Institutional Repository of School of Statistics
作者 | 杨亨莉 |
姓名汉语拼音 | yanghengli |
学号 | 2018000003098 |
培养单位 | 兰州财经大学 |
电话 | 17789654701 |
电子邮件 | 873340584@qq.com |
入学年份 | 2018-9 |
学位类别 | 学术硕士 |
培养级别 | 硕士研究生 |
学科门类 | 经济学 |
一级学科名称 | 应用经济学 |
学科方向 | 数量经济学 |
学科代码 | 020209 |
授予学位 | 经济学硕士学位 |
第一导师姓名 | 王永瑜 |
第一导师姓名汉语拼音 | wangyongyu |
第一导师单位 | 兰州财经大学 |
第一导师职称 | 教授 |
题名 | 粤港澳大湾区金融集聚影响因素及空间溢出效应研究 |
英文题名 | Research on The Influencing Factors and Spatial Spillover Effects of Guangdong-Hong Kong-Macau Greater Bay Area's Financial Agglomeration |
关键词 | 粤港澳大湾区 金融集聚 区位熵 空间溢出效应 |
外文关键词 | Guangdong-Hong Kong-Macau Greater Bay Are ; Financial agglomeration ; Location entropy ; Spatial spillover effect |
摘要 | 粤港澳大湾区依托泛珠三角区域的有利地位和国家政策的支持,现已成为世界四大湾区之一。但由于“一国两制三关税四极点”的特殊性,使其不同于普通湾区。粤港澳大湾区的“四个极点”城市分别是香港、澳门、广州和深圳,其中香港是世界公认的国际金融中心;澳门经济实力雄厚,现已成为世界级旅游休闲中心;深圳和广州在亚太金融中占据重要地位。因此,如何通过湾区“四极点”促进经济增长,充分发挥香港-深圳、广州-佛山、澳门-珠海的帮扶引领和强强联合作用,对于提升泛珠三角地区金融集聚程度具有重要现实意义。 本文首先对金融集聚相关文献进行归纳总结,并进行文献述评;其次在对经济增长与金融集聚等相关理论进行阐述的基础上,对世界四大湾区进行对比分析,用区位熵系数分别测度粤港澳大湾区金融集聚系数和银行、保险和证券集聚系数,并在金融资源视角下使用AHP-TOPSIS方法对湾区金融集聚程度进行综合评价;然后对影响粤港澳大湾区金融产业集聚的众多因素进行动态面板模型的回归;最后从空间计量的角度,对湾区金融集聚和金融子行业集聚的空间效应进行分解。 最终结果表明粤港澳大湾区十一个城市金融发展和经济发展极度不均衡。前期金融集聚度、规模经济、对外开放程度和产业结构四个因素会显著促进粤港澳大湾区金融集聚程度,政府干预度和经济基础会显著抑制金融集聚度。湾区金融集聚和经济集聚已经形成;金融三大子行业中只有银行业集聚还未形成,其中金融集聚有均匀分布趋势,经济集聚和保险业集聚则随着年份的增加集聚程度越深,证券业集聚趋势岁年份的变化并不明显。对空间效应进行分析,结果表明金融集聚能显著促进湾区经济增长,空间溢出效应也显著;银行业集聚对本地经济增长的促进作用不明显,且有负的空间溢出效应;证券业能显著促进本地经济增长,但其溢出效应不显著;保险业集聚的直接效应和溢出效应均非常显著,能显著促进湾区经济增长。最后基于以上的结论有针对性地提出了三个政策建议。 |
英文摘要 | Relying on the favorable position of the Pan-Pearl River Delta region and the support of national policies, Guangdong-Hong Kong-Macau Greater Bay Area has become one of the four major bay areas in the world. However, due to the particularity of "one country, two systems, three tariffs and four poles", it is different from the ordinary Bay area. Guangdong-Hong Kong-Macau Greater Bay Area's "four poles" cities are Hong Kong, Macao, Guangzhou and Shenzhen, among which Hong Kong is recognized as an international financial center in the world. Macao has strong economic strength and has now become a world-class tourism and leisure center. Shenzhen and Guangzhou occupy an important position in Asia-Pacific finance. Therefore, how to promote economic growth through the "four poles" in the Bay area and give full play to the role of Hong Kong-Shenzhen, Guangdong-Foshan, Macao-Zhuhai in helping and leading and joining forces is of great practical significance to enhance the degree of financial agglomeration in the Pan-Pearl River Delta region. First of all, this paper summarizes the literature related to financial agglomeration, and reviews the literature. Secondly, on the basis of expounding the related theories of economic growth and financial agglomeration, this paper makes a comparative analysis of the four major bay areas in the world, uses the location entropy coefficient to measure Guangdong-Hong Kong-Macau Greater Bay Area's financial agglomeration coefficient and the banking, insurance and securities agglomeration coefficient respectively, and uses the AHP-TOPSIS method to comprehensively evaluate the degree of financial agglomeration in the Bay area from the perspective of financial resources. Then it makes a dynamic panel model regression of many factors that affect Guangdong-Hong Kong-Macau Greater Bay Area's financial industry agglomeration; finally, it decomposes the spatial effects of financial agglomeration and financial sub-industry agglomeration in the Bay area from the perspective of spatial measurement. The final result shows that the financial development and economic development of the eleven cities of Guangdong-Hong Kong-Macau Greater Bay Area are extremely uneven. The four factors of early financial agglomeration, economies of scale, degree of opening to the outside world and industrial structure will significantly promote the degree of financial agglomeration of Guangdong-Hong Kong-Macau Greater Bay Area, while the degree of government intervention and economic foundation will significantly restrain the degree of financial agglomeration. Financial agglomeration and economic agglomeration in the Bay area have been formed; among the three major financial sub-industries, only banking agglomeration has not been formed, in
which financial agglomeration has a trend of uniform distribution, while economic agglomeration and insurance agglomeration have a deeper degree of agglomeration with the increase of years. the change of the trend of securities industry agglomeration is not obvious. Based on the analysis of the spatial effect, the results show that financial agglomeration can significantly promote the economic growth of the Bay area, and the spatial spillover effect is also significant; the promoting effect of banking agglomeration on local economic growth is not obvious, and there is a negative spatial spillover effect; the securities industry can significantly promote local economic growth, but its spillover effect is not significant; the direct effect and spillover effect of insurance agglomeration are very significant, which can significantly promote the economic growth of the Bay area. Finally, based on the above conclusions, three policy recommendations are put forward. |
学位类型 | 硕士 |
答辩日期 | 2021-05-15 |
学位授予地点 | 甘肃省兰州市 |
研究方向 | 金融计量经济分析 |
语种 | 中文 |
论文总页数 | 69 |
参考文献总数 | 65 |
馆藏号 | 0003543 |
保密级别 | 公开 |
中图分类号 | F224.0/65 |
文献类型 | 学位论文 |
条目标识符 | http://ir.lzufe.edu.cn/handle/39EH0E1M/29585 |
专题 | 统计与数据科学学院 |
推荐引用方式 GB/T 7714 | 杨亨莉. 粤港澳大湾区金融集聚影响因素及空间溢出效应研究[D]. 甘肃省兰州市. 兰州财经大学,2021. |
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