IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0169961.html
   My bibliography  Save this article

The Population Ecology of Technology: An Empirical Study of US Biotechnology Patents from 1976 to 2003

Author

Listed:
  • Ad van den Oord
  • Arjen van Witteloostuijn

Abstract

A detailed understanding of technological change as an evolutionary process is currently not well understood. To increase our understanding, we build upon theory from organizational ecology to develop a model of endogenous technological growth and determine to what extent the pattern of technological growth can be attributed to the structural or systemic characteristics of the technology itself. Through an empirical investigation of patent data in the biotechnology industry from 1976 to 2003, we find that a technology’s internal (i.e., density and diversity) ecological characteristics have a positive effect on its growth rate. The niche’s external characteristics of crowding and status have a negative effect on its growth rate. Hence, applying theory from organizational ecology increases our understanding of technological change as an evolutionary process. We discuss the implications of our findings for the study of technological growth and evolution, and suggest avenues for further research.

Suggested Citation

  • Ad van den Oord & Arjen van Witteloostuijn, 2017. "The Population Ecology of Technology: An Empirical Study of US Biotechnology Patents from 1976 to 2003," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-26, January.
  • Handle: RePEc:plo:pone00:0169961
    DOI: 10.1371/journal.pone.0169961
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0169961
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0169961&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0169961?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
    ---><---

    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. Krafft, Jackie & Lechevalier, Sebastien & Quatraro, Francesco & Storz, Cornelia, 2014. "Emergence and evolution of new industries: The path-dependent dynamics of knowledge creation. An introduction to the special section," Research Policy, Elsevier, vol. 43(10), pages 1663-1665.
    3. James G. March, 1991. "Exploration and Exploitation in Organizational Learning," Organization Science, INFORMS, vol. 2(1), pages 71-87, February.
    4. Miller McPherson, 2004. "A Blau space primer: prolegomenon to an ecology of affiliation," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 13(1), pages 263-280, February.
    5. Manuel Trajtenberg, 1990. "A Penny for Your Quotes: Patent Citations and the Value of Innovations," RAND Journal of Economics, The RAND Corporation, vol. 21(1), pages 172-187, Spring.
    6. Jaffe, Adam B, 1986. "Technological Opportunity and Spillovers of R&D: Evidence from Firms' Patents, Profits, and Market Value," American Economic Review, American Economic Association, vol. 76(5), pages 984-1001, December.
    7. Audretsch, David B, 1997. "Technological Regimes, Industrial Demography and the Evolution of Industrial Structures," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 6(1), pages 49-82.
    8. Rosenkopf, Lori & Tushman, Michael L, 1998. "The Coevolution of Community Networks and Technology: Lessons from the Flight Simulation Industry," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 7(2), pages 311-346, June.
    9. Giovanni Dosi & Richard R. Nelson, 2000. "An Introduction to Evolutionary Theories in Economics," Chapters, in: Innovation, Organization and Economic Dynamics, chapter 11, pages 327-346, Edward Elgar Publishing.
    10. Mariana Mazzucato & Massimiliano Tancioni, 2013. "R&D, Patents and Stock Return Volatility," Economic Complexity and Evolution, in: Andreas Pyka & Esben Sloth Andersen (ed.), Long Term Economic Development, edition 127, pages 341-362, Springer.
    11. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    12. Cecere, Grazia & Corrocher, Nicoletta & Gossart, Cédric & Ozman, Muge, 2014. "Technological pervasiveness and variety of innovators in Green ICT: A patent-based analysis," Research Policy, Elsevier, vol. 43(10), pages 1827-1839.
    13. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    14. Ufuah, Allan N & Utterback, James M, 1997. "Responding to Structural Industry Changes: A Technological Evolution Perspective," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 6(1), pages 183-202.
    15. Pavitt, Keith, 1984. "Sectoral patterns of technical change: Towards a taxonomy and a theory," Research Policy, Elsevier, vol. 13(6), pages 343-373, December.
    16. Orsenigo, L. & Pammolli, F. & Riccaboni, Massimo, 2001. "Technological change and network dynamics: Lessons from the pharmaceutical industry," Research Policy, Elsevier, vol. 30(3), pages 485-508, March.
    17. Andy Stirling, 2007. "A General Framework for Analysing Diversity in Science, Technology and Society," SPRU Working Paper Series 156, SPRU - Science Policy Research Unit, University of Sussex Business School.
    18. Sandra Silva & Aurora Teixeira, 2009. "On the divergence of evolutionary research paths in the past 50 years: a comprehensive bibliometric account," Journal of Evolutionary Economics, Springer, vol. 19(5), pages 605-642, October.
    19. Utterback, James M & Abernathy, William J, 1975. "A dynamic model of process and product innovation," Omega, Elsevier, vol. 3(6), pages 639-656, December.
    20. Cameron, A Colin & Trivedi, Pravin K, 1986. "Econometric Models Based on Count Data: Comparisons and Applications of Some Estimators and Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(1), pages 29-53, January.
    21. Birgitte Andersen, 1999. "The hunt for S-shaped growth paths in technological innovation: a patent study," Journal of Evolutionary Economics, Springer, vol. 9(4), pages 487-526.
    22. Johan Schot & Frank Geels, 2007. "Niches in evolutionary theories of technical change," Journal of Evolutionary Economics, Springer, vol. 17(5), pages 605-622, October.
    23. Joel A. C. Baum & Jitendra V. Singh, 1994. "Organizational Niches and the Dynamics of Organizational Founding," Organization Science, INFORMS, vol. 5(4), pages 483-501, November.
    24. van Rijnsoever, Frank J. & van den Berg, Jesse & Koch, Joost & Hekkert, Marko P., 2015. "Smart innovation policy: How network position and project composition affect the diversity of an emerging technology," Research Policy, Elsevier, vol. 44(5), pages 1094-1107.
    25. Cantner, Uwe & Rake, Bastian, 2014. "International research networks in pharmaceuticals: Structure and dynamics," Research Policy, Elsevier, vol. 43(2), pages 333-348.
    26. David Audretsch & Max Keilbach, 2004. "Entrepreneurship and regional growth: an evolutionary interpretation," Journal of Evolutionary Economics, Springer, vol. 14(5), pages 605-616, December.
    27. 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.
    28. Morescalchi, Andrea & Pammolli, Fabio & Penner, Orion & Petersen, Alexander M. & Riccaboni, Massimo, 2015. "The evolution of networks of innovators within and across borders: Evidence from patent data," Research Policy, Elsevier, vol. 44(3), pages 651-668.
    29. Stuart, Toby E, 1999. "A Structural Perspective on Organizational Innovation," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 8(4), pages 745-775, December.
    30. Geroski, P. A., 2000. "Models of technology diffusion," Research Policy, Elsevier, vol. 29(4-5), pages 603-625, April.
    31. Christophe Boone & Filippo Carlo Wezel & Witteloostuijn Arjen Van, 2013. "Joining the pack or going solo? A dynamic theory of new firm positioning," Post-Print hal-02313078, HAL.
    32. Guan, Jiancheng & Zhang, Jingjing & Yan, Yan, 2015. "The impact of multilevel networks on innovation," Research Policy, Elsevier, vol. 44(3), pages 545-559.
    33. Albert, M. B. & Avery, D. & Narin, F. & McAllister, P., 1991. "Direct validation of citation counts as indicators of industrially important patents," Research Policy, Elsevier, vol. 20(3), pages 251-259, June.
    34. Gerald Silverberg & Giovanni Dosi & Luigi Orsenigo, 2000. "Innovation, Diversity and Diffusion: A Self-Organisation Model," Chapters, in: Innovation, Organization and Economic Dynamics, chapter 14, pages 410-432, Edward Elgar Publishing.
    35. Jorge Niosi & Petr Hanel & Susan Reid, 2012. "The international diffusion of biotechnology: the arrival of developing countries," Journal of Evolutionary Economics, Springer, vol. 22(4), pages 767-783, September.
    36. Lee Fleming & Olav Sorenson, 2004. "Science as a map in technological search," Strategic Management Journal, Wiley Blackwell, vol. 25(8‐9), pages 909-928, August.
    37. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    38. Jackie Krafft & Sébastien Lechevalier & Francesco Quatraro & Cornelia Storz, 2014. "Emergence and evolution of new industries: The path-dependent dynamics of knowledge creation. An introduction to the Special Section," Post-Print halshs-01060907, HAL.
    39. Boone, Christophe & Wezel, Filippo Carlo & van Witteloostuijn, Arjen, 2013. "Joining the pack or going solo? A dynamic theory of new firm positioning," Journal of Business Venturing, Elsevier, vol. 28(4), pages 511-527.
    40. Manuel Trajtenberg & Adam B. Jaffe & Michael S. Fogarty, 2000. "Knowledge Spillovers and Patent Citations: Evidence from a Survey of Inventors," American Economic Review, American Economic Association, vol. 90(2), pages 215-218, May.
    41. Kenneth Carlaw & Richard Lipsey, 2011. "Sustained endogenous growth driven by structured and evolving general purpose technologies," Journal of Evolutionary Economics, Springer, vol. 21(4), pages 563-593, October.
    42. Michael T. Hannan & László Pólos & Glenn R. Carroll, 2007. "Language Matters, from Logics of Organization Theory: Audiences, Codes, and Ecologies," Introductory Chapters, in: Logics of Organization Theory: Audiences, Codes, and Ecologies, Princeton University Press.
    43. Guimarães, Paulo, 2008. "The fixed effects negative binomial model revisited," Economics Letters, Elsevier, vol. 99(1), pages 63-66, April.
    44. Pistorius, C. W. I. & Utterback, J. M., 1997. "Multi-mode interaction among technologies," Research Policy, Elsevier, vol. 26(1), pages 67-84, March.
    45. Greene, W., 2001. "Estimating Econometric Models with Fixed Effects," New York University, Leonard N. Stern School Finance Department Working Paper Seires 01-10, New York University, Leonard N. Stern School of Business-.
    46. Lee Fleming, 2001. "Recombinant Uncertainty in Technological Search," Management Science, INFORMS, vol. 47(1), pages 117-132, January.
    47. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
    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. Candiani, Juan Antonio & Gilsing, Victor & Mastrogiorgio, Mariano, 2022. "Technological entry in new niches: Diversity, crowding and generalism," Technovation, Elsevier, vol. 116(C).
    2. Ad van den Oord & Arjen van Witteloostuijn, 2018. "A multi-level model of emerging technology: An empirical study of the evolution of biotechnology from 1976 to 2003," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-27, May.

    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. VAN DEN OORD, Ad & VAN WITTELOOSTUIJN, Arjen & DUYSTERS, Geert & GILSING, Victor, 2010. "The ecology of technology: An empirical study of US biotechnology patents from 1976 to 2003," ACED Working Papers 2010008, University of Antwerp, Faculty of Business and Economics.
    2. Candiani, Juan Antonio & Gilsing, Victor & Mastrogiorgio, Mariano, 2022. "Technological entry in new niches: Diversity, crowding and generalism," Technovation, Elsevier, vol. 116(C).
    3. Ad van den Oord & Arjen van Witteloostuijn, 2018. "A multi-level model of emerging technology: An empirical study of the evolution of biotechnology from 1976 to 2003," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-27, May.
    4. Sarah Kaplan & Keyvan Vakili, 2015. "The double-edged sword of recombination in breakthrough innovation," Strategic Management Journal, Wiley Blackwell, vol. 36(10), pages 1435-1457, October.
    5. Cammarano, Antonello & Michelino, Francesca & Lamberti, Emilia & Caputo, Mauro, 2017. "Accumulated stock of knowledge and current search practices: The impact on patent quality," Technological Forecasting and Social Change, Elsevier, vol. 120(C), pages 204-222.
    6. Mahmoud Ibrahim Fallatah, 2021. "Innovating in the Desert: a Network Perspective on Knowledge Creation in Developing Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(3), pages 1533-1551, September.
    7. 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.
    8. Atul Nerkar, 2003. "Old Is Gold? The Value of Temporal Exploration in the Creation of New Knowledge," Management Science, INFORMS, vol. 49(2), pages 211-229, February.
    9. 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).
    10. Fleming, Lee & Sorenson, Olav, 2001. "Technology as a complex adaptive system: evidence from patent data," Research Policy, Elsevier, vol. 30(7), pages 1019-1039, August.
    11. Jee, Su Jung & Kwon, Minji & Ha, Jung Moon & Sohn, So Young, 2019. "Exploring the forward citation patterns of patents based on the evolution of technology fields," Journal of Informetrics, Elsevier, vol. 13(4).
    12. Lori Rosenkopf & Paul Almeida, 2003. "Overcoming Local Search Through Alliances and Mobility," Management Science, INFORMS, vol. 49(6), pages 751-766, June.
    13. Rajat Khanna & Isin Guler, 2022. "Degree assortativity in collaboration networks and invention performance," Strategic Management Journal, Wiley Blackwell, vol. 43(7), pages 1402-1430, July.
    14. Jackie Krafft & Francesco Quatraro, 2011. "The dynamics of technological knowledge," Post-Print halshs-00727633, HAL.
    15. Ufuk Akcigit & William Kerr, 2015. "Growth through Heterogeneous Innovation, Second Version," PIER Working Paper Archive 15-020, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 25 Mar 2015.
    16. Bettencourt, Luis M.A. & Lobo, Jose & Strumsky, Deborah, 2007. "Invention in the city: Increasing returns to patenting as a scaling function of metropolitan size," Research Policy, Elsevier, vol. 36(1), pages 107-120, February.
    17. Baptista, Rui & Swann, Peter, 1998. "Do firms in clusters innovate more?," Research Policy, Elsevier, vol. 27(5), pages 525-540, September.
    18. Martin Kalthaus, 2020. "Knowledge recombination along the technology life cycle," Journal of Evolutionary Economics, Springer, vol. 30(3), pages 643-704, July.
    19. Dibiaggio, Ludovic & Nasiriyar, Maryam & Nesta, Lionel, 2014. "Substitutability and complementarity of technological knowledge and the inventive performance of semiconductor companies," Research Policy, Elsevier, vol. 43(9), pages 1582-1593.
    20. David H. Hsu & Kwanghui Lim, 2014. "Knowledge Brokering and Organizational Innovation: Founder Imprinting Effects," Organization Science, INFORMS, vol. 25(4), pages 1134-1153, August.

    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:plo:pone00:0169961. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.