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The Path of R&D Efficiency over Time

Author

Listed:
  • Pilar Beneito

    (University of Valencia and ERI-CES)

  • María Engracia Rochina-Barrachina

    (University of Valencia)

  • Amparo Sanchis

    (University of Valencia)

Abstract
In this paper we investigate the pattern of R&D efficiency in terms of the number of product innovations achieved by firms over time. Embodied in the R&D capital stock, we distinguish among physical R&D capital and human R&D capital, and allow the latter to be subject to dynamic returns along firms’ R&D histories. We assume that firms’ innovation outcomes depend on the length of the period of time they have been investing in R&D and explore whether the interruption in this temporal sequence of engagement in R&D affects the rate of achievement of innovation outcomes. For this purpose, we estimate an innovation production function using a panel dataset of Spanish manufacturing firms for the period 1990-2006. Our results suggest that R&D activities exhibit dynamic returns that are increasing but at a decreasing rate, possibly due to exhaustion of innovation opportunities. In addition, our findings indicate that interruptions of R&D activities reduce R&D efficiency, probably due to organizational forgetting. However, spillover effects seem to exist between firms’ R&D spells since firms resuming R&D activities achieve innovation success rates above the innovation rates of their initial years of R&D activities.

Suggested Citation

  • Pilar Beneito & María Engracia Rochina-Barrachina & Amparo Sanchis, 2014. "The Path of R&D Efficiency over Time," Working Papers 1403, Department of Applied Economics II, Universidad de Valencia.
    • Handle: RePEc:eec:wpaper:1403
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    References listed on IDEAS

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    1. Czarnitzki, Dirk & Kraft, Kornelius & Thorwarth, Susanne, 2009. "The knowledge production of 'R' and 'D'," Economics Letters, Elsevier, vol. 105(1), pages 141-143, October.
    2. Hall, Bronwyn H. & Mairesse, Jacques & Mohnen, Pierre, 2010. "Measuring the Returns to R&D," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 2, chapter 0, pages 1033-1082, Elsevier.
    3. Philippe Aghion & Nick Bloom & Richard Blundell & Rachel Griffith & Peter Howitt, 2005. "Competition and Innovation: an Inverted-U Relationship," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(2), pages 701-728.
    4. Cameron,A. Colin & Trivedi,Pravin K., 2013. "Regression Analysis of Count Data," Cambridge Books, Cambridge University Press, number 9781107667273.
    5. Bronwyn H. Hall & Zvi Griliches & Jerry A. Hausman, 1984. "Patents and R&D: Is There A Lag?," NBER Working Papers 1454, National Bureau of Economic Research, Inc.
    6. John Bound & Clint Cummins & Zvi Griliches & Bronwyn H. Hall & Adam B. Jaffe, 1984. "Who Does R&D and Who Patents?," NBER Chapters, in: R&D, Patents, and Productivity, pages 21-54, National Bureau of Economic Research, Inc.
    7. Hall, Bronwyn H & Griliches, Zvi & Hausman, Jerry A, 1986. "Patents and R and D: Is There a Lag?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 27(2), pages 265-283, June.
    8. Wooldridge, Jeffrey M., 1997. "Multiplicative Panel Data Models Without the Strict Exogeneity Assumption," Econometric Theory, Cambridge University Press, vol. 13(5), pages 667-678, October.
    9. Dasgupta, Partha & Stiglitz, Joseph E, 1988. "Learning-by-Doing, Market Structure and Industrial and Trade Policies," Oxford Economic Papers, Oxford University Press, vol. 40(2), pages 246-268, June.
    10. 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.
    11. Bronwyn H. Hall, 2010. "Measuring the Returns to R&D: The Depreciation Problem," NBER Chapters, in: Contributions in Memory of Zvi Griliches, pages 341-381, National Bureau of Economic Research, Inc.
    12. Zvi Griliches, 1958. "Research Costs and Social Returns: Hybrid Corn and Related Innovations," Journal of Political Economy, University of Chicago Press, vol. 66(5), pages 419-419.
    13. David Besanko & Ulrich Doraszelski & Yaroslav Kryukov & Mark Satterthwaite, 2010. "Learning-by-Doing, Organizational Forgetting, and Industry Dynamics," Econometrica, Econometric Society, vol. 78(2), pages 453-508, March.
    14. Sherwin Rosen, 1972. "Learning by Experience as Joint Production," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 86(3), pages 366-382.
    15. De loecker, Jan, 2010. "A Note on Detecting Learning by Exporting," CEPR Discussion Papers 8121, C.E.P.R. Discussion Papers.
    16. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    17. Juan A. Máñez & María E. Rochina‐Barrachina & Amparo Sanchis & Juan A. Sanchis, 2009. "The Role Of Sunk Costs In The Decision To Invest In R&D," Journal of Industrial Economics, Wiley Blackwell, vol. 57(4), pages 712-735, December.
    18. Paula Bustos, 2011. "Trade Liberalization, Exports, and Technology Upgrading: Evidence on the Impact of MERCOSUR on Argentinian Firms," American Economic Review, American Economic Association, vol. 101(1), pages 304-340, February.
    19. K. J. Arrow, 1971. "The Economic Implications of Learning by Doing," Palgrave Macmillan Books, in: F. H. Hahn (ed.), Readings in the Theory of Growth, chapter 11, pages 131-149, Palgrave Macmillan.
    20. Zvi Griliches, 1998. "R&D and Productivity: The Econometric Evidence," NBER Books, National Bureau of Economic Research, Inc, number gril98-1.
    21. Beneito, Pilar, 2006. "The innovative performance of in-house and contracted R&D in terms of patents and utility models," Research Policy, Elsevier, vol. 35(4), pages 502-517, May.
    22. 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.
    23. Ulrich Doraszelski & Jordi Jaumandreu, 2013. "R&D and Productivity: Estimating Endogenous Productivity," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 80(4), pages 1338-1383.
    24. C. Lanier Benkard, 2000. "Learning and Forgetting: The Dynamics of Aircraft Production," American Economic Review, American Economic Association, vol. 90(4), pages 1034-1054, September.
    25. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    26. Jürgen Bitzer, 2005. "Measuring Knowledge Stocks: A Process of Creative Destruction," Kyklos, Wiley Blackwell, vol. 58(3), pages 379-393, July.
    27. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(2), pages 317-341.
    28. Pilar Beneito & María E. Rochina-Barrachina & Amparo Sanchis, 2013. "Ownership and cyclicality of firms’ R&D investment," Working Papers 1306, Department of Applied Economics II, Universidad de Valencia.
    29. Schankerman, Mark, 1981. "The Effects of Double-Counting and Expensing on the Measured Returns to R&D," The Review of Economics and Statistics, MIT Press, vol. 63(3), pages 454-458, August.
    30. Guy David & Tanguy Brachet, 2011. "On the Determinants of Organizational Forgetting," American Economic Journal: Microeconomics, American Economic Association, vol. 3(3), pages 100-123, August.
    31. C. Lanier Benkard, 2004. "A Dynamic Analysis of the Market for Wide-Bodied Commercial Aircraft," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 71(3), pages 581-611.
    32. Richard Blundell & Rachel Griffith & John van Reenen, 1999. "Market Share, Market Value and Innovation in a Panel of British Manufacturing Firms," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 66(3), pages 529-554.
    33. Leff, Nathaniel H, 1978. "Industrial Organization and Entrepreneurship in the Developing Countries: The Economic Groups," Economic Development and Cultural Change, University of Chicago Press, vol. 26(4), pages 661-675, July.
    34. Griliches, Zvi, 1998. "R&D and Productivity," National Bureau of Economic Research Books, University of Chicago Press, edition 1, number 9780226308869, August.
    35. Ariel Pakes & Mark Schankerman, 1984. "The Rate of Obsolescence of Patents, Research Gestation Lags, and the Private Rate of Return to Research Resources," NBER Chapters, in: R&D, Patents, and Productivity, pages 73-88, National Bureau of Economic Research, Inc.
    36. Pilar Beneito & Paz Coscollá-Girona & María Engracia Rochina-Barrachina & Amparo Sanchis, 2015. "Competitive Pressure and Innovation at the Firm Level," Journal of Industrial Economics, Wiley Blackwell, vol. 63(3), pages 422-457, September.
    37. Silviano Pérez & Amparo Llopis & Juan Llopis, 2004. "The Determinants of Survival of Spanish Manufacturing Firms," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 25(3), pages 251-273, August.
    38. Hulten, Charles R & Wykoff, Frank C, 1996. "Issues in the Measurement of Economic Depreciation: Introductory Remarks," Economic Inquiry, Western Economic Association International, vol. 34(1), pages 10-23, January.
    39. Chamberlain, Gary, 1992. "Sequential Moment Restrictions in Panel Data: Comment," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(1), pages 20-26, January.
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    Cited by:

    1. Martina Halaskova & Beata Gavurova & Kristina Kocisova, 2020. "Research and Development Efficiency in Public and Private Sectors: An Empirical Analysis of EU Countries by Using DEA Methodology," Sustainability, MDPI, vol. 12(17), pages 1-22, August.
    2. P. Beneito & M. E. Rochina-Barrachina & A. Sanchis, 2016. "Foreign capital, credit constraints and continuity of firms' R&D," Applied Economics Letters, Taylor & Francis Journals, vol. 23(3), pages 157-161, February.
    3. Yongqi Feng & Haolin Zhang & Yung-ho Chiu & Tzu-Han Chang, 2021. "Innovation efficiency and the impact of the institutional quality: a cross-country analysis using the two-stage meta-frontier dynamic network DEA model," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3091-3129, April.
    4. Labeaga, José M. & Martínez-Ros, Ester & Sanchis, Amparo & Sanchis, Juan A., 2021. "Does persistence in using R&D tax credits help to achieve product innovations?," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    5. Mañez, J.A. & Love, J.H., 2020. "Quantifying sunk costs and learning effects in R&D persistence," Research Policy, Elsevier, vol. 49(7).
    6. Tan, Xiujie & Liu, Yishuang & Dong, Hanmin & Zhang, Zhan, 2022. "The effect of carbon emission trading scheme on energy efficiency: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 506-517.
    7. García-Vega, María, 2022. "R&D restructuring during the Great Recession and young firms," International Journal of Industrial Organization, Elsevier, vol. 81(C).
    8. María García-Vega, 2020. "R&D restructuring during the Great Recession and young firms," Discussion Papers 2020-09, University of Nottingham, GEP.

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    More about this item

    Keywords

    R&D; dynamic returns; interruptions; product innovation; count data;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • L2 - Industrial Organization - - Firm Objectives, Organization, and Behavior
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

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