Who participates in R&D subsidy programs?: The case of Spanish manufacturing firms
By J. Blanes, Isabel Busom. 2004
335 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/b479bbec6299ad1003ff787bb71758a1ea2a7b75
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Cindy Lopes-Bento
- Tommy Høyvarde Clausen
- Oliviero A. Carboni
- Emilio Raiteri
- Marco Guerzoni
- Dirk Czarnitzki
- Elena Huergo
- L. Moreno
In Strategy and Management
- Tommy Høyvarde Clausen
- Cindy Lopes-Bento
- Oliviero A. Carboni
- Aida Caldera
- L. Moreno
- Stéphane Lhuillery
- J. I. Galan
- Elena Huergo
Citations in the corpus
- The effects of R&D tax credits on patenting and innovations (2012, background): “Like Blanes and Busom (2004), we include measures of the skill of the employees, lagged R&D activity, firm size and financing constraints as explanatory variables in the participation equation.”
- Subsidies or loans? Evaluating the impact of R&D support programmes (2017, positive): “…have been awarded a European subsidy than in firms with a national subsidy, and superior in these nationally-subsidized firms than in firms with a CDTI loan (see Table 3).7 6 See, for instance, Blanes and Busom (2004), González et al. (2005), Heijs (2005), Clausen (2008) or Huergo et al (2016).”
- Picking the winner? Empirical evidence on the targeting of R&D subsidies to start-ups (2012, neutral): “Looking at both regional and national support schemes that are targeted at private research and development (R&D), Blanes and Busom (2004) find that funding authorities pursue different allocation rules.”
- Evaluating the impact of public subsidies on a firm's performance: A quasi-experimental approach (2007, positive): “Although some studies take the regional dimension into account in the concession of R&D subsidies, (Czarnitzki and Fier, 2002; Blanes and Busom, 2004) the literature on the evaluation of regional innovation policy is still scarce and offers little information on the performance of regional innovatio”
- ASSESSING THE EFFECT OF PUBLIC SUBSIDIES ON FIRM R&D INVESTMENT: A SURVEY (2014, background): “, 2011) and that public R&D subsidies appear as a public policy instrument aimed at offsetting the negative effect of financial constraints on private R&D activities (Wren, 1994; Blanes and Busom, 2004; Hyytinen and Toivanen, 2005).”
- Do public subsidies stimulate private R&D spending? (2008, neutral): “30 Blanes and Busom (2004) also analyze the determinants of participation in R&D subsidy programs using data from the same survey.”
- R&D support programs in developing countries: The Turkish experience (2008, neutral): “These two studies used such control variables as size, royalties, 4 Blanes and Busom (2004) specifically analyze the decision to participate in R&D support programs. depreciation, profits, product diversification, etc.”
- R&D subsidies and private R&D expenditures: evidence from Italian manufacturing data (2011, positive): “Since government grants are likely to be cheaper than funds from the capital markets, firms are encouraged to apply for public support even when private funds are available (Jaffe 2002; Blanes and Busom 2004).”
- Innovation and exporting: evidence from Spanish manufacturing firms (2010, methodology): “As a baseline model to estimate equation (13) I use the Olley and Pakes methodology (1996).”
- Innovation Subsidies: Does the Funding Source Matter for Innovation Intensity and Performance? Empirical Evidence from Germany (2014, background): “Blanes and Busom (2004) analyze the heterogeneity of regional and national subsidy programs in Spain.”
- Demand-side vs. supply-side technology policies: Hidden treatment and new empirical evidence on the policy mix (2015, background): “…of extraneous variables, that is, unobserved firm characteristics that 1 Many other studies can be cited which can corroborate these hypotheses in a non quasi-experimental setting as well, such as Hussinger (2008) and Blanes and Busom (2004), which still control in various ways for selection bias.”