长三角地区城市金融竞争力的比较分析

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3.0 周伟光 2024-09-30 4 4 923.07KB 65 页 15积分
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浙江财经学院硕士学位论文
I
摘 要
在经济快速发展的同时,我国地区经济发展的差异正在迅速扩大,不同区域
的金融资源丰裕程度也不尽相同,区域间金融发展呈现非均衡状态。长三角地区
作为我国经济最活跃的地区,其金融发展程度在国内领先于中西部地区的,但近
年来其经济发展速度已明显落后于中西部地区。虽然从国际视角而言,比较发达
的长三角地区经济发展速度的减缓是应有之义,但站在国家的角度可以发现欧美
等发达国家各地区之间经济发展速度的差异并不是非常显著。从传统研究来说,
经济发展速度变慢主要是由以下三种观点:第一,经济发展规律论认为经济发展
符合其发展规律并已经达到一定阶段,即经济发展已达到一个瓶颈,需要寻求新
的突破;第二,产业结构论认为产业结构不合理导致经济发展速度缓慢,即产业
结构跟不上经济发展;第三,人口红利论认为人口红利的消失会降低经济发展速
度。而本文试图建立一套长三角地区金融竞争力的评价指标体系,从金融竞争力
角度考察东部经济发展速度落后于中西部的原因。
东部经济最发达的地区是长三角地区,本文以长三角地区 25 个地级以及地级
以上城市为样本,参照 IMD 及相关研究关于金融竞争力的指标体系,并结合长三
角地区实际情况建立了长三角地区城市金融竞争力评价指标体系。在指标体系的
基础上本文通过因子分析、聚类分析以及梯次分析等计量方法,考察了 2010 年长
三角不同城市在金融方面的优势和劣势,划分了该地区不同城市的金融竞争力等
级,分析了金融中心城市与次级金融中心城市以及整个长三角地区的金融辐射体
系和金融资源流向,然后通过计量分析结果建立金融竞争力与经济发展速度的简
单二元回归模型,试图从中寻求两者关系,最后结合实证结果与经济运行的实际
情况提出促进长三角地区经济金融发展的相关建议。
本文的研究内容主要包括以下几个方面:
首先,界定了城市金融竞争力内涵,对竞争力理论进行了简要的回顾,并重
点罗列和阐述了国内外对城市金融竞争力的相关研究。通过分析已有研究,基本
确立了本文所要采用的研究方法、所使用的模型——主要采用因子分析法、构建
指标所需要的理论基础以及计算指标所需要查找的数据类型。
其次,根据实际情况并结合已有研究,本文将城市金融竞争力评价指标体系
分为金融体系竞争力与金融生态环境竞争力两大类,其中金融生态环境竞争力又
细分为综合经济竞争力、对外开放竞争力、科教人才竞争力与基础设施竞争力四
个方面,主要采用因子分析方法对各个分力进行计量分析,并以金融竞争力得分
为变量进行聚类分析,划分城市级别,再以定性的方式进行各梯度城市的梯次分
浙江财经学院硕士学位论文
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析,并尝试性的使用 GDP 增长率和所计算出的金融竞争力排名做了一个简单的回
归,在此基础上给出了一定的参考建议。
再次,通过实证分析可得出各城市的综合得分与排名情况,依照该情况,本
文将这 25 城市划分为五个等级,上海单独为一个等级,苏州、南京、杭州为一个
等级,宁波、无锡为一个等级,常州、南通、绍兴、温州、徐州、嘉兴、金华、
台州、泰州、扬州、镇江为一个等级,其它城市为一个等级。从省一级的层面上
看,江苏省 13 个城市有 5个排在前十位,6个城市排在中间,2个城市排名后五
位,这说明其城市金融竞争力较强,但内部差距较大;浙江 11 个城市有 4个排在
前十位,有 4个城市排在中间,有 3个城市排在后五位,说明其城市金融竞争力
相对较弱,但内部差距不大。此外通过因子分析法可以在一定程度上了解一个城
市金融竞争力强弱的原因,比如杭州就是因为对外开放竞争力水平相对其他方面
较低导致其排名只能为第四位。而通过聚类分析法得出的基本结论与因子分析法
是基本一致的。然后使用梯次分析法可得,上海是整个长三角地区的金融中心,
苏州、杭州分别是江苏省和浙江省的金融中心,是长三角金融竞争力比较强的次
级金融中心,而南京可作为江苏的次级金融中心,宁波可作为浙江的次级金融中
心。整个长三角地区可形成一个完整、发达的金融辐射体系,金融资源首先由金
融竞争力最强的上海流向金融竞争力相对较强的苏州、杭州,而然后再由苏州、
杭州流向南京、宁波,之后再通过以这四大城市为中心的金融辐射网络向下一级
配置再向周边扩散,形成一个“点——轴——面”的发展模式,以期形成一个类
似于纽约城市群、东京城市群那样的都市群。
然后,结合金融竞争力计量分析结果建立金融竞争力与经济发展速度的简单
二元回归模型,金融竞争力水平越高的城市,其经济发展速度越缓慢,即经济发
展跟不上金融发展,金融发展脱离了经济发展,两者正在背离,形成一种不对称
的局面。说明银行贷款、政府投资集中的经济发达地区存在金融泡沫。
最后,针对分析结论,结合影响城市金融竞争力的因素,根据各地的实际情
况,提出提升金融竞争力的意见,希望能够促进我国经济更好、更快地发展。
关键词:金融竞争力;因子分析;聚类分析
浙江财经学院硕士学位论文
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ABSTRACT
While the economic development in China is expanding rapidly, the difference of
regional economic development is increasingly growing, and the financial abundance in
different regions is quite distinctive. The state of regional financial development is
non-balanced. Yangtze Delta, as the most active region in China, is ahead of the central
and western regions in the degree of financial development, but its pace of economic
development in recent years has significantly lagged behind the central and western
regions. From an international perspective, the pace of economic development of the
Yangtze River Delta region slowing down is even obvious, but standing on the point of
country we can find that the difference of the pace of economic development among
different regions is not very significant in Europe, the United States and other
developed countries. Therefore, this article attempts to establish a set of evaluation
index system in financial competitiveness of the Yangtze River Delta region, to
examine the reasons why lagging behind the central and western regions from the
financial competitiveness perspective.
By choosing 25 cities in Yangtze River Delta region as the sample, referring the
IMD and related research on the competitiveness of the financial index system,
combined with the actual situation of the Yangtze River Delta region we have
established the city's financial competitiveness evaluation index system of the Yangtze
River Delta region. On the basis of the index system, we have used factor analysis,
cluster analysis and echelon analysis measurement methods to investigate the financial
advantages and disadvantages of different cities in the Yangtze River Delta in 2010, rate
the financial competitiveness level in different cities of the region, analyze the flow of
financial resources among the financial-center city, the secondary-financial-center city,
and the whole Yangtze River Delta region's financial system. Finally, combined the
empirical results with the actual situation of economic operation we have proposed
some recommendations to promote the financial development of the Yangtze River
Delta region.
This paper is composed of the following parts:
First, defining the concept and content of city financial competitiveness, reviewing
the competitive theory briefly, and focusing on listing and elaborating related researches
of the city financial competitiveness at home and abroad. Through analyzing the
浙江财经学院硕士学位论文
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existing research, the study approach, the model, the theoretical basis, and the type of
data to be used in the calculation of the indicators is established basically.
Secondly, according to the actual situation, combined with existing research, the
city financial competitiveness evaluation index system is divided into two major
categories: the competitiveness of the financial system and the competitiveness of
financial ecological environment. Financial ecological environment competitiveness is
subdivided into four aspects: comprehensive economic competitiveness, opening up
competitiveness, scientific and educational personnel competitiveness and infrastructure
competitiveness. As for econometric analysis, we mainly use factor analysis method,
and clustering analysis based on financial competitiveness score to divide the city level,
then we can get the echelon analysis of gradient city quantitatively. In addition, By
using GDP growth and financial competitiveness ranking we attempt to do a simple
regression, based on which we have proposed some advice.
Thirdly, through the analysis of the financial competitiveness of the Yangtze River
Delta, we divide its 25 city divided into five levels. Shanghai belongs to level1. Suzhou,
Nanjing and Hangzhou belong to level2. Ningbo and Wuxi belong to level3. Changzhou,
Nantong, Shaoxing, Wenzhou, Xuzhou, Jiaxing, Jinhua, Taizhou, Taizhou, Yangzhou
and Zhenjiang belong to level4. Huzhou, Lianyungang, Yancheng, Huai'an, Lishui,
Quzhou, Suqian and Zhoushan belong to level5. From the perspective of province, out
of Jiangsu province’s 13 cities, 5 belongs to top 10, 6 belongs to 10-20, and 2 belongs to
the last 5. This indicates that city financial competitiveness of Jiangsu is better while the
internal difference is bigger. Out of Zhejiang province’s 11 cities, 4 belongs to top 10, 4
belongs to 10-20, and 3 belongs to the last 5. This indicates that city financial
competitiveness of Zhejiang is weaker while the internal difference is smaller. What’s
more, through factor analysis we can find out the reason why a city’s financial
competitiveness is weak or strong to some extent, for example, due to the lower
competitiveness level of opening up, Hangzhou is only ranked fourth. And the
conclusion obtained by cluster analysis is almost the same as factor analysis. Then by
using echelon analysis measurement we can see that Shanghai is the financial center of
the Yangtze River Delta region, thus has the strength and potential to create an
international financial center. Suzhou and Hangzhou are the financial center of Jiangsu
Province and Zhejiang Province respectively, thus are the secondary financial centers in
the Yangtze River Delta. And Nanjing can be the secondary financial center of Jiangsu,
and Ningbo can be the secondary financial center in Zhejiang. Thus the whole Yangtze
浙江财经学院硕士学位论文
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River Delta region can become a complete and well-developed financial radiation
system. The flow of financial resources is from Shanghai to Suzhou and Hangzhou, then
from Suzhou and Hangzhou to Nanjing and Ningbo, and then spread down to other
cities, to form a "point - axis - face" development model, in order to form a similar city
group as New York city group, Tokyo city group and so on.
Finally, according to the analysis conclusion, combined with the factors
influencing the city financial competitiveness, based on the actual situation around, We
propose some recommendation to enhance the financial competitiveness, hoping to
promote the economic development of Zhejiang province much better and faster.
Keywords: Financial CompetitivenessFactor analysisCluster analysis
浙江财经学院硕士学位论文
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目录
第一章 绪 论 ...................................................... 1
第一节 选题背景及意义 ........................................... 1
第二节 研究思路与方法 ........................................... 4
第三节 研究内容与框架 ........................................... 4
第四节 创新点及不足之处 ......................................... 6
第五节 国内外文献综述 ........................................... 6
第二章 城市金融竞争力研究的理论基础 ............................... 10
第一节 城市金融竞争力内涵 ...................................... 10
第二节 竞争力理论 .............................................. 12
第三节 区域经济学理论 .......................................... 12
第四节 金融发展理论 ............................................ 15
第三章 评价长三角地区城市金融竞争力指标体系的构建 ................. 19
第一节 指标体系设计原则 ........................................ 19
第二节 评价指标体系的具体选择及说明 ............................ 20
第三节 样本选择及数据来源 ...................................... 25
第四节 数据分析方法 ............................................ 26
第四章 长三角地区城市金融竞争力实证分析 ........................... 31
第一节 长三角城市金融竞争力因子分析 ............................ 31
第二节 长三角城市金融竞争力聚类分析 ............................ 44
第三节 长三角城市金融竞争力梯次分析 ............................ 46
第四节 实证分析结果的简单应用 .................................. 49
第五章 结论与建议 ................................................. 52
第一节 结论 .................................................... 52
第二节 建议 .................................................... 54
参考文献 ........................................................... 57
附录 ............................................................... 60
致谢 ............................................................... 61
摘要:

浙江财经学院硕士学位论文I摘要在经济快速发展的同时,我国地区经济发展的差异正在迅速扩大,不同区域的金融资源丰裕程度也不尽相同,区域间金融发展呈现非均衡状态。长三角地区作为我国经济最活跃的地区,其金融发展程度在国内领先于中西部地区的,但近年来其经济发展速度已明显落后于中西部地区。虽然从国际视角而言,比较发达的长三角地区经济发展速度的减缓是应有之义,但站在国家的角度可以发现欧美等发达国家各地区之间经济发展速度的差异并不是非常显著。从传统研究来说,经济发展速度变慢主要是由以下三种观点:第一,经济发展规律论认为经济发展符合其发展规律并已经达到一定阶段,即经济发展已达到一个瓶颈,需要寻求新的突破;第二,...

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作者:周伟光 分类:高等教育资料 价格:15积分 属性:65 页 大小:923.07KB 格式:PDF 时间:2024-09-30

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