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What Drives Innovation? Lessons from COVID-19 R&D

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  • Agarwal, Ruchir

    (International Monetary Fund)

  • Gaule, Patrick

    (University of Bristol)

Abstract

To examine the drivers of innovation, this paper studies the global R&D effort to fight the deadliest diseases and presents four results. We find: (1) global pharmaceutical R&D activity—measured by clinical trials—typically follows the 'law of diminishing efforts': i.e. the elasticity of R&D effort with respect to market size is about 1/2 in the cross-section of diseases; (2) the R&D response to COVID-19 has been a major exception to this law, with the number of COVID-19 trials being 7 to 20 times greater than that implied by its market size; (3) the aggregate short-term elasticity of science and innovation can be very large, as demonstrated by aggregate flow of clinical trials increasing by 38% in 2020, with limited crowding out of trials for non-COVID diseases; and (4) public institutions and government-led incentives were a key driver of the COVID-19 R&D effort—with public research institutions accounting for 70 percent of all COVID-19 clinical trials globally and being 10 percentage points more likely to conduct a COVID-19 trial relative to private firms. Overall, while economists are naturally in favor of market size as a driving force for innovation (i.e."if the market size is sufficiently large then innovation will happen"), our work suggests that scaling up global innovation may require a broader perspective on the drivers of innovation—including early-stage incentives, non-monetary incentives, and public institutions.

Suggested Citation

  • Agarwal, Ruchir & Gaule, Patrick, 2021. "What Drives Innovation? Lessons from COVID-19 R&D," IZA Discussion Papers 14079, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp14079
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    Cited by:

    1. Daniel P. Gross & Bhaven N. Sampat, 2022. "Crisis Innovation Policy from World War II to COVID-19," Entrepreneurship and Innovation Policy and the Economy, University of Chicago Press, vol. 1(1), pages 135-181.
    2. Laura Grigolon & Laura Lasio, 2023. "Biased Beliefs and Stigma as Barriers to Treatment and Innovation Adoption," CRC TR 224 Discussion Paper Series crctr224_2023_277v2, University of Bonn and University of Mannheim, Germany.
    3. Heinrich, Torsten & Yang, Jangho, 2022. "Innovation in times of Covid-19," MPRA Paper 115809, University Library of Munich, Germany.
    4. Ruchir Agarwal & Tristan Reed, 2022. "Financing vaccine equity: funding for day-zero of the next pandemic [‘What Drives Innovation? Lessons from COVID-19 R&D’]," Oxford Review of Economic Policy, Oxford University Press, vol. 38(4), pages 833-850.
    5. Aggarwal, Mayank & Chakrabarti, Anindya S. & Chatterjee, Chirantan & Higgins, Matthew J., 2023. "Research and market structure: Evidence from an antibiotic-resistant pathogenic outbreak," Research Policy, Elsevier, vol. 52(1).
    6. Torsten Heinrich & Jangho Yang, 2022. "Innovation in times of Covid-19," Papers 2212.14159, arXiv.org.
    7. Torsten Heinrich & Jangho Yang, 2022. "Innovation in times of Covid-19," Chemnitz Economic Papers 058, Department of Economics, Chemnitz University of Technology.
    8. Berkes, Enrico & Coluccia, Davide M. & Dossi, Gaia Greta & Squicciarini, Mara P., 2023. "Dealing with adversity: religiosity or science? Evidence from the great influenza pandemic," LSE Research Online Documents on Economics 121318, London School of Economics and Political Science, LSE Library.
    9. Jacques Bughin & Francis Hinterman & Sybille Berjoan, 2022. "A Good Crisis (not) Wasted: How Exploiting and Expanding Dynamic Capabilities Shape Corporate Performance During the Covid Pandemic," Working Papers TIMES² WP2022-051, ULB -- Universite Libre de Bruxelles.
    10. Enrico Berkes & Davide M. Coluccia & Gaia Dossi & Mara P. Squicciarini, 2023. "Dealing with adversity: Religiosity or science? Evidence from the great influenza pandemic," POID Working Papers 068, Centre for Economic Performance, LSE.
    11. Bryan, Kevin A. & Lemus, Jorge & Marshall, Guillermo, 2022. "R&D competition and the direction of innovation," International Journal of Industrial Organization, Elsevier, vol. 82(C).
    12. Haas, Christian & Kempa, Karol & Moslener, Ulf, 2023. "Dealing with deep uncertainty in the energy transition: What we can learn from the electricity and transportation sectors," Energy Policy, Elsevier, vol. 179(C).
    13. Enrico Berkes & Davide M. Coluccia & Gaia Dossi & Mara P. Squicciarini, 2023. "Dealing with adversity: religiosity or science? Evidence from the great influenza pandemic," CEP Discussion Papers dp1927, Centre for Economic Performance, LSE.
    14. Wen, Jun & Wang, Siqin & Yang, Xiuyun & Zhou, Xiaozhou, 2023. "Impacts of epidemics on innovation: An empirical analysis," Technovation, Elsevier, vol. 119(C).

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    More about this item

    Keywords

    COVID-19; innovation; market size; pharmaceutical industry;
    All these keywords.

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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