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稳步发展数字人民币 货币层次定位有望优化
Core Insights - The development of digital RMB is transitioning from pilot exploration to systematic improvement, with the People's Bank of China (PBOC) emphasizing the need for steady development and optimization of the digital RMB management system [1][2] Group 1: Limitations of M0 Positioning - The non-interest-bearing nature of digital RMB reduces the willingness of individuals and enterprises to hold it, as it lacks the value appreciation feature that traditional bank accounts offer [2] - The disconnection between digital RMB and the banking account system complicates user experience, hindering its potential to enhance monetary policy transmission and financial regulation [2][3] - The single-functionality of digital RMB limits its usage scenarios, as it currently only supports payment functions, unlike third-party platforms that offer diverse services [2] Group 2: Need for M1 Transition - There is a growing consensus on the necessity to transition digital RMB from M0 to M1 to address its limitations, as M1 would allow it to be recognized as a liability of commercial banks, thus integrating it into their balance sheets [4][5] - Two proposed pathways for this transition include digitizing deposits to create a seamless connection between bank accounts and digital wallets, and introducing a new savings form that allows funds to be transferred to digital wallets while still being counted as bank liabilities [4][5] Group 3: Enhancing Bank Incentives - The current 100% reserve requirement for digital RMB limits banks' ability to profit from traditional lending spreads, reducing their motivation to promote digital RMB [6] - Experts suggest regulatory reforms to unify technical standards, lower development costs for banks, and allow digital RMB to be classified as a bank liability to enable lending and interest income [6][7] - Banks are encouraged to view digital RMB as an opportunity for customer acquisition and service development, creating high-frequency payment scenarios and leveraging transaction data for targeted marketing and risk management [7]