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CLUSTER POLICIES AND FIRM SELECTION: EVIDENCE FROM FRANCE
Author(s) -
Fontagné Lionel,
Koenig Pamina,
Mayneris Florian,
Poncet Sandra
Publication year - 2013
Publication title -
journal of regional science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.171
H-Index - 79
eISSN - 1467-9787
pISSN - 0022-4146
DOI - 10.1111/jors.12050
Subject(s) - selection (genetic algorithm) , cluster (spacecraft) , process (computing) , contrast (vision) , business , regional science , economics , public economics , computer science , geography , artificial intelligence , programming language , operating system
We shed light on the selection of beneficiaries from the French competitiveness cluster policy, launched in 2005 and extended to 2012. We disentangle the selection and self‐selection effects, as emphasized in the theoretical literature on regional and industrial policy. Our main conclusion is that winners were (self‐)selected at both steps of the procedure, and that this holds for the three cluster types: “worldwide,” “potentially worldwide,” and “national clusters.” We thus provide a methodology which allows to contrast the effective outcomes of the selection process and the official objectives of cluster policies in terms of targeting, helping in their econometric evaluation.