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Patent strength and optimal two-part tariff licensing with a potential rival incorporating ad valorem royalties

Author

Listed:
  • San Martín, Marta
  • Saracho, Ana I.

Abstract

We show that an internal patentee may prefer to use ad valorem royalties instead of per-unit royalties in the licensing contract of a new product to a potential rival who may develop a substitute good.

Suggested Citation

  • San Martín, Marta & Saracho, Ana I., 2016. "Patent strength and optimal two-part tariff licensing with a potential rival incorporating ad valorem royalties," Economics Letters, Elsevier, vol. 143(C), pages 28-31.
    • Handle: RePEc:eee:ecolet:v:143:y:2016:i:c:p:28-31
    DOI: 10.1016/j.econlet.2016.03.006
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    Citations

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    Cited by:

    1. Manel Antelo & Lluís Bru, 2022. "Per-unit versus ad-valorem royalty licensing in a Stackelberg market," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 49(1), pages 95-109, March.
    2. Wu, Cheng-Han & Kao, Yi-Jhe, 2018. "Cooperation regarding technology development in a closed-loop supply chain," European Journal of Operational Research, Elsevier, vol. 267(2), pages 523-539.
    3. Aika Monden & Katsuyoshi Takashima & Yusuke Zennyo, 2021. "Revenue‐Sharing Contracts under Demand Uncertainty in Shopping Center," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 49(2), pages 556-573, June.
    4. Montinaro, Marta & Scrimitore, Marcella, 2019. "Per unit and ad valorem royalties in a patent licensing game," MPRA Paper 96642, University Library of Munich, Germany.
    5. Shuai Niu, 2017. "Profit-sharing licensing," Journal of Economics, Springer, vol. 121(3), pages 267-278, July.

    More about this item

    Keywords

    Patent licensing; Ad valorem royalty; Per-unit royalty; Differentiated Cournot duopoly;
    All these keywords.

    JEL classification:

    • D45 - Microeconomics - - Market Structure, Pricing, and Design - - - Rationing; Licensing

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