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Knowledge and productivity in the world’s largest manufacturing corporations

Author

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  • Lionel Nesta

    (OFCE - Observatoire français des conjonctures économiques (Sciences Po) - Sciences Po - Sciences Po)

Abstract

This paper develops a model linking firm knowledge with productivity. The model captures three characteristics of firm knowledge (capital, diversity and relatedness) that are tested on a sample of 156 of the world's largest corporations. Panel data regression models suggest that unlike knowledge diversity, knowledge capital and knowledge relatedness explain a substantial share of the variance of firm productivity. Relatedness matters because it lowers coordination costs between heterogeneous activities. Consequently, the traditional econometric specification has repeatedly underestimated by 15 percent the overall short-run contribution of intangible assets to firm productivity. This underestimation becomes fiercer in high-technology sectors.

Suggested Citation

  • Lionel Nesta, 2008. "Knowledge and productivity in the world’s largest manufacturing corporations," Sciences Po Economics Publications (main) hal-03417083, HAL.
    • Handle: RePEc:hal:spmain:hal-03417083
    DOI: 10.1016/j.jebo.2007.08.006
    Note: View the original document on HAL open archive server: https://hal-sciencespo.archives-ouvertes.fr/hal-03417083
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    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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