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| Innovation Policy Tool Portfolio,Innovation Capability and Innovation Performance |
| Zhang Yongan,Guan Yongjuan |
| （School of Economics and Management, Beijing University of Technology, Beijing 100124, China） |
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Abstract Based on the panel data of 30 provinces and cities in China from 2008 to 2018, this paper uses the panel fixed effect model to analyze the impact of innovation policy tools and their interaction items on innovation capacity and innovation performance. The research shows that: ①both supply and environmental innovation policies are conducive to promoting technological innovation capability and quantity of innovation; demand-based innovation policies have no significant impact on innovation capability and innovation performance; ②demand-based, environment-based and supply-based The two-to-one interaction items of innovation policies significantly improve the basic innovation capability and technological innovation capability, and significantly increase the number of innovations, but have a significant negative impact on the quality of innovation; ③The combined functions are synergistic and complementary, and the combined functions of supply and environmental innovation policies are competitive; ④Basic innovation capabilities play a full intermediary role in the impact of innovation policy tools on innovation quality, and technological innovation capabilities play an important role in innovation policy tools. The effect of quantity plays a full intermediary role.
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Received: 19 July 2020
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