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Productivity and R&D: an econometric evidence from Spanish firm-level data

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  • Jorge Mate-Garcia
  • Jose Rodriguez-Fernandez

Abstract

This article analyses the relationship between productivity growth and R&D investments of Spanish manufacturing firms during the 1990s. The theoretical model is a version of the Cobb-Douglas production function in its growth rate form. The purpose is to estimate the rate of return to R&D expenditures. The econometric specification is a distributed lag model. The estimation applies the generalized method of moments method. The main empirical finding is that a positive and significant role is played by R&D expenditures on productivity growth. The rate of return to R&D expenditures is 26.598%.

Suggested Citation

  • Jorge Mate-Garcia & Jose Rodriguez-Fernandez, 2008. "Productivity and R&D: an econometric evidence from Spanish firm-level data," Applied Economics, Taylor & Francis Journals, vol. 40(14), pages 1827-1837.
    • Handle: RePEc:taf:applec:v:40:y:2008:i:14:p:1827-1837
    DOI: 10.1080/00036840600905217
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    References listed on IDEAS

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    1. Zvi Griliches, 1998. "Productivity Growth and R&D at the Business Level: Results from the PIMS Data Base," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 134-156, National Bureau of Economic Research, Inc.
    2. Jacques Mairesse & Bronwyn H. Hall, 1996. "Estimating the Productivity of Research and Development: An Exploration of GMM Methods Using Data on French & United States Manufacturing Firms," NBER Working Papers 5501, National Bureau of Economic Research, Inc.
    3. Zvi Griliches, 1998. "R&D and Productivity Growth at the Industry Level: Is There Still a Relationship?," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 213-240, National Bureau of Economic Research, Inc.
    4. M. Ishaq Nadiri, 1993. "Innovations and Technological Spillovers," NBER Working Papers 4423, National Bureau of Economic Research, Inc.
    5. Zvi Griliches, 1984. "R&D, Patents, and Productivity," NBER Books, National Bureau of Economic Research, Inc, number gril84-1.
    6. Nadiri, M.I., 1993. "Innovations and Technological Spillovers," Working Papers 93-31, C.V. Starr Center for Applied Economics, New York University.
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    1. Arpita Ghose & Chandrima Chakraborti, 2013. "The Relative Role of Imports and Exports in Explaining Productivity of Indian Bio-Pharmaceutical Firms: Evidence from Non Parametric Data Envelopment Analysis," Foreign Trade Review, , vol. 48(2), pages 165-201, May.
    2. Baghana, Rufin, 2010. "Public R&D Subsidies and Productivity: Evidence from Firm-Level Data in Quebec," MERIT Working Papers 2010-055, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    3. Bianchi, Mattia & Murtinu, Samuele & Scalera, Vittoria G., 2019. "R&D Subsidies as Dual Signals in Technological Collaborations," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    4. Richard Harris & John Moffat, 2011. "Plant-level Determinants of Total Factor Productivity in Great Britain, 1997-2006," SERC Discussion Papers 0064, Centre for Economic Performance, LSE.

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