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Using patent citation patterns to infer innovation market competition

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  • Patel, Darshak
  • Ward, Michael R.

Abstract

We propose an empirical strategy to estimate competition in innovation markets. Our method relates firms' market return on equity to information about patent citation patterns. Two innovations are implemented in the methodology. First is the application of daily abnormal stock returns rather than annual measures of Tobin's q. Second is the creation of citation patterns related to the area of science a firm patents in as represented by the detailed patent classification system. We find that markets positively reward firms when patents are granted. We further find that firm's market value increases when its patent portfolio is cited. We find evidence of competition in innovation markets. The market reacts at the time that the citation occurs and does not anticipate future citations at the time of patenting. Holding this effect constant, we find that citations from patents in the same area of science tend to reduce market value. We interpret these findings as consistent with more citations indicating more valuable intellectual property but citations from competing technologies decreasing it.

Suggested Citation

  • Patel, Darshak & Ward, Michael R., 2011. "Using patent citation patterns to infer innovation market competition," Research Policy, Elsevier, vol. 40(6), pages 886-894, July.
  • Handle: RePEc:eee:respol:v:40:y:2011:i:6:p:886-894
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    Cited by:

    1. Zhang, Gupeng & Xiong, Libin & Duan, Hongbo & Huang, Dujuan, 2020. "Obtaining certainty vs. creating uncertainty: Does firms’ patent filing strategy work as expected?," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    2. Fernández, Ana María & Ferrándiz, Esther & Medina, Jennifer, 2022. "The diffusion of energy technologies. Evidence from renewable, fossil, and nuclear energy patents," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    3. Venturini, Francesco, 2012. "Looking into the black box of Schumpeterian growth theories: An empirical assessment of R&D races," European Economic Review, Elsevier, vol. 56(8), pages 1530-1545.
    4. Kathryn Rudie Harrigan & Maria Chiara Guardo & Elona Marku, 2018. "Patent value and the Tobin’s q ratio in media services," The Journal of Technology Transfer, Springer, vol. 43(1), pages 1-19, February.
    5. Frietsch, Rainer & Neuhäusler, Peter & Michels, Carolin & Dornbusch, Friedrich, 2014. "Medical research at universities – An international comparison," Studien zum deutschen Innovationssystem 8-2014, Expertenkommission Forschung und Innovation (EFI) - Commission of Experts for Research and Innovation, Berlin.
    6. Pantano, Eleonora & Priporas, Constantinos-Vasilios & Sorace, Stefano & Iazzolino, Gianpaolo, 2017. "Does innovation-orientation lead to retail industry growth? Empirical evidence from patent analysis," Journal of Retailing and Consumer Services, Elsevier, vol. 34(C), pages 88-94.
    7. Guijie Zhang & Guang Yu & Yuqiang Feng & Luning Liu & Zhenhua Yang, 2017. "Improving the publication delay model to characterize the patent granting process," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 621-637, May.
    8. Chunjuan Luan & Haiyan Hou & Yongtao Wang & Xianwen Wang, 2014. "Are significant inventions more diversified?," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(2), pages 459-470, August.
    9. Francesco Paolo Appio & Luigi de Luca & Robert Morgan & Antonella Martini, 2019. "Patent portfolio diversity and firm profitability: A question of specialization or diversification?," Post-Print halshs-02292360, HAL.
    10. Darren Filson & Saman Olfati & Fatos Radoniqi, 2015. "Evaluating Mergers in the Presence of Dynamic Competition Using Impacts on Rivals," Journal of Law and Economics, University of Chicago Press, vol. 58(4).
    11. Manuel Acosta & Daniel Coronado & Esther Ferrándiz & Manuel Jiménez, 2022. "Effects of knowledge spillovers between competitors on patent quality: what patent citations reveal about a global duopoly," The Journal of Technology Transfer, Springer, vol. 47(5), pages 1451-1487, October.
    12. Pantano, Eleonora & Priporas, Constantinos-Vasilios & Stylos, Nikolaos, 2018. "Knowledge Push Curve (KPC) in retailing: Evidence from patented innovations analysis affecting retailers' competitiveness," Journal of Retailing and Consumer Services, Elsevier, vol. 44(C), pages 150-160.
    13. Wei‐Kang Wang & Wen‐Min Lu & Qian Long Kweh & Hoang Tu Nhi Truong, 2020. "What do U.S. biopharmaceutical companies get from patents and research and development spikes for their dynamic corporate performance?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(5), pages 762-770, July.
    14. Haschka, Rouven E. & Herwartz, Helmut, 2020. "Innovation efficiency in European high-tech industries: Evidence from a Bayesian stochastic frontier approach," Research Policy, Elsevier, vol. 49(8).
    15. So Yoon Yoon & Su Jung Jee & So Young Sohn, 2021. "Mapping and identifying technological coopetition: a multi-level approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5797-5817, July.
    16. Pu-Yan Nie, 2013. "Innovation Under Spatial Duopoly," Prague Economic Papers, Prague University of Economics and Business, vol. 2013(4), pages 474-486.
    17. Kathryn Rudie Harrigan & Maria Chiara DiGuardo, 2017. "Sustainability of patent-based competitive advantage in the U.S. communications services industry," The Journal of Technology Transfer, Springer, vol. 42(6), pages 1334-1361, December.

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