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|
|Date of revision:|
|Contact details of provider:|| Postal: |
Web page: http://www.iadb.org/ove
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
- Bruce D. Meyer, 1994.
"Natural and Quasi- Experiments in Economics,"
NBER Technical Working Papers
0170, National Bureau of Economic Research, Inc.
- 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.
- González, Xulia & Pazó, Consuelo, 2008.
"Do public subsidies stimulate private R&D spending?,"
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.
- 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.
- Heckman, James, 2013.
"Sample selection bias as a specification error,"
Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
- 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.
- Heckman, James J & Ichimura, Hidehiko & Todd, Petra E, 1997. "Matching as an Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," Review of Economic Studies, Wiley Blackwell, vol. 64(4), pages 605-54, October.
When requesting a correction, please mention this item's handle: RePEc:idb:ovewps:1306. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Monica Bazan)
If references are entirely missing, you can add them using this form.