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International R&D spillovers and technological performance in the French economy : an empirical study using random coefficient models

[journal article]

Negassi, Syoum Michael

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Please use the following Persistent Identifier (PID) to cite this document:http://nbn-resolving.de/urn:nbn:de:0168-ssoar-243135

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Abstract The existence of R&D spillovers or externalities i.e. the effects of firms’ research activities on other firms activities was theoretically established by Arrow 1962, but few empirical studies have addressed their effects on firms’ economic performance (i.e., value-added) and technological performance (innovation output). In an open economy, firms’ economic and technological performances depend on the position of these firms in their national and international technological environments. The main focus of this paper is identifying the different channels through which spillover occurs, specially the international technology spillovers (i.e., R&D activities of foreign firms; foreign technology payments; international intermediate inputs; and international R&D cooperation) and the mobility of engineers and scientists between firms. Our statistical and econometric analysis determines that spillovers drive the production of individual firms together and link it to the incidence of innovations. Thus, using a pooling method based on segmentation of bunched (or grouped) individuals rather than those of usual individuals panel models and proposing an efficient new full information method (3SLS) , this empirical study shows that international spillovers are rather large compared to national spillovers. They account for a substantial fraction of the variation in firm production and innovation output in the French economy.
Keywords external effects; productivity; development; research and development; France; technology
Classification National Economy; Economic Statistics, Econometrics, Business Informatics
Free Keywords national spillovers; international spillovers; externalities; economic performance; productivity growth; innovation output; random coefficient method
Publication Year 2009
Page/Pages p. 947-976
Journal Applied Economics, 41 (2009) 8
DOI http://dx.doi.org/10.1080/00036840601019034
Status Postprint; reviewed
Licence PEER Licence Agreement (applicable only to documents from PEER project)
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