Publications

In addition to the services for the Flemish government, the researchers of ECOOM also contribute to academic research in various research domains.

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Czarnitzki, D., Licht, G. (2021)

Harnessing Public Research for Innovation in the 21st Century: An International Assessment of Knowledge Transfer Policies (Intellectual Property, Innovation and Economic Development, pp. 182-225).

In: A. Arundel, S. Athreye, and S. Wunsch-Vincent (Eds.). Cambridge University Press

 

2021 - Innovation - KU Leuven

Czarnitzki, D., M. Giebel (2021)

Financial Constraints for R&D and Innovation: New Evidence from a Survey Experiment. (Leuven, Copenhagen)

2021 - Innovation - KU Leuven

Czarnitzki, D., Van Criekingen, K.,(2021)

Information Leakage, Imitation, and the Patent System. Discussion paper. ZEW.

2021 - Innovation - KU Leuven

Debacker, N. (2021)

International researchers at Flemish universities (Belgium)

In: ECOOM Briefs, N° 35, May 2021

2021 - Doctoral careers - UGent

Debacker, N. (2021)

Internationale onderzoekers aan de Vlaamse universiteiten

In: ECOOM Briefs, N° 35, Mei 2021

2021 - Doctoral careers - UGent

Debacker, N. (2021)

On the academic postdoctoral track in Flanders (Belgium) after obtaining a doctorate

In: ECOOM Briefs, N° 39, December2021

2021 - Doctoral careers - UGent

Debacker, N. (2021)

Over het academische postdoctorale traject in Vlaanderen na er het doctoraat behaald te hebben

In: ECOOM Briefs, N° 39, December 2021

2021 - Doctoral careers - UGent

Dotti, N.F., Spithoven, A. & Ysebaert, W. (2021) 

The Benefits of being a multi-capital: the economic impact of the international and European Institutions and interest groups’, in: European Urban and Regional Studies, 1-23

2021 - VUB

Dotti, N.F., Spithoven, A., Wautelet, A. & Ysebaert, W. (2021)

'The ‘certain’ returns from expenditures for ‘uncertain’ activities: a local multiplier approach to evaluate regional R&I policy', European Planning Studies, 29(2), 389-409

Eykens, J., Guns, R., & Engels, T. C. E. (2020)

 Fine-grained classification of social science journal articles using textual data: A comparison of supervised machine learning approaches

In: Quantitative Science Studies, 1–26
https://doi.org/10.1162/qss_a_00106

2021 - Bibliometrics - UAntwerpen