2006
DOI: 10.1080/09654310600933314
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Where Do Firms Choose to Locate Their R&D? A Spatial Conditional Logit Analysis on French Data

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Cited by 52 publications
(58 citation statements)
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“…In line with previous analyses (Autant -Bernard, 2006;Kearns and Görg, 2002;Mariotti et al, 2010), we conclude that foreign subsidiaries and domestic firms differ concerning the location of their respective R&D activities.…”
Section: Source: Authors' Calculations Based On Pitecsupporting
confidence: 75%
See 1 more Smart Citation
“…In line with previous analyses (Autant -Bernard, 2006;Kearns and Görg, 2002;Mariotti et al, 2010), we conclude that foreign subsidiaries and domestic firms differ concerning the location of their respective R&D activities.…”
Section: Source: Authors' Calculations Based On Pitecsupporting
confidence: 75%
“…We believe analysing foreign subsidiaries in isolation may not be sufficient to understand their specific spatial strategy: comparing R&D subsidiary location to the R&D location patterns of domestic firms can improve our understanding of such possible specificities. One of the few exceptions in this literature is Autant-Bernard (2006), who analyses the location decision of R&D labs in France and controls for foreign-ownership status. She shows that foreign-owned R&D labs were more likely to locate in the main industrial regions as well as in frontier regions.…”
Section: Introductionmentioning
confidence: 99%
“…Since the seminal papers of Jaffe (1989) and Nelson (1986), studies have recognized the emcial role of geographical proximity to benefit from spillovers of academic research (Abramovsky etal, 2007;Anselin etal, 1997;Autant-Bemard, 2006;Bania etal, 1992;Furman et al, 2006). Despite this extensive literature analyzing the relationship between industrial R&D and academic research, there is surprisingly little research on whether the promise of spillovers from academia actually affects the locafions of intemational R&D investments by mulfinational firms.…”
Section: Introductionmentioning
confidence: 96%
“…Spatial-probit models are commonplace in empirical studies of residential development decisions involving spatial qualitative dependent variables such as neighborhood spillover effects (e.g., Autant-Bernard 2006;Beron et al 2003;Coughlin et al 2003;Garrett et al 2005;Holloway et al 2002;Lacombe and Shaughnessy 2005;Mukherjee and Singer 2007;Murdoch et al 2003;Novo 2003;Schofield et al 2003;Rathbun and Fei 2006). The reduced form of the spatial-probit model is y=(I -ρW) −1 Xβ+u, u=(I -λW) −1 ε, ε~N(0, I), where y is an observed binary-outcome; W is a nonstochastic, positive definite, exogenous matrix identifying neighborhood connections; X is an n×(k+1) matrix representing exogenous variables; β is a vector of parameter; and the scalars ρ and l are, respectively, coefficients of the spatially lagged dependent variable and the spatial autoregressive structure for the disturbance u.…”
Section: Empirical Modelmentioning
confidence: 99%