L. Anselin, Spatial econometrics: Methods and models, 1988.
DOI : 10.1007/978-94-015-7799-1

C. Autant-bernard, M. Fadairo, and N. Massard, Knowledge diffusion and innovation policies within the European regions: Challenges based on recent empirical evidence, Research Policy, vol.42, issue.1, pp.196-210, 2013.
DOI : 10.1016/j.respol.2012.07.009

URL : https://hal.archives-ouvertes.fr/halshs-00491062

H. Bathelt and P. Cohendet, The creation of knowledge: local building, global accessing and economic development???toward an agenda, Journal of Economic Geography, vol.14, issue.5, pp.869-882, 2014.
DOI : 10.1093/jeg/lbu027

K. Behrens, C. Ertur, and W. Koch, ???DUAL??? GRAVITY: USING SPATIAL ECONOMETRICS TO CONTROL FOR MULTILATERAL RESISTANCE, Journal of Applied Econometrics, vol.62, issue.5, pp.773-794, 2012.
DOI : 10.1007/978-94-015-7799-1

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.688.4406

F. Belotti, G. Hughes, and A. P. Mortari, XSMLE: Stata module for spatial panel data models estimation, 2014.
DOI : 10.2139/ssrn.2754703

C. Bérubé and P. Mohnen, Are firms that receive R&D subsidies more innovative?, Canadian Journal of Economics/Revue canadienne d'??conomique, vol.39, issue.1, pp.206-225, 2009.
DOI : 10.1007/978-3-642-59009-2

A. Bozio, D. Irac, and L. Py, Impact of Research Tax Credit on R&D and Innovation: Evidence from the 2008 French Reform, SSRN Electronic Journal, 2014.
DOI : 10.2139/ssrn.2544604

O. Brossard and I. Moussa, The French cluster policy put to the test with differences-in-differences estimates, Economics Bulletin, vol.34, issue.1, pp.520-529, 2014.
URL : https://hal.archives-ouvertes.fr/halshs-01228857

J. R. Brown, G. Martinsson, and B. C. Petersen, What promotes R&D? Comparative evidence from around the world, Research Policy, vol.46, issue.2, pp.447-462, 2017.
DOI : 10.1016/j.respol.2016.11.010

B. Corchuelo and E. Martínez-ros, The effects of fiscal incentives for R&D in Spain. Business Economic Series, pp.9-23, 2009.

R. Crescenzi, A. Rodríguez-pose, and M. Storper, The territorial dynamics of innovation: a Europe United States comparative analysis, Journal of Economic Geography, vol.7, issue.6, pp.673-709, 2007.
DOI : 10.1093/jeg/lbm030

P. A. David, B. H. Hall, and A. A. Toole, Is public R&D a complement or substitute for private R&D? A review of the econometric evidence, Research Policy, vol.29, issue.4-5, pp.497-529, 2000.
DOI : 10.1016/S0048-7333(99)00087-6

E. Duguet, 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'??conomie politique, vol.122, issue.3, pp.405-435, 2012.
DOI : 10.3917/redp.223.0405

URL : https://hal.archives-ouvertes.fr/halshs-00674546

M. Dumont, The impact of subsidies and fiscal incentives on corporate R&D expenditures in Belgium, Reflets et perspectives de la vie économique 1, pp.69-91, 2001.

O. Falck, S. Heblich, and S. Kipar, Industrial innovation: Direct evidence from a cluster-oriented policy, Regional Science and Urban Economics, vol.40, issue.6, pp.574-582, 2010.
DOI : 10.1016/j.regsciurbeco.2010.03.007

R. Florax and H. Folmer, Specification and estimation of spatial linear regression models, Regional Science and Urban Economics, vol.22, issue.3, pp.405-432, 1992.
DOI : 10.1016/0166-0462(92)90037-2

R. J. Florax, H. Folmer, and S. J. Rey, Specification searches in spatial econometrics: the relevance of Hendry???s methodology, Regional Science and Urban Economics, vol.33, issue.5, pp.557-579, 2003.
DOI : 10.1016/S0166-0462(03)00002-4

R. J. Florax, H. Folmer, and S. J. Rey, A comment on specification searches in spatial econometrics: The relevance of Hendry's methodology: A reply, Regional Science and Urban Economics, vol.36, issue.2, pp.300-308, 2006.
DOI : 10.1016/j.regsciurbeco.2005.10.002

I. B. Freitas, F. Castellacci, R. Fontana, F. Malerba, and A. Vezzulli, Sectors and the additionality effects of R&D tax credits: A cross-country microeconometric analysis, Research Policy, vol.46, issue.1, pp.57-72, 2017.
DOI : 10.1016/j.respol.2016.10.002

J. García-quevedo, Do Public Subsidies Complement Business R&D? A Meta-Analysis of the Econometric Evidence, Kyklos, vol.66, issue.1, pp.87-102, 2004.
DOI : 10.1007/978-1-349-08882-9_2

S. Gibbons and H. G. Overman, MOSTLY POINTLESS SPATIAL ECONOMETRICS?*, Journal of Regional Science, vol.113, issue.3, pp.172-191, 2012.
DOI : 10.1111/1468-0297.00097

URL : http://eprints.lse.ac.uk/33559/1/sercdp0061.pdf

C. A. Gotway and L. J. Young, Combining Incompatible Spatial Data, Journal of the American Statistical Association, vol.97, issue.458, pp.632-648, 2002.
DOI : 10.1198/016214502760047140

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.498.8128

D. Guellec and B. Van-pottelsberghe-de-la-potterie, Does government support stimulate private R&D?, OECD economic studies, vol.29, pp.95-122, 1997.

D. Guellec and B. Van-pottelsberghe-de-la-potterie, The impact of public R&D expenditure on business R&D*, Economics of Innovation and New Technology, vol.74, issue.3, pp.225-243, 2003.
DOI : 10.2307/2601030

D. F. Hendry, Predictive failure and econometric modelling in macroeconomics: The transactions demand for money Economic Modelling: Current Issues and Problems in Macroeconomic Modelling in the UK and the US, pp.217-242, 1979.

D. F. Hendry, A comment on ???Specification searches in spatial econometrics: The relevance of Hendry's methodology???, Regional Science and Urban Economics, vol.36, issue.2, pp.309-312, 2006.
DOI : 10.1016/j.regsciurbeco.2005.10.001

A. Hoff, The Linear Approximation of the CES Function with n Input Variables, Marine Resource Economics, vol.19, issue.3, pp.295-306, 2004.
DOI : 10.1086/mre.19.3.42629436

H. Hottenrott, C. Lopes-bento, and R. Veugelers, Direct and cross scheme effects in a research and development, Research Policy, vol.46, issue.6, pp.1118-1132, 2017.
DOI : 10.1016/j.respol.2017.04.004

J. Howe and D. G. Mcfetridge, The Determinants of R & D Expenditures, The Canadian Journal of Economics, vol.9, issue.1, pp.57-71, 1976.
DOI : 10.2307/134415

E. Huergo and L. Moreno, Subsidies or loans? evaluating the impact of r&d support programmes. Research Policy, 2017.

K. S. Im, M. H. Pesaran, and Y. Shin, Testing for unit roots in heterogeneous panels, Journal of Econometrics, vol.115, issue.1, pp.53-74, 2003.
DOI : 10.1016/S0304-4076(03)00092-7

J. Kmenta, On Estimation of the CES Production Function, International Economic Review, vol.8, issue.2, pp.180-189, 1967.
DOI : 10.2307/2525600

T. Le and A. B. Jaffe, The impact of R&D subsidy on innovation: evidence from New Zealand firms, Economics of Innovation and New Technology, vol.30, issue.2, pp.429-452, 2017.
DOI : 10.1111/obes.12040

L. Lee and J. Yu, Estimation of spatial autoregressive panel data models with fixed effects, Journal of Econometrics, vol.154, issue.2, pp.165-185, 2010.
DOI : 10.1016/j.jeconom.2009.08.001

P. Mohnen and B. Lokshin, What does it take for an r&d tax incentive policy to be effective? UNU- MERIT Working Paper Series 14, 2009.
DOI : 10.2139/ssrn.1499876

B. Montmartin, Intensit?? de l???investissement priv?? en R&D dans les pays de l???OCDE, Revue ??conomique, vol.64, issue.3, pp.541-550, 2013.
DOI : 10.3917/reco.643.0541

B. Montmartin and M. Herrera, Internal and external effects of R&D subsidies and fiscal incentives: Empirical evidence using spatial dynamic panel models, Research Policy, vol.44, issue.5, pp.1065-1079, 2015.
DOI : 10.1016/j.respol.2014.11.013

URL : https://hal.archives-ouvertes.fr/halshs-01239454

K. Morgan, The exaggerated death of geography: learning, proximity and territorial innovation systems, Journal of Economic Geography, vol.4, issue.1, pp.3-21, 2004.
DOI : 10.1093/jeg/4.1.3

J. Mur and A. Angulo, Model selection strategies in a spatial setting: Some additional results, Regional Science and Urban Economics, vol.39, issue.2, pp.200-213, 2009.
DOI : 10.1016/j.regsciurbeco.2008.05.018

J. Nishimura and H. Okamuro, Subsidy and networking: The effects of direct and indirect support programs of the cluster policy, Research Policy, vol.40, issue.5, pp.714-727, 2011.
DOI : 10.1016/j.respol.2011.01.011

S. Openshaw, A geographical solution to scale and aggregation problems in region-building, partitioning and spatial modelling. Transactions of the institute of british geographers, pp.459-472, 1977.

M. H. Pesaran, General diagnostic tests for cross section dependence in panels, 2004.

M. H. Pesaran, A simple panel unit root test in the presence of cross-section dependence, Journal of Applied Econometrics, vol.19, issue.2, pp.265-312, 2007.
DOI : 10.1111/j.1468-0084.1995.tb00040.x

A. Varga, D. Pontikakis, and G. Chorafakis, Metropolitan Edison and cosmopolitan Pasteur? Agglomeration and interregional research network effects on European R&D productivity, Journal of Economic Geography, vol.14, issue.2, pp.229-263, 2014.
DOI : 10.1093/jeg/lbs041

S. H. Vega and J. P. Elhorst, On spatial econometric models, spillover effects, and w, 53rd ERSA Congress, 2013.

Y. Wang, J. Li, and J. L. Furman, Firm performance and state innovation funding: Evidence from China???s Innofund program, Research Policy, vol.46, issue.6, 2017.
DOI : 10.1016/j.respol.2017.05.001

D. J. Wilson, Beggar Thy Neighbor? The In-State, Out-of-State, and Aggregate Effects of R&D Tax Credits, Review of Economics and Statistics, vol.57, issue.2005, pp.431-436, 2009.
DOI : 10.1016/0047-2727(92)90020-G

N. Wrigley, Revisiting the modifiable areal unit problem and the ecological fallacy, Diffusing geography: Essays Presented to Peter Haggett, pp.123-181, 1995.

J. Á. Zúñiga-vicente, C. Alonso-borrego, F. J. Forcadell, and J. Galán, ASSESSING THE EFFECT OF PUBLIC SUBSIDIES ON FIRM R&D INVESTMENT: A SURVEY, Journal of Economic Surveys, vol.17, issue.1, pp.36-67, 2014.
DOI : 10.1016/j.chieco.2005.04.002