摘要
研究目标:考察人民币在"一带一路"沿线国家货币圈中的影响力,包括影响力在时间维度上的演变以及在空间上的地域差异。研究方法:基于平面极大过滤图法(PMFG)构建包括人民币、欧元、美元以及74种"一带一路"沿线国家货币的汇率联动复杂网络模型,运用度值分析来研究网络中货币的影响力。研究发现:由人民币、欧元和美元以及其他74种"一带一路"沿线国家货币形成的货币圈中存在不同的汇率联动板块;与主要国际货币相比,人民币在"一带一路"区域的影响力相对较弱;在"一带一路"倡议提出之后,人民币在"一带一路"区域的地位有所提升;人民币在"一带一路"沿线国家货币中的影响力存在显著的区域差异,在中西亚地区最为强劲,在南亚、中东欧地区较为薄弱。研究创新:运用复杂网络模型研究各货币汇率之间的联动性。研究价值:研究支持了"一带一路"倡议,同时为中国制定更有针对性地实现人民币区域化,进而全面实现人民币国际化的政策举措,提供了理论依据和实证支持。
Research Objectives:This paper intends to investigate the influence characteristics of Renminbi in the currency circle of the Belt and Road’s countries,including the evolution of influence in time dimension and regional difference in space.Research Methods:Based on PMFG method,this paper examines the influence of each currency by constructing the exchange rate linkage network model of RMB,Euro,Dollar and 74 currencies of the Belt and Road’s countries and analyzing the degree value.Research Findings:There are different exchange rate linkage plates in the Belt and Road currency circle,and the influence of RMB in this region is weaker than that of Euro and Dollar,and the proposal of"the Belt and Road Initiative"enhances the influence of RMB,and there are significant regional differences in the influence of the RMB,strongest in Central and Western Asia and weakest in South Asia and CEE.Eastern Europe.Research Innovations:A complex network model is used to study the correlation of exchange rates among the currencies.Research Value:From the perspective of currency internationalization,this paper supports the"the Belt and Road Initiative"and provides theoretical basis and empirical support for China to realize RMB regionalization and internationalization in a more targeted and comprehensive way.
作者
曹伟
冯颖姣
Cao Wei;Feng Yingjiao(School of Finance,Zhejiang Gongshang University)
出处
《数量经济技术经济研究》
CSSCI
CSCD
北大核心
2020年第9期24-41,共18页
Journal of Quantitative & Technological Economics
基金
国家社科基金项目“网络模型视角下中美两国进口贸易波动的溢出效应及反向冲击效应研究”(19BJY199)的资助。
关键词
“一带一路”倡议
汇率联动
网络模型
平面极大过滤图法
The"Belt and Road"Initiative
Exchange Rate Linkage
Network Model
Planar Maximally Filtered Graph