金融产业集聚对经济发展的影响——以广东省为例

金融产业集聚对经济发展的影响——以广东省为例

【摘要】现如今，中国的改革开放之路已经走过40年，在全球化经济浪潮下，无论是国际范围还是国内范围，企业、机构、政府部门、个人等每个角色间的合作、商贸等经济活动都离不开金融或者说金融机构，正是金融服务行业的存在，才能使得各种金融资源以高效率在经济社会中流动，支撑着社会、国家的发展，在当今社会金融已然是核心产业之一。同时人们的需求也不断促进金融行业的发展，于是因为各种驱动力的影响，金融要素渐渐集中，组成了一种规模庞大，专业化极强的集群，这就是金融产业的集聚。而金融的集聚则以更加强大的力量继续对经济产生影响，本文所研究的内容就金融产业集聚对经济增长的影响。

首先，本文是基于国内外已有的金融产业集聚有关研究成果上完成的。通过文献的收集和整理，阐释了金融产业集聚的概念和理论，金融产业集聚的测度方式和角度，金融产业集聚的模型构建和实证方法。然后以区位熵为指标对广东省目前各地级市的金融产业集聚情况进行统计性描述。在区位熵和其他指标的基础上构建了面板数据模型并进行单位根检验、Kao协整检验、Hausman检验以确定模型，最后进行回归分析。文章的最后则对基础上文的研究分析进行总结并结合广东省实际情况提出参考性意见。

【关键词】金融产业集聚；区位熵；面板数据模型

The Impact of Financial Industry Agglomeration on Economic Development——Taking Guangdong Province as

an Example

[Abstract] Nowadays, China has gone through 40 years of reform and opening up. Under the wave of globalization economy, whether it is international or domestic, enterprises, institutions, government departments, individuals and other roles of cooperation, business and other economic activities. It is the existence of the financial services industry that enables various financial resources to flow in the economy and society with high efficiency, supporting the development of society and the country. In today ’s social finance, it is already a core industry One. Because of the influence of various driving forces, financial elements are gradually concentrated, forming a large-scale, highly specialized cluster, which is the concentration of the financial industry. The content of this article is about the impact of financial industry agglomeration on economic growth.

First of all, this article is based on the relevant research results of domestic and foreign financial industry agglomeration. Through the collection and arrangement of literature, the concept and theory of financial industry agglomeration, the measurement method and angle of financial industry agglomeration, the model construction and empirical methods of financial industry agglomeration are explained. Then use the location entropy as an indicator to statistically describe the current situation of financial industry agglomeration in various cities in Guangdong Province. Based on the location entropy and other indicators, a panel data model is constructed and unit root test, Kao cointegration test, and Hausman test are performed to determine the model, and finally regression analysis is performed. At the end of the article, it summarizes the research and analysis based on the above and puts forward reference opinions based on the actual situation of Guangdong Province.

[Keywords] Financial agglomeration Location entropy Panel data model