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Knowledge and Productivity in the World's Largest Manufacturing Corporations

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Abstract

I examine 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 set of related 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 becomes integrated efficiently. The contribution of knowledge relatedness to productivity is significantly higher in high-technology sectors than in other sectors.

Suggested Citation

  • Lionel Nesta, 2004. "Knowledge and Productivity in the World's Largest Manufacturing Corporations," SPRU Working Paper Series 119, SPRU - Science Policy Research Unit, University of Sussex Business School.
  • Handle: RePEc:sru:ssewps:119
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    1. 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.
    2. 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.
    3. Zvi Griliches, 1998. "Productivity, R&D, and Basic Research at the Firm Level in the 1970s," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 82-99, National Bureau of Economic Research, Inc.
    4. repec:fth:harver:1473 is not listed on IDEAS
    5. 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.
    6. 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.
    7. 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.
    8. Bronwyn H. Hall & Adam B. Jaffe & Manuel Trajtenberg, 2001. "The NBER Patent Citation Data File: Lessons, Insights and Methodological Tools," NBER Working Papers 8498, National Bureau of Economic Research, Inc.
    9. 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.
    10. 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.
    11. Scott,John T., 2005. "Purposive Diversification and Economic Performance," Cambridge Books, Cambridge University Press, number 9780521022583, May.
    12. Antoinette Schoar, 2002. "Effects of Corporate Diversification on Productivity," Journal of Finance, American Finance Association, vol. 57(6), pages 2379-2403, December.
    13. 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.
    14. 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.
    15. Krishna Palepu, 1985. "Diversification strategy, profit performance and the entropy measure," Strategic Management Journal, Wiley Blackwell, vol. 6(3), pages 239-255, July.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. Zvi Griliches, 1984. "R&D, Patents, and Productivity," NBER Books, National Bureau of Economic Research, Inc, number gril84-1.
    21. 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.
    22. 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.
    23. 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.
    24. Teece, David J. & Rumelt, Richard & Dosi, Giovanni & Winter, Sidney, 1994. "Understanding corporate coherence : Theory and evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 23(1), pages 1-30, January.
    25. Zvi Griliches & Jacques Mairesse, 1981. "Productivity and R and D at the Firm Level," NBER Working Papers 0826, National Bureau of Economic Research, Inc.
    26. Felicia M. Fai, 2003. "Corporate Technological Competence and the Evolution of Technological Diversification," Books, Edward Elgar Publishing, number 2065.
    27. Breschi, Stefano & Lissoni, Francesco & Malerba, Franco, 2003. "Knowledge-relatedness in firm technological diversification," Research Policy, Elsevier, vol. 32(1), pages 69-87, January.
    28. Vasudevan Ramanujam & P. Varadarajan, 1989. "Research on corporate diversification: A synthesis," Strategic Management Journal, Wiley Blackwell, vol. 10(6), pages 523-551, November.
    29. 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.
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    More about this item

    Keywords

    knowledge; productivity; large corporations; knowledge measurement; panel data;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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