Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/202165 
Erscheinungsjahr: 
2016
Schriftenreihe/Nr.: 
IPTS Working Papers on Corporate R&D and Innovation No. 03/2016
Verlag: 
European Commission, Joint Research Centre (JRC), Seville
Zusammenfassung: 
Understanding causal relationships among key economic variables is crucial for policy makers, who wish to e.g. stimulate private R&D growth. To this end, we applied a technique recently imported from the Machine Learning community (Structural Vector Autoregressions (SVARs) identified using Independent Components Analysis (ICA)) to a set of the world’s largest R&D investors. Our analysis highlights the key role of sales growth, rather than profits growth, in stimulating R&D growth. R&D growth appears at the end of the causal ordering of the growth process. Our results suggest that policies to increase private R&D would do better to target sales rather than profits.
Schlagwörter: 
R&D investment
firm growth
SVAR
sales growth
industrial dynamics
JEL: 
L25
O30
Dokumentart: 
Working Paper

Datei(en):
Datei
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