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Productivity effects of basic research in low-tech and high-tech industries

  • Czarnitzki, Dirk
  • Thorwarth, Susanne

R&D encompasses plenty of activities which are usually summarized under the terms of basic research, applied research and development. Although basic research is often associated with low appropriability it provides the fundamental basis for subsequent applied research and development. Especially in the high-tech sector basic research capabilities are an essential component for a firm's success. We use firm-level panel data stemming from Belgian R&D surveys and apply a production function approach which shows that basic research exhibits a premium on a firm's output when compared to applied research and development. When we split the sample into high-tech and low-tech companies, we find a large premium of basic research for firms in high-tech industries, but no premium in low-tech sectors.

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Article provided by Elsevier in its journal Research Policy.

Volume (Year): 41 (2012)
Issue (Month): 9 ()
Pages: 1555-1564

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Handle: RePEc:eee:respol:v:41:y:2012:i:9:p:1555-1564
Contact details of provider: Web page: http://www.elsevier.com/locate/respol

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  1. Saul Lach & Mark Schankerman, 2006. "Incentives and Invention in Universities," CEP Discussion Papers dp0729, Centre for Economic Performance, LSE.
  2. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," Review of Economic Studies, Oxford University Press, vol. 70(2), pages 317-341.
  3. 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.
  4. Cassiman, Bruno & Pérez-Castrillo, J David & Veugelers, Reinhilde, 2000. "Endogenizing Know-How Flows Through the Nature of R&D Investments," CEPR Discussion Papers 2622, C.E.P.R. Discussion Papers.
  5. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-97, November.
  6. Mansfield, Edwin, 1980. "Basic Research and Productivity Increase in Manufacturing," American Economic Review, American Economic Association, vol. 70(5), pages 863-73, December.
  7. Blundell, R. & Bond, S., 1995. "Initial Conditions and Moment Restrictions in Dynamic Panel Data Models," Economics Papers 104, Economics Group, Nuffield College, University of Oxford.
  8. Lim, Kwanghui, 2004. "The relationship between research and innovation in the semiconductor and pharmaceutical industries (1981-1997)," Research Policy, Elsevier, vol. 33(2), pages 287-321, March.
  9. Trajtenberg, M., 1992. "Ivory Tower Versus Corporate Lab : An Empirical Study of Basic Research and Appropriability," Papers 15-92, Tel Aviv.
  10. 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.
  11. Lichtenberg, Frank R & Siegel, Donald, 1991. "The Impact of R&D Investment on Productivity--New Evidence Using Linked R&D-LRD Data," Economic Inquiry, Western Economic Association International, vol. 29(2), pages 203-29, April.
  12. Steffen Mueller, 2008. "Capital stock approximation using firm level panel data," Working Papers 038, Bavarian Graduate Program in Economics (BGPE).
  13. Kuen-Hung Tsai & Jiann-Chyuan Wang, 2004. "R&D Productivity and the Spillover Effects of High-tech Industry on the Traditional Manufacturing Sector: The Case of Taiwan," The World Economy, Wiley Blackwell, vol. 27(10), pages 1555-1570, November.
  14. Van Biesebroeck, Johannes, 2008. "The Sensitivity of Productivity Estimates," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 311-328.
  15. Rosenberg, Nathan, 1990. "Why do firms do basic research (with their own money)?," Research Policy, Elsevier, vol. 19(2), pages 165-174, April.
  16. Kenneth Arrow, 1962. "Economic Welfare and the Allocation of Resources for Invention," NBER Chapters, in: The Rate and Direction of Inventive Activity: Economic and Social Factors, pages 609-626 National Bureau of Economic Research, Inc.
  17. Hausman, Jerry A, 1978. "Specification Tests in Econometrics," Econometrica, Econometric Society, vol. 46(6), pages 1251-71, November.
  18. James Levinsohn & Amil Petrin, 2000. "Estimating Production Functions Using Inputs to Control for Unobservables," NBER Working Papers 7819, National Bureau of Economic Research, Inc.
  19. Richard Blundell & Rachel Griffith & John Van Reenen, 1994. "Dynamic count data models of technological innovation," IFS Working Papers W94/10, Institute for Fiscal Studies.
  20. Link, Albert N, 1981. "Basic Research and Productivity Increase in Manufacturing: Additional Evidence," American Economic Review, American Economic Association, vol. 71(5), pages 1111-12, December.
  21. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
  22. Dirk Czarnitzki & Hanna Hottenrott & Susanne Thorwarth, 2011. "Industrial research versus development investment: the implications of financial constraints," Cambridge Journal of Economics, Oxford University Press, vol. 35(3), pages 527-544.
  23. Pavitt, Keith, 1991. "What makes basic research economically useful?," Research Policy, Elsevier, vol. 20(2), pages 109-119, April.
  24. Richard R. Nelson, 1959. "The Simple Economics of Basic Scientific Research," Journal of Political Economy, University of Chicago Press, vol. 67, pages 297.
  25. Arellano, Manuel & Bond, Stephen, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Wiley Blackwell, vol. 58(2), pages 277-97, April.
  26. 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.
  27. Richard Blundell & Rachel Griffith & Frank Windmeijer, 1999. "Individual effects and dynamics in count data models," IFS Working Papers W99/03, Institute for Fiscal Studies.
  28. Luc Sels & Sophie De Winne & Johan Maes & Jeroen Delmotte & Dries Faems & Anneleen Forrier, 2006. "Unravelling the HRM-Performance Link: Value-Creating and Cost-Increasing Effects of Small Business HRM," Journal of Management Studies, Wiley Blackwell, vol. 43(2), pages 319-342, 03.
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