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11 September 2023 Simulation of the influence of Guangdong-Hong Kong-Macao Greater Bay Area financial agglomeration on the technological innovation efficiency of high-tech enterprises based on SDM model
Shaoguang Wang, Xi Feng, Lijun Fang
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Proceedings Volume 12779, Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023); 127791N (2023) https://doi.org/10.1117/12.2689427
Event: Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023), 2023, Kunming, China
Abstract
How to build a collaborative mechanism of scientific and technological innovation and development in Guangdong-Hong Kong-Macao Greater Bay Area (abbreviation: the Greater Bay Area (GBA)) is undoubtedly an important link in building a world-class scientific and technological innovation center. Based on the panel data of 11 cities in GBA from 2012 to 2020, this paper empirically tests the influence of GBA financial agglomeration on the technological innovation efficiency of high-tech enterprises by using SDM (Spatial Dubin Model) model, starting from the innovative effect of financial agglomeration and considering two weight matrices of geographical distance and economic distance. The research results show that the regression results of GBA's SDM model show that the autocorrelation coefficients under zero to one adjacency weight matrix and geo-economic distance weight matrix both exceed the significance levels of 1% and 10%, which shows that there is obvious correlation between the technical development efficiency of GBA's high-tech industries, but they are not independent of each other. The level of economic development in different regions and stages is quite different. The results show that, at the significant level of 1%, financial agglomeration has a greater role in promoting the efficiency of technological innovation.
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Shaoguang Wang, Xi Feng, and Lijun Fang "Simulation of the influence of Guangdong-Hong Kong-Macao Greater Bay Area financial agglomeration on the technological innovation efficiency of high-tech enterprises based on SDM model", Proc. SPIE 12779, Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023), 127791N (11 September 2023); https://doi.org/10.1117/12.2689427
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KEYWORDS
Industry
Matrices
Statistical analysis
Data modeling
Statistical modeling
Autocorrelation
Standards development
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