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This paper investigates the economic development within the Guangdong-Hong Kong-Macao Greater Bay Area from two perspectives--spatial pattern and influencing factors--to promote coordinated development across the area. This paper employs Moran's I test and local Getis-Ord G statistic from spatial statistics. Furthermore, it constructs a hierarchical spatial econometric model to facilitate empirical investigation. It is found that the overall economic development of the Guangdong-Hong Kong-Macao Greater Bay Area exhibits a "mountain-shaped" spatial pattern of the high-level homogeneous regions with "high-high correlation" and the low-level homogeneous regions with "low-low correlation." The internal difference in economic density is moderate, with an obvious trend of decrease year by year. Economic density shows a significant spatial positive correlation, with the expansion of the scope of areas exhibiting "high-high correlation." The differences in economic density between hotspots and sub-hotspots have decreased, but the economic density of cold spots has failed to keep up with the development of other regions. The difference in factor input density among the influencing factors explains most of the differences in economic density among different regions. The results from the R&D capital investment coefficient indicate that in recent years, the effect of investments in urban scientific and technological innovation factors has been more extensive and uniform among the regions under its jurisdiction, but the spatial spillover effect of innovation factors at both layers is not significantly positive. Apart from the city's location within the Greater Bay Area, the relative location of the jurisdictions within the city equally influences the economic development configuration of the Greater Bay Area. Although economic density in regions adjacent to cities outside the Greater Bay Area is notably lower than in other regions, their growth rate and production efficiency remain on par with other regions. T-test and model results underscore the rapid development of the areas encircling the bay. The coefficient of location dummy variables in areas adjacent to cities in the Greater Bay Area varies among cities. At a particular factor input density, some cities have higher output efficiency in areas contiguous to cities in the Greater Bay Area. This study uniquely adopts low-level city jurisdictions and high-level cities to shape a two-tiered hierarchical dataset with nested geographic units. This innovative approach fully leverages insights from distinct layers, delving into spatial interdependence and interplay across layers. This paper aims to explore the spatial pattern and influencing factors steering economic development in the Guangdong-Hong Kong-Macao Greater Bay Area. In doing so, it aims to identify problems and present pertinent policy recommendations. [ABSTRACT FROM AUTHOR]

In the face of an increasingly complex and unstable external development environment, enhancing economic resilience has become a key task in the construction of the Guangdong-Hong Kong-Macao Greater Bay Area. This paper analyzes the changes in the economic resilience of the Guangdong-Hong Kong- Macao Greater Bay Area and its constituent cities after the 2008 global financial crisis by virtue of the regional economic resilience assessment method proposed by Martin et al. It constructs an economic connection network for the Guangdong-Hong Kong- Macao Greater Bay Area using the data from corporate headquarters and branches of A-share listed companies to analyze its impact on the economic resilience of the Area. The study reveals the three following conclusions. Firstly, the economic resilience of the Guangdong-Hong Kong-Macao Greater Bay Area generally outperforms the national average level, seeing a rapid boost over the recent years and exceeding the level witnessed during the 2008 financial crisis. However, there are marked disparities in the economic resilience of various cities within the Greater Bay Area, with Shenzhen, Guangzhou, and Dongguan emerging as the most robust in this regard. Secondly, the economic connection network has a positive impact on the economic resilience of the cities in the Guangdong-Hong Kong-Macao Greater Bay Area. Specifically, there is a positive correlation between a city's economic resilience and its centrality in the economic connection network. Such centrality exerts a positive spillover effect on the economic resilience of surrounding cities. Thirdly, from the perspective of industry-specific networks, circulation and service industry networks are more conducive to improving the economic resilience of a city. Given the significant role of the economic connection network in shaping regional and urban economic resilience, it is imperative for the Guangdong-Hong Kong-Macao Greater Bay Area to prioritize ensuring economic development security and enhancing economic resilience, promote the development of the economic connection network, and enhance the network centrality of its constituent cities. This can improve the economic resilience of itself and its constituent cities in an effective manner. [ABSTRACT FROM AUTHOR]

Sci-tech innovation is an important measure for the Guangdong– Hong Kong–Macao Greater Bay Area to achieve high-quality economic development. theoretically, there is a coupling coordination relationship between sci-tech innovation and high-quality economic development, and coordinating the relationship between the two is beneficial to building the Guangdong– Hong Kong–Macao Greater Bay Area into an international innovation and technology hub and promoting high-quality economic development. At present, the Guangdong–Hong Kong–Macao Greater Bay Area has seen a year-on-year increase in both the level of sci-tech innovation and the level of high-quality economic development, with a sound development trend. Its coupling coordination degree between sci-tech innovation and high-quality economic development has steadily improved from a slightly uncoordinated stage to a primarily coordinated stage, but the overall degree of coordination is still not high, with some gaps from realizing the excellently coordinated stage. From the perspective of spatial distribution, the internal development of the Guangdong-Hong Kong–Macao Greater Bay Area is unbalanced, with obvious differences in development level and coupling coordination degree among cities. e convergence analysis shows that the differences in the coupling coordination degree among the cities in the Guangdong Hong Kong–Macao Greater Bay Area have stabilized after narrowing during the study period. However, the difference among the cities with higher coupling coordination degrees tends to widen in recent years. therefore, necessary measures should be taken to promote the coordination between sci-tech innovation and high-quality economic development in the Guangdong–Hong Kong–Macao Greater Bay Area. [ABSTRACT FROM AUTHOR]