Fraunhofer-Gesellschaft

Publica

Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.

Economic relevance and the future potential of non-R&D-intensive industries

 
: Wydra, Sven; Nusser, Michael

:

Som, Oliver (Ed.); Kirner, Eva (Ed.):
Low-tech innovation : Competitiveness of the German manufacturing sector
Cham: Springer International Publishing, 2015
ISBN: 978-3-319-09972-9 (Print)
ISBN: 978-3-319-09973-6 (Online)
ISBN: 3-319-09973-6
DOI: 10.1007/978-3-319-09973-6
S.33-49
Englisch
Aufsatz in Buch
Fraunhofer ISI ()

Abstract
This book chapter focuses on non-R&D-intensive industry sectors and analyses their economic importance for Germany. Therefore we compare non-R&D-intensive industry sectors with R&D-intensive-industry-sectors and service sectors regarding R&D activities, domestic value added and import intensity, production, employment and skills. In order to not only include direct effects for these indicators we also analyze indirect effects via input-output (I/O) analysis by simulating the potential effect additional 1 billion euros demand impulse in the various sectors. On the one hand, our results show that the dynamics of non-R&D-intensive industries is less than that of the R&D-intensive industrial sectors. Moreover, R&D-intensive industries are found to contribute more to the employment of highly skilled professionals. On the other hand, our potential analyses show that non-R&D-intensive industries are of significant economic importance to Germany. This importance is evident based on a number of macroeconomic indicators: non-R&D-intensive industries are associated with strong indirect employment effects that also include qualified personnel. Overall, the analysis shows that the consideration of indirect macroeconomic effects is important to con-ducting an appropriate analysis of the role of non-R&D-intensive industries. Non-R&D-intensive companies have profound effects on upstream economic sectors through their spending on intermediate inputs (including business-related services and engineering). Policymakers should consider those linkages in determining an adequate selection of measures.

: http://publica.fraunhofer.de/dokumente/N-341449.html