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The empirical analysis of knowledge spillover effect measurement

Author

Listed:
  • Xiaodi Xu
  • Zilong Wang
  • Bingyang Zhou
  • Zhiwen Zhang

Abstract

We analyzed the differences in knowledge spillover effect between industries by constructing an econometric model. In the model, we measured the relation degree and validity between influencing factors and their influence on knowledge spillover. The result indicates that there is a convergent pattern in the steady state of enterprise knowledge spillover and imitation structure, which formed the screw type advancement of innovation and imitation. Knowledge spillover is influenced by such factors as R&D, trade and traffic condition, labor force mobility, enterprise knowledge absorbency, market mechanism flexibility, time lag of knowledge spillover, and changes of factory site besides trade cost and space-time span. Enterprise knowledge absorbency is proportionate to knowledge spillover. When enterprise knowledge storage quantity disparity is equal to enterprise knowledge absorbency, the knowledge spillover effect is greatest. The time lag of knowledge spillover and the knowledge degeneration rate display inverse ratio with knowledge spillover effect.

Suggested Citation

  • Xiaodi Xu & Zilong Wang & Bingyang Zhou & Zhiwen Zhang, 2019. "The empirical analysis of knowledge spillover effect measurement," Knowledge Management Research & Practice, Taylor & Francis Journals, vol. 17(1), pages 83-95, January.
    • Handle: RePEc:taf:tkmrxx:v:17:y:2019:i:1:p:83-95
    DOI: 10.1080/14778238.2018.1557998
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