央行数字货币（CBDC）项目驱动因素的数据驱动分析
Data-driven analysis of central bank digital currency (CBDC) projects drivers
摘要：
在本文中，我们使用各种机器学习方法来量化经济和技术因素对一国央行数字货币（CBDC）进展的预测程度，并使用CBDC项目指数（CBDCPI）作为我们对这一进展的衡量标准。我们发现，金融发展指数是我们的模型最重要的功能，其次是人均国内生产总值和国家的人口的声音和问责制的指数。我们的研究结果与之前的定性研究一致，后者发现金融发展或数字基础设施高度发达的国家拥有更发达的CBDC项目。此外，我们在预测不同时间点的CBDCPI时获得了稳健的结果。
英文摘要：
In this paper, we use a variety of machine learning methods to quantify the extent to which economic and technological factors are predictive of the progression of Central Bank Digital Currencies (CBDC) within a country, using as our measure of this progression the CBDC project index (CBDCPI). We find that a financial development index is the most important feature for our model, followed by the GDP per capita and an index of the voice and accountability of the country's population. Our results are consistent with previous qualitative research which finds that countries with a high degree of financial development or digital infrastructure have more developed CBDC projects. Further, we obtain robust results when predicting the CBDCPI at different points in time.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
