“丝绸之路经济带”涵盖地域广阔,其沿线国家在经济、金融发展方面呈现出明显的国别差异。为了给我国和“丝绸之路经济带”沿线国家的金融协作、商贸协作、基础设施互联互通等提供数据支撑,本文以“丝绸之路经济带”沿线46个国家为样本数据来源,对这些国家的金融发展基本情况进行分析,并借助主成分分析方法对这些国家的金融发展潜力进行指数化评估,得出东欧国家金融发展指数较高,其次为西亚国家,中亚和南亚国家金融发展指数较低。最后,通过分析各国金融发展指数的差异及其成因,提出了具有针对性的合作策略和政策建议。
The“Silk Road Economic Belt” covers wide areas.The countries along these areas are obviously different in many aspects such as economy, financial development, and so on. In order to offer data on finance cooperation, trading cooperation and infrastructure interconnection to countries along the “Silk Road Economic Belt” and China as well,this paper usesdata from 46 countries along the “Silk Road Economic Belt” except China and.Analyses the basic situation of financial development of these countries, and then estimates synthetically the potential capacity of financial development of these countries by the technology of principal component. Analysis that the Eastern European countries financial development index is higher, followed by West Asia, Central Asia and South Asia countries financial development index is low. Finally, through the analysis of the differences and causes of the financial development index, it gives the cooperation strategy and policy recommendations.
[1]郭亚军.综合评价理论与方法[M].北京:科学出版社,1983.
[2]Jianguo Sun.A Note on Principal Component Analysis for Multi-dimensional Data[J].Statistics & Probabili Letter,2000(46):69-73.
[3]李清华,郭耀煌.主成分分析用于多指标评价的方法研究[J].管理工程学报,2002(1):39-43.
[4]杨永恒,胡鞍钢,张宁.基于主成分分析法的人类发展指数替代技术[J].经济研究,2005(7):4-17.
[5]张成思,李雪君.基于全球视角的中国金融发展指数研究[J].金融研究,2012(6):54-67.
[6]李延凯,韩廷春.金融环境演化下的金融发展与经济增长:一个国际经验[J].世界经济,2013(8):145-160.
[7]庄晓玖.中国金融市场化指数的构建[J].金融研究,2007(11):180-190.
[8]何德旭,娄峰.中国金融稳定指数的构建及测度分析[J].中国社会科学院研究生院学报,2011(4):16-25.
[9]张晓玫,罗鹏.信贷增长、金融发展与宏观经济波动[J].国际金融研究,2014(5):14-23.
[10]张坤.金融发展与全球经济再平衡[J].国际金融研究,2015(2):14-22.