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The production function of top R&D investors: Accounting for size and sector heterogeneity with quantile estimations

The paper investigates how top R&D investors differ in the production impact of their inputs and in their rate of technical change. We use the EU Industrial R&D Investment Scoreboard and perform a quantile estimation of an augmented Cobb-Douglass production function for a panel of more than 1,000 companies, covering the period 2002-2010. The results for the pooled sample are contrasted with those obtained from the estimates for different groups of economic sectors. Returns to scale are bounded by the initial size of the firm, but to an extent that decreases with the technological intensity of the sector. The output return of knowledge capital is the most important, irrespective of firm size, but in high-tech sectors only. Elsewhere, physical capital is the pivotal factor, although with size variations. The investigated firms appear different also in their technical progress: embodied in mid-high and low/mid-low tech sectors, and disembodied in high-tech sectors.

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Paper provided by Institute of Prospective Technological Studies, Joint Research Centre in its series JRC-IPTS Working Papers on Corporate R&D and Innovation with number 2013-02.

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Length: 26 pages
Date of creation: Jul 2013
Date of revision:
Handle: RePEc:ipt:wpaper:201302
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  1. Mata, José & Woerter, Martin, 2013. "Risky innovation: The impact of internal and external R&D strategies upon the distribution of returns," Research Policy, Elsevier, vol. 42(2), pages 495-501.
  2. Jorgenson, Dale W., 1966. "The Embodiment Hypothesis," Scholarly Articles 3403063, Harvard University Department of Economics.
  3. 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.
  4. Utterback, James M & Abernathy, William J, 1975. "A dynamic model of process and product innovation," Omega, Elsevier, vol. 3(6), pages 639-656, December.
  5. George Battese & Sumiter Broca, 1997. "Functional Forms of Stochastic Frontier Production Functions and Models for Technical Inefficiency Effects: A Comparative Study for Wheat Farmers in Pakistan," Journal of Productivity Analysis, Springer, vol. 8(4), pages 395-414, November.
  6. Coad, Alex & Segarra, Agustí & Teruel, Mercedes, 2013. "Like milk or wine: Does firm performance improve with age?," Structural Change and Economic Dynamics, Elsevier, vol. 24(C), pages 173-189.
  7. Heidenreich, Martin, 2009. "Innovation patterns and location of European low- and medium-technology industries," Research Policy, Elsevier, vol. 38(3), pages 483-494, April.
  8. Potters, Lesley & Ortega-Argilés, Raquel & Vivarelli, Marco, 2008. "R&D and Productivity: Testing Sectoral Peculiarities Using Micro Data," IZA Discussion Papers 3338, Institute for the Study of Labor (IZA).
  9. Greenwood, Jeremy & Hercowitz, Zvi & Krusell, Per, 1997. "Long-Run Implications of Investment-Specific Technological Change," American Economic Review, American Economic Association, vol. 87(3), pages 342-62, June.
  10. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731, 1.
  11. Bartelsman, Eric & Dobbelaere, Sabien & Peters, Bettina, 2013. "Allocation of Human Capital and Innovation at the Frontier: Firm-Level Evidence on Germany and the Netherlands," IZA Discussion Papers 7540, Institute for the Study of Labor (IZA).
  12. Andrea Conte & Marco Vivarelli, 2006. "One or Many Knowlede Production Functions? Mapping Innovative Activity Using Microdata," Papers on Entrepreneurship, Growth and Public Policy 2006-03, Max Planck Institute of Economics, Entrepreneurship, Growth and Public Policy Group.
  13. Richard Blundell & Stephen Bond, 2000. "GMM Estimation with persistent panel data: an application to production functions," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 321-340.
  14. Zvi Griliches, 1998. "Issues in Assessing the Contribution of Research and Development to Productivity Growth," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 17-45 National Bureau of Economic Research, Inc.
  15. Philippe Aghion & Peter Howitt, 1990. "A Model of Growth Through Creative Destruction," NBER Working Papers 3223, National Bureau of Economic Research, Inc.
  16. Paul M Romer, 1999. "Endogenous Technological Change," Levine's Working Paper Archive 2135, David K. Levine.
  17. 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-IPTS Working Papers JRC74052, Institute for Prospective and Technological Studies, Joint Research Centre.
  18. Cohen, Wesley M & Klepper, Steven, 1996. "Firm Size and the Nature of Innovation within Industries: The Case of Process and Product R&D," The Review of Economics and Statistics, MIT Press, vol. 78(2), pages 232-43, May.
  19. R Blundell & Steven Bond, . "Initial conditions and moment restrictions in dynamic panel data model," Economics Papers W14&104., Economics Group, Nuffield College, University of Oxford.
  20. Crepon, B. & Duguet, E. & Mairesse, J., 1998. "Research Investment, Innovation and Productivity: An Econometric Analysis at the Firm Level," Papiers d'Economie Mathématique et Applications 98.15, Université Panthéon-Sorbonne (Paris 1).
  21. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth Through Creative Destruction," Scholarly Articles 12490578, Harvard University Department of Economics.
  22. repec:ucp:bknber:9780226304557 is not listed on IDEAS
  23. Bronwyn H. Hall & Jacques Mairesse, 1992. "Exploring the Relationship Between R&D and Productivity in French Manufacturing Firms," NBER Working Papers 3956, National Bureau of Economic Research, Inc.
  24. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
  25. Pavitt, Keith, 1984. "Sectoral patterns of technical change: Towards a taxonomy and a theory," Research Policy, Elsevier, vol. 13(6), pages 343-373, December.
  26. Subal Kumbhakar & Raquel Ortega-Argilés & Lesley Potters & Marco Vivarelli & Peter Voigt, 2012. "Corporate R&D and firm efficiency: evidence from Europe’s top R&D investors," Journal of Productivity Analysis, Springer, vol. 37(2), pages 125-140, April.
  27. Malerba, Franco & Orsenigo, Luigi, 1995. "Schumpeterian Patterns of Innovation," Cambridge Journal of Economics, Oxford University Press, vol. 19(1), pages 47-65, February.
  28. Fabio Montobbio, 2000. "An Evolutionary Model of Industrial Growth and Structural Change," KITeS Working Papers 121, KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy, revised Nov 2000.
  29. Ariel Pakes & Zvi Griliches, 1984. "Patents and R&D at the Firm Level: A First Look," NBER Chapters, in: R&D, Patents, and Productivity, pages 55-72 National Bureau of Economic Research, Inc.
  30. George S Olley & Ariel Pakes, 1992. "The Dynamics Of Productivity In The Telecommunications Equipment Industry," Working Papers 92-2, Center for Economic Studies, U.S. Census Bureau.
  31. Z, Griliches & Jacques Mairesse, 1997. "Production Functions : The Search for Identification," Working Papers 97-30, Centre de Recherche en Economie et Statistique.
  32. Bruno Crépon & Emmanuel Duguet & Jacques Mairesse, 1998. "Research, Innovation and Productivity : An Econometric Analysis at the Firm Level," Working Papers 98-33, Centre de Recherche en Economie et Statistique.
  33. Lorena M. D'Agostino & Keld Laursen & Grazia D. Santangelo, 2013. "The impact of R&D offshoring on the home knowledge production of OECD investing regions," Journal of Economic Geography, Oxford University Press, vol. 13(1), pages 145-175, January.
  34. Foss, Nicolai Juul, 1994. " The Theory of the Firm: The Austrians as Precursors and Critics of Contemporary Theory," The Review of Austrian Economics, Springer, vol. 7(1), pages 31-65.
  35. Mehmet Yorukoglu, 1998. "The Information Technology Productivity Paradox," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 1(2), pages 551-592, April.
  36. William Hauk & Romain Wacziarg, 2009. "A Monte Carlo study of growth regressions," Journal of Economic Growth, Springer, vol. 14(2), pages 103-147, June.
  37. Ortega-Argilés, Raquel & Piva, Mariacristina & Potters, Lesley & Vivarelli, Marco, 2009. "Is Corporate R&D Investment in High-Tech Sectors More Effective? Some Guidelines for European Research Policy," IZA Discussion Papers 3945, Institute for the Study of Labor (IZA).
  38. Fabio Montobbio, 2003. "Sectoral patterns of technological activity and export market share dynamics," Cambridge Journal of Economics, Oxford University Press, vol. 27(4), pages 523-545, July.
  39. Castellacci, Fulvio, 2008. "Technological paradigms, regimes and trajectories: Manufacturing and service industries in a new taxonomy of sectoral patterns of innovation," Research Policy, Elsevier, vol. 37(6-7), pages 978-994, July.
  40. Breschi, Stefano & Malerba, Franco & Orsenigo, Luigi, 2000. "Technological Regimes and Schumpeterian Patterns of Innovation," Economic Journal, Royal Economic Society, vol. 110(463), pages 388-410, April.
  41. Kamien,Morton I. & Schwartz,Nancy L., 1982. "Market Structure and Innovation," Cambridge Books, Cambridge University Press, number 9780521293853, 1.
  42. Thorwarth, Susanne & Kraft, Kornelius & Czarnitzki, Dirk, 2008. "The Knowledge Production of 'R' and 'D'," ZEW Discussion Papers 08-046, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  43. Rosenberg,Nathan, 1994. "Exploring the Black Box," Cambridge Books, Cambridge University Press, number 9780521459556, 1.
  44. Robert J. Gordon, 1990. "The Measurement of Durable Goods Prices," NBER Books, National Bureau of Economic Research, Inc, number gord90-1, March.
  45. Alex Coad & Rekha Rao, 2007. "Innovation and Firm Growth in High-Tech Sectors: A Quantile Regression Approach," Open Discussion Papers in Economics 57, The Open University, Faculty of Social Sciences, Department of Economics.
  46. Koenker, Roger, 2004. "Quantile regression for longitudinal data," Journal of Multivariate Analysis, Elsevier, vol. 91(1), pages 74-89, October.
  47. Huergo, Elena & Jaumandreu, Jordi, 2004. "Firms' age, process innovation and productivity growth," International Journal of Industrial Organization, Elsevier, vol. 22(4), pages 541-559, April.
  48. Malerba, Franco & Orsenigo, Luigi, 1996. "Schumpeterian patterns of innovation are technology-specific," Research Policy, Elsevier, vol. 25(3), pages 451-478, May.
  49. Griffin, Ronald C. & Montgomery, John M. & Rister, M. Edward, 1987. "Selecting Functional Form In Production Function Analysis," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 12(02), December.
  50. Acs, Zoltan J. & Audretsch, David B., 1987. "Innovation in large and small firms," Economics Letters, Elsevier, vol. 23(1), pages 109-112.
  51. Malerba, Franco, 2002. "Sectoral systems of innovation and production," Research Policy, Elsevier, vol. 31(2), pages 247-264, February.
  52. Santamara, Llus & Nieto, Mara Jess & Barge-Gil, Andrs, 2009. "Beyond formal R&D: Taking advantage of other sources of innovation in low- and medium-technology industries," Research Policy, Elsevier, vol. 38(3), pages 507-517, April.
  53. Michele Cincera & Julien Ravet, 2010. "Financing constraints and R&D investments of large corporations in Europe and the US," Science and Public Policy, Oxford University Press, vol. 37(6), pages 455-466, July.
  54. Bernd Ebersberger & Orietta Marsili & Toke Reichstein & Ammon Salter, 2010. "Into thin air: using a quantile regression approach to explore the relationship between R&D and innovation," International Review of Applied Economics, Taylor & Francis Journals, vol. 24(1), pages 95-102.
  55. Tone, Kaoru & Sahoo, Biresh K., 2003. "Scale, indivisibilities and production function in data envelopment analysis," International Journal of Production Economics, Elsevier, vol. 84(2), pages 165-192, May.
  56. Kaiser, Ulrich, 2009. "Patents and profit rates," Economics Letters, Elsevier, vol. 104(2), pages 79-80, August.
  57. Alex Coad & Rekha Rao, 2006. "Innovation and market value: a quantile regression analysis," Economics Bulletin, AccessEcon, vol. 15(13), pages 1-10.
  58. Douglas, Paul H, 1976. "The Cobb-Douglas Production Function Once Again: Its History, Its Testing, and Some New Empirical Values," Journal of Political Economy, University of Chicago Press, vol. 84(5), pages 903-15, October.
  59. Roderik Ponds & Frank van Oort & Koen Frenken, 2010. "Innovation, spillovers and university--industry collaboration: an extended knowledge production function approach," Journal of Economic Geography, Oxford University Press, vol. 10(2), pages 231-255, March.
  60. Avi J. Cohen, 2003. "Retrospectives: Whatever Happened to the Cambridge Capital Theory Controversies?," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 199-214, Winter.
  61. García-Manjón, Juan V. & Romero-Merino, M. Elena, 2012. "Research, development, and firm growth. Empirical evidence from European top R&D spending firms," Research Policy, Elsevier, vol. 41(6), pages 1084-1092.
  62. Francesco Bogliacino & Marco Vivarelli, 2012. "The Job Creation Effect Of R&D Expenditures," Australian Economic Papers, Wiley Blackwell, vol. 51(2), pages 96-113, 06.
  63. Lamarche, Carlos, 2010. "Robust penalized quantile regression estimation for panel data," Journal of Econometrics, Elsevier, vol. 157(2), pages 396-408, August.
  64. Zucker, Lynne G. & Darby, Michael R. & Furner, Jonathan & Liu, Robert C. & Ma, Hongyan, 2007. "Minerva unbound: Knowledge stocks, knowledge flows and new knowledge production," Research Policy, Elsevier, vol. 36(6), pages 850-863, July.
  65. Carol Corrado & Charles Hulten & Daniel Sichel, 2009. "Intangible Capital And U.S. Economic Growth," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 55(3), pages 661-685, 09.
  66. Dale W. Jorgenson, 1966. "The Embodiment Hypothesis," Journal of Political Economy, University of Chicago Press, vol. 74, pages 1.
  67. Jacques Mairesse & Jordi Jaumandreu, 2005. "Panel-data Estimates of the Production Function and the Revenue Function: What Difference Does It Make?," Scandinavian Journal of Economics, Wiley Blackwell, vol. 107(4), pages 651-672, December.
  68. Ramani, Shyama V. & El-Aroui, Mhamed-Ali & Carrère, Myriam, 2008. "On estimating a knowledge production function at the firm and sector level using patent statistics," Research Policy, Elsevier, vol. 37(9), pages 1568-1578, October.
  69. Rinaldo Evangelista & Antonio Vezzani, 2012. "The impact of technological and organizational innovations on employment in European firms," Industrial and Corporate Change, Oxford University Press, vol. 21(4), pages 871-899, August.
  70. Cristina Bernini & Marzia Freo & Attilio Gardini, 2004. "Quantile estimation of frontier production function," Empirical Economics, Springer, vol. 29(2), pages 373-381, 05.
  71. Lööf, Hans & Heshmati, Almas, 2000. "Knowledge Capital and Performance Heterogeneity: A Firm Level Innovation Study," SSE/EFI Working Paper Series in Economics and Finance 387, Stockholm School of Economics, revised 14 Aug 2000.
  72. Walter Y. Oi & Todd L. Idson, 1999. "Workers Are More Productive in Large Firms," American Economic Review, American Economic Association, vol. 89(2), pages 104-108, May.
  73. Joon-Woo Nahm, 2001. "Nonparametric quantile regression analysis of R&D-sales relationship for Korean firms," Empirical Economics, Springer, vol. 26(1), pages 259-270.
  74. Agustí Segarra & Mercedes Teruel, 2011. "Productivity and R&D sources: evidence for Catalan firms," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 20(8), pages 727-748, September.
  75. Evangelista, Rinaldo & Vezzani, Antonio, 2010. "The economic impact of technological and organizational innovations. A firm-level analysis," Research Policy, Elsevier, vol. 39(10), pages 1253-1263, December.
  76. Martin Falk, 2012. "Quantile estimates of the impact of R&D intensity on firm performance," Small Business Economics, Springer, vol. 39(1), pages 19-37, July.
  77. Raquel Ortega-Argilés & Mariacristina Piva & Lesley Potters & Marco Vivarelli, 2009. "Is Corporate R&D Investment in High-Tech Sectors More Effective?," DISCE - Quaderni del Dipartimento di Scienze Economiche e Sociali dises0955, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
  78. Ivan A. Canay, 2011. "A simple approach to quantile regression for panel data," Econometrics Journal, Royal Economic Society, vol. 14(3), pages 368-386, October.
  79. Dosi, Giovanni, 1988. "Sources, Procedures, and Microeconomic Effects of Innovation," Journal of Economic Literature, American Economic Association, vol. 26(3), pages 1120-71, September.
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