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R&D Factor Flow and High-Tech Industries' Innovation Ability |
Wan Qunchao, Yuan Ling, Wang Bolin |
Business School,Hunan University,Changsha 410082,China |
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Abstract Based on the panel data of provincial high-tech industry from 2004 to 2016,this paper investigates the influence of R&D factor flow on high-tech industries' innovation capacity by using spatial econometric model,mediation model and panel quantile regression.The results are as follows.①China's high-tech industry innovation ability shows an overall upward trend,significant spatial spillover effect,spatial agglomeration effect and path dependence.②R&D personnel flow and R&D capital flow have significant“crowding in effect”on the high-tech industries' innovation ability.Economic policy uncertainty and trade policy uncertainty has a significant positive regulatory effect on the relationship between R&D personnel flow and innovation ability.③R&D personnel flow and R&D capital flow promote the high-tech industries' innovation ability through the improvement of resource efficiency.Taking the cross factors of R&D factor flow and economic policy uncertainty as threshold variables,the effect intensity of R&D personnel flow and R&D capital flow on high-tech industries' innovation ability shows inverted U-shaped relation.
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Received: 23 March 2020
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