区域金融集聚、经济增长与生态效率的空间统计分析
发布时间：2018-11-20 10:53
【摘要】：在中国区域经济发展过程中，金融集聚对促进经济增长，带动产业结构优化升级，提高生态效率的影响越来越重要。本文运用空间计量经济学的方法，从省域和地级市两个空间区域维度，对全国各区域（东部、东北部、中部和西部）的金融集聚、经济增长与生态效率进行实证研究。研究的主要内容如下：①根据2007-2011年中国31个省或直辖市（以下简称为省市）域的经济发展数据，构建了金融集聚和生态效率的测度指标体系，运用主成分赋权法、模糊隶属度函数法和超效率DEA方法，，得出金融集聚和生态效率的综合测度指数，并给出评价分析。运用空间计量分析方法，计算中国各省市的Moran’s I指数来确定是否存在空间相关性，把金融集聚分成银行业、证券业、保险业、金融密度等四者的集聚，通过建立空间滞后模型与空间误差模型来检验各区域中四者集聚对经济增长和生态效率的空间溢出效应。②根据2004-2011年中国大陆112个地级及以上城市的经济发展数据，利用空间面板计量模型对比分析各区域中四者集聚对经济发展和生态效率的贡献度。研究了各行业金融集聚对经济发展和生态效率的影响效果。
[Abstract]:In the process of regional economic development in China, financial agglomeration plays a more and more important role in promoting economic growth, optimizing and upgrading industrial structure and improving ecological efficiency. Using the method of spatial econometrics, this paper makes an empirical study on the financial agglomeration, economic growth and ecological efficiency of different regions in China (east, northeast, central and west) from the two spatial regional dimensions of provincial and prefectural cities. The main contents of the study are as follows: 1 based on the economic development data of 31 provinces or municipalities (hereinafter referred to as provinces and cities) in China from 2007 to 2011, the measurement index system of financial agglomeration and ecological efficiency is constructed, and the principal component weighting method is used. The fuzzy membership function method and super-efficiency DEA method are used to obtain the comprehensive measure index of financial agglomeration and ecological efficiency, and the evaluation analysis is given. By using the spatial econometric analysis method, the Moran's I index of the provinces and cities in China is calculated to determine whether there is spatial correlation or not, and the financial agglomeration is divided into four groups: banking, securities, insurance, financial density, etc. Spatial lag model and spatial error model are established to test the spatial spillover effects of four clusters on economic growth and ecological efficiency. 2 according to the economic development data of 112 cities in mainland China from 2004 to 2011. The contribution of four clusters to economic development and ecological efficiency was analyzed by using spatial panel econometric model. The effect of financial agglomeration on economic development and ecological efficiency was studied.
【学位授予单位】：南昌大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F832;F124.1;F205
本文编号：2344712
[Abstract]:In the process of regional economic development in China, financial agglomeration plays a more and more important role in promoting economic growth, optimizing and upgrading industrial structure and improving ecological efficiency. Using the method of spatial econometrics, this paper makes an empirical study on the financial agglomeration, economic growth and ecological efficiency of different regions in China (east, northeast, central and west) from the two spatial regional dimensions of provincial and prefectural cities. The main contents of the study are as follows: 1 based on the economic development data of 31 provinces or municipalities (hereinafter referred to as provinces and cities) in China from 2007 to 2011, the measurement index system of financial agglomeration and ecological efficiency is constructed, and the principal component weighting method is used. The fuzzy membership function method and super-efficiency DEA method are used to obtain the comprehensive measure index of financial agglomeration and ecological efficiency, and the evaluation analysis is given. By using the spatial econometric analysis method, the Moran's I index of the provinces and cities in China is calculated to determine whether there is spatial correlation or not, and the financial agglomeration is divided into four groups: banking, securities, insurance, financial density, etc. Spatial lag model and spatial error model are established to test the spatial spillover effects of four clusters on economic growth and ecological efficiency. 2 according to the economic development data of 112 cities in mainland China from 2004 to 2011. The contribution of four clusters to economic development and ecological efficiency was analyzed by using spatial panel econometric model. The effect of financial agglomeration on economic development and ecological efficiency was studied.
【学位授予单位】：南昌大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F832;F124.1;F205
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