IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/6414.html
   My bibliography  Save this paper

Fundamentals or Population Dynamics and the Geographic Distribution of U.S. Biotechnology Enterprises, 1976-1989

Author

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

Abstract

Population ecology models are elegant in form and adequate in describing aggregate data, but poor in telling stories and predicting the location of growth. Fundamentals models emphasizing the variables central to resource mobilization, such as intellectual human capital, can predict where and when biotechnology enterprises emerge and agglomerate. Density dependence and previous founding dependence proxy many underlying processes; the legitimation and competition interpretation is more conjectural than empirically tenable. We argue and demonstrate for biotechnology that an alternative model based on the fundamentals related to resource reallocation and mobilization provides a stronger frame to explore industry formation. Fundamentals models outperform population ecology models in the estimations, while a combined model driven by fundamentals but incorporating weak population dynamics does best. In repeated dynamic simulations, the population ecology model predictions are essentially uncorrelated with the panel data on biotechnology entry by year and region while the combined model has correlation coefficients averaging above 0.8.

Suggested Citation

  • Lynne G. Zucker & Michael R. Darby & Yusheng Peng, 1998. "Fundamentals or Population Dynamics and the Geographic Distribution of U.S. Biotechnology Enterprises, 1976-1989," NBER Working Papers 6414, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:6414
    Note: PR
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w6414.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Romer, Paul M, 1986. "Increasing Returns and Long-run Growth," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 1002-1037, October.
    2. Michael R. Darby & Lynne G. Zucker, 1996. "Star Scientists, Institutions, and the Entry of Japanese Biotechnology Enterprises," NBER Working Papers 5795, National Bureau of Economic Research, Inc.
    3. Wooldridge, Jeffrey M., 1991. "On the application of robust, regression- based diagnostics to models of conditional means and conditional variances," Journal of Econometrics, Elsevier, vol. 47(1), pages 5-46, January.
    4. Zucker, Lynne G. & Darby, Michael R., 1997. "Present at the biotechnological revolution: transformation of technological identity for a large incumbent pharmaceutical firm," Research Policy, Elsevier, vol. 26(4-5), pages 429-446, December.
    5. Lynne G. Zucker & Michael R. Darby, 1996. "Costly Information in Firm Transformation, Exit, or Persistent Failure," NBER Working Papers 5577, National Bureau of Economic Research, Inc.
    6. Lynne G. Zucker & Michael R. Darby, 1995. "Virtuous Circles of Productivity: Star Bioscientists and the Institutional Transformation of Industry," NBER Working Papers 5342, National Bureau of Economic Research, Inc.
    7. Zucker, Lynne G & Darby, Michael R, 2001. "Capturing Technological Opportunity via Japan's Star Scientists: Evidence from Japanese Firms' Biotech Patents and Products," The Journal of Technology Transfer, Springer, vol. 26(1-2), pages 37-58, January.
    8. Julia Porter Liebeskind & Amalya Lumerman Oliver & Lynne Zucker & Marilynn Brewer, 1996. "Social networks, Learning, and Flexibility: Sourcing Scientific Knowledge in New Biotechnology Firms," Organization Science, INFORMS, vol. 7(4), pages 428-443, August.
    9. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-938, July.
    10. Lynne G. Zucker & Michael R. Darby & Maximo Torero, 2002. "Labor Mobility from Academe to Commerce," Journal of Labor Economics, University of Chicago Press, vol. 20(3), pages 629-660, July.
    11. Cameron, A. Colin & Trivedi, Pravin K., 1990. "Regression-based tests for overdispersion in the Poisson model," Journal of Econometrics, Elsevier, vol. 46(3), pages 347-364, December.
    12. Yusheng Peng & Lynne G. Zucker & Michael R. Darby, 1997. "Chinese Rural Industrial Productivity and Urban Spillovers," NBER Working Papers 6202, National Bureau of Economic Research, Inc.
    13. Julia Porter Liebeskind & Amalya Lumerman Oliver & Lynne G. Zucker & Marilynn B. Brewer, 1995. "Social Networks, Learning, and Flexibility: Sourcing Scientific Knowledge in New Biotechnology Firms," NBER Working Papers 5320, National Bureau of Economic Research, Inc.
    14. Zucker, Lynne G & Darby, Michael R & Brewer, Marilynn B, 1998. "Intellectual Human Capital and the Birth of U.S. Biotechnology Enterprises," American Economic Review, American Economic Association, vol. 88(1), pages 290-306, March.
    Full references (including those not matched with items on IDEAS)

    More about this item

    JEL classification:

    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives

    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:6414. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: () or (Joanne Lustig). General contact details of provider: http://edirc.repec.org/data/nberrus.html .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.