le biais technologique : une analyse économétrique sur données individuelles," Revue Économique, Programme National Persée, vol. 48(5), pages 1061-1089.
  2. Shiferaw Gurmu & Fidel Pérez-Sebastián, 2008. "Patents, R&D and lag effects: evidence from flexible methods for count panel data on manufacturing firms," Empirical Economics, Springer, vol. 35(3), pages 507-526, November.
  3. Ann P. Bartel, 2004. "Human Resource Management and Organizational Performance: Evidence from Retail Banking," ILR Review, Cornell University, ILR School, vol. 57(2), pages 181-203, January.
  4. Blundell, Richard & Griffith, Rachel & Windmeijer, Frank, 2002. "Individual effects and dynamics in count data models," Journal of Econometrics, Elsevier, vol. 108(1), pages 113-131, May.
  5. repec:fth:harver:1473 is not listed on IDEAS
  6. Emmanuel Duguet & Stéphanie Monjon, 2002. "Les fondements microéconomiques de la persistance de l'innovation. Une analyse économétrique," Revue économique, Presses de Sciences-Po, vol. 53(3), pages 625-636.
  7. Pierre Mohnen & Pierre Therrien, 2001. "How Innovative Are Canadian Firms Compared to Some European Firms? A Comparative Look at Innovation Surveys," CIRANO Working Papers 2001s-49, CIRANO.
  8. Ariél Pakes & Zvi Griliches, 1984. "Estimating Distributed Lags in Short Panels with an Application to the Specification of Depreciation Patterns and Capital Stock Constructs," Review of Economic Studies, Oxford University Press, vol. 51(2), pages 243-262.
  9. Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters,in: R&D and Productivity: The Econometric Evidence, pages 287-343 National Bureau of Economic Research, Inc.
  10. Benhabib, Jess & Spiegel, Mark M., 1994. "The role of human capital in economic development evidence from aggregate cross-country data," Journal of Monetary Economics, Elsevier, vol. 34(2), pages 143-173, October.
  11. repec:adr:anecst:y:1998:i:49-50:p:11 is not listed on IDEAS
  12. Francis Vella, 1998. "Estimating Models with Sample Selection Bias: A Survey," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 127-169.
  13. Yannick Carriou & François Jeger, 1997. "La formation continue dans les entreprises et son retour sur investissement," Économie et Statistique, Programme National Persée, vol. 303(1), pages 45-58.
  14. Cockburn, Iain M & Henderson, Rebecca M, 1998. "Absorptive Capacity, Coauthoring Behavior, and the Organization of Research in Drug Discovery," Journal of Industrial Economics, Wiley Blackwell, vol. 46(2), pages 157-182, June.
  15. Cincera, Michele, 1997. "Patents, R&D, and Technological Spillovers at the Firm Level: Some Evidence from Econometric Count Models for Panel Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(3), pages 265-280, May-June.
  16. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-938, July.
  17. Blundell, Richard & Griffith, Rachel & Van Reenen, John, 1995. "Dynamic Count Data Models of Technological Innovation," Economic Journal, Royal Economic Society, vol. 105(429), pages 333-344, March.
  18. Emmanuel Duguet & Isabelle Kabla, 1998. "Appropriation Strategy and the Motivations to Use the Patent System: An Econometric Analysis at the Firm Level in French Manufacturing," Annals of Economics and Statistics, GENES, issue 49-50, pages 289-327.
  19. Crepon, Bruno & Duguet, Emmanuel, 1997. "Estimating the Innovation Function from Patent Numbers: GMM on Count Panel Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(3), pages 243-263, May-June.
  20. Mark Rogers, 2004. "Networks, Firm Size and Innovation," Small Business Economics, Springer, vol. 22(2), pages 141-153, 03.
  21. Bruno Crépon & Emmanuel Duguet & Jacques Mairesse, 2000. "Mesurer le rendement de l'innovation," Économie et Statistique, Programme National Persée, vol. 334(1), pages 65-78.
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