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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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    References listed on IDEAS

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    Cited by:

    1. Hiroyasu Inoue, 2018. "The community structure of business establishments and its properties: evidence from joint patent applications," Evolutionary and Institutional Economics Review, Springer, vol. 15(2), pages 465-475, December.
    2. Jensen, Scott & Liu, Xiaozhong & Yu, Yingying & Milojevic, Staša, 2016. "Generation of topic evolution trees from heterogeneous bibliographic networks," Journal of Informetrics, Elsevier, vol. 10(2), pages 606-621.
    3. Doherr, Thorsten, 2021. "Disambiguation by namesake risk assessment," ZEW Discussion Papers 21-021, ZEW - Leibniz Centre for European Economic Research.
    4. Grant C. Black & Paula E. Stephan, 2010. "The Economics of University Science and the Role of Foreign Graduate Students and Postdoctoral Scholars," NBER Chapters, in: American Universities in a Global Market, pages 129-161, National Bureau of Economic Research, Inc.
    5. Benjamin F. Jones, 2008. "The Knowledge Trap: Human Capital and Development Reconsidered," NBER Working Papers 14138, National Bureau of Economic Research, Inc.
    6. Manuel Trajtenberg & Gil Shiff & Ran Melamed, 2009. "The "Names Game": Harnessing Inventors, Patent Data for Economic Research," Annals of Economics and Statistics, GENES, issue 93-94, pages 67-77.
    7. Molina-Domene, Maria, 2018. "Labor specialization as a source of market frictions," LSE Research Online Documents on Economics 91703, London School of Economics and Political Science, LSE Library.
    8. Ngai, L. Rachel & Samaniego, Roberto M., 2006. "An R&D-based model of multi-sector growth," LSE Research Online Documents on Economics 3527, London School of Economics and Political Science, LSE Library.
    9. Maria Molina-Domene, 2018. "Labor specialization as a source of market frictions," CEP Discussion Papers dp1580, Centre for Economic Performance, LSE.
    10. Iacopetta, Maurizio, 2010. "Phases of economic development and the transitional dynamics of an innovation-education growth model," European Economic Review, Elsevier, vol. 54(2), pages 317-330, February.
    11. Ventura, Samuel L. & Nugent, Rebecca & Fuchs, Erica R.H., 2015. "Seeing the non-stars: (Some) sources of bias in past disambiguation approaches and a new public tool leveraging labeled records," Research Policy, Elsevier, vol. 44(9), pages 1672-1701.

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