Innovation Policies in Tuscany: an Impact Evaluation on SME

Ghinoi, Stefano (2016) Innovation Policies in Tuscany: an Impact Evaluation on SME, [Dissertation thesis], Alma Mater Studiorum Università di Bologna. Dottorato di ricerca in Scienze statistiche, 28 Ciclo. DOI 10.6092/unibo/amsdottorato/7257.
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In the last decades, evaluation has become an essential tool for policymakers, because it provides unbiased estimates of a policy effect. The purpose of an evaluation is to explore the causal relationship between the implementation of a policy and its effects – the “impact”. In the programming period 2007-2013, the European Commission – and the member States of the EU – have focused their attention on the development of innovation policies within Regional Innovation Systems: for this reason, the innovation policies have been particularly involved in evaluation processes. Six Italian regions have created the Poli di innovazione (Innovation poles), networks of universities, services centres, incubators, public and private laboratories, and enterprises, whose goals are to foster the creation of networks and to stimulate firms’ economic performance through the support in R&D activities. Due to the novelty of the policy, this research is a first attempt to evaluate the Poles, using the Tuscan context as case study. Tuscany Region have supported the creation of twelve poles, facilitating the access to a call for tender for the purchase of R&D qualified services. Using matching and difference-in-differences methods, it has been estimated the Average Treatment on the Treated – in terms of Total Factor Productivity and Labor Productivity – for three possible cases: subsidized SME, SME members of the Poles, subsidized SME members of the Poles. In addition, it has been implemented a model that include network centrality measures to assess the effect of the Poles on the performance of the firms. It emerges that the subsidized firms which belong to the poles experience on average a productivity gain towards the end of the period of subsidization, and the centrality of their pole have a positive effect, which is particularly relevant for the top enterprises – in terms of productivity.

Tipologia del documento
Tesi di dottorato
Ghinoi, Stefano
Dottorato di ricerca
Scuola di dottorato
Scienze economiche e statistiche
Settore disciplinare
Settore concorsuale
Parole chiave
Innovation policies, Evaluation, Propensity Score Matching, Difference-in-Differences, Social Network Analysis
Data di discussione
26 Febbraio 2016

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