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Spillover and Re-Spillover in China’s Collaborative Innovation

Spillover and Re-Spillover in China’s Collaborative Innovation The spillover effect serves as the basis of regional collaborative innovation. Existing research on innovation spillover focuses on the overall impact of a region's innovation factors on local and other regions' innovation activities. However, re-spillover may occur since the flow of innovation factors between any two regions may influence the innovation in third-party regions. This study quantifies labor flow, capital flow, and institutional learning between regions in China using a gravity model and a social network analysis model, and then applies a spatial econometric model to investigate innovation spillover and re-spillover. The results show that re-spillover can better explain levels of regional innovation. Capital, government support, labour flow, capital flow, and institutional learning have a positive spillover effect on local innovation, while labour flow also has positive spillover effects to other regions. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Regional Science Review SAGE

Spillover and Re-Spillover in China’s Collaborative Innovation

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References (140)

Publisher
SAGE
Copyright
© The Author(s) 2022
ISSN
0160-0176
eISSN
1552-6925
DOI
10.1177/01600176221092315
Publisher site
See Article on Publisher Site

Abstract

The spillover effect serves as the basis of regional collaborative innovation. Existing research on innovation spillover focuses on the overall impact of a region's innovation factors on local and other regions' innovation activities. However, re-spillover may occur since the flow of innovation factors between any two regions may influence the innovation in third-party regions. This study quantifies labor flow, capital flow, and institutional learning between regions in China using a gravity model and a social network analysis model, and then applies a spatial econometric model to investigate innovation spillover and re-spillover. The results show that re-spillover can better explain levels of regional innovation. Capital, government support, labour flow, capital flow, and institutional learning have a positive spillover effect on local innovation, while labour flow also has positive spillover effects to other regions.

Journal

International Regional Science Review – SAGE

Published: Jan 1, 2023

Keywords: spillover effect; re-spillover; Spatial Econometric Model; regional collaborative innovation; China

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