Linking Government R&D Subsidies and Innovation Performance: A Chain-mediating Role of R&D Investment and Technological Collaboration

Xingxiu Wang, Huiying Jiao

2022

Abstract

This paper aims to probe how government R&D subsidies relate to innovation performance. The authors examined R&D investment and technological collaboration as mediators of relationship between government R&D subsidies and innovation performance. The paper opted for a time-lagged research design to test hypotheses with data covering 483 high-tech listed firms’ data in China from 2007 to 2019. STATA and the PROCESS macro in SPSS are used in regression analysis. The results show that R&D subsidies are positively related to firms’ innovation performance. The relationship is mediated by R&D investment and technological collaboration. Furthermore, R&D investment is positively related to technological collaboration, there is a chain-mediating relationship among R&D subsidies, R&D investment, technological collaboration and innovation performance. This paper constructs a theoretical framework to specifies the process through which R&D subsidies affects firms’ innovation performance to expand understandings of R&D subsidies, which further provides practical value to administrative staffs and policymakers for formulating innovation strategies and R&D subsidies decisions more effectively.

Paper Citation

in Harvard Style

Wang X. and Jiao H. (2022). Linking Government R&D Subsidies and Innovation Performance: A Chain-mediating Role of R&D Investment and Technological Collaboration. In Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM, ISBN 978-989-758-593-7, pages 749-756. DOI: 10.5220/0011287600003440

in Bibtex Style

@conference{bdedm22,
author={Xingxiu Wang and Huiying Jiao},
title={Linking Government R&D Subsidies and Innovation Performance: A Chain-mediating Role of R&D Investment and Technological Collaboration},
booktitle={Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,},
year={2022},
pages={749-756},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011287600003440},
isbn={978-989-758-593-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,
TI - Linking Government R&D Subsidies and Innovation Performance: A Chain-mediating Role of R&D Investment and Technological Collaboration
SN - 978-989-758-593-7
AU - Wang X.
AU - Jiao H.
PY - 2022
SP - 749
EP - 756
DO - 10.5220/0011287600003440