Evaluating the impact of public subsidies on a firm's performance : a two-stage quasi-experimental approach
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Evaluating the impact of public subsidies on a firm's performance : a two-stage quasi-experimental approach

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Evaluating the impact of public subsidies on a firm's performance : a two-stage quasi-experimental approach

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dc.contributor.author Duch-Brown, Néstor
dc.contributor.author Montolio Estivill, Daniel
dc.contributor.author Mediavilla Bordalejo, Mauro
dc.date.accessioned 2017-11-08T13:15:05Z
dc.date.available 2017-11-08T13:15:05Z
dc.date.issued 2009
dc.identifier.uri http://hdl.handle.net/10550/62997
dc.description.abstract In this paper we evaluate the effectiveness of regional R&D public programs in Catalonia (Spain) with a two-stage procedure. Firstly, we compare the performance of publicly subsidised companies (treated) with that of similar, but unsubsidised companies (non-treated). We use the Propensity Score Matching (PSM) methodology to construct a control group which, with regard to its observable characteristics, is as similar as possible to the treated group, and that allows us to identify firms which maintain the same propensity to receive public subsidies. Secondly, and once a valid comparison group has been established, we compare the respective performance of each firm using regression techniques. As a result, we find that recipient firms, on average, seem to increase their value added as a direct result of public subsidy programs.
dc.language.iso eng
dc.relation.ispartof Investigaciones Regionales, 2009, vol. 16, p. 143-165
dc.rights.uri info:eu-repo/semantics/openAccess
dc.source Duch-Brown, Néstor Montolio Estivill, Daniel Mediavilla Bordalejo, Mauro 2009 Evaluating the impact of public subsidies on a firm's performance : a two-stage quasi-experimental approach Investigaciones Regionales 16 143 165
dc.subject Empreses
dc.title Evaluating the impact of public subsidies on a firm's performance : a two-stage quasi-experimental approach
dc.type info:eu-repo/semantics/article
dc.date.updated 2017-11-08T13:15:06Z
dc.identifier.idgrec 068863

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