IDEAS home Printed from https://ideas.repec.org/a/taf/ecinnt/v16y2007i8p635-652.html
   My bibliography  Save this article

How Do Spatial Spillovers Diffuse In Science-Industry Interactions? The Case Of French Biotech Sector

Author

Listed:
  • Emilie-Pauline Gallie
  • Diego Legros

Abstract

The objective of this article is to study the interactions that exist between public research and private research in the French biotechnology sector. These interactions are observable at a double level. On the one hand, public research can influence private research, and conversely. Researchers of these two spheres develop important relations of cooperation. We then seek to identify these mutual influences and to measure their spatial dimension. Using asymptotic least squares method, we show that spillovers can diffuse through cooperation in upstream and downstream phases of the innovation process. On the other hand, spillovers resulting from public or private research, when measured by an external stock of knowledge, would be located, in so far as they exist.

Suggested Citation

  • Emilie-Pauline Gallie & Diego Legros, 2007. "How Do Spatial Spillovers Diffuse In Science-Industry Interactions? The Case Of French Biotech Sector," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 16(8), pages 635-652.
  • Handle: RePEc:taf:ecinnt:v:16:y:2007:i:8:p:635-652
    DOI: 10.1080/10438590600931928
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/10438590600931928
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/10438590600931928?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. Crepon, B. & Duguet, E. & Mairesse, J., 1998. "Research Investment, Innovation and Productivity: An Econometric Analysis at the Firm Level," Papiers d'Economie Mathématique et Applications 98.15, Université Panthéon-Sorbonne (Paris 1).
    2. Barak S. Aharonson & Joel A.C. Baum & Maryann P. Feldman, 2004. "Industrial Clustering and the Returns to Inventive Activity Canadian Biotechnology Firms, 1991-2000," DRUID Working Papers 04-03, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies.
    3. Bruno Crepon & Emmanuel Duguet & Jacques Mairesse, 1998. "Research, Innovation And Productivity: An Econometric Analysis At The Firm Level," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 7(2), pages 115-158.
    4. Lynne G. Zucker & Michael R. Darby & Jeff Armstrong, 1994. "Intellectual Capital and the Firm: The Technology of Geographically Localized Knowledge Spillovers," NBER Working Papers 4946, National Bureau of Economic Research, Inc.
    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. Lorenzo CASSI & Emilie-Pauline GALLIÉ & Agénor LAHATTE & Valérie MERINDOL, 2018. "Scientific network centrality of European regions: the role of territorial resources," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 47, pages 5-26.
    2. Belal Fallah & Mark D. Partridge & Dan S. Rickman, 2014. "Geography and High-Tech Employment Growth in US Counties," Journal of Economic Geography, Oxford University Press, vol. 14(4), pages 683-720.

    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. Teimuraz Gogokhia & George Berulava, 2021. "Business environment reforms, innovation and firm productivity in transition economies," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 11(2), pages 221-245, June.
    2. Marina Rybalka, 2015. "The innovative input mix. Assessing the importance of R&D and ICT investments for firm performance in manufacturing and services," Discussion Papers 801, Statistics Norway, Research Department.
    3. Bettina Peters & Rebecca Riley & Iulia Siedschlag & Priit Vahter & John McQuinn, 2014. "Innovation and Productivity in Services: Evidence from Germany, Ireland and the United Kingdom," JRC Working Papers on Corporate R&D and Innovation 2014-04, Joint Research Centre.
    4. Cimoli, Mario & Primi, Annalisa & Rovira, Sebastián, 2011. "National innovation surveys in latin America: empirical evidence and policy implications," Documentos de Proyectos 3897, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    5. Enrique López-Bazo & Elisabet Motellón, 2016. "“Innovation, heterogeneous firms, and the region”," AQR Working Papers 201607, University of Barcelona, Regional Quantitative Analysis Group, revised Apr 2016.
    6. Kiatipong Ariyapruchya & Cheerapan O-lanthanasate & Chatsurang Karnchanasai, 2006. "Strengthening the Competitiveness of Thai Firms: What Needs to be Done?," Working Papers 2006-03, Monetary Policy Group, Bank of Thailand.
    7. Andrea Vaona & Mario Pianta, 2008. "Firm Size and Innovation in European Manufacturing," Small Business Economics, Springer, vol. 30(3), pages 283-299, March.
    8. Rõigas, Kärt, 2011. "Linkage between productivity and innovation in different service sectors," Discourses in Social Market Economy 2011-02, OrdnungsPolitisches Portal (OPO).
    9. 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.
    10. Bertrand, Olivier & Zuniga, Pluvia, 2006. "R&D and M&A: Are cross-border M&A different? An investigation on OECD countries," International Journal of Industrial Organization, Elsevier, vol. 24(2), pages 401-423, March.
    11. Mairesse, Jacques & Mohnen, Pierre, 2001. "To Be Or Not To Be Innovative: An Exercise In Measurement," Research Memorandum 038, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
    12. Christian Rammer & Gastón P Fernández & Dirk Czarnitzki, 2021. "Artificial Intelligence and Industrial Innovation: Evidence from Firm-Level Data," Working Papers of Department of Economics, Leuven 674605, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    13. de Rassenfosse, Gaétan & Schoen, Anja & Wastyn, Annelies, 2014. "Selection bias in innovation studies: A simple test," Technological Forecasting and Social Change, Elsevier, vol. 81(C), pages 287-299.
    14. Christian Pfeifer & Joachim Wagner, 2014. "Is innovative firm behavior correlated with age and gender composition of the workforce? Evidence from a new type of data for German enterprises [Besteht ein Zusammenhang zwischen dem Innovationsve," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 47(3), pages 223-231, September.
    15. Ioannis Giotopoulos & Alexander S. Kritikos & Aggelos Tsakanikas, 2023. "A lasting crisis affects R&D decisions of smaller firms: the Greek experience," The Journal of Technology Transfer, Springer, vol. 48(4), pages 1161-1175, August.
    16. Anabela Santos & Michele Cincera, 2022. "Determinants of financing constraints," Small Business Economics, Springer, vol. 58(3), pages 1427-1439, March.
    17. Barge-Gil, Andrés & López, Alberto, 2014. "R&D determinants: Accounting for the differences between research and development," Research Policy, Elsevier, vol. 43(9), pages 1634-1648.
    18. Alejandro García-Pozo & Juan Antonio Campos-Soria & J. Aníbal Núñez-Carrasco, 2021. "Technological innovation and productivity across Spanish regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(1), pages 167-187, August.
    19. Mohammadi, Ali & Broström, Anders & Franzoni, Chiara, 2015. "Work Force Composition and Innovation: How Diversity in Employees’ Ethnical and Disciplinary Backgrounds Facilitates Knowledge Re-combination," Working Paper Series in Economics and Institutions of Innovation 413, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    20. de Jong, Jeroen P.J. & Freel, Mark, 2010. "Absorptive capacity and the reach of collaboration in high technology small firms," Research Policy, Elsevier, vol. 39(1), pages 47-54, February.

    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:taf:ecinnt:v:16:y:2007:i:8:p:635-652. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/GEIN20 .

    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.