School of Economics and Management, University of Chinese Academy of Sciences, Beijing, PR China.
Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing,PR China.
PLoS One. 2019 Sep 6;14(9):e0221874. doi: 10.1371/journal.pone.0221874. eCollection 2019.
As of November 1, 2018, China's "One Belt and One Road" Initiative has involved 123 countries and promoted worldwide communication, cooperation and trade exchange. This paper constructs correlation networks of exchange rates among the countries along "The Belt and Road" and analyzes the risk contagion structure. It is found that when "The Belt and Road" initiative is initialized, countries in Eastern Europe occupy important positions in the network and play a vital role in the spreading of exchange rate risks; however, during the process of "The Belt and Road" initiative, the exchange rate risks are decentralized geographically, whereas they are centralized in countries that have in-depth communication and cooperation. The minimum Spanning Tree method is also proposed to investigate the structure of complex networks. It is found that the geographical link between exchange rate fluctuations and correlations among the countries has been strengthened while China has become an important node in the exchange rate network after the launch of "The Belt and Road" initiative. In addition, the influence and promotion of RMB has rapidly benefited from the initiative.
截至 2018 年 11 月 1 日,中国的“一带一路”倡议已经涉及 123 个国家,促进了全球范围内的交流、合作和贸易往来。本文构建了“一带一路”沿线国家间汇率的关联网络,并分析了风险传染结构。研究发现,“一带一路”倡议启动时,东欧国家在网络中占据重要地位,在汇率风险传播中发挥着至关重要的作用;然而,在“一带一路”倡议推进过程中,汇率风险在地理上呈分散化趋势,而在具有深入沟通与合作的国家中则呈集中化趋势。本文还提出了最小生成树方法来研究复杂网络的结构。研究发现,自“一带一路”倡议启动以来,汇率波动与各国之间相关性的地理联系得到了加强,而中国在汇率网络中已成为一个重要节点。此外,人民币的影响力和推动力也迅速受益于这一倡议。