Using Innovation Survey Data to Evaluate R&D Policy: The Case of Belgium
By Kris Aerts, Dirk Czarnitzki. 2004
124 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/22bc14851a420ab83eb60a5e870c630fc9ed31a0
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In Economics and Econometrics
- Tommy Høyvarde Clausen
- Oliviero A. Carboni
- Erol Taymaz
- Emre Özçelik
- Tobias Schmidt
- Kris Aerts
- K. Hussinger
- Jue Wang
Citations in the corpus
- Evaluating the impact of public subsidies on a firm's performance: A quasi-experimental approach (2007, unknown): “With Czarniztki and Fier (2002) and Aerts and Czarniztki (2004) who analyse the impact of R+D policies in the Flemish region in Belgium, and Gabrielle et al. (2006) who study the Trento region in Italy representing notable exceptions, the PSM technique has, however, scarcely been utilised in…”
- R&D subsidies and private R&D expenditures: evidence from Italian manufacturing data (2011, background): “See among others Busom (2000); Almus and Czarnitzki (2003); Aerts and Czarnitzki (2004); Duguet (2004); Gonzalez, Jaumandreu, and Pazó (2005); Hujer and Radic (2005); Czarnitzki and Licht (2006); Görg and Strobl (2007); Aerts and Schmidt (2008); Hussinger (2008).”
- Innovation and government intervention: A comparison of Singapore and Hong Kong (2018, background): “The most studied instrument is direct R&D subsidy and tax credit (Aerts et al., 2004; Almus and Czarnitzki, 2003; David et al., 2000; Hall and van Reenen, 2000; Martin and Scott, 2000) as it is easily quantifiable and is expected to have the most straightforward contribution to the output.”
- Additionality or crowding-out? An overall evaluation of public R&D subsidy on private R&D expenditure (2016, background): “Too little or too much R&D? European Economic Review, 49(2), 437-456.”
- R&D and Subsidies at the Firm Level: An Application of Parametric and Semi-Parametric Two-Step Selection Models (2008, background): “Czarnitzki (2001), Almus and Czarnitzki (2003), and Czarnitzki and Hussinger (2004) evaluate the effects of public R&D funding on R&D intensity and patent outcome for Germany; Duguet (2004) for France (with focus on growth of the firms’ R&D to sales ratio); Aerts and Czarnitzki (2004) for Flanders (”
- The effects of public support schemes on small and medium enterprises (2015, methodology): “…has been used extensively in estimation of the effects of R&D subsidies and was employed in studies by Almus and Czarnitzki (2003), Duguet (2004), Aerts and Czarnitzki (2006, 2004), Reinkowski et al. (2010), Herrera et al. (2010), Czarnitzki et al. (2011), Czarnitzki and Lopes-Bento (2013), and…”
- Two for the price of one? On additionality effects of R&D subsidies: A comparison between Flanders and Germany (2006, methodology): “Aerts and Czarnitzki (2004) address the additionality issue with the nearest neighbor matching technique on a cross-section of Flemish manufacturing and selected services companies, and find evidence that crowding-out can be rejected.”
- Do subsidies have positive impacts on R&D and innovation activities at the firm level? (2009, methodology): “Following Aerts & Czarnitzki (2004) we take this into account by including cash-flow divided by the number of employees in 2000 as a predictor variable.”
- R&D support programs in developing countries: The Turkish experience (2008, background): “In this respect, our findings are similar to those of Almus and Czarnitzki (2003) for East Germany, Aerts and Czarnitzki (2004) for Belgium, and Czarnitzki and Hussinger (2004) for Germany.”