IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/9780.html
   My bibliography  Save this paper

Measuring Success of Advanced Technology Program Participation Using Archival Data

Author

Listed:
  • Lynne G. Zucker
  • Michael R. Darby

Abstract

This paper examines the value of collecting archival data to evaluate the Advanced Technology Program's (ATP) impact on participants' short- and long-term business success. We use two types of indicators of business success: patenting activity which can be tracked for all participants, and financial market data which is extensive for public firms but limited for start-up and other private firms to receipt of venture capital, membership in joint ventures and strategic alliances, and going public in issuing stock. We compare effects of program design differences, primarily joint venture versus single participant projects, on changes in the rate of patenting before and after participation in ATP. The discussion of patent archives serves to document data for later analyses; discussion of other data sources is intended both to guide other researchers and to inform administrative decisions about collecting similar archival data as part of routine assessment activity. We find that patenting rates generally increase after ATP participation under a number of different program and participant variations. Joint venture participants consistently show increases in patenting after beginning ATP participation, while results vary with definitions for single participants. We also demonstrate that it is possible to identify the timing and amounts of receipt of venture capital by private firms participating in ATP.

Suggested Citation

  • Lynne G. Zucker & Michael R. Darby, 2003. "Measuring Success of Advanced Technology Program Participation Using Archival Data," NBER Working Papers 9780, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:9780
    Note: PR
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w9780.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. repec:fth:harver:1473 is not listed on IDEAS
    2. Zoltan J. Acs & David B. Audretsch, 2008. "Innovation in Large and Small Firms: An Empirical Analysis," Chapters, in: Entrepreneurship, Growth and Public Policy, chapter 1, pages 3-15, Edward Elgar Publishing.
    3. Philippe Aghion & Jean Tirole, 1994. "The Management of Innovation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(4), pages 1185-1209.
    4. Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 287-343, National Bureau of Economic Research, Inc.
    5. Michael R. Darby & Lynne G. Zucker & Andrew Wang, 2003. "Universities, Joint Ventures, and Success in the Advanced Technology Program," NBER Working Papers 9463, National Bureau of Economic Research, Inc.
    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. Carlos J. Serrano, 2010. "The dynamics of the transfer and renewal of patents," RAND Journal of Economics, RAND Corporation, vol. 41(4), pages 686-708, December.
    2. Alena Zemplinerova, 2010. "Competition policy and economic analysis: What can we learn from firm and industry data?," CERGE-EI Books, The Center for Economic Research and Graduate Education - Economics Institute, Prague, edition 1, number b07, May.
    3. Mariagrazia Squicciarini, 2008. "Science Parks’ tenants versus out-of-Park firms: who innovates more? A duration model," The Journal of Technology Transfer, Springer, vol. 33(1), pages 45-71, February.
    4. Geraldo Cerqueiro & Deepak Hegde & María Fabiana Penas & Robert C. Seamans, 2017. "Debtor Rights, Credit Supply, and Innovation," Management Science, INFORMS, vol. 63(10), pages 3311-3327, October.
    5. Mariagrazia Squicciarini, 2009. "Science parks: seedbeds of innovation? A duration analysis of firms’ patenting activity," Small Business Economics, Springer, vol. 32(2), pages 169-190, February.
    6. Aghion, Philippe & Akcigit, Ufuk & Howitt, Peter, 2014. "What Do We Learn From Schumpeterian Growth Theory?," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 2, chapter 0, pages 515-563, Elsevier.
    7. Bruno Cassiman & Masako Ueda, 2006. "Optimal Project Rejection and New Firm Start-ups," Management Science, INFORMS, vol. 52(2), pages 262-275, February.
    8. Hana Kim & Eungdo Kim, 2018. "How an Open Innovation Strategy for Commercialization Affects the Firm Performance of Korean Healthcare IT SMEs," Sustainability, MDPI, vol. 10(7), pages 1-14, July.
    9. Carlino, Gerald & Kerr, William R., 2015. "Agglomeration and Innovation," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 349-404, Elsevier.
    10. Toivanen, Otto & Väänänen, Lotta, 2010. "Returns to Inventors," CEPR Discussion Papers 7744, C.E.P.R. Discussion Papers.
    11. Jan-Bart Vervenne & Julie Callaert & Machteld Hoskens & Bart Looy, 2022. "To what extent do SMEs contribute to Europe’s patent stock? A methodological outline for creating a Europe-wide SME technology indicator," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3049-3082, June.
    12. Gabriele Pellegrino & Mariacristina Piva & Marco Vivarelli, 2015. "How do new entrepreneurs innovate?," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 42(3), pages 323-341, September.
    13. Pellegrino, Gabriele & Piva, Mariacristina & Vivarelli, Marco, 2009. "How Do Young Innovative Companies Innovate?," IZA Discussion Papers 4301, Institute of Labor Economics (IZA).
    14. Li, Xibao, 2011. "Sources of External Technology, Absorptive Capacity, and Innovation Capability in Chinese State-Owned High-Tech Enterprises," World Development, Elsevier, vol. 39(7), pages 1240-1248, July.
    15. Maurseth, Per Botolf & Svensson, Roger, 2020. "The Importance of Tacit Knowledge: Dynamic Inventor Activity in the Commercialization Phase," Research Policy, Elsevier, vol. 49(7).
    16. Bruce Rasmussen, 2010. "Innovation and Commercialisation in the Biopharmaceutical Industry," Books, Edward Elgar Publishing, number 13680.
    17. Bell, Alex & Chetty, Raj & Jaravel, Xavier & Petkova, Neviana & Van Reenen, John, 2019. "Do tax cuts produce more Einsteins? The impacts of financial incentives vs. exposure to innovation on the supply of inventors," LSE Research Online Documents on Economics 121796, London School of Economics and Political Science, LSE Library.
    18. Gustavo Crespi & Elena Arias-Ortiz & Ezequiel Tacsir & Fernando Vargas & Pluvia Zuñiga, 2014. "Innovation for economic performance: the case of Latin American firms," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 4(1), pages 31-50, June.
    19. Pellegrino, Gabriele & Piva, Mariacristina & Vivarelli, Marco, 2012. "Young firms and innovation: A microeconometric analysis," Structural Change and Economic Dynamics, Elsevier, vol. 23(4), pages 329-340.
    20. Viral V. Acharya & Ramin P. Baghai & Krishnamurthy V. Subramanian, 2013. "Labor Laws and Innovation," Journal of Law and Economics, University of Chicago Press, vol. 56(4), pages 997-1037.

    More about this item

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

    Lists

    This item is featured on the following reading lists, Wikipedia, or ReplicationWiki pages:
    1. Technology Assessment

    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:nbr:nberwo:9780. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.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.