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The burden of knowledge and the ‘death of the Renaissance man’: Is innovation getting harder?

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  • Benjamin F. Jones
Abstract
This paper investigates, theoretically and empirically, a possibly fundamental aspect of technological progress. If knowledge accumulates as technology progresses, then successive generations of innovators may face an increasing educational burden. Innovators can compensate in their education by seeking narrower expertise, but narrowing expertise will reduce their individual capacities, with implications for the organization of innovative activity - a greater reliance on teamwork - and negative implications for growth. I develop a formal model of this ?knowledge burden mechanism? and derive six testable predictions for innovators. Over time, educational attainment will rise while increased specialization and teamwork follow from a sufficiently rapid increase in the burden of knowledge. In cross-section, the model predicts that specialization and teamwork will be greater in deeper areas of knowledge while, surprisingly, educational attainment will not vary across fields. I test these six predictions using a micro-data set of individual inventors and find evidence consistent with each prediction. The model thus provides a parsimonious explanation for a range of empirical patterns of inventive activity. Upward trends in academic collaboration and lengthening doctorates, which have been noted in other research, can also be explained by the model, as can much-debated trends relating productivity growth and patent output to aggregate inventive effort. The knowledge burden mechanism suggests that the nature of innovation is changing, with negative implications for long-run economic growth.

Suggested Citation

  • Benjamin F. Jones, 2005. "The burden of knowledge and the ‘death of the Renaissance man’: Is innovation getting harder?," Proceedings, Federal Reserve Bank of San Francisco.
    • Handle: RePEc:fip:fedfpr:y:2005:x:28
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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. Oliver Hart & John Moore, 1994. "A Theory of Debt Based on the Inalienability of Human Capital," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(4), pages 841-879.
    3. Blaise Cronin & Debora Shaw & Kathryn La Barre, 2003. "A cast of thousands: Coauthorship and subauthorship collaboration in the 20th century as manifested in the scholarly journal literature of psychology and philosophy," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(9), pages 855-871, July.
    4. David N. Laband & Robert D. Tollison, 2000. "Intellectual Collaboration," Journal of Political Economy, University of Chicago Press, vol. 108(3), pages 632-661, June.
    5. John Hudson, 1996. "Trends in Multi-authored Papers in Economics," Journal of Economic Perspectives, American Economic Association, vol. 10(3), pages 153-158, Summer.
    6. Benjamin F. Jones, 2010. "Age and Great Invention," The Review of Economics and Statistics, MIT Press, vol. 92(1), pages 1-14, February.
    7. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth through Creative Destruction," Econometrica, Econometric Society, vol. 60(2), pages 323-351, March.
    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. Alwyn Young, 1998. "Growth without Scale Effects," Journal of Political Economy, University of Chicago Press, vol. 106(1), pages 41-63, February.
    10. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
    11. McDowell, John M & Melvin, Michael, 1983. "The Determinants of Co-Authorship: An Analysis of the Economics Literature," The Review of Economics and Statistics, MIT Press, vol. 65(1), pages 155-160, February.
    12. Segerstrom, Paul S, 1998. "Endogenous Growth without Scale Effects," American Economic Review, American Economic Association, vol. 88(5), pages 1290-1310, December.
    13. Yoram Ben-Porath, 1967. "The Production of Human Capital and the Life Cycle of Earnings," Journal of Political Economy, University of Chicago Press, vol. 75(4), pages 352-352.
    14. Robert Evenson, 1984. "International Invention: Implications for Technology Market Analysis," NBER Chapters, in: R&D, Patents, and Productivity, pages 89-126, National Bureau of Economic Research, Inc.
    15. Martin L. Weitzman, 1998. "Recombinant Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(2), pages 331-360.
    16. Edwin Mansfield, 1986. "Patents and Innovation: An Empirical Study," Management Science, INFORMS, vol. 32(2), pages 173-181, February.
    17. Suzanne Scotchmer, 1991. "Standing on the Shoulders of Giants: Cumulative Research and the Patent Law," Journal of Economic Perspectives, American Economic Association, vol. 5(1), pages 29-41, Winter.
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    More about this item

    JEL classification:

    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity
    • J2 - Labor and Demographic Economics - - Demand and Supply of Labor
    • I2 - Health, Education, and Welfare - - Education

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