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Knowledge and Productivity in the World's Largest Manufacturing Corporations

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Author Info
Lionel Nesta (SPRU, University of Sussex)

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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.

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File URL: http://www.sussex.ac.uk/spru/documents/sewp119.pdf
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Publisher Info
Paper provided by University of Sussex, SPRU - Science and Technology Policy Research in its series SPRU Electronic Working Paper Series with number 119.

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Length: 47 pages
Date of creation: 01 Aug 2004
Date of revision:
Handle: RePEc:sru:ssewps:119

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Related research
Keywords: knowledge; productivity; large corporations; knowledge measurement; panel data;

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Find related papers by JEL classification:
O33 - Economic Development, Technological Change, and Growth - - Technological Change - - - Technological Change: Choices and Consequences; Diffusion Processes

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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    Other versions:
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  12. 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. [Downloadable!] (restricted)
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  16. Adam B. Jaffe, 1986. "Technological Opportunity and Spillovers of R&D: Evidence from Firms' Patents, Profits and Market Value," NBER Working Papers 1815, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  17. Rebecca Henderson & Iain Cockburn, . "Scale, Scope and Spillovers: The Determinants of Research Productivity in Drug Discovery," Working Papers ec25/94, Department of Economics, University of Lancaster.
    Other versions:
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    Other versions:
  19. 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. [Downloadable!] (restricted)
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Full references

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Krafft Jackie & Quatraro Francesco & Saviotti Paolo, 2009. "Evolution of the Knowledge Base in Knowledge Intensive Sectors," Dipartimento di Economia "S. Cognetti de Martiis" LEI & BRICK - Laboratorio di economia dell'innovazione "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio Carlo 200906, University of Turin. [Downloadable!]
    Other versions:
  2. Krafft Jackie & Quatraro Francesco & Saviotti Paolo, 2009. "The evolution of knowledge base in knowledge-intensive sectors: Social Network analysis of Biotechnology," Dipartimento di Economia "S. Cognetti de Martiis" LEI & BRICK - Laboratorio di economia dell'innovazione "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio Carlo 200909, University of Turin. [Downloadable!]
  3. Quatraro Francesco, 2008. "Regional Knowledge base and productivity growth: the evidence of italian manufacturing," Dipartimento di Economia "S. Cognetti de Martiis" LEI & BRICK - Laboratorio di economia dell'innovazione "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio Carlo 200810, University of Turin. [Downloadable!]
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