Can Central Bank Digital Currency Increase Financial Inclusion? Arguments for and Against*

Abstract

Purpose: This chapter aims to present the arguments for and against central bank digital currency (CBDC) increasing financial inclusion. Financial inclusion is one of the many reasons for issuing a CBDC.

Need for the study: There is a need to offer a critical perspective on the proposed financial inclusion benefits of CBDC. This is the first paper to present arguments supporting and statement against CBDC for financial inclusion.

Method: This chapter uses discourse analysis methodology to identify the arguments about CBDC promoting financial inclusion

Findings: The arguments in support of CBDC increasing financial inclusion are that CBDCs can digitise value chains, CBDCs can improve access to digital financial services, CBDCs can help to enlarge the digital economy, CBDCs can enhance the efficiency of digital payments, CBDCs can be used offline when there is no internet coverage, and CBDCs have low transaction costs. Some criticisms are that CBDC may not prioritise financial inclusion, a high price to purchase digital devices for holding a CBDC, non-interest-bearing CBDCs, the strong preference for cash over digital currency, the burdensome identification and regulatory requirements, and the imposition of transaction costs.

Implications: Overall, the arguments presented in this chapter show that there is still disagreement over whether a central bank’s digital currency can increase financial inclusion. Nevertheless, in the light of recent events, many central banks are determined to issue a CBDC for many reasons. Even though CBDCs do not achieve the intended financial inclusion objective, at least the other goals for publishing a CBDC will be performed, such as a significant reduction in cash management costs and the effective conduct of monetary policy.

Citation

Ozili, P.K. (2022), "Can Central Bank Digital Currency Increase Financial Inclusion? Arguments for and Against*", Sood, K., Balusamy, B., Grima, S. and Marano, P. (Ed.) Big Data Analytics in the Insurance Market (Emerald Studies in Finance, Insurance, and Risk Management), Emerald Publishing Limited, Leeds, pp. 241-249. https://doi.org/10.1108/978-1-80262-637-720221013