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Taxation of robots – what would have been the view of Smith and Marx on it?
Purpose The purpose of this paper is to approach the issue of taxation of robotic process automation (RPA) through an interpretive lens provided by both Adam Smith and Karl Marx. Both scholars have affected the understanding and attitudes of generations of economists, and their ideas have considerab...
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Published in: | International journal of social economics 2020-01, Vol.47 (1), p.41-53 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Purpose
The purpose of this paper is to approach the issue of taxation of robotic process automation (RPA) through an interpretive lens provided by both Adam Smith and Karl Marx. Both scholars have affected the understanding and attitudes of generations of economists, and their ideas have considerable influenced modern economic policy. It will be argued that Smith and Marx have much to offer to help contemporary economists understand the taxation of RPA, and their writings on machines, automation, and their impact on the human labor force will be discussed from their primary texts.
Design/methodology/approach
The paper interprets the works of Marx and Smith in relation to contemporary debates on automation, particularly, proposals to tax technological innovations to offset the social costs of automation’s displacement effects.
Findings
In the case of Adam Smith, there is not enough evidence to suggest that he would support a specific taxation of RPA; however, he very well might agree with a modest taxation of capital goods. Marx would very likely support a taxation in the short-run, however, would be inclined to caution that the ownership of robots should in the long run be transferred to society.
Originality/value
This paper uses primary texts from the discipline of history of economic thought to spark a discussion about compensating the externalities of technological innovation. |
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ISSN: | 0306-8293 1758-6712 |
DOI: | 10.1108/IJSE-11-2018-0603 |