IDEAS home Printed from https://ideas.repec.org/a/kap/jtecht/v47y2022i4d10.1007_s10961-021-09865-2.html
   My bibliography  Save this article

Evaluating the indirect effects of cluster-based innovation policies: the case of the Technological Research Institutes in France

Author

Listed:
  • Ruben Fotso

    (University of Bordeaux
    Univ Lyon, UJM Saint-Etienne)

Abstract

When it comes to evaluating the causal effect of public policies on corporate performance, most studies tend to focus exclusively on targeted firms, as if these firms have no relationship to the rest of the economy. Yet, public policies are highly likely to influence non-targeted firms indirectly due to the relationships they have with targeted firms. This paper aims to fill this gap by evaluating the indirect causal effect of a new French cluster-innovation policy on the financial and employment outcomes of non-targeted companies. To do so, it focuses on French Technological Research Institutes, which are science-industry collaborations based on technology platforms that bring together SMEs, large companies, universities, and public research bodies with the goal of accelerating the transfer of knowledge towards firms and generating spillovers (indirect effects) inside and outside the scheme. Based on the literature on spillover effects and agglomeration economies, it can be assumed that industry-specific spillovers tend to be spatially concentrated. By comparing a non-targeted firm located in the NUTS-3 regions within which the policy was implemented (referred to as "treated regions"), to a non-targeted firm outside of these "treated regions", using a difference-in-differences method with fixed effects applied to panel data (2008–2016) combined with a double matching at the NUTS-3 region and firm level, we find that non-targeted firms located in the "treated regions" significantly improve their financial performance (turnover, financial autonomy) compared to control firms located in the NUTS-3 control regions. The dynamics of employment outcomes are ambiguous. A negative significant effect is observed on the proportion of managers at the beginning of the policy and a positive significant effect is noted later, at the end of the period of observation. An analysis of the dynamics of the effects indicates that performance does not improve immediately after the policy, but later in time.

Suggested Citation

  • Ruben Fotso, 2022. "Evaluating the indirect effects of cluster-based innovation policies: the case of the Technological Research Institutes in France," The Journal of Technology Transfer, Springer, vol. 47(4), pages 1070-1114, August.
  • Handle: RePEc:kap:jtecht:v:47:y:2022:i:4:d:10.1007_s10961-021-09865-2
    DOI: 10.1007/s10961-021-09865-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10961-021-09865-2
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s10961-021-09865-2?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. 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. Di Gennaro, Daniele & Pellegrini, Guido, 2016. "Evaluating direct and indirect treatment effects in Italian R&D expenditures," MPRA Paper 76467, University Library of Munich, Germany, revised 28 Jan 2017.
    3. Denis Fougère & Nicolas Jacquemet, 2020. "Policy Evaluation Using Causal Inference Methods," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03455978, HAL.
    4. José Ángel Zúñiga-Vicente & César Alonso-Borrego & Francisco J. Forcadell & José I. Galán, 2014. "Assessing The Effect Of Public Subsidies On Firm R&D Investment: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 28(1), pages 36-67, February.
    5. Claire Dujardin & Virginie Louis & Florian Mayneris, 2015. "Les pôles de compétitivité wallons Quel impact sur les performances économiques des entreprises ? The Walloon competitiveness clusters and their impact on firms’ economic performances?," LIDAM Discussion Papers IRES 2015017, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    6. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    7. Andrea Bellucci & Luca Pennacchio & Alberto Zazzaro, 2019. "Public R&D subsidies: collaborative versus individual place-based programs for SMEs," Small Business Economics, Springer, vol. 52(1), pages 213-240, January.
    8. Luc Anselin & Attila Varga & Zoltan Acs, 2008. "Local Geographic Spillovers Between University Research and High Technology Innovations," Chapters, in: Entrepreneurship, Growth and Public Policy, chapter 9, pages 95-121, Edward Elgar Publishing.
    9. Leo Sveikauskas, 1975. "The Productivity of Cities," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 89(3), pages 393-413.
    10. Gustavo Crespi & Chiara Criscuolo & Jonathan Haskel & Matthew Slaughter, 2007. "Productivity Growth, Knowledge Flows and Spillovers," CEP Discussion Papers dp0785, Centre for Economic Performance, LSE.
    11. Marino, Marianna & Lhuillery, Stephane & Parrotta, Pierpaolo & Sala, Davide, 2016. "Additionality or crowding-out? An overall evaluation of public R&D subsidy on private R&D expenditure," Research Policy, Elsevier, vol. 45(9), pages 1715-1730.
    12. Ciccone, Antonio & Hall, Robert E, 1996. "Productivity and the Density of Economic Activity," American Economic Review, American Economic Association, vol. 86(1), pages 54-70, March.
    13. James D. Adams & Adam B. Jaffe, 1996. "Bounding the Effects of R&D: An Investigation Using Matched Establishment-Firm Data," RAND Journal of Economics, The RAND Corporation, vol. 27(4), pages 700-721, Winter.
    14. Zvi Griliches, 1998. "Issues in Assessing the Contribution of Research and Development to Productivity Growth," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 17-45, National Bureau of Economic Research, Inc.
    15. Dirk Czarnitzki & Cindy Lopes-Bento, 2014. "Innovation Subsidies: Does the Funding Source Matter for Innovation Intensity and Performance? Empirical Evidence from Germany," Industry and Innovation, Taylor & Francis Journals, vol. 21(5), pages 380-409, July.
    16. Duranton, Gilles & Puga, Diego, 2004. "Micro-foundations of urban agglomeration economies," Handbook of Regional and Urban Economics, in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 48, pages 2063-2117, Elsevier.
    17. Glenn Ellison & Edward L. Glaeser & William R. Kerr, 2010. "What Causes Industry Agglomeration? Evidence from Coagglomeration Patterns," American Economic Review, American Economic Association, vol. 100(3), pages 1195-1213, June.
    18. Cohen, Wesley M & Levinthal, Daniel A, 1989. "Innovation and Learning: The Two Faces of R&D," Economic Journal, Royal Economic Society, vol. 99(397), pages 569-596, September.
    19. 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.
    20. Giuliani, Elisa & Arza, Valeria, 2009. "What drives the formation of 'valuable' university-industry linkages?: Insights from the wine industry," Research Policy, Elsevier, vol. 38(6), pages 906-921, July.
    21. Chai, Sen & Shih, Willy, 2016. "Bridging science and technology through academic–industry partnerships," Research Policy, Elsevier, vol. 45(1), pages 148-158.
    22. Junichi Nishimura & Hiroyuki Okamuro, 2016. "Knowledge and rent spillovers through government-sponsored R&D consortia," Science and Public Policy, Oxford University Press, vol. 43(2), pages 207-225.
    23. Lionel Nesta & Vincent Mangematin, 1999. "What kind of Knowledge can a firm absorb?," Post-Print hal-03471555, HAL.
    24. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
    25. Iain M. Cockburn & Rebecca M. Henderson, 1998. "Absorptive Capacity, Coauthoring Behavior, and the Organization of Research in Drug Discovery," Journal of Industrial Economics, Wiley Blackwell, vol. 46(2), pages 157-182, June.
    26. Stucchi, Rodolfo & Rojo, Sofía & Maffioli, Alessandro & Castillo, Victoria, 2014. "Knowledge Spillovers of Innovation Policy through Labor Mobility: An Impact Evaluation of the FONTAR Program in Argentina," IDB Publications (Working Papers) 4779, Inter-American Development Bank.
    27. Asheim, Bjorn T & Isaksen, Arne, 2002. "Regional Innovation Systems: The Integration of Local 'Sticky' and Global 'Ubiquitous' Knowledge," The Journal of Technology Transfer, Springer, vol. 27(1), pages 77-86, January.
    28. Olivier Brossard & Inès Moussa, 2014. "The French cluster policy put to the test with differences-in-differences estimates," Economics Bulletin, AccessEcon, vol. 34(1), pages 520-529.
    29. Guerzoni, Marco & Raiteri, Emilio, 2015. "Demand-side vs. supply-side technology policies: Hidden treatment and new empirical evidence on the policy mix," Research Policy, Elsevier, vol. 44(3), pages 726-747.
    30. Rodolfo Stucchi & Sofía Rojo & Alessandro Maffioli & Victoria Castillo, 2014. "Knowledge Spillovers of Innovation Policy through Labor Mobility: An Impact Evaluation of the FONTAR Program in Argentina," IDB Publications (Working Papers) 83894, Inter-American Development Bank.
    31. Aerts, Kris & Schmidt, Tobias, 2008. "Two for the price of one?: Additionality effects of R&D subsidies: A comparison between Flanders and Germany," Research Policy, Elsevier, vol. 37(5), pages 806-822, June.
    32. Goto, Akira & Suzuki, Kazuyuki, 1989. "R&D Capital, Rate of Return on R&D Investment and Spillover of R&D in Japanese Manufacturing Industries," The Review of Economics and Statistics, MIT Press, vol. 71(4), pages 555-564, November.
    33. Olivier Brossard & Inès Moussa, 2014. "The French cluster policy put to the test with differences-in-differences estimates," Post-Print halshs-01228857, HAL.
    34. Bart Verspagen, 1997. "Estimating international technology spillovers using technology flow matrices," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 133(2), pages 226-248, June.
    35. Nelson, Richard R, 1986. "Institutions Supporting Technical Advance in Industry," American Economic Review, American Economic Association, vol. 76(2), pages 186-189, May.
    36. Michael L. Tushman & Ralph Katz, 1980. "External Communication and Project Performance: An Investigation into the Role of Gatekeepers," Management Science, INFORMS, vol. 26(11), pages 1071-1085, November.
    37. Bartel, Ann P & Lichtenberg, Frank R, 1987. "The Comparative Advantage of Educated Workers in Implementing New Technology," The Review of Economics and Statistics, MIT Press, vol. 69(1), pages 1-11, February.
    38. Ron Boschma, 2005. "Proximity and Innovation: A Critical Assessment," Regional Studies, Taylor & Francis Journals, vol. 39(1), pages 61-74.
    39. Paul J. Gertler & Sebastian Martinez & Patrick Premand & Laura B. Rawlings & Christel M. J. Vermeersch, . "Impact Evaluation in Practice, First Edition [La evaluación de impacto en la práctica]," World Bank Publications, The World Bank, number 2550, September.
    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. Corinne Autant-Bernard & Ruben Fotso & Nadine Massard, 2022. "Evaluating the impact of public policies on large firms: a synthetic control approach to science-industry transfer policies," Revue d'économie industrielle, De Boeck Université, vol. 0(4), pages 9-50.
    2. Telma Mendes & Vítor Braga & Carina Silva & Vanessa Ratten, 2023. "Taking a closer look at the regionally clustered firms: How can ambidexterity explain the link between management, entrepreneurship, and innovation in a post-industrialized world?," The Journal of Technology Transfer, Springer, vol. 48(6), pages 2007-2053, December.

    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. Ruben Fotso, 2020. "Evaluation of indirect effects of place-based science-industry transfer policies: Case of French Technological Research Institutes," Working Papers halshs-02998262, HAL.
    2. Ruben Fotso, 2020. "Evaluation of indirect effects of place-based science-industry transfer policies: Case of French Technological Research Institutes," Working Papers 2031, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    3. Ruben Fotso, 2020. "Evaluation of the effectiveness of technological platforms as a technology transfer tool: the impact of French Technological Research Institutes on the socio-economic performance of SMEs," Working Papers halshs-02998309, HAL.
    4. Ruben Fotso, 2020. "Evaluation of the effectiveness of technological platforms as a technology transfer tool: the impact of French Technological Research Institutes on the socio-economic performance of SMEs," Working Papers 2032, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    5. 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.
    6. repec:bof:bofrdp:urn:nbn:fi:bof-201512111472 is not listed on IDEAS
    7. repec:zbw:bofrdp:urn:nbn:fi:bof-201512111472 is not listed on IDEAS
    8. 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.
    9. repec:zbw:bofrdp:2015_027 is not listed on IDEAS
    10. Moretti, Enrico, 2011. "Local Labor Markets," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 14, pages 1237-1313, Elsevier.
    11. Corinne Autant-Bernard & Pascal Billand & Nadine Massard, 2012. "Innovation and Space – From Externalities to Networks," Chapters, in: Charlie Karlsson & Börje Johansson & Roger R. Stough (ed.), The Regional Economics of Knowledge and Talent, chapter 3, Edward Elgar Publishing.
    12. Andrés Rodríguez-Pose & Marco Di Cataldo, 2015. "Quality of government and innovative performance in the regions of Europe," Journal of Economic Geography, Oxford University Press, vol. 15(4), pages 673-706.
    13. B.G. Jean Jacques Iritié, 2018. "Economic issues of innovation clusters-based industrial policy: a critical overview," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 20(3), pages 286-307.
    14. Shanzi Ke, 2010. "Agglomeration, productivity, and spatial spillovers across Chinese cities," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 45(1), pages 157-179, August.
    15. Bettina Becker, 2013. "The Determinants of R&D Investment: A Survey of the Empirical Research," Discussion Paper Series 2013_09, Department of Economics, Loughborough University, revised Sep 2013.
    16. O'Mahony, Mary & Vecchi, Michela, 2009. "R&D, knowledge spillovers and company productivity performance," Research Policy, Elsevier, vol. 38(1), pages 35-44, February.
    17. Philippe Martin & Thierry Mayer & Florian Mayneris, 2008. "Spatial Concentration and Firm-Level Productivity in France," Sciences Po publications 6858, Sciences Po.
    18. Beck, Mathias & Junge, Martin & Kaiser, Ulrich, 2017. "Public Funding and Corporate Innovation," IZA Discussion Papers 11196, Institute of Labor Economics (IZA).
    19. Pedro de Faria & Francisco Lima, 2012. "Interdependence and spillovers: is firm performance affected by others’ innovation activities?," Applied Economics, Taylor & Francis Journals, vol. 44(36), pages 4765-4775, December.
    20. Duranton, Gilles & Puga, Diego, 2014. "The Growth of Cities," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 2, chapter 5, pages 781-853, Elsevier.
    21. Lee, Jeongwon & Hwang, Junseok & Kim, Hana, 2022. "Different government support effects on emerging and mature ICT sectors," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    22. Enrico Vanino & Stephen Roper & Bettina Becker, 2020. "Knowledge to Money: Assessing the Business Performance Effects of Publicly Funded R&D Grants," ifo DICE Report, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 17(04), pages 20-24, January.
    23. Zoltán J. Ács & Pontus Braunerhjelm & David B. Audretsch & Bo Carlsson, 2015. "The knowledge spillover theory of entrepreneurship," Chapters, in: Global Entrepreneurship, Institutions and Incentives, chapter 7, pages 129-144, Edward Elgar Publishing.

    More about this item

    Keywords

    Impact evaluation; Indirect effect; Difference-in-differences approach; SMEs; Technological Research Institutes;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D04 - Microeconomics - - General - - - Microeconomic Policy: Formulation; Implementation; Evaluation
    • D62 - Microeconomics - - Welfare Economics - - - Externalities
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • O36 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Open Innovation
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

    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:kap:jtecht:v:47:y:2022:i:4:d:10.1007_s10961-021-09865-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.