IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/115809.html
   My bibliography  Save this paper

Innovation in times of Covid-19

Author

Listed:
  • Heinrich, Torsten
  • Yang, Jangho

Abstract

Did the Covid-19 pandemic have an impact on innovation? Past economic disruptions, anecdotal evidence, and the previous literature suggest a decline with substantial differences between industries. We leverage USPTO patent application data to investigate and quantify the disturbance. We assess differences by field of technology (at the CPC subclass level) as well as the impact of direct and indirect relevance for the management of the pandemic. Direct Covid-19 relevance is identified from a keyword search of the patent application fulltexts; indirect Covid-19 relevance is derived from past CPC subclass to subclass citation patterns. We find that direct Covid-19 relevance is associated with a strong boost to the growth of the number of patent applications in the first year of the pandemic at the same order of magnitude (in percentage points) as the percentage of patents referencing Covid-19. We find no effect for indirect Covid-19 relevance, indicating a focus on applied research at the expense of more basic research. Fields of technology (CPC mainsections) have an additional significant impact, with, e.g., mainsections A (human necessities) and C (chemistry, metallurgy) having a strong performance.

Suggested Citation

  • Heinrich, Torsten & Yang, Jangho, 2022. "Innovation in times of Covid-19," MPRA Paper 115809, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:115809
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/115809/1/MPRA_paper_115809.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Agarwal, Ruchir & Gaule, Patrick, 2022. "What drives innovation? Lessons from COVID-19 R&D," Journal of Health Economics, Elsevier, vol. 82(C).
    2. Kim, Bongsun & Kim, Eonsoo & Miller, Douglas J. & Mahoney, Joseph T., 2016. "The impact of the timing of patents on innovation performance," Research Policy, Elsevier, vol. 45(4), pages 914-928.
    3. Lafond, François & Greenwald, Diana & Farmer, J. Doyne, 2022. "Can Stimulating Demand Drive Costs Down? World War II as a Natural Experiment," The Journal of Economic History, Cambridge University Press, vol. 82(3), pages 727-764, September.
    4. Massimo FLORIO, 2021. "Patents for Covid-19 vaccines are based on public research: a case study on the privatization of knowledge," CIRIEC Working Papers 2103, CIRIEC - Université de Liège.
    5. Brem, Alexander & Nylund, Petra & Viardot, Eric, 2020. "The impact of the 2008 financial crisis on innovation: A dominant design perspective," Journal of Business Research, Elsevier, vol. 110(C), pages 360-369.
    6. Archibugi, Daniele & Filippetti, Andrea & Frenz, Marion, 2013. "Economic crisis and innovation: Is destruction prevailing over accumulation?," Research Policy, Elsevier, vol. 42(2), pages 303-314.
    7. Massimo Florio, 2022. "To what extent patents for Covid-19 mRNA vaccines are based on public research and taxpayers’ funding? A case study on the privatization of knowledge [For Billion-Dollar COVID Vaccines, Basic Gover," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 31(5), pages 1137-1151.
    8. Brem, Alexander & Viardot, Eric & Nylund, Petra A., 2021. "Implications of the coronavirus (COVID-19) outbreak for innovation: Which technologies will improve our lives?," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    9. Nicholas Bloom & Steven J. Davis & Yulia Zhestkova, 2021. "COVID-19 Shifted Patent Applications toward Technologies That Support Working from Home," AEA Papers and Proceedings, American Economic Association, vol. 111, pages 263-266, May.
    10. Daniel P. Gross & Bhaven N. Sampat, 2021. "The Economics of Crisis Innovation Policy: A Historical Perspective," AEA Papers and Proceedings, American Economic Association, vol. 111, pages 346-350, May.
    11. Jarque, Carlos M. & Bera, Anil K., 1980. "Efficient tests for normality, homoscedasticity and serial independence of regression residuals," Economics Letters, Elsevier, vol. 6(3), pages 255-259.
    12. Amore, Mario Daniele, 2015. "Companies learning to innovate in recessions," Research Policy, Elsevier, vol. 44(8), pages 1574-1583.
    13. Enrico Berkes & Olivier Deschenes & Ruben Gaetani & Jeffrey Lin & Christopher Severen, 2020. "Lockdowns and Innovation: Evidence from the 1918 Flu Pandemic," NBER Working Papers 28152, National Bureau of Economic Research, Inc.
    14. Kenneth Arrow, 1962. "Economic Welfare and the Allocation of Resources for Invention," NBER Chapters, in: The Rate and Direction of Inventive Activity: Economic and Social Factors, pages 609-626, National Bureau of Economic Research, Inc.
    15. Richard R. Nelson, 1959. "The Simple Economics of Basic Scientific Research," Journal of Political Economy, University of Chicago Press, vol. 67(3), pages 297-297.
    16. Yamashita, Nobuaki, 2021. "Economic crisis and innovation capacity of Japan: Evidence from cross-country patent citations," Technovation, Elsevier, vol. 101(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Torsten Heinrich & Jangho Yang, 2022. "Innovation in times of Covid-19," Papers 2212.14159, arXiv.org.
    2. Torsten Heinrich & Jangho Yang, 2022. "Innovation in times of Covid-19," Chemnitz Economic Papers 058, Department of Economics, Chemnitz University of Technology.
    3. Armand, Alex & Mendi, Pedro, 2018. "Demand drops and innovation investments: Evidence from the Great Recession in Spain," Research Policy, Elsevier, vol. 47(7), pages 1321-1333.
    4. Inglesi-Lotz, Roula, 2017. "Social rate of return to R&D on various energy technologies: Where should we invest more? A study of G7 countries," Energy Policy, Elsevier, vol. 101(C), pages 521-525.
    5. Daniel P. Gross & Bhaven N. Sampat, 2021. "The Economics of Crisis Innovation Policy: A Historical Perspective," AEA Papers and Proceedings, American Economic Association, vol. 111, pages 346-350, May.
    6. Bronwyn Hall & Alessandro Maffioli, 2008. "Evaluating the impact of technology development funds in emerging economies: evidence from Latin America," The European Journal of Development Research, Taylor and Francis Journals, vol. 20(2), pages 172-198.
    7. Antonelli, Cristiano, 2017. "Digital knowledge generation and the appropriability trade-off," Telecommunications Policy, Elsevier, vol. 41(10), pages 991-1002.
    8. Carayol, Nicolas & Dalle, Jean-Michel, 2007. "Sequential problem choice and the reward system in Open Science," Structural Change and Economic Dynamics, Elsevier, vol. 18(2), pages 167-191, June.
    9. Valérie Revest & Alessandro Sapio, 2012. "Financing technology-based small firms in Europe: what do we know?," Small Business Economics, Springer, vol. 39(1), pages 179-205, July.
    10. Penin, Julien, 2005. "Patents versus ex post rewards: A new look," Research Policy, Elsevier, vol. 34(5), pages 641-656, June.
    11. Kancs, d’Artis & Siliverstovs, Boriss, 2016. "R&D and non-linear productivity growth," Research Policy, Elsevier, vol. 45(3), pages 634-646.
    12. Paul A. David, 2005. "The Economic Logic of “Open Science” and the Balance between Private Property Rights and the Public Domain in Scientific Data and," Development and Comp Systems 0502006, University Library of Munich, Germany.
    13. José Miguel Benavente & Gustavo Crespi & Alessandro Maffioli, 2007. "The Impact of National Research Funds: An Evaluation of the Chilean FONDECYT," OVE Working Papers 0307, Inter-American Development Bank, Office of Evaluation and Oversight (OVE).
    14. Cristiano, Antonelli & Scellato, Giuseppe, 2007. "Complexity and Innovation: Social Interactions and Firm Level Total Factor Productivity," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 200709, University of Turin.
    15. Bernhard Ganglmair & Imke Reimers, 2019. "Visibility of Technology and Cumulative Innovation: Evidence from Trade Secrets Laws," CRC TR 224 Discussion Paper Series crctr224_2019_119v1, University of Bonn and University of Mannheim, Germany.
    16. Joly, P. B. & Mangematin, V., 1996. "Profile of public laboratories, industrial partnerships and organisation of R & D: the dynamics of industrial relationships in a large research organisation," Research Policy, Elsevier, vol. 25(6), pages 901-922, September.
    17. Figueroa, Nicolás & Serrano, Carlos J., 2019. "Patent trading flows of small and large firms," Research Policy, Elsevier, vol. 48(7), pages 1601-1616.
    18. Alexander Galetovic & Ángel Cabrera, "undated". "Tópicos en la Economía de la Investigación Tecnológica," Documentos de Trabajo 121, Instituto de Economia. Pontificia Universidad Católica de Chile..
    19. Tom Broekel & Lars Mewes, 2017. "Analyzing the impact of R&D policy on regional diversification," Papers in Evolutionary Economic Geography (PEEG) 1726, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Sep 2017.
    20. Dimos, Christos & Pugh, Geoff & Hisarciklilar, Mehtap & Talam, Ema & Jackson, Ian, 2022. "The relative effectiveness of R&D tax credits and R&D subsidies: A comparative meta-regression analysis," Technovation, Elsevier, vol. 115(C).

    More about this item

    Keywords

    innovation; Covid-19; patent applications; technological change;
    All these keywords.

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:115809. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.