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A Calculation of the Social Returns to Innovation

In: Innovation and Public Policy

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  • Benjamin F. Jones
  • Lawrence H. Summers

Abstract

This paper estimates the social returns to investments in innovation. The disparate spillovers associated with innovation, including imitation, business stealing, and intertemporal spillovers, have made calculations of the social returns difficult. Here we provide an economy-wide calculation that nets out the many spillover margins. We further assess the role of capital investment, diffusion delays, learning-by-doing, productivity mismeasurement, health outcomes, and international spillovers in assessing the average social returns. Overall, our estimates suggest that the social returns are very large. Even under conservative assumptions, innovation efforts produce social benefits that are many multiples of the investment costs.
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Suggested Citation

  • Benjamin F. Jones & Lawrence H. Summers, 2020. "A Calculation of the Social Returns to Innovation," NBER Chapters, in: Innovation and Public Policy, pages 13-59, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberch:14422
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    5. Katherine Wynn & Mingji Liu & Jasmine Cohen, 2022. "Quantifying the economy‐wide returns to innovation for Australia," Australian Economic Papers, Wiley Blackwell, vol. 61(3), pages 591-614, September.
    6. Lin, Yiling & Evans, James A. & Wu, Lingfei, 2022. "New directions in science emerge from disconnection and discord," Journal of Informetrics, Elsevier, vol. 16(1).
    7. Lichter, Andreas & Löffler, Max & Isphording, Ingo Eduard & Nguyen, Thu-Van & Poege, Felix & Siegloch, Sebastian, 2021. "Profit taxation, R&D spending, and innovation," ZEW Discussion Papers 21-080, ZEW - Leibniz Centre for European Economic Research.
    8. Diane Coyle & Kieran Lind & David Nguyen & Manuel Tong, 2022. "Are digital-using UK firms more productive?," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2022-06, Economic Statistics Centre of Excellence (ESCoE).
    9. Auboin, Marc & Koopman, Robert & Xu, Ankai, 2021. "Trade and innovation policies: Coexistence and spillovers," Journal of Policy Modeling, Elsevier, vol. 43(4), pages 844-872.
    10. Diane Coyle & Wendy Li, 2021. "The Data Economy: Market Size and Global Trade," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2021-09, Economic Statistics Centre of Excellence (ESCoE).
    11. Alston, Julian M. & Pardey, Philip G., 2022. "Are Ideas Really Getting Harder to Find?," Staff Papers 320517, University of Minnesota, Department of Applied Economics.
    12. Andreas Lichtenberger & Joao Paulo Braga & Willi Semmler, 2022. "Green Bonds for the Transition to a Low-Carbon Economy," Econometrics, MDPI, vol. 10(1), pages 1-31, March.
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    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

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