粤港澳大湾区创新活度的空间结构演化效应及影响因素研究

基于粤港澳大湾区城市间专利授权数据，首次使用熵权法和层次分析法对专利授权量进行组合赋权，构建创新活度综合评价指标，利用网络分析法对粤港澳大湾区创新网络空间结构演化及影响因素进行分析。结果表明：在创新活度指标中，发明专利、实用新型专利和外观设计专利的重要程度依次递减；粤港澳大湾区创新联系的紧密程度明显提升，创新网络朝均衡化多中心联动态势发展；广州、深圳、佛山占据核心位置，随着创新联系增强，东莞和中山加入核心区，形成新的创新增长极，充分发挥网络辐射与扩散效应；地理距离、高铁设施、创新要素集聚与扩散、科研投入、产品消费对创新网络演化和发展均有显著影响。

The Spatial Structure Evolution Effect and Influencing Factors of Innovation-Vigor：Evidence from Guangdong-Hong Kong-Macao Greater Bay Area

Based on the patent licensing data of Guangdong-Hong Kong-Macao Greater Bay Area, this paper first attempted to use entropy weight method and analytic hierarchy process (AHP) to combine and empower the amount of patent licensing, build a comprehensive evaluation index of innovation-vigor, and use network analysis method to analyze the spatial structure evolution and influencing factors of innovation network in Guangdong-Hong Kong-Macao Greater Bay Area.The results showed that the importance of invention patent, utility model patent and design patent in innovation-vigor index decreased in turn; the close degree of innovation connection in Guangdong-Hong Kong-Macao Greater Bay Area was obviously strengthened, and the innovation network was developing towards the balanced multi center linkage trend; Guangzhou, Shenzhen and Foshan occupied the core position, and Dongguan and Zhongshan also joined in the core with the enhancement of innovation connection.The geographical distance, high-speed rail facilities, the concentration and diffusion of innovation factors, scientific research investment and product consumption all had significant influence on the evolution and development of innovation network.