Abstract
As a major area for the docking and integration of China's 21st Century Maritime Silk Road, the innovation-driven development of the Bay Area city cluster can provide support for the continuous enhancement of China's economic innovation and competitiveness. Population vitality is the prerequisite and foundation of the country's innovative development, but China is facing a very serious aging situation. The process of population aging in the Guangdong-Hong Kong-Macao Greater Bay Area has also become an important factor limiting its rapid development. This study intends to analyze the aging population data and urban innovation and other related indices of the Greater Bay Area urban agglomerations through OLS, entropy method and Moran index, and use ArcGIS to visualize the trends, laws and characteristics of urban development, so as to provide scientific and reasonable data reference and support for the upper-level decision of urban planning.
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