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The impact of the French policy mix on business R&D: How geography matters

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  • Montmartin, Benjamin
  • Herrera, Marcos
  • Massard, Nadine

Abstract

Based on a spatial extension of an R&D investment model, this paper measures the macroeconomic impact of the French R&D policy mix on business R&D using regional data. Our measure takes into account not only the direct effect of policies but also indirect effects generated by the existence of spatial interaction between regions. Using a unique database containing information on the levels of various R&D policy instruments received by firms in French NUTS3 regions over the period 2001–2011, our estimates of a spatial Durbin model with structural breaks and fixed effects reveal the existence of a negative spatial dependence among R&D investments in regions. In this context, while a-spatial estimates would conclude that all instruments have a crowding-in effect, we show that national subsidies are the only instrument that is able to generate significant crowding-in effects. On the contrary, it seems that the design, size and spatial allocation of funds from the other instruments (tax credits, local subsidies, European subsidies) lead them to act (in the French context) as beggar-thy-neighbor policies.

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  • 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.
  • Handle: RePEc:eee:respol:v:47:y:2018:i:10:p:2010-2027
    DOI: 10.1016/j.respol.2018.07.009
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    1. 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.
    2. 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.
    3. Castellacci, Fulvio & Lie, Christine Mee, 2015. "Do the effects of R&D tax credits vary across industries? A meta-regression analysis," Research Policy, Elsevier, vol. 44(4), pages 819-832.
    4. 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.
    5. Benjamin Montmartin & Nadine Massard, 2015. "Is Financial Support For Private R&D Always Justified? A Discussion Based On The Literature On Growth," Journal of Economic Surveys, Wiley Blackwell, vol. 29(3), pages 479-505, July.
    6. 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.
    7. 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.
    8. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    9. 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).
    10. Federico Belotti & Gordon Hughes & Andrea Piano Mortari, 2017. "Spatial panel-data models using Stata," Stata Journal, StataCorp LP, vol. 17(1), pages 139-180, March.
    11. Anselin, Luc, 2002. "Under the hood : Issues in the specification and interpretation of spatial regression models," Agricultural Economics, Blackwell, vol. 27(3), pages 247-267, November.
    12. 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.
    13. Lee, Lung-fei & Yu, Jihai, 2010. "A Spatial Dynamic Panel Data Model With Both Time And Individual Fixed Effects," Econometric Theory, Cambridge University Press, vol. 26(2), pages 564-597, April.
    14. 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.
    15. 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.
    16. 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.
    17. Pesaran, M. Hashem & Vanessa Smith, L. & Yamagata, Takashi, 2013. "Panel unit root tests in the presence of a multifactor error structure," Journal of Econometrics, Elsevier, vol. 175(2), pages 94-115.
    18. 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.
    19. 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.
    20. Corinne Autant-Bernard & Nadine Massard, 2018. "Geography of innovation: new trends and implications for public policy renewal," Post-Print hal-01438818, HAL.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. 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.
    29. 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.
    30. Breidenbach, Philipp & Mitze, Timo & Schmidt, Christoph M, 2016. "EU Structural Funds and Regional Income Convergence - A Sobering Experience," CEPR Discussion Papers 11210, C.E.P.R. Discussion Papers.
    31. 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.
    32. Boris Lokshin & Pierre Mohnen, 2012. "How effective are level-based R&D tax credits? Evidence from the Netherlands," Applied Economics, Taylor & Francis Journals, vol. 44(12), pages 1527-1538, April.
    33. 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.
    34. 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).
    35. Corchuelo, Beatriz & Martínez Ros, Ester, 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.
    36. 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.
    37. Lanahan, Lauren & Feldman, Maryann P., 2015. "Multilevel innovation policy mix: A closer look at state policies that augment the federal SBIR program," Research Policy, Elsevier, vol. 44(7), pages 1387-1402.
    38. 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.
    39. 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.
    40. Benjamin Montmartin & Nadine Massard, 2015. "Is financial support for private R&D always justified? A discussion based on the literature on growth," Post-Print halshs-00952548, HAL.
    41. Dumont, Michel, 2017. "Assessing the policy mix of public support to business R&D," Research Policy, Elsevier, vol. 46(10), pages 1851-1862.
    42. 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.
    43. Minniti, Antonio & Venturini, Francesco, 2017. "The long-run growth effects of R&D policy," Research Policy, Elsevier, vol. 46(1), pages 316-326.
    44. Benjamin Montmartin & Nadine Massard, 2015. "Is Financial Support For Private R&D Always Justified? A Discussion Based On The Literature On Growth," Journal of Economic Surveys, Wiley Blackwell, vol. 29(3), pages 479-505, July.
    45. 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.
    46. Benjamin Montmartin & Nadine Massard, 2015. "Is financial support for private R&D always justified? A discussion based on the literature on growth," Post-Print hal-01220054, HAL.
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    Cited by:

    1. Paige Clayton & Maryann Feldman & Benjamin Montmartin, 2019. "Funding Emerging Ecosystems," GREDEG Working Papers 2019-25, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    2. 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.
    3. Pierre Courtioux & Antoine Reberioux & François Métivier, 2021. "The private return of R&D tax credit," Post-Print halshs-03182771, HAL.
    4. Caloffi, Annalisa & Freo, Marzia & Ghinoi, Stefano & Mariani, Marco & Rossi, Federica, 2022. "Assessing the effects of a deliberate policy mix: The case of technology and innovation advisory services and innovation vouchers," Research Policy, Elsevier, vol. 51(6).
    5. Michel Dumont, 2019. "Working Paper 04-19 - Tax incentives for business R&D in Belgium - Third evaluation," Working Papers 1904, Federal Planning Bureau, Belgium.
    6. Shoulin Pang & Shiting Dou & Huan Li, 2020. "Synergy effect of science and technology policies on innovation: Evidence from China," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-19, October.

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    More about this item

    Keywords

    Policy mix evaluation; R&D investment; Spatial panel; French NUTS3 regions;
    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
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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