Innovation, Spillovers and Productivity Growth: A Dynamic Panel Data Approach
(English)Manuscript (preprint) (Other academic)
This paper examines variation in productivity growth within a given lo-cation and between dierent locations. Implementing a dynamic paneldata approach on Swedish micro data, we test the separate and comple-mentary eect of internal innovation eorts and spillovers from the localmilieu. Measuring the potential knowledge spillover by access to knowl-edge intensive services, the estimation results produce strong evidence ofdierences in the capacity to benet from external knowledge among per-sistent innovators, temporary innovators and non-innovators. The resultsare consistent regardless of whether innovation eorts are measured interms of the frequency of patent applications or R&D investments.
Social Sciences Business Administration
IdentifiersURN: urn:nbn:se:kth:diva-160874OAI: oai:DiVA.org:kth-160874DiVA: diva2:791658
QS 20152015-03-022015-03-022015-03-02Bibliographically approved