符号经济学的三个案例研究

IF 1.4 Q3 ECONOMICS
S. Kampakis
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引用次数: 4

摘要

区块链技术促进了基于代币和加密货币的人工经济的创建。这些人工经济在许多方面与实体经济不同。它们更狭隘地专注于提供少数(有时只有一种)商品或服务。代币经济的结构有很大的灵活性,因为区块链技术允许开发智能合约来控制在任何任意条件下发行或燃烧代币。此外,还有其他类型的外生风险,例如新的监管规定,以及对交易所的投机或黑客攻击。这意味着,经济学中适用的许多工具、理论和方法不适用于代币经济。符号经济学家有时需要针对每个个案提出新的模型和工具。由于符号经济学是一个新领域,围绕工具和方法的公开讨论非常重要,并且可以加速将转变为标准的方法的发展。本文概述了围绕符号经济学的三个不同案例研究,并讨论了每个案例中的问题是如何处理的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Three Case Studies in Tokenomics
Blockchain technology has facilitated the creation of artificial economies based on tokens and cryptocurrencies. These artificial economies can be different from the real economies in many aspects. They are more narrowly focused around the provisioning of only a few (sometimes only one) good or services. There is lots of flexibility around how the token economy is structured, since blockchain technology allows the development of smart contracts to control the issuance or burning of tokens under any arbitrary conditions. Also, there are other types of exogenous risks, such as new kinds of regulations, and speculative or hacking attacks on exchanges. This means, that many of the tools, theories and methods that apply in economics do not apply in the case of token economies. The tokenomist needs to sometimes come up with new models and tools for each individual case. Since tokenomics is a new field, the open discussion around tools and methods is extremely important, and can speed up the development of methods that will turn into standards. This article outlines three different case studies around tokenomics and discusses how the problems in each case were approached.
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