A. Agrawal, D. Kapur, and J. Mchale, How do spatial and social proximity influence knowledge flows? Evidence from patent data, Journal of Urban Economics, vol.64, issue.2, pp.258-269, 2008.
DOI : 10.1016/j.jue.2008.01.003

P. Almeida and B. Kogut, Localization of Knowledge and the Mobility of Engineers in Regional Networks, Management Science, vol.45, issue.7, pp.905-917, 1999.
DOI : 10.1287/mnsc.45.7.905

M. Andersson and H. Lööf, Agglomeration and Productivity ? evidence from firm? level data, CESIS Electronic Working Paper Series, Paper No, vol.170, p.29, 2009.

L. Anselin, Spatial Econometrics, Methods and Models Kluwer Academic, 1988.
DOI : 10.1007/978-94-015-7799-1

L. Anselin, A. Varga, and Z. Acs, Local Geographic Spillovers between University Research and High Technology Innovations, Journal of Urban Economics, vol.42, issue.3, pp.422-448, 1997.
DOI : 10.1006/juec.1997.2032

L. Anselin, L. Gallo, and J. , Interpolation of Air Quality Measures in Hedonic House Price Models: Spatial Aspects, Spatial Economic Analysis, vol.36, issue.1, pp.31-52, 2006.
DOI : 10.2307/3147223

URL : https://hal.archives-ouvertes.fr/hal-00401242

L. Anselin, L. Gallo, J. Jayet, and H. , Spatial Panel Econometrics, 2008.
DOI : 10.1007/978-3-540-75892-1_19

. Sevestre, The Econometrics of Panel Data
URL : https://hal.archives-ouvertes.fr/halshs-00279977

D. Audretsch and M. Feldman, R&D Spillovers and the Geography of Innovation and Production, The American Economic Review, pp.630-640, 1996.

E. Bergman and S. Usai, Knowledge Diffusion in European Regions, 2009.

L. Bottazzi and G. Peri, The International Dynamics of R&D and Innovation in the Long Run and in The Short Run, The Economic Journal, vol.13, issue.5, pp.486-511, 2007.
DOI : 10.2307/2946695

S. Breschi and F. Lissoni, Mobility of inventors and the geography of knowledge spillovers. New evidence on US data, ADRES conference, pp.14-15, 2006.

S. Breschi and F. Lissoni, Mobility of skilled workers and co-invention networks: an anatomy of localized knowledge flows, Journal of Economic Geography, vol.9, issue.4, pp.439-468, 2009.
DOI : 10.1093/jeg/lbp008

M. Caniëls, The Geographic Distribution of Patents and Value Added Across European, Research Memoranda 003: MERIT, Maastricht Economic Research Institute on Innovation and Technology, 1998.

C. Erthur, N. Debarsy, and J. Lesage, Interpreting Dynamic Space?Time Panel Data Models, 2010.

M. Feldman, The geography of innovation, p.153, 1994.

M. M. Fischer, T. Scherngell, and E. Jansenberger, The Geography of Knowledge Spillovers Between High-Technology Firms in Europe: Evidence from a Spatial Interaction Modeling Perspective, Geographical Analysis, vol.46, issue.28, pp.288-309, 2006.
DOI : 10.1016/S0048-7333(00)00089-5

M. M. Fischer and D. A. Griffith, MODELING SPATIAL AUTOCORRELATION IN SPATIAL INTERACTION DATA: AN APPLICATION TO PATENT CITATION DATA IN THE EUROPEAN UNION*, Journal of Regional Science, vol.39, issue.5, pp.969-989, 2008.
DOI : 10.1111/j.1467-9787.2008.00572.x

A. Jaffe, M. Trajtenberg, and R. Henderson, Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations, The Quarterly Journal of Economics, vol.108, issue.3, pp.577-598, 1993.
DOI : 10.2307/2118401

D. Johnson, N. Siripong, and A. Brown, The Demise of Distance? The Declining Role of Physical Proximity for Knowledge Transmission, Growth and Change, vol.88, issue.1, pp.19-33, 2006.
DOI : 10.1111/0022-4146.00175

C. Jones, R & D-Based Models of Economic Growth, Journal of Political Economy, vol.103, issue.4, pp.759-582, 1995.
DOI : 10.1086/262002

M. Kapoor, H. H. Kelejian, and I. R. Prucha, Panel data models with spatially correlated error components, Journal of Econometrics, vol.140, issue.1, pp.97-130, 2007.
DOI : 10.1016/j.jeconom.2006.09.004

R. Lata and T. Scherngell, The Spatio-Temporal Distribution of European R&D Networks: Evidence Using Eigenvector Spatially Filtered Spatial Interaction Models, SSRN Electronic Journal, 2010.
DOI : 10.2139/ssrn.1720945

L. L?f and J. Yu, Some recent developments in spatial panel data models, Regional Science and Urban Economics, 2010.

J. Lesage, M. Fischer, and T. Scherngell, Knowledge spillovers across Europe: Evidence from a Poisson spatial interaction model with spatial effects, Papers in Regional Science, vol.46, issue.3, pp.393-422, 2007.
DOI : 10.1093/jeg/4.1.23

J. Lesage and O. Parent, Spatial dynamic panel data models with random effects applied to highway induced vehicle travel demand, 2009.

M. Maggioni, M. Nosvelli, and E. Uberti, Space Vs. Networks in the Geography of Innovation: A European Analysis, SSRN Electronic Journal, vol.86, issue.3, pp.471-493, 2007.
DOI : 10.2139/ssrn.952937

M. Maggioni and T. Uberti, Knowledge networks across Europe: which distance matters?, The Annals of Regional Science, pp.691-720, 2009.

M. Maggioni, F. Gambarotto, and E. Uberti, Mapping the Evolution of 'Clusters': A Meta-Analysis, SSRN Electronic Journal, 2009.
DOI : 10.2139/ssrn.1489308

J. Mairesse and B. Mulkay, An exploration of local R&D spillovers in France, Annales d'Economie et de Statistiques, pp.145-166, 2007.

P. T. Martin, F. Mayer, and . Mayneris, Spatial concentration and plant-level productivity in France, Spatial Concentration and Plant?Level Productivity in France, pp.182-195, 2011.
DOI : 10.1016/j.jue.2010.09.002

URL : https://hal.archives-ouvertes.fr/hal-01071849

E. Miguélez and R. Moreno, Research Networks and Inventors' Mobility as Drivers of Innovation: Evidence from Europe, Regional Studies, vol.79, issue.10, 2010.
DOI : 10.1111/j.1435-5957.2010.00302.x

P. Mika, T. Elfing, and P. Groenewegen, Application of semantic technology for social network analysis in the sciences, Scientometrics, vol.68, issue.1, pp.3-27, 2006.
DOI : 10.1007/s11192-006-0081-5

J. Paelinck and L. H. Klaassen, Spatial econometrics, Economics Letters, vol.1, issue.1, 1979.
DOI : 10.1016/0165-1765(78)90097-6

O. Parent and J. Lesage, Using the variance structure of the conditional autoregressive spatial specification to model knowledge spillovers, Journal of Applied Econometrics, vol.121, issue.2, pp.235-256, 2008.
DOI : 10.1002/jae.981

URL : https://hal.archives-ouvertes.fr/hal-00375311

O. Parent and J. Lesage, A spatial dynamic panel model with random effects applied to commuting times, Transportation Research Part B: Methodological, vol.44, issue.5, pp.633-645, 2010.
DOI : 10.1016/j.trb.2010.01.004

O. Parent and J. Lesage, A space???time filter for panel data models containing random effects, Computational Statistics & Data Analysis, vol.55, issue.1, pp.475-490, 2011.
DOI : 10.1016/j.csda.2010.05.016

M. Partridge and D. Rickman, Static and dynamic externalities, industry composition and state labour productivity: a panel study of states, Southern Economic Journal, vol.66, issue.2, 1999.

R. Ponds, F. Van-oort, and K. Frenken, The geographical and institutional proximity of research collaboration, Papers in Regional Science, vol.46, issue.3, pp.341-524, 2007.
DOI : 10.1023/A:1014208219788

P. Romer, Endogenous Technological Change, Journal of Political Economy, vol.98, issue.5, Part 2, pp.71-102, 1990.
DOI : 10.1086/261725

T. Scherngell and M. J. Barber, Spatial interaction modelling of cross-region R&D collaborations: empirical evidence from the 5th EU framework programme, Papers in Regional Science, vol.83, issue.3, pp.531-546, 2009.
DOI : 10.1111/j.1435-5957.2008.00215.x

T. Snijders, C. Steglich, M. Schweinberger, and M. Huisman, Manual for siena version 3, 2007.

J. Singh, Collaborative Networks as Determinants of Knowledge Diffusion Patterns, Management Science, vol.51, issue.5, pp.756-770, 2005.
DOI : 10.1287/mnsc.1040.0349

O. Sorenson, J. W. Rivkin, and L. Fleming, Complexity, networks and knowledge flow, Complexity, networks and knowledge flow, pp.994-1017, 2006.
DOI : 10.1016/j.respol.2006.05.002

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.115.7069

L. Su and Z. Yang, QML estimation of dynamic panel data models with spatial errors, Journal of Econometrics, vol.185, issue.1, 2007.
DOI : 10.1016/j.jeconom.2014.11.002

T. Wal and A. , The Dynamics of the Inventor Network in German Biotechnology: Geographical Proximity versus Triadic Closure, 2010.

G. Vertova, A historical investigation of the geography of innovative activities, Structural Change and Economic Dynamics, pp.259-283, 2002.

J. Yu, R. De-jong, and L. Lee, Quasi-maximum likelihood estimators for spatial dynamic panel data with fixed effects when both n and T are large, Journal of Econometrics, vol.146, issue.1, pp.118-134, 2008.
DOI : 10.1016/j.jeconom.2008.08.002

L. L?f and J. Yu, Estimation of spatial autoregressive panel data models with fixed effects, Journal of Econometrics, vol.154, pp.165-185, 2010.

L. Zucker, M. Darby, and J. Armstrong, Intellectual Capital and the Firm: the Technology of Geographically Localized Knowledge Spillovers, NBER Working Paper Series, p.59, 1994.