DocumentCode :
115220
Title :
R&D and patent data for empirical analysis for evidence based science, technology and innovation policy
Author :
Motohashi, Kazuyuki
Author_Institution :
Dept. of Technol. Manage. for Innovation, Univ. of Tokyo, Tokyo, Japan
fYear :
2014
fDate :
27-31 July 2014
Firstpage :
1301
Lastpage :
1312
Abstract :
In this paper, the contribution of empirical economic analysis to evidence based science, technology and innovation policy planning is discussed based on two case studies, (1) financial supports to firm\´s R&D by subsidies or tax measures and (2) innovation system reform policy such as university and industry collaboration promotion. It is important to make a good balance of "theoretical rigidness", "practicality by addressing important issues" and "quality of dataset" for empirical policy analysis. In addition, the results from empirical analysis should be interpreted with substantial reservations in terms of the limitations of economic theory and datasets.
Keywords :
educational institutions; industrial economics; innovation management; organisational aspects; patents; planning; research initiatives; taxation; technology management; R&D; economic theory; empirical economic analysis; empirical policy analysis; evidence based science; financial supports; innovation policy planning; innovation system reform policy; patent data; subsidies; tax measures; technology policy planning; theoretical rigidness practicality; university-industry collaboration promotion; Collaboration; Economics; Educational institutions; Industries; Iron; Patents; Technological innovation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management of Engineering & Technology (PICMET), 2014 Portland International Conference on
Conference_Location :
Kanazawa
Type :
conf
Filename :
6921078
Link To Document :
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