Wei Yujun, Wang Mengbin, Wei Xiaokun, Yuan Fan, Fan Jie, Ba Shusong
Development Strategy and Cooperation Center, Zhejiang Lab, Hangzhou, China.
Zhejiang Laboratory of Philosophy and Social Sciences -Laboratory of Intelligent Society and Governance, Zhejiang Lab, Hangzhou, China.
PLoS One. 2024 Aug 1;19(8):e0306301. doi: 10.1371/journal.pone.0306301. eCollection 2024.
The Guangdong-Hong Kong-Macao Greater Bay Area (GBA) represents a significant economic zone with a diverse financial landscape. Understanding the spatial distribution of financial resources within this area is crucial for promoting balanced economic growth and financial development. This study investigates the spatial patterns of financial agglomeration in the GBA, identifying key influencing factors and assessing their impact on the region's financial landscape. We employ the entropy value method to evaluate financial agglomeration levels across the GBA's cities. Additionally, we use spatial econometric techniques to analyze the spatial correlations and the Geo-Detector model to determine the primary factors influencing financial agglomeration. The analysis reveals an overall increase in financial agglomeration, with significant disparities among cities. Key factors driving this agglomeration include transportation infrastructure, overseas trade, foreign direct investment (FDI), and technological advancements. Hong Kong and Shenzhen display notable unevenness in the distribution of financial industries. The interplay between finance, technology, and industrial sectors suggests considerable development potential. Understanding and optimizing the spatial distribution of financial resources is essential for fostering high-quality financial development and sustainable economic growth in the GBA. This study provides insights that can inform policy decisions aimed at enhancing financial integration and cooperation within the region.
粤港澳大湾区是一个重要的经济区，金融格局多样。了解该地区金融资源的空间分布对于促进经济均衡增长和金融发展至关重要。本研究调查了大湾区金融集聚的空间格局，确定关键影响因素并评估其对该地区金融格局的影响。我们采用熵值法评估大湾区各城市的金融集聚水平。此外，我们使用空间计量技术分析空间相关性，并使用地理探测器模型确定影响金融集聚的主要因素。分析表明，金融集聚总体呈上升趋势，但各城市之间存在显著差异。推动这种集聚的关键因素包括交通基础设施、对外贸易、外国直接投资（FDI）和技术进步。香港和深圳在金融行业分布上存在明显不均衡。金融、技术和产业部门之间的相互作用显示出巨大的发展潜力。了解和优化金融资源的空间分布对于促进大湾区高质量金融发展和可持续经济增长至关重要。本研究提供的见解可为旨在加强该地区金融一体化与合作的政策决策提供参考。
