IDEAS home Printed from https://ideas.repec.org/a/bla/randje/v50y2019i3p568-590.html
   My bibliography  Save this article

Sequential innovation, patent policy, and the dynamics of the replacement effect

Author

Listed:
  • Álvaro Parra

Abstract

I study how patent policy—characterized by patent length and forward protection—affects Research and Development (R&D) dynamics, leadership persistence, and market structure. Firms' R&D investments increase as the patent's expiration date approaches. Through forward protection, followers internalize the leader's replacement effect. In protective systems, this internalization is substantial, reversing Arrow's traditional result: followers invest less than leaders at every moment of the patent's life. I study the policy that maximizes innovative activity. Overly protective policies decrease innovation pace through two mechanisms: delaying firms' investments toward the end of the patent's life and decreasing the number of firms performing R&D.

Suggested Citation

  • Álvaro Parra, 2019. "Sequential innovation, patent policy, and the dynamics of the replacement effect," RAND Journal of Economics, RAND Corporation, vol. 50(3), pages 568-590, September.
  • Handle: RePEc:bla:randje:v:50:y:2019:i:3:p:568-590
    DOI: 10.1111/1756-2171.12287
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/1756-2171.12287
    Download Restriction: no

    File URL: https://libkey.io/10.1111/1756-2171.12287?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Luca Sandrini, 2020. "Innovation, Competition, and Incomplete Adoption of a Superior Technology," "Marco Fanno" Working Papers 0251, Dipartimento di Scienze Economiche "Marco Fanno".
    2. Yves Guéron & Jihong Lee, 2022. "Learning by Selling, Knowledge Spillovers, and Patents," Journal of Industrial Economics, Wiley Blackwell, vol. 70(4), pages 867-912, December.
    3. Yi Shen & Xiaoxin Yang, 2022. "Study on the Impact of Breakthrough and Incremental Innovation on Firm Capacity Utilization," Sustainability, MDPI, vol. 14(22), pages 1-17, November.
    4. Marshall, Guillermo & Parra, Álvaro, 2019. "Innovation and competition: The role of the product market," International Journal of Industrial Organization, Elsevier, vol. 65(C), pages 221-247.
    5. Jiafeng Gu, 2021. "Effects of Patent Policy on Outputs and Commercialization of Academic Patents in China: A Spatial Difference-in-Differences Analysis," Sustainability, MDPI, vol. 13(23), pages 1-17, December.
    6. Denicolò, Vincenzo & Zanchettin, Piercarlo, 2022. "Patent protection for complex technologies," International Journal of Industrial Organization, Elsevier, vol. 81(C).
    7. Yihao Cao & Ehsan Elahi & Zainab Khalid & Ping Li & Pengsheng Sun, 2023. "How Do Intellectual Property Rights Affect Green Technological Innovation? Empirical Evidence from China," Sustainability, MDPI, vol. 15(10), pages 1-17, May.
    8. Luca Sandrini, 2023. "Price vs Market Share with Royalty Licensing: Incomplete Adoption of a Superior Technology with Heterogeneous Firms," Discussion Papers 2302, Budapest University of Technology and Economics, Quantitative Social and Management Sciences.
    9. Daniel Alonso-Martínez & Nuria González-Álvarez & Mariano Nieto, 2021. "Does international patent collaboration have an effect on entrepreneurship?," Journal of International Entrepreneurship, Springer, vol. 19(4), pages 539-559, December.
    10. Hurmelinna-Laukkanen, Pia & Yang, Jialei, 2022. "Distinguishing between appropriability and appropriation: A systematic review and a renewed conceptual framing," Research Policy, Elsevier, vol. 51(1).
    11. Krasteva, Silvana & Sharma, Priyanka & Wang, Chu, 2020. "Patent policy, imitation incentives, and the rate of cumulative innovation," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 509-533.
    12. Sergey M. Aseev & Masakazu Katsumoto, 2020. "On Optimal Leader’s Investments Strategy in a Cyclic Model of Innovation Race with Random Inventions Times," Games, MDPI, vol. 11(4), pages 1-21, November.
    13. Shi, Xiaoxuan & Song, Yuchen & Wang, Xi, 2023. "Intellectual property rights enforcement and mergers and acquisitions: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
    14. Minjie Li & Mengjun Meng & Yihui Chen, 2024. "The impact of the digital economy on green innovation: the moderating role of fiscal decentralization," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-33, April.

    More about this item

    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:bla:randje:v:50:y:2019:i:3:p:568-590. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/randdus.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.