IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/12172.html
   My bibliography  Save this paper

Movement of Star Scientists and Engineers and High-Tech Firm Entry

Author

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

Abstract

This paper analyzes the effects of top nanoscale scientists on industry entry in the comparative context of 5 major areas of science and technology, extending the concept of star scientist to all areas of science and technology. The results for nanotechnology are replicated using the comprehensive list of firms from NanoBank.org that provide an alternative industry entry measure not available for other high-tech fields. We follow careers 1981-2004 for 5,401 stars as identified in ISIHighlyCited.comSM, using their publication history to locate them each year. The number of stars in a U.S. region or in one of the top-25 science and technology countries generally has a consistently significant and quantitatively large positive effect on the probability of firm entry in the same area of science and technology. Other measures of academic knowledge stocks have weaker and less consistent effects. Thus the stars themselves rather than their potentially disembodied discoveries play a key role in the formation or transformation of high-tech industries. We identify separate economic geography effects in poisson regressions for the 179 BEA-defined U.S. regions, but not for the 25 countries analysis. Stars become more concentrated over time, moving from areas with relatively few peers to those with many in their discipline. A counter-flow operating on the U.S. versus the other 24 countries is the tendency of foreign-born American stars to return to their homeland when it develops sufficient strength in their area of science and technology. In contrast high impact articles and university articles and patents all tend to diffuse, becoming more equally distributed over time.

Suggested Citation

  • Lynne G. Zucker & Michael R. Darby, 2006. "Movement of Star Scientists and Engineers and High-Tech Firm Entry," NBER Working Papers 12172, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:12172
    Note: PR
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w12172.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. repec:fth:harver:1473 is not listed on IDEAS
    2. Michael L. Darby & Lynne G. Zucker, 2010. "Grilichesian Breakthroughs: Inventions of Methods of Inventing and Firm Entry in Nanotechnology," NBER Chapters, in: Contributions in Memory of Zvi Griliches, pages 143-164, National Bureau of Economic Research, Inc.
    3. 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.
    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. Frank T. Rothaermel & Andrew M. Hess, 2007. "Building Dynamic Capabilities: Innovation Driven by Individual-, Firm-, and Network-Level Effects," Organization Science, INFORMS, vol. 18(6), pages 898-921, December.
    2. Michael R. Darby & Lynne G. Zucker, 2006. "Innovation, Competition and Welfare-Enhancing Monopoly," NBER Working Papers 12094, National Bureau of Economic Research, Inc.
    3. Colombelli, Alessandra & Krafft, Jackie & Quatraro, Francesco, 2014. "The emergence of new technology-based sectors in European regions: A proximity-based analysis of nanotechnology," Research Policy, Elsevier, vol. 43(10), pages 1681-1696.
    4. Jegoo Lee & Sang-Joon Kim, 2017. "Curvilinear Relationship between Corporate Innovation and Environmental Sustainability," Sustainability, MDPI, vol. 9(7), pages 1-15, July.
    5. Hagedoorn, John & Wang, Ning, 2010. "Is there complementarity or substitutability between internal and external R&D strategies?," MERIT Working Papers 2010-005, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    6. Crown, Daniel & Faggian, Alessandra & Corcoran, Jonathan, 2020. "Foreign-Born graduates and innovation: Evidence from an Australian skilled visa program✰,✰✰,★,★★," Research Policy, Elsevier, vol. 49(9).
    7. Lederman, Daniel & Saenz, Laura, 2005. "Innovation and development around the world, 1960-2000," Policy Research Working Paper Series 3774, The World Bank.
    8. Kumar, Sanjesh & Singh, Baljeet, 2019. "Barriers to the international diffusion of technological innovations," Economic Modelling, Elsevier, vol. 82(C), pages 74-86.
    9. Guan-Can Yang & Gang Li & Chun-Ya Li & Yun-Hua Zhao & Jing Zhang & Tong Liu & Dar-Zen Chen & Mu-Hsuan Huang, 2015. "Using the comprehensive patent citation network (CPC) to evaluate patent value," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1319-1346, December.
    10. de Rassenfosse, Gaétan, 2013. "Do firms face a trade-off between the quantity and the quality of their inventions?," Research Policy, Elsevier, vol. 42(5), pages 1072-1079.
    11. Su, Hsin-Ning & Moaniba, Igam M., 2017. "Investigating the dynamics of interdisciplinary evolution in technology developments," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 12-23.
    12. Florent Silve & Alexander Plekhanov, 2018. "Institutions, innovation and growth : Evidence from industry data," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 26(3), pages 335-362, July.
    13. Aiello, Francesco & Albanese, Giuseppe & Piselli, Paolo, 2019. "Good value for public money? The case of R&D policy," Journal of Policy Modeling, Elsevier, vol. 41(6), pages 1057-1076.
    14. Maria Cipollina & Giorgia Giovannetti & Filomena Pietrovito & Alberto F. Pozzolo, 2012. "FDI and Growth: What Cross-country Industry Data Say," The World Economy, Wiley Blackwell, vol. 35(11), pages 1599-1629, November.
    15. Loet Leydesdorff & Dieter Franz Kogler & Bowen Yan, 2017. "Mapping patent classifications: portfolio and statistical analysis, and the comparison of strengths and weaknesses," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1573-1591, September.
    16. Thomas Bolli & Martin Woerter, 2013. "Technological Diversification and Innovation Performance," KOF Working papers 13-336, KOF Swiss Economic Institute, ETH Zurich.
    17. Curci, Ylenia & Mongeau Ospina, Christian A., 2016. "Investigating biofuels through network analysis," Energy Policy, Elsevier, vol. 97(C), pages 60-72.
    18. Alex Bell & Raj Chetty & Xavier Jaravel & Neviana Petkova & John Van Reenen, 2019. "Who Becomes an Inventor in America? The Importance of Exposure to Innovation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(2), pages 647-713.
    19. Norbäck, Pehr-Johan & Persson, Lars & Svensson, Roger, 2017. "Verifying High Quality: Entry for Sale," Working Paper Series 1186, Research Institute of Industrial Economics.
    20. Fontana, Roberto & Nuvolari, Alessandro & Shimizu, Hiroshi & Vezzulli, Andrea, 2013. "Reassessing patent propensity: Evidence from a dataset of R&D awards, 1977–2004," Research Policy, Elsevier, vol. 42(10), pages 1780-1792.

    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
    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • J44 - Labor and Demographic Economics - - Particular Labor Markets - - - Professional Labor Markets and Occupations
    • M13 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - New Firms; Startups

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:12172. 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.