IDEAS home Printed from https://ideas.repec.org/p/hal/wpaper/hal-01559041.html
   My bibliography  Save this paper

R&D policy regimes in France: New evidence from a spatio-temporal analysis

Author

Listed:
  • Benjamin Montmartin

    (GREDEG - Groupe de Recherche en Droit, Economie et Gestion - UNS - Université Nice Sophia Antipolis (1965 - 2019) - CNRS - Centre National de la Recherche Scientifique - UniCA - Université Côte d'Azur)

  • Marcos Herrera

    (UNSA - Universidad Nacional de Salta, CONICET - Consejo Nacional de Investigaciones Científicas y Técnicas [Buenos Aires])

  • Nadine Massard

    (UGA [2016-2019] - Université Grenoble Alpes [2016-2019], GAEL - Laboratoire d'Economie Appliquée de Grenoble - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - INRA - Institut National de la Recherche Agronomique - CNRS - Centre National de la Recherche Scientifique - UGA [2016-2019] - Université Grenoble Alpes [2016-2019])

Abstract

Using a unique database containing information on the amount of R&D tax credits and regional, national and European subsidies received by firms in French NUTS3 regions over the period 2001-2011, we provide new evidence on the efficiency of R&D policies taking into account spatial dependency across regions. By estimating a spatial Durbin model with regimes and fixed effects, we show that in a context of yardstick competition between regions, national subsidies are the only instrument that displays total leverage effect. For other instruments internal and external effects balance each other resulting in insignificant total effects. Structural breaks corresponding to tax credit reforms are also revealed.

Suggested Citation

  • Benjamin Montmartin & Marcos Herrera & Nadine Massard, 2017. "R&D policy regimes in France: New evidence from a spatio-temporal analysis," Working Papers hal-01559041, HAL.
    • Handle: RePEc:hal:wpaper:hal-01559041
    Note: View the original document on HAL open archive server: https://hal.science/hal-01559041
    as

    Download full text from publisher

    File URL: https://hal.science/hal-01559041/document
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Stephen Gibbons & Henry G. Overman, 2012. "Mostly Pointless Spatial Econometrics?," Journal of Regional Science, Wiley Blackwell, vol. 52(2), pages 172-191, May.
    2. Charles Bérubé & Pierre Mohnen, 2009. "Are firms that receive R&D subsidies more innovative?," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 42(1), pages 206-225, February.
    3. Lee, Lung-fei & Yu, Jihai, 2010. "Estimation of spatial autoregressive panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 154(2), pages 165-185, February.
    4. Bodas Freitas, Isabel & Castellacci, Fulvio & Fontana, Roberto & Malerba, Franco & Vezzulli, Andrea, 2017. "Sectors and the additionality effects of R&D tax credits: A cross-country microeconometric analysis," Research Policy, Elsevier, vol. 46(1), pages 57-72.
    5. Florax, Raymond & Folmer, Henk, 1992. "Specification and estimation of spatial linear regression models : Monte Carlo evaluation of pre-test estimators," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 405-432, September.
    6. Autant-Bernard, Corinne & Fadairo, Muriel & Massard, Nadine, 2013. "Knowledge diffusion and innovation policies within the European regions: Challenges based on recent empirical evidence," Research Policy, Elsevier, vol. 42(1), pages 196-210.
    7. 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.
    8. Daniel J. Wilson, 2009. "Beggar Thy Neighbor? The In-State, Out-of-State, and Aggregate Effects of R&D Tax Credits," The Review of Economics and Statistics, MIT Press, vol. 91(2), pages 431-436, May.
    9. Kristian Behrens & Cem Ertur & Wilfried Koch, 2012. "‘Dual’ Gravity: Using Spatial Econometrics To Control For Multilateral Resistance," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(5), pages 773-794, August.
    10. Nishimura, Junichi & Okamuro, Hiroyuki, 2011. "Subsidy and networking: The effects of direct and indirect support programs of the cluster policy," Research Policy, Elsevier, vol. 40(5), pages 714-727, June.
    11. Florax, Raymond J. G. M. & Folmer, Hendrik & Rey, Sergio J., 2003. "Specification searches in spatial econometrics: the relevance of Hendry's methodology," Regional Science and Urban Economics, Elsevier, vol. 33(5), pages 557-579, September.
    12. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    13. Michel Dumont, 2013. "The impact of subsidies and fiscal incentives on corporate R&D expenditures in Belgium (2001-2009)," Reflets et perspectives de la vie économique, De Boeck Université, vol. 0(1), pages 69-91.
    14. Falck, Oliver & Heblich, Stephan & Kipar, Stefan, 2010. "Industrial innovation: Direct evidence from a cluster-oriented policy," Regional Science and Urban Economics, Elsevier, vol. 40(6), pages 574-582, November.
    15. Loriane Py & Antoine Bozio & Delphine Irac, 2014. "Impact of research tax credit on R&D and innovation: evidence from the 2008 French reform," EcoMod2014 6873, EcoMod.
    16. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    17. Florax, Raymond J.G.M. & Folmer, Hendrik & Rey, Sergio J., 2006. "A comment on specification searches in spatial econometrics: The relevance of Hendry's methodology: A reply," Regional Science and Urban Economics, Elsevier, vol. 36(2), pages 300-308, March.
    18. Emmanuel Duguet, 2012. "The effect of the incremental R&D tax credit on the private funding of R&D an econometric evaluation on french firm level data," Revue d'économie politique, Dalloz, vol. 122(3), pages 405-435.
    19. Gotway C.A. & Young L.J., 2002. "Combining Incompatible Spatial Data," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 632-648, June.
    20. David, Paul A. & Hall, Bronwyn H. & Toole, Andrew A., 2000. "Is public R&D a complement or substitute for private R&D? A review of the econometric evidence," Research Policy, Elsevier, vol. 29(4-5), pages 497-529, April.
    21. Riccardo Crescenzi & Andrés Rodriguez-Pose & Michael Storper, 2007. "The territorial dynamics of innovation: a Europe-United States comparative analysis," Journal of Economic Geography, Oxford University Press, vol. 7(6), pages 673-709, November.
    22. 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.
    23. Wang, Yanbo & Li, Jizhen & Furman, Jeffrey L., 2017. "Firm performance and state innovation funding: Evidence from China’s innofund program," Research Policy, Elsevier, vol. 46(6), pages 1142-1161.
    24. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    25. Montmartin, Benjamin & Herrera, Marcos, 2015. "Internal and external effects of R&D subsidies and fiscal incentives: Empirical evidence using spatial dynamic panel models," Research Policy, Elsevier, vol. 44(5), pages 1065-1079.
    26. Olivier Brossard & Inès Moussa, 2014. "The French cluster policy put to the test with differences-in-differences estimates," Post-Print halshs-01228857, HAL.
    27. Paul Elhorst & Solmaria Halleck Vega, 2013. "On spatial econometric models, spillover effects, and W," ERSA conference papers ersa13p222, European Regional Science Association.
    28. Brown, James R. & Martinsson, Gustav & Petersen, Bruce C., 2017. "What promotes R&D? Comparative evidence from around the world," Research Policy, Elsevier, vol. 46(2), pages 447-462.
    29. Federico Belotti & Gordon Hughes & Andrea Piano Mortari, 2013. "XSMLE: Stata module for spatial panel data models estimation," Statistical Software Components S457610, Boston College Department of Economics, revised 07 Jun 2017.
    30. Lin, Xu & Lee, Lung-fei, 2010. "GMM estimation of spatial autoregressive models with unknown heteroskedasticity," Journal of Econometrics, Elsevier, vol. 157(1), pages 34-52, July.
    31. Huergo, Elena & Moreno, Lourdes, 2017. "Subsidies or loans? Evaluating the impact of R&D support programmes," Research Policy, Elsevier, vol. 46(7), pages 1198-1214.
    32. Hendry, David F., 2006. "A comment on "Specification searches in spatial econometrics: The relevance of Hendry's methodology"," Regional Science and Urban Economics, Elsevier, vol. 36(2), pages 309-312, March.
    33. Trinh Le & Adam B. Jaffe, 2017. "The impact of R&D subsidy on innovation: evidence from New Zealand firms," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 26(5), pages 429-452, July.
    34. Dominique Guellec & Bruno Van Pottelsberghe De La Potterie, 2003. "The impact of public R&D expenditure on business R&D," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 12(3), pages 225-243.
    35. Mohnen, Pierre & Lokshin, Boris, 2009. "What does it take for an R&D tax incentive policy to be effective?," MERIT Working Papers 2009-014, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    36. J. D. Howe & D. G. McFetridge, 1976. "The Determinants of R & D Expenditures," Canadian Journal of Economics, Canadian Economics Association, vol. 9(1), pages 57-71, February.
    37. Harald Bathelt & Patrick Cohendet, 2014. "The creation of knowledge: local building, global accessing and economic development—toward an agenda," Journal of Economic Geography, Oxford University Press, vol. 14(5), pages 869-882.
    38. Mur, Jesús & Angulo, Ana, 2009. "Model selection strategies in a spatial setting: Some additional results," Regional Science and Urban Economics, Elsevier, vol. 39(2), pages 200-213, March.
    39. Attila Varga & Dimitrios Pontikakis & George Chorafakis, 2014. "Metropolitan Edison and cosmopolitan Pasteur? Agglomeration and interregional research network effects on European R&D productivity," Journal of Economic Geography, Oxford University Press, vol. 14(2), pages 229-263.
    40. Liu, Xiaodong & Lee, Lung-fei & Bollinger, Christopher R., 2010. "An efficient GMM estimator of spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 159(2), pages 303-319, December.
    41. Mohnen, Pierre & Lokshin, Boris, 2009. "What does it take for an R&D tax incentive policy to be effective?," MERIT Working Papers 014, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    42. Hottenrott, Hanna & Lopes-Bento, Cindy & Veugelers, Reinhilde, 2017. "Direct and cross scheme effects in a research and development," Research Policy, Elsevier, vol. 46(6), pages 1118-1132.
    43. Kevin Morgan, 2004. "The exaggerated death of geography: learning, proximity and territorial innovation systems," Journal of Economic Geography, Oxford University Press, vol. 4(1), pages 3-21, January.
    44. Corchuelo, Beatriz, 2009. "The Effects of Fiscal Incentives for R & D in Spain," DEE - Working Papers. Business Economics. WB wb092302, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    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. Montmartin, B. & Herrera, M. & Massard, N., 2015. "R&D policies in France: New evidence from a NUTS3 spatial analysis," Working Papers 2015-11, Grenoble Applied Economics Laboratory (GAEL).
    2. Montmartin, Benjamin & Herrera, Marcos & Massard, Nadine, 2018. "The impact of the French policy mix on business R&D: How geography matters," Research Policy, Elsevier, vol. 47(10), pages 2010-2027.
    3. repec:hal:spmain:info:hdl:2441/7rrsl07p559bjr85tr7hsft1o9 is not listed on IDEAS
    4. repec:spo:wpmain:info:hdl:2441/7rrsl07p559bjr85tr7hsft1o9 is not listed on IDEAS
    5. repec:spo:wpmain:info:hdl:2441/4ji8v7q9nt9q0rsm9mqn5dqrrp is not listed on IDEAS
    6. Montmartin, Benjamin & Herrera, Marcos, 2015. "Internal and external effects of R&D subsidies and fiscal incentives: Empirical evidence using spatial dynamic panel models," Research Policy, Elsevier, vol. 44(5), pages 1065-1079.
    7. repec:hal:spmain:info:hdl:2441/4ji8v7q9nt9q0rsm9mqn5dqrrp is not listed on IDEAS
    8. 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).
    9. A. Minniti & F. Venturini, 2014. "R&D Policy and Schumpeterian Growth: Theory and Evidence," Working Papers wp945, Dipartimento Scienze Economiche, Universita' di Bologna.
    10. Thomas H. W. Ziesemer, 2021. "The Effects of R&D Subsidies and Publicly Performed R&D on Business R&D: A Survey," Hacienda Pública Española / Review of Public Economics, IEF, vol. 236(1), pages 171-205, March.
    11. Vincent Dortet-Bernadet & Michaël Sicsic, 2017. "The effect of R&D subsidies and tax incentives on employment: an evaluation for small firms in France," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 493, pages 5-22.
    12. Shuang Wang & Shukuan Zhao & Dong Shao & Hongyu Liu, 2020. "Impact of Government Subsidies on Manufacturing Innovation in China: The Moderating Role of Political Connections and Investor Attention," Sustainability, MDPI, vol. 12(18), pages 1-21, September.
    13. Ghazala Aziz & Zouheir Mighri, 2022. "Carbon Dioxide Emissions and Forestry in China: A Spatial Panel Data Approach," Sustainability, MDPI, vol. 14(19), pages 1-40, October.
    14. Daniel Gama e Colombo, 2016. "Impact Assessment of Tax Incentives to Foster Industrial Innovation in Brazil: The Case of Law 11,196/05," Working Papers, Department of Economics 2016_30, University of São Paulo (FEA-USP).
    15. Elina Ladinska & Marielle Non & Bas Straathof, 2015. "More R&D with tax incentives? A meta-analysis," CPB Discussion Paper 309.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
    16. Viktorie Klímová & Vladimír Žítek & Maria Králová, 2020. "How Public R&D Support Affects Research Activity of Enterprises: Evidence from the Czech Republic," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 11(3), pages 888-907, September.
    17. 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.
    18. Patricia Suárez & Matías Mayor & Begoña Cueto, 2012. "The accessibility to employment offices in the Spanish labour market," Papers in Regional Science, Wiley Blackwell, vol. 91(4), pages 823-848, November.
    19. Hottenrott, Hanna & Richstein, Robert, 2020. "Start-up subsidies: Does the policy instrument matter?," Research Policy, Elsevier, vol. 49(1).
    20. Elina Ladinska & Marielle Non & Bas Straathof, 2015. "More R&D with tax incentives? A meta-analysis," CPB Discussion Paper 309, CPB Netherlands Bureau for Economic Policy Analysis.
    21. Alessandro Sterlacchini & Francesco Venturini, 2019. "R&D tax incentives in EU countries: does the impact vary with firm size?," Small Business Economics, Springer, vol. 53(3), pages 687-708, October.
    22. Cantner, Uwe & Graf, Holger & Herrmann, Johannes & Kalthaus, Martin, 2016. "Inventor networks in renewable energies: The influence of the policy mix in Germany," Research Policy, Elsevier, vol. 45(6), pages 1165-1184.
    23. Zhao, Bo & Ziedonis, Rosemarie, 2020. "State governments as financiers of technology startups: Evidence from Michigan's R&D loan program," Research Policy, Elsevier, vol. 49(4).
    24. Spyros Arvanitis, 2013. "Micro-econometric approaches to the evaluation of technology-oriented public programmes: a non-technical review of the state of the art," Chapters, in: Albert N. Link & Nicholas S. Vonortas (ed.), Handbook on the Theory and Practice of Program Evaluation, chapter 3, pages 56-88, Edward Elgar Publishing.

    More about this item

    Keywords

    French policy mix; Additionality; spatial panel; structural breaks; R&D investment;
    All these keywords.

    JEL classification:

    • H25 - Public Economics - - Taxation, Subsidies, and Revenue - - - Business Taxes and Subsidies
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:hal:wpaper:hal-01559041. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.