成都平原城市群金融集聚的空间格局及影响因素分析

发布时间：2018-09-11 17:33

【摘要】：金融业属于信息密集型产业,其核心作用在于实现资源的有效配置,因此金融业在其发展过程中存在很强的规模经济效应和范围经济效应。正是金融业的这种特性,导致了金融业能够获得极大的集聚经济收益,因此金融业发展的过程实际上就是金融资源集聚的过程。这种金融集聚现象引起了学界的广泛关注,很多学者从金融中心的形成角度对金融集聚现象进行了研究。目前针对金融集聚的研究多是选择经济发达地区,选择经济金融发展水平一般地区的研究较少。本文选择经济发展水平一般的成都平原城市群,对该地区金融集聚的空间格局与影响因素进行了深入研究。本文首先回顾了金融集聚的相关理论,然后选取了八个指标,运用时序全局主成分分析法对成都平原城市群各地市2005-2014年10年的金融集聚水平进行了测度并构建出一套合理的指标体系。然后,运用莫兰指数度量成都平原城市群金融集聚的空间自相关性,并运用ESDA方法考察了成都平原城市群金融集聚的空间分布。最后,分析影响成都平原城市群金融集聚的影响因素,同时构建空间自相关面板模型进行实证检验,得出结论如下：第一,空间因素是影响成都平原城市群金融集聚状况的因素之一。在建立的模型中,空间因素的回归结果均十分显著。第二,回归结果显示,经济基础以及资本投入对金融集聚有很强的正相关性,城镇化水平的高低、工业支持因素也一定程度上正向影响金融集聚。第三,实证结果显示,互联网发展水平与成都平原城市群金融集聚负相关,而且在大部分模型中都很显著。这可能因为互联网发展水平对于金融资源向金融中心城市的集聚有着极大地促进作用,但对于中心城市之外的外围城市来说,则具有极大的反向作用。
[Abstract]:Financial industry belongs to information intensive industry, whose core function is to realize the effective allocation of resources. Therefore, there are strong economies of scale and scope economic effects in the development of financial industry. It is this kind of characteristic of the financial industry that causes the financial industry to obtain the great economic benefits of agglomeration, so the process of the development of the financial industry is actually the process of the agglomeration of financial resources. This phenomenon of financial agglomeration has aroused widespread concern in academic circles. Many scholars have studied the phenomenon of financial agglomeration from the perspective of the formation of financial centers. At present, most of the researches on financial agglomeration are focused on the developed regions, and few on the general areas of economic and financial development. In this paper, the urban agglomeration in Chengdu Plain with general economic development level is selected, and the spatial pattern and influencing factors of financial agglomeration in this area are deeply studied. This paper first reviews the relevant theories of financial agglomeration, and then selects eight indicators. The financial agglomeration level of cities in Chengdu Plain from 2005 to 2014 was measured by using the time series global principal component analysis method and a set of reasonable index system was constructed. Then, the Moran index is used to measure the spatial autocorrelation of financial agglomeration in Chengdu plain urban agglomeration, and the spatial distribution of financial agglomeration in Chengdu plain urban agglomeration is investigated by ESDA method. Finally, the paper analyzes the influencing factors of financial agglomeration in Chengdu Plain City agglomeration, and constructs spatial autocorrelation panel model for empirical test. The conclusions are as follows: first, Spatial factor is one of the factors that influence the financial agglomeration of Chengdu Plain Urban agglomeration. In the established model, the regression results of spatial factors are very significant. Second, the regression results show that the economic base and capital investment have a strong positive correlation with financial agglomeration, the level of urbanization and industry support factors also positively affect financial agglomeration to some extent. Thirdly, the empirical results show that the level of Internet development is negatively correlated with the financial agglomeration of urban agglomeration in Chengdu Plain, and is significant in most models. This may be because the level of Internet development can greatly promote the agglomeration of financial resources to the financial center city, but for the peripheral city outside the central city, it has a great reverse effect.
【学位授予单位】：西南交通大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：F832.7

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