江西省金融产业空间集聚研究

发布时间：2018-05-15 21:19

本文选题：金融产业 + 产业集聚　；参考：《江西财经大学》2017年硕士论文

【摘要】：金融产业是现代经济的核心产业,是调节宏观经济的重要杠杆,对经济社会的影响不断扩大,而且随着全球一体化的不断深入,发展金融产业已经成为大势所趋。江西省作为中部省份之一,金融产业发展相对滞后,各设区市之间金融产业的发展呈现出明显的非均衡状态,且金融差异的不断扩大不但限制了产业自身的发展,而且影响了地区的发展。而金融产业集聚能够推动产业扩张,提高金融配置效率,带来经济效益,进而促进产业自身及周边地区发展,因而研究江西省金融产业集聚相关问题意义重大。本文通过现状分析,发现江西省银行业发展势头强劲,证券业次之,保险业较差。本文从金融发展程度、储蓄资源、贷款资源、保险资源四方面将江西省与周边六个相邻省份进行对比,结果显示,除金融发展程度外,江西省其余三方面均落后于其他六省。本文运用泰尔指数来研究江西省金融产业的规模、结构、效率三方面的区域差异,得出的结果显示:2000—2014年,江西省金融产业区域差异不断扩大;2014年,金融规模差异主要表现为赣北经济片区内部的差异,其余两方面差异均主要表现为赣西经济片区内部的差异。本文采用区位熵方法对江西省金融产业的集聚度进行测度,结果发现:2000—2014年,江西省金融产业的集聚度有所下降,四大经济片区之间、各设区市之间的集聚度相差较大;2014年,江西省四大经济片区分别形成了以南昌市、鹰潭市、赣州市、宜春市为中心的集聚发展格局。本文运用Moran’s I和Geary’s C指数对江西省金融产业的全局和局域的空间相关性进行检验,得出结论:2000—2014年,江西省金融产业在经济空间上存在正向空间相关关系,且产业集聚表现出明显的空间依赖性。本文使用2000—2014年江西省11个设区市的面板数据,采用基于经济距离空间权重矩阵的空间面板误差模型对金融产业集聚的影响因素进行了分析,结果显示:模型设定的七个因素均比较显著;开放程度、基础设施建设、人力资本投资、政府行为对金融集聚的形成起抑制作用;工业支撑、经济基础、金融机构业务对金融集聚的形成起促进作用。最后,本文对今后江西省金融产业的集聚发展提出了政策建议:加强区域金融合作,优化区域金融布局;推动区域经济发展,带动金融产业集聚;加强基础设施建设,营造金融集聚环境;引进高端金融人才,减少金融人才外流;促进区域金融创新,提高金融业务水平。
[Abstract]:Financial industry is the core industry of modern economy and an important lever to regulate macro-economy. The influence of financial industry on economy and society is expanding. With the deepening of global integration, the development of financial industry has become the trend of the times. As one of the central provinces in Jiangxi Province, the development of financial industry is relatively lagging behind, and the development of financial industry between districts and cities presents an obvious unbalanced state, and the continuous expansion of financial differences not only limits the development of the industry itself. And affected the development of the region. The agglomeration of financial industry can promote the expansion of industry, improve the efficiency of financial allocation, bring economic benefits, and then promote the development of the industry itself and the surrounding areas, so it is of great significance to study the related issues of financial industry agglomeration in Jiangxi Province. Through the analysis of the present situation, it is found that the banking industry in Jiangxi Province has a strong development momentum, followed by the securities industry and the insurance industry. This paper compares Jiangxi Province with six neighboring provinces in terms of financial development level, savings resources, loan resources and insurance resources. The results show that the other three aspects of Jiangxi Province lag behind the other six provinces except the degree of financial development. This paper studies the regional differences in the scale, structure and efficiency of the financial industry in Jiangxi Province by using the Thiel Index. The results show that the regional differences in the financial industry of Jiangxi Province have been expanding from 2000 to 2014. The difference of financial scale is mainly the difference within the economic district of north Jiangxi, and the difference of the other two aspects is mainly the difference within the economic region of western Jiangxi. This paper uses the method of location entropy to measure the convergence degree of financial industry in Jiangxi Province. The results show that the convergence degree of financial industry in Jiangxi Province has decreased from 2000 to 2014, and the convergence degree of financial industry in Jiangxi Province has a great difference among the four economic regions. The four economic regions of Jiangxi Province have formed a pattern of agglomeration and development centered on Nanchang, Yingtan, Ganzhou and Yichun. This paper uses Moran's I and Geary's C index to test the global and local spatial correlation of financial industry in Jiangxi Province, and draws a conclusion that there is a positive spatial correlation relationship between financial industry and financial industry in Jiangxi Province from 2000 to 2014. And industrial agglomeration shows obvious spatial dependence. In this paper, using the panel data of 11 districts in Jiangxi Province from 2000 to 2014, the paper analyzes the influencing factors of the financial industry agglomeration by using the spatial panel error model based on the economic distance spatial weight matrix. The results show that the seven factors of model setting are significant; the degree of openness, infrastructure construction, investment in human capital, government behavior inhibit the formation of financial agglomeration, industrial support, economic foundation, The business of financial institutions promotes the formation of financial agglomeration. Finally, the paper puts forward some policy suggestions on the agglomeration of financial industry in Jiangxi Province: strengthening regional financial cooperation, optimizing regional financial layout, promoting regional economic development, promoting financial industry agglomeration, strengthening infrastructure construction, Create a financial agglomeration environment; introduce high-end financial talents, reduce the outflow of financial talent; promote regional financial innovation, improve the level of financial business.
【学位授予单位】：江西财经大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F832.7

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