IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v73y2007i1d10.1007_s11192-007-1749-1.html
   My bibliography  Save this article

Issued US patents, patent-related global academic and media publications, and the US market indices are inter-correlated, with varying growth patterns

Author

Listed:
  • Iraj Daizadeh

    (Amgen, Inc.)

Abstract

The increase in patents is a main driving force for discussions of international competitiveness, knowledge spillovers, patent office efficiencies, and others. However, to the author’s knowledge, it is interesting that no work has investigated the impact of the growth in the number of patents on patent-related scholarly (peer-reviewed) and media (e.g., press release) literatures, or evidence of inter-relatedness among these three literatures with those of the US market indices (viz., Dow, S&P500, NASDAQ). Here, I report that the growth in the number of US issued patents, the patent-related media and peer-reviewed publications, and these indices are statistically correlated, but with drastically different growth rates. This general result affords data supporting a hypothesis that publicly traded companies, as drivers of innovation, are priming a new research area within the scholarly communities and simultaneously affecting market value through, what-may-be-called, “patent journalism.”

Suggested Citation

  • Iraj Daizadeh, 2007. "Issued US patents, patent-related global academic and media publications, and the US market indices are inter-correlated, with varying growth patterns," Scientometrics, Springer;Akadémiai Kiadó, vol. 73(1), pages 29-36, October.
    • Handle: RePEc:spr:scient:v:73:y:2007:i:1:d:10.1007_s11192-007-1749-1
    DOI: 10.1007/s11192-007-1749-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-007-1749-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-007-1749-1?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Iain M. Cockburn & Samuel Kortum & Scott Stern, 2002. "Are All Patent Examiners Equal? The Impact of Examiner Characteristics," NBER Working Papers 8980, National Bureau of Economic Research, Inc.
    2. Austin, David H, 1993. "An Event-Study Approach to Measuring Innovative Output: The Case of Biotechnology," American Economic Review, American Economic Association, vol. 83(2), pages 253-258, May.
    3. Parthasarathi Banerjee & B. M. Gupta & K. C. Garg, 2000. "Patent Statistics as Indicators of Competition an Analysis of Patenting in Biotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 47(1), pages 95-116, January.
    4. Fung, Michael K. & Chow, William W., 2002. "Measuring the intensity of knowledge flow with patent statistics," Economics Letters, Elsevier, vol. 74(3), pages 353-358, February.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. BokHyun Lee, 2018. "The Relationship between Technology Life Cycle and Korean Stock Market Performance," IJFS, MDPI, vol. 6(4), pages 1-22, October.
    2. Iraj Daizadeh, 2021. "Leveraging latent persistency in United States patent and trademark applications to gain insight into the evolution of an innovation-driven economy," Papers 2101.02588, arXiv.org, revised May 2021.
    3. Iraj Daizadeh, 2020. "Trademark filings and patent application count time series are structurally near-identical and cointegrated: Implications for studies in innovation," Papers 2012.10400, arXiv.org.

    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. Henri A. Schildt & Markku V.J. Maula & Thomas Keil, 2005. "Explorative and Exploitative Learning from External Corporate Ventures," Entrepreneurship Theory and Practice, , vol. 29(4), pages 493-515, July.
    2. Yu-Shan Chen & Ke-Chiun Chang, 2009. "Using neural network to analyze the influence of the patent performance upon the market value of the US pharmaceutical companies," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(3), pages 637-655, September.
    3. Hirschey, Mark & Richardson, Vernon J., 2001. "Valuation effects of patent quality: A comparison for Japanese and U.S. firms," Pacific-Basin Finance Journal, Elsevier, vol. 9(1), pages 65-82, January.
    4. Danilo Cascaldi-Garcia & Marija Vukotic, 2022. "Patent-Based News Shocks," The Review of Economics and Statistics, MIT Press, vol. 104(1), pages 51-66, March.
    5. Diemer, Andreas & Regan, Tanner, 2022. "No inventor is an island: Social connectedness and the geography of knowledge flows in the US," Research Policy, Elsevier, vol. 51(2).
    6. Inchae Park & Yujin Jeong & Byungun Yoon, 2017. "Analyzing the value of technology based on the differences of patent citations between applicants and examiners," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 665-691, May.
    7. Sang-Lyul Ryu & Jayoun Won, 2022. "The Value Relevance of Operational Innovation: Insights from the Perspective of Firm Life Cycle," Sustainability, MDPI, vol. 14(4), pages 1-18, February.
    8. Bryan Kelly & Dimitris Papanikolaou & Amit Seru & Matt Taddy, 2021. "Measuring Technological Innovation over the Long Run," American Economic Review: Insights, American Economic Association, vol. 3(3), pages 303-320, September.
    9. Caillaud, Bernard & Duchêne, Anne, 2011. "Patent office in innovation policy: Nobody's perfect," International Journal of Industrial Organization, Elsevier, vol. 29(2), pages 242-252, March.
    10. Langinier, Corinne, 2006. "Pool of Basic Patents and Follow-Up Innovations," Staff General Research Papers Archive 12647, Iowa State University, Department of Economics.
    11. Jürgen Antony & Thomas Grebel, 2012. "Technology flows between sectors and their impact on large-scale firms," Applied Economics, Taylor & Francis Journals, vol. 44(20), pages 2637-2651, July.
    12. Rathi, Sawan & Majumdar, Adrija & Chatterjee, Chirantan, 2024. "Did the COVID-19 pandemic propel usage of AI in pharmaceutical innovation? New evidence from patenting data," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    13. Leonid Kogan & Dimitris Papanikolaou & Amit Seru & Noah Stoffman, 2017. "Technological Innovation, Resource Allocation, and Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(2), pages 665-712.
    14. Blazsek, Szabolcs & Escribano, Alvaro, 2010. "Knowledge spillovers in US patents: A dynamic patent intensity model with secret common innovation factors," Journal of Econometrics, Elsevier, vol. 159(1), pages 14-32, November.
    15. Bruno van Pottelsberghe de la Potterie, 2011. "The quality factor in patent systems," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 20(6), pages 1755-1793, December.
    16. Cesare Righi & Timothy Simcoe, 2020. "Patenting Inventions or Inventing Patents? Continuation Practice at the USPTO," NBER Working Papers 27686, National Bureau of Economic Research, Inc.
    17. Barirani, Ahmad & Beaudry, Catherine & Agard, Bruno, 2017. "Can universities profit from general purpose inventions? The case of Canadian nanotechnology patents," Technological Forecasting and Social Change, Elsevier, vol. 120(C), pages 271-283.
    18. Bergeaud Antonin & Schmidt Julia & Zago Riccardo, 2022. "Patents that Match your Standards: Firm-level Evidence on Competition and Growth," Working papers 876, Banque de France.
    19. Patrick Gaulé, 2018. "Patents and the Success of Venture‐Capital Backed Startups: Using Examiner Assignment to Estimate Causal Effects," Journal of Industrial Economics, Wiley Blackwell, vol. 66(2), pages 350-376, June.
    20. Yanan Liang & Cheng Zhang, 2024. "Digital transformation and total factor productivity of enterprises: evidence from China," Economic Change and Restructuring, Springer, vol. 57(1), pages 1-22, February.

    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:spr:scient:v:73:y:2007:i:1:d:10.1007_s11192-007-1749-1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.