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具有非对称隐私的数字货币理论模型

A Theory Model of Digital Currency with Asymmetric Privacy
Management Science · 2026 · Katrin Tinn

中文摘要

本文考虑在央行数字货币(CBDC)以及更广义的数字货币设计中引入非对称隐私,以在保护支出款项隐私的同时保留收款款项数字记录带来的益处。研究表明,这一特征有助于最小化消费者、企业与融资方之间的实际扭曲,同时实现税收优化和更好的外部融资获取。从福利与效率的角度看,只要存在明显的隐私关切,保护消费者隐私就是可取的。实施非对称隐私在技术上是可行的,例如可使用零知识证明或其他隐私工具。本文已被 Lin William Cong 接受,用于数字金融虚拟专刊。补充材料:在线附录可在 https://doi.org/10.1287/mnsc.2024.06830 获取。

Abstract

This paper considers introducing asymmetric privacy in the design of central bank digital currencies (CBDC) and digital currencies more generally to preserve the privacy of money spent while keeping the benefits of digital records for money received. It is shown that this feature would help minimize real distortions between consumers, firms, and financiers while enabling tax optimization and better access to external financing. Protecting the privacy of consumers is desirable from a welfare and efficiency standpoint as long as there exist noticeable privacy concerns. Implementing asymmetric privacy is technologically feasible, using, for instance, zero-knowledge proofs or other privacy tools. This paper has been accepted by Lin William Cong for the Virtual Special Issue on Digital Finance. Supplemental Material: The online appendix is available at https://doi.org/10.1287/mnsc.2024.06830 .
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