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| A Study on the Measurement of Regional Knowledge Complexity and its Impact on Innovation in China |
| Cui Zhaocai,Zhou Xianghong,Wang Li |
| (School of Economics and Management,Tongji University,Shanghai 200092,China) |
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Abstract In the report of the 19th National Congress,it was clearly stated that "innovation is the first driving force for development and the strategic support for building a modern economic system".As the core driving force of innovation,the importance of knowledge has attracted more and more scholars' attention.Based on Hidalgo's H-H reflection method and data from 15 988 864 patents，this paper constructs a measurement model of regional knowledge complexity in China,and finds out its impact on regional innovation.We found that:①although the ability of mastering scarce technology in theeastern region is higher than that in the central and western regions,the lag situation in the central and western regions is improving,and they are gradually entering new technological fields; ②knowledge complexity has a greater impact on innovation-efficient regions (the Eastern region),but the inefficient regions (the central and western regions) have a higher marginal gain of scarce knowledge.The policy implication of the above findings is that regions should aim at gathering diversified and high-quality knowledge rather than merely seeking competitive advantage in a single field.
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Received: 12 August 2019
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