节点文献
基于智慧专业化理论的粤港澳大湾区创新发展战略研究
On Innovation and Development Strategy of Guangdong-Hong Kong-Macao Greater Bay Area Based on the Smart Specialization Theory
【摘要】 建设粤港澳大湾区作为国家重要的战略举措,是我国落实国家创新驱动发展战略、加快建设世界科技强国的必然要求。但与世界级的大湾区相比,粤港澳大湾区在不同城市的协同发展以及整体的创新能力方面依然有待提升。智慧专业化理论作为近年来新涌现的区域创新理论,在欧盟各国的创新实践中发挥了重要的指挥棒作用。在将粤港澳大湾区打造成世界创新高地的进程中,可遵循智慧专业化的战略逻辑,有效实现大湾区各城市群在创新中的协同发展,避免创新活动中因重复投入而造成的资源浪费,并摆脱产业的同质化发展陷阱,从而更高效和科学地利用政府在研究开发、创新方面的公共资源。将创新资源更多地投入到提升大湾区的知识资源,形成大湾区各个城市的独特专业化能力,提升大湾区整体的创新发展能力。
【Abstract】 As an important national strategy, the development of Guangdong-Hong Kong-Macao Greater Bay Area is necessary for implementing the national strategy of innovation-driven development and building China into a technological power. However, compared with the world-class big bay areas, Guangdong-Hong Kong-Macao Greater Bay Area needs to be upgraded in terms of the coordinated development of the cities and the overall innovation capability of the region. As a new regional innovation theory in recent years, the smart specialization strategy has played an important baton role in the innovation practice of EU countries. In the process of making Guangdong-Hong Kong-Macao Greater Bay Area an international innovation center, we can follow the strategic logic of smart specialization to effectively realize coordinated development of all urban agglomerations in the Greater Bay Area in innovation, avoid resource waste caused by repeated investment in innovation activities, and get rid of industrial homogenization development traps so as to make more efficient and scientific use of the government’s public resources in research, development and innovation. More innovation resources will be invested in improving the knowledge resources of the Greater Bay Area, to make all the cities in the Greater Bay Area form their own specialization capacity and enhance the overall innovation and development capacity of the Greater Bay Area.
【Key words】 smart specialization; Guangdong-Hong Kong-Macao Greater Bay Area; regional innovation; coordinated development; urban agglomeration;
- 【文献出处】 深圳大学学报(人文社会科学版) ,Journal of Shenzhen University(Humanities & Social Sciences) , 编辑部邮箱 ,2018年05期
- 【分类号】F127
- 【被引频次】10
- 【下载频次】713