MTEI Seminar by Prof. Dirk Czarnitzki, KU Leuven
Event details
| Date | 09.09.2013 |
| Hour | 15:00 › 16:30 |
| Speaker | Prof. Dirk Czarnitzki, KU Leuven |
| Location | |
| Category | Conferences - Seminars |
"Counterfactual impact evaluation of cohesion policy at the firm level”
Authors: Czarnitzki, D., T. Doherr and C. Lopes-Bento
Abstract
The European Cohesion Policy is designed to reduce gaps between development levels of EU regions. Consequently most scholarly research on impacts of Cohesion Policy so far focused on catching-up processes of EU regions. Newly available data, however, allow studying policy effects directly at the recipient level rather than at the macro (regional) level. The data allows differentiating between subsidies given to not-for-profit institutions vs. firms, and, evenly important, also enables researchers to distinguish among different types of support, such as R&D/innovation, training programs, investment into tangible assets, start-up support, social and cultural initiatives and so forth.
We link this recipient data to a firm level database and test whether positive treatment effects of the policies can be identified at the microeconomic level, which can be considered as a necessary precondition for catching-up at any higher level of aggregation. Using econometric treatment effect estimators, we find that R&D and innovation support as well as subsidies for investment into physical assets indeed have positive effects at the firm level. However, for the most common type of grants, which is support for education and training, we do not find any significant effects.
Authors: Czarnitzki, D., T. Doherr and C. Lopes-Bento
Abstract
The European Cohesion Policy is designed to reduce gaps between development levels of EU regions. Consequently most scholarly research on impacts of Cohesion Policy so far focused on catching-up processes of EU regions. Newly available data, however, allow studying policy effects directly at the recipient level rather than at the macro (regional) level. The data allows differentiating between subsidies given to not-for-profit institutions vs. firms, and, evenly important, also enables researchers to distinguish among different types of support, such as R&D/innovation, training programs, investment into tangible assets, start-up support, social and cultural initiatives and so forth.
We link this recipient data to a firm level database and test whether positive treatment effects of the policies can be identified at the microeconomic level, which can be considered as a necessary precondition for catching-up at any higher level of aggregation. Using econometric treatment effect estimators, we find that R&D and innovation support as well as subsidies for investment into physical assets indeed have positive effects at the firm level. However, for the most common type of grants, which is support for education and training, we do not find any significant effects.
Practical information
- General public
- Free
Organizer
- Management of Technology & Entrepreneurship Institute