2010
DOI: 10.1504/ijtm.2010.029409
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Do incentives to industrial R&D enhance research productivity and firm growth? Evidence from the Italian case

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Cited by 23 publications
(18 citation statements)
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“…It seems that less productive firms benefited from the program, while firms with initially higher productivity tended to lag behind the control group after support. No significant effect of R&D support on value added in the manufacturing industry is documented in Merito [52], which deals with the Italian FSRA program. Also, Nam [53] finds no effect of the South Korean R&D program KTIPS on the sales of supported firms.…”
Section: Literature Reviewmentioning
confidence: 99%
“…It seems that less productive firms benefited from the program, while firms with initially higher productivity tended to lag behind the control group after support. No significant effect of R&D support on value added in the manufacturing industry is documented in Merito [52], which deals with the Italian FSRA program. Also, Nam [53] finds no effect of the South Korean R&D program KTIPS on the sales of supported firms.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Finally, the more general consolidated evidence is that evaluating the impact of R&D loans, subsidies and grants is extremely complex, even when individual programmes are relatively simple in terms of policy design and implementation. Only a limited number of impact evaluation studies can directly trace the full range of policy effects; none can attribute these effects to specific features of the corresponding programme (on the case of Italy, see Bertamino, Bronzini, De Maggio, & Revelli, 2016;Bondonio & Greenbaum, 2012;Bronzini & Piselli, 2016;Corsino, Gabriele, & Giunta, 2015;Fantino & Cannone, 2013;and Merito, Giannangeli, & Bonaccorsi, 2010).…”
Section: Implementation Of the Smart Specialisation Strategy (S3): Kementioning
confidence: 99%
“…Regarding public agencies, the selection process could favour innovation projects with high private returns or low risk, as their successful implementation might improve the image of the support programme (Callejón and García-Quevedo, 2005;Merito et al, 2010). Finally, asymmetric information between firms and public agencies could result in adverse selection of firms intending to use public funding to finance activities not related to innovation (Merito et al, 2010). David et al (2000) provide an extensive review of empirical evidence regarding the effect of public support on innovation and conclude that, although more empirical studies indicate complementarity than substitutability between public and private R&D funding, the overall conclusion is still ambiguous.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Cerulli and Potí, 2008;Hussinger, 2008;Aschhoff, 2009;Garcia and Mohnen, 2010;Schneider and Veugelers, 2010;Hewitt-Dundas and Roper;2010;Marzucchi, 2011;Herrera and Sánchez-Gonzáles, 2012), the introduction of product innovation (e.g. Hujer Like evaluations focused on input additionality, those investigating output additionality yield heterogeneous results (Merito et al, 2010; for review see Antonioli and Marzucchi, 2012;Cunningham et al, 2012). 7 In addition, studies investigating the effectiveness of public support 7 Antonioli and Marzucchi (2012), in particular, focus on behavioural additionality.…”
Section: Literature Reviewmentioning
confidence: 99%
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