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| Space-time Transition and Convergence Trend Research on Internal Coupling Coordination of Innovation Ecosystem in the Guangdong-Hong Kong-Macao Greater Bay Area |
| Zhang Yuchen,Zhu Mingqi,Liao Kaicheng |
| (School of Economics and Management, Tongji University, Shanghai 200092, China) |
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Abstract In order to construct the new development dynamic where domestic flows are the foundation of the double development dynamic and a discernible strength of major economies, constructing an efficient and coordinated regional innovation system will help to build the Guangdong-Hong Kong-Macao Greater Bay Area into a scientific and technological innovation center with global influence. After constructing a comprehensive index evaluation system of innovation ecosystem, using a coupling coordination model and a spatial measurement model, this paper tested the internal coupling coordination level of the innovation ecosystem in 10 cities in the Greater Bay Area from 2007 to 2019, as well as its space-time transition characteristics and convergence trend. The study found that the degree of internal coupling coordination in the Greater Bay Area as a whole and in each city has shown a rising trend, basically realizing the transition from imbalance recession period to harmonious transition period, and the degree of internal coupling coordination presents four levels. There is a significant absolute and conditional β convergence trend in the coupling coordination degree of the innovation ecosystem in the Greater Bay Area, which means that it will eventually converge to the same steady-state level, and the gap between cities will gradually narrow. Among them, the level of economic development, foreign exchanges and human capital play a significant positive role in the coupling and coordination of the innovation ecosystem.
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Received: 19 July 2021
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