IDEAS home Printed from https://ideas.repec.org/a/cai/reidbu/rei_180_0009.html
   My bibliography  Save this article

Evaluating the impact of public policies on large firms: a synthetic control approach to science-industry transfer policies

Author

Listed:
  • Corinne Autant-Bernard
  • Ruben Fotso
  • Nadine Massard

Abstract

In most countries, large companies receive the majority of public research and development (R&D) funding. Due to methodological difficulties, however, assessments on the effect of government-funded R&D programs mainly focus on small- and medium-sized enterprises. To evaluate the impact of a specific innovation policy on large companies, this article suggests using the synthetic control method (SCM), initially developed by Abadie et al. (2010). This method is applied to evaluate the impact of a recent French science-industry transfer initiative, inspired by other foreign policy tools, and to demonstrate the relevance of the SCM compared to other evaluation methods for large companies. The SCM has the advantage of providing an individual assessment of the impact of a policy on each company, revealing highly heterogeneous results both on R&D inputs and companies? cooperative behavior. This study shows that the SCM offers new perspectives for assessing the impact of policies at company level.

Suggested Citation

  • 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.
  • Handle: RePEc:cai:reidbu:rei_180_0009
    as

    Download full text from publisher

    File URL: http://www.cairn.info/load_pdf.php?ID_ARTICLE=REI_180_0009
    Download Restriction: restricted

    File URL: http://www.cairn.info/revue-d-economie-industrielle-2022-4-page-9.htm
    Download Restriction: restricted
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Federico Biagi & Daniele Bondonio & Alberto Martini, 2015. "Counterfactual Impact Evaluation of Enterprise Support Programmes. Evidence from a Decade of Subsidies to Italian Firm," ERSA conference papers ersa15p1619, European Regional Science Association.
    2. Criscuolo, Chiara & Martin, Ralf & Overman, Henry & Van Reenen, John, 2012. "The Causal Effects of an Industrial Policy," IZA Discussion Papers 6323, Institute of Labor Economics (IZA).
    3. Angrist, Joshua D. & Krueger, Alan B., 1999. "Empirical strategies in labor economics," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 23, pages 1277-1366, Elsevier.
    4. Jugend, Daniel & Fiorini, Paula De Camargo & Armellini, Fabiano & Ferrari, Aline Gabriela, 2020. "Public support for innovation: A systematic review of the literature and implications for open innovation," Technological Forecasting and Social Change, Elsevier, vol. 156(C).
    5. Susan Athey & Guido W. Imbens, 2017. "The State of Applied Econometrics: Causality and Policy Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 3-32, Spring.
    6. Chiara Criscuolo & Ralf Martin & Henry G. Overman & John Van Reenen, 2019. "Some Causal Effects of an Industrial Policy," American Economic Review, American Economic Association, vol. 109(1), pages 48-85, January.
    7. 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).
    8. Greco, Marco & Grimaldi, Michele & Cricelli, Livio, 2017. "Hitting the nail on the head: Exploring the relationship between public subsidies and open innovation efficiency," Technological Forecasting and Social Change, Elsevier, vol. 118(C), pages 213-225.
    9. Heckman, J.J. & Hotz, V.J., 1988. "Choosing Among Alternative Nonexperimental Methods For Estimating The Impact Of Social Programs: The Case Of Manpower Training," University of Chicago - Economics Research Center 88-12, Chicago - Economics Research Center.
    10. Auld, M. Christopher & Grootendorst, Paul, 2004. "An empirical analysis of milk addiction," Journal of Health Economics, Elsevier, vol. 23(6), pages 1117-1133, November.
    11. 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.
    12. Alberto Abadie & Alexis Diamond & Jens Hainmueller, 2015. "Comparative Politics and the Synthetic Control Method," American Journal of Political Science, John Wiley & Sons, vol. 59(2), pages 495-510, February.
    13. Alberto Abadie & Javier Gardeazabal, 2003. "The Economic Costs of Conflict: A Case Study of the Basque Country," American Economic Review, American Economic Association, vol. 93(1), pages 113-132, March.
    14. John E. DiNardo & Jörn-Steffen Pischke, 1997. "The Returns to Computer Use Revisited: Have Pencils Changed the Wage Structure Too?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(1), pages 291-303.
    15. Clarysse, Bart & Wright, Mike & Mustar, Philippe, 2009. "Behavioural additionality of R&D subsidies: A learning perspective," Research Policy, Elsevier, vol. 38(10), pages 1517-1533, December.
    16. 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.
    17. Boeing, Philipp, 2016. "The allocation and effectiveness of China’s R&D subsidies - Evidence from listed firms," Research Policy, Elsevier, vol. 45(9), pages 1774-1789.
    18. Stefan Klößner & Ashok Kaul & Gregor Pfeifer & Manuel Schieler, 2018. "Comparative politics and the synthetic control method revisited: a note on Abadie et al. (2015)," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 154(1), pages 1-11, December.
    19. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2010. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 493-505.
    20. Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881.
    21. Dimos, Christos & Pugh, Geoff, 2016. "The effectiveness of R&D subsidies: A meta-regression analysis of the evaluation literature," Research Policy, Elsevier, vol. 45(4), pages 797-815.
    22. Saia, Alessandro, 2017. "Choosing the open sea: The cost to the UK of staying out of the euro," Journal of International Economics, Elsevier, vol. 108(C), pages 82-98.
    23. Wanzenböck, Iris & Scherngell, Thomas & Fischer, Manfred M., 2013. "How do firm characteristics affect behavioural additionalities of public R&D subsidies? Evidence for the Austrian transport sector," MPRA Paper 77552, University Library of Munich, Germany.
    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. Castillo, Victoria & Figal Garone, Lucas & Maffioli, Alessandro & Salazar, Lina, 2017. "The causal effects of regional industrial policies on employment: A synthetic control approach," Regional Science and Urban Economics, Elsevier, vol. 67(C), pages 25-41.
    2. Bruno Ferman & Cristine Pinto & Vitor Possebom, 2020. "Cherry Picking with Synthetic Controls," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(2), pages 510-532, March.
    3. David Gilchrist & Thomas Emery & Nuno Garoupa & Rok Spruk, 2023. "Synthetic Control Method: A tool for comparative case studies in economic history," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 409-445, April.
    4. Samuel Verevis & Murat Üngör, 2021. "What has New Zealand gained from The FTA with China?: Two counterfactual analyses†," Scottish Journal of Political Economy, Scottish Economic Society, vol. 68(1), pages 20-50, February.
    5. Maximiliano Marzetti & Rok Spruk, 2023. "Long-Term Economic Effects of Populist Legal Reforms: Evidence from Argentina," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 65(1), pages 60-95, March.
    6. Dennis Shen & Peng Ding & Jasjeet Sekhon & Bin Yu, 2022. "Same Root Different Leaves: Time Series and Cross-Sectional Methods in Panel Data," Papers 2207.14481, arXiv.org, revised Oct 2022.
    7. Nauro Campos & Fabrizio Coricelli & Luigi Moretti,, 2020. "Choosing Institutional over Economic Integration: Are There Growth Effects?," Working Papers hal-03028143, HAL.
    8. Kuosmanen, Timo & Zhou, Xun & Eskelinen, Juha & Malo, Pekka, 2021. "Design Flaw of the Synthetic Control Method," MPRA Paper 106328, University Library of Munich, Germany.
    9. Giulio Grossi & Marco Mariani & Alessandra Mattei & Patrizia Lattarulo & Ozge Oner, 2020. "Direct and spillover effects of a new tramway line on the commercial vitality of peripheral streets. A synthetic-control approach," Papers 2004.05027, arXiv.org, revised Nov 2023.
    10. Roy Cerqueti & Raffaella Coppier & Alessandro Girardi & Marco Ventura, 2022. "The sooner the better: lives saved by the lockdown during the COVID-19 outbreak. The case of Italy," The Econometrics Journal, Royal Economic Society, vol. 25(1), pages 46-70.
    11. Kaul, Ashok & Klößner, Stefan & Pfeifer, Gregor & Schieler, Manuel, 2015. "Synthetic Control Methods: Never Use All Pre-Intervention Outcomes Together With Covariates," MPRA Paper 83790, University Library of Munich, Germany.
    12. Alice Lépissier & Matto Mildenberger, 2021. "Unilateral climate policies can substantially reduce national carbon pollution," Climatic Change, Springer, vol. 166(3), pages 1-21, June.
    13. Dmitry Arkhangelsky & Guido Imbens, 2023. "Causal Models for Longitudinal and Panel Data: A Survey," Papers 2311.15458, arXiv.org, revised Jun 2024.
    14. Susan Athey & Guido W. Imbens, 2017. "The State of Applied Econometrics: Causality and Policy Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 3-32, Spring.
    15. Christian Aleman & Christopher Busch & Alexander Ludwig & Raul Santaeulalia-Llopis, 2022. "A Stage-Based Identification of Policy Effects," PIER Working Paper Archive 22-026, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    16. Martin Becker & Stefan Klößner & Gregor Pfeifer, 2018. "Cross-Validating Synthetic Controls," Economics Bulletin, AccessEcon, vol. 38(1), pages 603-609.
    17. Daniel Albalate & Germà Bel & Ferran A. Mazaira-Font, 2021. "Decoupling synthetic control methods to ensure stability, accuracy and meaningfulness," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 12(4), pages 549-584, December.
    18. Esteban Colla‐De‐Robertis & Rafael Garduno Rivera, 2021. "The effect of a free trade agreement with the United States on member countries' per capita GDP: A synthetic control analysis," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(4), pages 1129-1145, August.
    19. Thomas Barnebeck Andersen, 2023. "The Cost of a Currency Peg during the Great Recession," Open Economies Review, Springer, vol. 34(2), pages 255-279, April.
    20. Essers, Dennis & Ide, Stefaan, 2019. "The IMF and precautionary lending: An empirical evaluation of the selectivity and effectiveness of the Flexible Credit Line," Journal of International Money and Finance, Elsevier, vol. 92(C), pages 25-61.

    More about this item

    Keywords

    C23; D22; O36; O38; impact evaluation; R&D policy; large firms; synthetic control method; Technological Research Institutes (TRIs);
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • 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:cai:reidbu:rei_180_0009. 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: Jean-Baptiste de Vathaire (email available below). General contact details of provider: https://www.cairn.info/revue-d-economie-industrielle.htm .

    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.