数字人民币对货币政策传导效率的影响
王秋彬
集美大学, 福建 厦门 361021
起止页码: 62--66页
DOI:
摘要:
利用2020—2024年数字人民币试点地区的宏观经济数据和银行间市场数据,采用双重差分模型(DID)和向量自回归模型(VAR)进行实证分析,探讨数字人民币对货币政策传导效率的影响机制,进而分析数字人民币对数量型货币政策工具的区域异质性影响。研究发现,数字人民币的推广实施显著提高了货币政策价格型传导效率,短期政策利率向存贷款利率的传导速度提升约18%,并加强了广义货币供应量(M2)与实体经济的联系。数字人民币对数量型货币政策工具存在区域异质性影响,经济发达地区政策效果更优,欠发达地区则效果较差。
The Impact of E-CNY on the Transmission Efficiency of Monetary Policy
WANG Qiubin
Jimei University, Xiamen, Fujian 361021, China
Abstract:
Using macroeconomic data and interbank market data from the pilot areas of e-CNY from 2020 to 2024 , this study conducts empirical analysis using difference in differences (DID) and vector autoregression (VAR) models to explore the impact mechanism of e-CNY on the transmission efficiency of monetary policy, and further analyzes the regional heterogeneity impact of e-CNY on quantitative monetary policy tools. Research has found that the promotion and implementation of e-CNY has significantly improved the transmission efficiency of monetary policy in terms of price. The transmission speed from short-term policy interest rates to deposit and loan interest rates has increased by about 18 %, and the connection between the broad money supply (M 2 ) and the real economy has been strengthened. The e-CNY has a regional heterogeneity impact on quantitative monetary policy tools, with policy effects being better in economically developed regions and poorer in underdeveloped regions.
收稿日期: 2025-5-26
基金项目:
参考文献:
[1]张成虎,纪睿智. 数字人民币生态系统结构及其影响机制[J]. 西安交通大学学报(社会科学版), 2025(3): 42-53.
[2]周鹏飞,赵康. 数字人民币税收治理的国际经验借鉴及政策建议[J]. 国家税务总局税务干部学院学报, 2025(2): 41-50.
[3]汪琳. 数字人民币工作的推广及建议[J]. 青海金融, 2025(3): 9-12.
[4]袁婧怡. 数字人民币赋能货币政策的机理研究[J]. 吉林金融研究, 2024(6): 68-73.
[5]王海兵,梅文婕,於铃蒨. 数字人民币审计的现实困境及纾解对策研究[J]. 会计之友, 2024(6): 139-146.
[6]王国刚,胡坤. 数字人民币拓展中有待破解的五个难题[J]. 福建论坛(人文社会科学版), 2024(2): 54-71.
[7]张俊川,江晶晶,艾龙华,等. 数字人民币对货币政策的影响与挑战[J]. 中国银行业, 2023(12): 40-41.
[8]季剑平. 数字人民币发展的机遇、挑战及政策建议探析[J]. 金融文坛, 2023(6): 93-95.