Evaluating the Robustness of the Effect of Public Subsidies on Firms' R&amp;D: An Application to Italy

Cerulli, Giovanni; Potì, Bianca

doi:10.1016/s1514-0326(12)60013-0

Cited by 52 publications

(29 citation statements)

References 31 publications

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“…Exporting can have a positive impact on cooperation, given that exporters potentially have a larger network of cooperation partners than do non-exporting firms. Furthermore, exporting firms might have more incentive to innovate as a result of competitive pressure on international markets and thus be more likely to self-select into public support programmes (Busom and Fernández-Ribas 2008;Cerulli and Potí 2012;Czarnitzki and Lopes-Bento 2013). In addition, the model includes the variable measuring competitive pressure (Competition), which is equal to 1 if firms responded 'Very strong' to the question: 'How would you judge the competition in your main market(s)?…”

Section: Model Specificationmentioning

confidence: 99%

Promoting cooperation in innovation ecosystems: evidence from European traditional manufacturing SMEs

2018

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We investigate whether public support for innovation increases the propensity of SMEs in traditional manufacturing industries to cooperate for innovation-in particular, for incremental innovation-with other firms and external knowledge providers. Using data from seven EU regions, we find that support programmes do not promote cooperation with competitors, marginally promote cooperation with customers and suppliers and strongly promote cooperation with knowledge providers. These findings suggest that, in this case, the role of public policy is systems conforming rather than systems creating. Innovation support programmes can assist SMEs in traditional manufacturing industry to consolidate and/or extend their innovation ecosystems beyond familiar business partners by promoting cooperation with both private and public sector knowledge providers. Finally, our findings suggest that evaluation studies of innovation support programmes should be designed to capture not only input and/or output additionality but also behavioural and systemic effects.

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Section: Model Specificationmentioning

confidence: 99%

Promoting cooperation in innovation ecosystems: evidence from European traditional manufacturing SMEs

2018

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“…Econometric literature has developed several methods in order to solve these difficulties (Heckman, 1979;Aerts et al, 2006;Guo and Fraser, 2010;Cerulli and Potì, 2012). In this paper, we employ two of the most used methodologies: a Heckman's treatment effect model and an econometric matching procedure.…”

Section: Empirical Model and The Datamentioning

confidence: 99%

Subsidies or loans? Evaluating the impact of R&D support programmes

2017

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The objective of this study is to compare the effect of different types of public direct support for R&D projects on firms' technological capabilities. We distinguish between low-interest loans and national and European subsidies. Using data on 4,407 Spanish firms during the period 2002-2005, we estimate a multivariate probit to analyse the determinants of firms' participation in public R&D programmes and, later, the impact of this participation on firms' R&D activities using two different procedures. Regardless of the methodology employed for the analysis, the results suggest that being awarded any type of direct aid clearly increases the probability of conducting R&D activities. In terms of being supported through a unique instrument, the greatest effect corresponds to the case of European grants, where the impact is more than three times larger than the one of loans. As for R&D intensity, the hypothesis of full crowding-out of private R&D is rejected for all types of support. In addition, we find that the impacts of subsidies and loans reinforce each other when they are jointly awarded to SMEs. However, for large firms we cannot rule out the existence of crowding-out effect between subsidies and loans.

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“…The econometric literature has developed several methods in order to solve these difficulties (Bertoni et al, 2011;Cerulli and Pot ı, 2012;Heckman, 1979). In this paper, we use three different procedures.…”

Section: Empirical Model and Datamentioning

confidence: 99%

SME Performance and Public Support for International RJVs*

Barajas

Huergo

Martín

2016

Journal of Small Business Management

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The objective of the present study is to analyze the impact of public support for international research joint ventures on SME performance considering two dimensions: technological and economic results. The research is also intended to examine the time pattern of this effect. For that purpose, we use a panel dataset containing information about Spanish participants in consortia supported by the SME‐specific measures of the sixth Framework Programme. Empirical evidence corroborates a direct and positive impact on technological assets of participants. On the part of the economic indicators, EBITDA per employee and labor productivity are positively influenced by the improvement of technological background. All those effects are effective three years after the end of the project, confirming that SMEs are involved in market‐oriented R&D projects.

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Evaluating the Robustness of the Effect of Public Subsidies on Firms' R&D: An Application to Italy

Cited by 52 publications

References 31 publications

Promoting cooperation in innovation ecosystems: evidence from European traditional manufacturing SMEs

Promoting cooperation in innovation ecosystems: evidence from European traditional manufacturing SMEs

Subsidies or loans? Evaluating the impact of R&D support programmes

SME Performance and Public Support for International RJVs*

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