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Knowledge and Productivity in the World's Largest Manufacturing Corporations Level:Panel Data analysis on Compustat and Patent data

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Abstract

This paper examines the relationship between the characteristics of firm knowledge in terms of capital, diversity and relatedness, and productivity. Panel data regression models suggest that unlike knowledge diversity, knowledge capital and knowledge relatedness explain a substantial share of the variance of firm productivity. Activities based on a related set of technological knowledge are more productive than those based on unrelated knowledge because the cost of co-ordinating productive activities decreases as the knowledge used in these activities is being integrated efficiently. The impact of knowledge relatedness on productivity in high-technology sectors is higher than in other sectors.

Suggested Citation

  • Lionel Nesta, 2005. "Knowledge and Productivity in the World's Largest Manufacturing Corporations Level:Panel Data analysis on Compustat and Patent data," Documents de Travail de l'OFCE 2005-17, Observatoire Francais des Conjonctures Economiques (OFCE).
  • Handle: RePEc:fce:doctra:0517
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    1. Rebecca Henderson & Iain Cockburn, 1996. "Scale, Scope, and Spillovers: The Determinants of Research Productivity in Drug Discovery," RAND Journal of Economics, The RAND Corporation, vol. 27(1), pages 32-59, Spring.
    2. Adam B. Jaffe & Michael S. Fogarty & Bruce A. Banks, 1998. "Evidence from Patents and Patent Citations on the Impact of NASA and Other Federal Labs on Commercial Innovation," Journal of Industrial Economics, Wiley Blackwell, vol. 46(2), pages 183-205, June.
    3. Zvi Griliches, 1998. "Comparing Productivity Growth: An Exploration of French and U.S. Industrial and Firm Data," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 157-186, National Bureau of Economic Research, Inc.
    4. Gambardella, Alfonso & Torrisi, Salvatore, 1998. "Does technological convergence imply convergence in markets? Evidence from the electronics industry," Research Policy, Elsevier, vol. 27(5), pages 445-463, September.
    5. Zvi Griliches, 1998. "Productivity and R&D at the Firm Level," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 100-133, National Bureau of Economic Research, Inc.
    6. Jaffe, Adam B, 1986. "Technological Opportunity and Spillovers of R&D: Evidence from Firms' Patents, Profits, and Market Value," American Economic Review, American Economic Association, vol. 76(5), pages 984-1001, December.
    7. Zvi Griliches, 1984. "R&D, Patents, and Productivity," NBER Books, National Bureau of Economic Research, Inc, number gril84-1, March.
    8. Owen A. Lamont & Christopher Polk, 2001. "The Diversification Discount: Cash Flows Versus Returns," Journal of Finance, American Finance Association, vol. 56(5), pages 1693-1721, October.
    9. 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.
    10. Scott, John T & Pascoe, George, 1987. "Purposive Diversification of R and D in Manufacturing," Journal of Industrial Economics, Wiley Blackwell, vol. 36(2), pages 193-205, December.
    11. Hall, B. & Jaffe, A. & Trajtenberg, M., 2001. "The NBER Patent Citations Data File: Lessons, Insights and Methodological Tools," Papers 2001-29, Tel Aviv.
    12. repec:fth:harver:1473 is not listed on IDEAS
    13. Scott,John T., 2005. "Purposive Diversification and Economic Performance," Cambridge Books, Cambridge University Press, number 9780521022583.
    14. Raghuram Rajan & Henri Servaes & Luigi Zingales, 2000. "The Cost of Diversity: The Diversification Discount and Inefficient Investment," Journal of Finance, American Finance Association, vol. 55(1), pages 35-80, February.
    15. 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.
    16. Owen Lamont & Christopher Polk, "undated". "The Diversification Discount: Cash Flows vs. Returns."," CRSP working papers 504, Center for Research in Security Prices, Graduate School of Business, University of Chicago.
    17. Patel, Pari & Pavitt, Keith, 1997. "The technological competencies of the world's largest firms: Complex and path-dependent, but not much variety," Research Policy, Elsevier, vol. 26(2), pages 141-156, May.
    18. David J. Teece & Richard Rumelt & Giovanni Dosi & Sidney Winter, 2000. "Understanding Corporate Coherence: Theory and Evidence," Chapters, in: Innovation, Organization and Economic Dynamics, chapter 9, pages 264-293, Edward Elgar Publishing.
    19. John R. Graham & Michael L. Lemmon & Jack G. Wolf, 2002. "Does Corporate Diversification Destroy Value?," Journal of Finance, American Finance Association, vol. 57(2), pages 695-720, April.
    20. Zvi Griliches & Jacques Mairesse, 1981. "Productivity and R and D at the Firm Level," NBER Working Papers 0826, National Bureau of Economic Research, Inc.
    21. Felicia M. Fai, 2003. "Corporate Technological Competence and the Evolution of Technological Diversification," Books, Edward Elgar Publishing, number 2065.
    22. Breschi, Stefano & Lissoni, Francesco & Malerba, Franco, 2003. "Knowledge-relatedness in firm technological diversification," Research Policy, Elsevier, vol. 32(1), pages 69-87, January.
    23. 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.
    24. Antoinette Schoar, 2002. "Effects of Corporate Diversification on Productivity," Journal of Finance, American Finance Association, vol. 57(6), pages 2379-2403, December.
    25. Vasudevan Ramanujam & P. Varadarajan, 1989. "Research on corporate diversification: A synthesis," Strategic Management Journal, Wiley Blackwell, vol. 10(6), pages 523-551, November.
    26. Montgomery, Cynthia A. & Hariharan, S., 1991. "Diversified expansion by large established firms," Journal of Economic Behavior & Organization, Elsevier, vol. 15(1), pages 71-89, January.
    27. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    28. Krishna Palepu, 1985. "Diversification strategy, profit performance and the entropy measure," Strategic Management Journal, Wiley Blackwell, vol. 6(3), pages 239-255, July.
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    More about this item

    Keywords

    productivity; intangible assets; market value; panel data;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • L65 - Industrial Organization - - Industry Studies: Manufacturing - - - Chemicals; Rubber; Drugs; Biotechnology; Plastics

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