Co-auteur
  • MASSARD Nadine (2)
  • HERRERA Marcos (2)
  • NESTA Lionel (1)
  • DIBIAGGIO Ludovic (1)
Type de Document
  • Working paper (2)
  • Article (1)
  • Contribution à un site web (1)
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We propose the concept of regional alignment to suggest that synergistic relations among the scientific expertise, technological specialization and industry composition of regions affect regional productivity growth. In this paper, we test an extended conditional β-convergence model using data on 94 French departments (NUTS3) for the period 2001-2011. Our results indicate that a conditional β-convergence is associated with a σ-divergence process in the total factor productivity (TFP) growth of French regions. This process is strongly affected by the level of regional alignment. Indeed, we find evidence that regional alignment both directly and indirectly influences regional productivity growth. The indirect effect of regional alignment materializes through its leverage on R&D investment, which is one of the most important drivers of productivity growth. Moreover, using a heterogeneous coefficients model, we show that the positive effect of regional alignment on TFP growth increases with the industrial diversity of regions, which suggests that regional alignment increases the value of Jacobs externalities more than Marshall-ArrowRomer (MAR) externalities. KEY

in Research Policy Publié en 2018-12
HERRERA Marcos
MASSARD Nadine
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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.

La France peut être perçue comme un laboratoire d’expérimentation unique en termes de soutien public à l’investissement en R&D. En effet, depuis la réforme du Crédit d’impôt recherche en 2008, notre pays est devenu le plus généreux en matière d’incitations fiscales à la R&D au sein des pays de l’OCDE (OECD, 2018a. Le seul crédit d’impôt représentait en 2014 (MESRI, 2017) une créance de près de 6 milliards d’euros pour l’Etat et le régime spécifique d’imposition des revenus de concession de brevets (15%) coûte à l’état entre 600 et 800 millions d’euros par an. A ces pertes de revenus fiscaux s’ajoutent les différentes mesures de soutien direct à l’innovation (subventions, prêts à taux bonifiés, etc.) financées principalement via la Banque publique d’investissement (BPI), les Pôles de compétitivité, les collectivités locales et la Commission européenne. Ces aides directes représentaient en 2014 environ 3,5 milliards d’euros. Ainsi, aujourd’hui, le coût de l’ensemble de ces mesures de soutien à l’innovation dépasse nettement les 10 milliards d’euros par an, soit près d’un demi-point de PIB. [Premier paragraphe]

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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.