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Distorted Innovation: Does the Market Get the Direction of Technology Right?

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  • Daron Acemoglu

Abstract

In the presence of markup differences, externalities and other social considerations, the equilibrium direction of innovation can be systematically distorted. This paper builds a simple model of endogenous technology, which generalizes existing comparative static results and characterizes potential distortions in the direction of innovation. I show that empirical findings across a number of different areas are consistent with this framework's predictions and I use data from several studies to estimate its key parameters. Combining these numbers with rough estimates of differential externalities and markups, I provide suggestive evidence that equilibrium distortions in the direction of technology can be substantial in the context of industrial automation, health care, and energy, and correcting these distortions could have sizable welfare benefits.

Suggested Citation

  • Daron Acemoglu, 2023. "Distorted Innovation: Does the Market Get the Direction of Technology Right?," NBER Working Papers 30922, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:30922
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    Cited by:

    1. Jin, Laiqun & Dai, Jiaying & Jiang, Weijie & Cao, Kairui, 2023. "Digital finance and misallocation of resources among firms: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 66(C).
    2. Clemens Fuest & Daniel Gros & Philipp-Leo Mengel & Giorgio Presidente & Jean Jean Tirole, 2024. "EU Innovation Policy: How to Escape the Middle Technology Trap," EconPol Policy Reports Report, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    3. Huwe, Vera & Henze, Levi T. & Steitz, Janek, 2023. "16 Gründe für schnelles Handeln: Kipppunkte und ihre Bedeutung für die Klimapolitik," Papers 277908, Dezernat Zukunft - Institute for Macrofinance, Berlin.
    4. Chen, Fanglin & Chen, Zhongfei & Zhang, Xin, 2024. "Belated stock returns for green innovation under carbon emissions trading market," Journal of Corporate Finance, Elsevier, vol. 85(C).
    5. Naudé, Wim, 2023. "We Already Live in a Degrowth World, and We Do Not like It," IZA Discussion Papers 16191, Institute of Labor Economics (IZA).
    6. Jin, Laiqun & Cao, Kairui & Li, Jiaye & Xu, Qunfang, 2024. "Information infrastructure construction and optimization of resources allocation among firms: Evidence from “Broadband China” strategy," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 36-53.

    More about this item

    JEL classification:

    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • L65 - Industrial Organization - - Industry Studies: Manufacturing - - - Chemicals; Rubber; Drugs; Biotechnology; Plastics
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • 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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