利用粤港澳大湾区2001—2018年间的科技创新数据,通过建立复合系统协同度模型来测度科技创新协同度,并在此基础上研究粤港澳大湾区科技创新协同机制。研究发现：第一,粤港澳大湾区城市间、区域间、部门间的科技创新协同度较低但发展趋势呈上升态势,各子系统有序度的差异性是导致协同度较低的重要因素；第二,在新经济地理的3D框架下,经济密度、交通便利、通信设施、市场化、对外开放和政府干预等的发展都对科技创新协同度产生积极影响,但人口密度的增加没有提高其协同度,这些经济地理要素构成协同机制系统,同时呈现空间个体异质性；第三,在拓展分析中,社会网络分析方法表明,粤港澳大湾区个体间具有自主技术创新临近特征。在当前国内外复杂的环境下,系统又全面地研究湾区科技创新协同发展具有重要的现实意义,结论将给粤港澳探索推进协同创新为科技湾区建设加添动力提供参考。

This paper uses the data of Guangdong-Hong Kong-Macau Greater Bay Area from 2001 to 2018 to measure the synergy degree of science and technology innovation by establishing a composite system synergy degree model. On the basis of this, the cooperative mechanism of technology innovation in Guangdong-Hong Kong-Macau Greater Bay Area is studied. The findings are as follows: firstly, the degree of synergy among cities, regions and departments of Guangdong-Hong Kong-Macau Greater Bay Area is low, but the trend of development is rising; secondly, under the 3D framework of New Economic Geography, economic density, transportation convenience, communication facilities, marketization, opening to the outside world and government intervention all have a positive influence on the degree of synergy of scientific and technological innovation, but the increase of population density does not increase its synergy; thirdly, in the expansion analysis, the social network analysis method shows that the Guangdong-Hong Kong-Macau Greater Bay Area individuals have the characteristics of independent technological innovation approaching. Under the current complex environment, it is of great practical significance to study the coordinated development of scientific and technological innovation. The conclusion of this paper will provide a reference for Guangdong-Hong Kong-Macau Greater Bay Area to promote the coordinated development of scientific and technological innovation.

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广东省科技计划项目“广东省技术转移的路径和协同运行机制研究”(2018A070712033)；广东省人文社科重点研究基地项目“新时代粤港澳大湾区协调发展的驱动力和理论分析研究”(2018YGA006)；广东外语外贸大学研究生科研创新项目“珠三角地区消费降级的同群效应研究”(19GWCXXM－46)