The Impact of University Enterprise Incentive Program on the Performance and Technological Efforts of Brazilian Industrial Firms
This study is an unprecedented effort in Brazil to evaluate the effectiveness of public incentive programs to develop technological capacity of firms. There are currently no empirical evaluations that have explored the impacts of this type of program on the performance of the Brazilian industrial firms in greater depth, particularly for those beneficiaries of these programs. This study therefore evaluates the FNDCT’s impact, particularly its cooperative modality, which comprises a joint university-enterprise project for technological innovation. The results indicate that the FNDCT has positive impacts on private R&D expenditures of beneficiary firms. This rejects the hypothesis of crowding out and strengthens the hypothesis of the existence of crowding in between public and private funds. The results on the economic performance of beneficiary firms are, however, inconclusive.
|Date of creation:||Dec 2006|
|Contact details of provider:|| Postal: 1300 New York Avenue, NW, Washington, DC 20577|
Web page: http://www.iadb.org/ove
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- James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," Review of Economic Studies, Oxford University Press, vol. 64(4), pages 605-654.
- Richard Blundell & Monica Costa Dias, 2000. "Evaluation methods for non-experimental data," Fiscal Studies, Institute for Fiscal Studies, vol. 21(4), pages 427-468, January.
- Katrin Hussinger, 2008.
"R&D and subsidies at the firm level: an application of parametric and semiparametric two-step selection models,"
Journal of Applied Econometrics,
John Wiley & Sons, Ltd., vol. 23(6), pages 729-747.
- Hussinger, Katrin, 2003. "R&D and Subsidies at the Firm Level: An Application of Parametric and Semi-Parametric Two-Step Selection Models," ZEW Discussion Papers 03-63, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
- Katrin Hussinger, 2004. "R&D and Subsidies at the Firm Level: An Application of Parametric and Semi-Parametric Two-Step Selection Models," Public Economics 0403005, EconWPA.
- González, Xulia & Pazó, Consuelo, 2008. "Do public subsidies stimulate private R&D spending?," Research Policy, Elsevier, vol. 37(3), pages 371-389, April.
- Xulia González & Consuelo Pazó, 2005. "Do public subsidies stimulate private R&D spending?," Working Papers 0601, Universidade de Vigo, Departamento de Economía Aplicada.
- Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
- Heckman, James J, 1979. "Sample Selection Bias as a Specification Error," Econometrica, Econometric Society, vol. 47(1), pages 153-161, January.
- Ron Jarmin, 1998. "Manufacturing Extension And Productivity Dynamics," Working Papers 98-8, Center for Economic Studies, U.S. Census Bureau.
- Alberto Abadie & David Drukker & Jane Leber Herr & Guido W. Imbens, 2004. "Implementing matching estimators for average treatment effects in Stata," Stata Journal, StataCorp LP, vol. 4(3), pages 290-311, September.
- Isabel Busom, 2000. "An Empirical Evaluation of The Effects of R&D Subsidies," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 9(2), pages 111-148.
- Meyer, Bruce D, 1995. "Natural and Quasi-experiments in Economics," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(2), pages 151-161, April.