第三次技术性失业浪潮

Fabio D’Orlando
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引用次数: 0

摘要

本文的目的是讨论“第三波”技术性失业的可能解决方案及其主要缺点。这一过程才刚刚开始,未来才会完全实现,但其主要的新奇之处已经广为人知,涉及机器人(和人工智能)进入生产过程。机器人不是简单地提高劳动生产率,与人类合作,而是可以完全替代劳动力,使生产商品不需要使用人力投入成为可能。这反过来又造成了技术性失业。过去的“补偿”理论认为,由于工资的降低和需求(和生产)的增加,技术性失业可以被重新吸收。但这些理论忽略了机器人。如果机器人的生产力比人类高,成本比人类低,那么由于最低工资的生存边界,降低工资可能是不够的;而且,在任何情况下,需求的增加只会决定机器人单独生产的商品的增加,而不会对人类就业产生任何影响。与此同时,由此产生的大规模失业将需要再分配政策。本文讨论了这些政策中最相关的,强调了它们的缺点和不必要的影响,并提出了一种基于Tietenberg的可交易许可方法的替代方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Third Wave of Technological Unemployment
The aim of this paper is to discuss possible solutions to the “third wave” of technological unemployment and their main drawbacks. The process has just started and will only be fully realized in the future, but its main novelty is already well known and concerns robots (and artificial intelligence) entering the production process. Robots do not simply increase labor productivity, in cooperation with humans, but can totally substitute labor, making it possible to produce commodities without the use of human input. This in turn generates technological unemployment. Past “compensation” theories have argued that technological unemployment could be reabsorbed thanks to wage reduction and demand (and production) increase. But these theories have ignored robots. If robots are more productive and less expensive than humans, wage reduction may be insufficient due to the minimum wage subsistence boundary; and, in any case, an increase in demand would only determine an increase in the production of goods by robots alone, without any impact on human employment. Meanwhile, the resulting mass unemployment will require redistributive policies. The paper discusses the most relevant among these policies, emphasizing their drawbacks and their unwanted implications, and proposes an alternative rooted in Tietenberg’s tradable permits approach.
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