节点文献
金融产业集聚研究
Research on Financial Industry Clustering
【作者】 韩冰;
【导师】 张志元;
【作者基本信息】 山东经济学院 , 区域经济学, 2011, 硕士
【副题名】以山东省为例
【摘要】 在现代社会,金融业已成为推动区域经济发展的重要力量。它不仅能够保证社会再生产的顺利进行,还是社会再生产的重要推动力量。一个地区要实现赶超式、跨越型发展,必须建立机构集中、信息通达、设施先进、市场发达、服务高效的区域金融中心,通过金融中心集聚生产资本及其它生产要素,以推动区域经济的持续快速发展。目前对区域金融发展差异的原因分析,大部分的文献认为:国家政策或者政府是造成区域金融发展差异的主因,其建议一般是政府采取一系列措施促进各区域金融的发展。不能否认政府在区域金融发展中发挥的作用,但导致区域金融发展差异的原因是多方面的,比如各地经济发展态势、空间距离差异、政府对金融业的管制态度以及对外地金融业进入的许可程度等,都是导致不同地区金融发展差异的不可忽视的原因。本论文围绕着金融产业集聚展开研究,吸收了区域金融学、金融地理学、区域经济学、空间经济学对空间产业集聚研究的成果,紧密结合实际,对金融产业集聚的内涵、金融产业集聚的特征以及金融产业集聚的形成模式进行了系统的研究,形成对金融产业集聚研究的一个理论框架。本文通过对比鲁东半岛、鲁中南、鲁西南三大区域金融的空间差异及动态变化过程,从多视角分析了我省金融产业集聚的现状及其影响因素。本文分五部分。第一章绪论。第二章对金融产业集聚和产业集聚的概念进行了界定,之后从金融产业集聚的动因与金融产业产业集聚的效用机理两个方面系统总结了目前国内外对金融产业集聚的相关文献。第三章系统介绍了产业集聚程度的测量指标,分别计算出山东17地市各年的区位熵,得出了山东各地市近九年来的金融产业集聚度分布轨迹。第四章为山东省金融产业集聚影响因素的空间计量分析。第五章为促进山东省金融产业集聚的政策建议。根据对影响山东省金融产业集聚的影响因素的实证检验,有针对性的提出促进山东省金融产业集聚的政策建议,以促进山东省实体经济的发展。
【Abstract】 In modern society, finance has already become an important driving in the development of economic. It is not only able to bridge the fracture behavior of the trade, but also an important driving force in social reproduction .A region which achieves leaps and bounds, catch-up type development must establish regional financial center which has the focus of institutions, developed market ,information access, facilities, efficient services .Through the accumulation of capital of financial center and other factors of production, it promotes the region’s economic to make a rapid development.However, in the existing analysis of the causes in the financial differences of the regions , the majority of the literature consider: the government or the national policy is the main reason for differences in regional finance and the advise must be that the Government take a series of effective measures to promote financial development in the region. We should not deny the role that the Government plays in the financial development in the region ,but the reasons that cause the non-equilibrium in financial development of the regions are so many, such as the impact of spatial distance, local economic development trend, the Government’s attitude toward the control of the financial industry and the degree of permission that allow the financial sector of the Remote enter (exist that finance is ruled out ), the residents’ financial awareness that are all reasons which cause the different forms of financial services industry in different regions can not be ignored. If we exclude these reasons, financial research in the regions certainly will be more one-sided, the given proposal do not have a good practical significance because of one-sided. Financial geography can well combine the financial development of the regions and the above factors that influence it, and it provides a new way of thinking in the new era of regional financial development .In this paper, the financial gather around to conduct a study, through the absorption of regional economics, regional finance, financial geography, Spatial Economics Research of the spatial concentration of the theoretical results, combined with the actual gathering of financial content, the characteristics of financial accumulation and financial industries clustering analysis of the formation mode of the system to do further research, the formation of concentration of financial research a preliminary theoretical framework.By comparing the financial space and dynamic process of change in the eastern, central and western three major regional differences, we analysizes the Shandong’s status of financial industries and its influencing factors from many perspectives.Thesis is divided into five parts. The first Chapter is preface.Chapter II ,after the concept of industrial clustering and the financial industries have been defined, we Systematically summarize the current financial industry at home and abroad on the formation dynamics, the mechanism of such effects,from the perspectives of financial geography, regional economics and financial resources. Chapter III summarizes the index of measuring industry clustering, then calculates separately the 17 city’financial industry clustering degrees, at last concludes a near nine-year spatial and temporal distribution of Shandong financial industry’s track. Chapter IV is the spatial factors impacting the financial industrial clustering analysis. It indicates that a high degree of domain existence of spatial autocorrelation, with the exception of space factors, a significant impact on the financial industry has a per capita concentration of the variables GDP, the level of human capital and research and development. Chapter V gives the methods to promote the Shandong financial industry clustering.