Hostname: page-component-74656f9884-6grmk Total loading time: 0 Render date: 2026-11-05T05:35:01.771Z Has data issue: false hasContentIssue false

Pricing Trust: How Privacy Shapes the Demand for Central Bank Digital Currencies

Published online by Cambridge University Press:  31 July 2026

Ammar Zafar*
Affiliation:
University of Liverpool, School of Law and Social Justice, UK
Rights & Permissions [Opens in a new window]

Abstract

Debates over central bank digital currencies (CBDCs) often emphasise efficiency, innovation and anti-money laundering compliance, while neglecting privacy as a determinant of their viability. This article argues that privacy is not merely a rights-based concern but also an economic variable that shapes adoption, trust and stability. Using a law-and-economics framework, it introduces a privacy parameter, p, into user utility functions and examines how different levels of privacy affect CBDC demand, velocity, and disintermediation. The analysis engages with the behavioural limits of this model, including the privacy paradox, consumer habituation to digital surveillance and captive demand, where alternatives are scarce, and argues that legal commitment devices are needed precisely because privacy preferences are fragile and state-contingent. Through a comparative study of the EU, UK, US and China, the article maps how evolving privacy regimes, including the EU’s Digital Omnibus reform proposals and the UK’s Data (Use and Access) Act 2025, condition financial outcomes, and examines how AML/CFT obligations already subordinate data protection in practice. It concludes that privacy acts as a dual safeguard, protecting freedoms while reinforcing monetary resilience, and that safeguards must be entrenched before their absence is felt.

Information

Type
Articles
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press
Figure 0

Figure 1. Privacy parameter (p) and demand stability: the optimal corridor.(The curve shows how very low p undermines adoption through distrust, very high p undermines integrity through illicit finance, and a mid-range corridor yields the most stable outcome. The shaded green area represents the feasible corridor of stability.)

Figure 1

Table 1. Commitment devices for CBDC privacy by jurisdiction.Table 1 long description.

Figure 2

Table 2. Comparative statics of CBDC privacy scenarios (extending the stability curve in Figure 1).Table 2 long description.