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Innovation, Spillovers and Productivity Growth: A Dynamic Panel Data Approach

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  • Christopher Baum
  • Hans Lööf,
  • Pardis Nabavi

Abstract

This paper examines variation in productivity growth within a given location and between different locations. Implementing a dynamic panel data approach on Swedish micro data, we test the separate and complementary effect of internal innovation efforts and spillovers from the local milieu. Measuring the potential knowledge spillover by access to knowledgeintensive services, the estimation results produce strong evidence of differences in the capacity to benefit from external knowledge among persistent innovators, temporary innovators and non-innovators. The results are consistent regardless of whether innovation efforts are measured in terms of the frequency of patent applications or R&D investments see above see above

Suggested Citation

  • Christopher Baum & Hans Lööf, & Pardis Nabavi, 2015. "Innovation, Spillovers and Productivity Growth: A Dynamic Panel Data Approach," EcoMod2015 8970, EcoMod.
    • Handle: RePEc:ekd:008007:8970
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