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Problemy Upravleniya, 2021, Issue 1, Pages 61–68
DOI: https://doi.org/10.25728/pu.2021.1.6
(Mi pu1226)
 

This article is cited in 1 scientific paper (total in 1 paper)

Control in the socio-economic systems

Tax incentives for prosocial Voting in a Stochastic Environment

V. A. Afonkin

Moscow Institute of Physics and Technology, Dolgoprudny, Russia
References:
Abstract: Three income redistribution algorithms supporting the agents with prosocial voting are considered within the Voting in Stochastic Environment (ViSE) model of social dynamics. The first algorithm is income tax; the second one ensures that the income of each agent with the prosocial strategy is not smaller than the average income; the third one ensures that the average income of prosocial agents is not smaller than that of the entire society. The social utility of prosocial voting is analyzed. The three algorithms are compared with each other. The effectiveness of income tax depends on the environment. The second and third algorithms do not suffer from this disadvantage. However, under certain conditions, the second algorithm provides too many bonuses to prosocial agents. With any of these income redistribution algorithms, the egoists get more profit than in a society without any prosocial agents. Thus, whenever such tax schemes motivate some participants to choose the prosocial voting strategy, this will increase the expected income of all agents.
Keywords: ViSE model, altruism, voting, social dynamics, tax, prosocial behavior, pit of losses.
Received: 10.04.2019
Revised: 16.11.2020
Accepted: 16.11.2020
English version:
Control Sciences, 2021, Volume 1, Pages 53–59
DOI: https://doi.org/10.25728/cs.2021.1.6
Document Type: Article
UDC: 330-46 + 51-77
Language: Russian
Citation: V. A. Afonkin, “Tax incentives for prosocial Voting in a Stochastic Environment”, Probl. Upr., 2021, no. 1, 61–68; Control Sciences, 1 (2021), 53–59
Citation in format AMSBIB
\Bibitem{Afo21}
\by V.~A.~Afonkin
\paper Tax incentives for prosocial Voting in a Stochastic Environment
\jour Probl. Upr.
\yr 2021
\issue 1
\pages 61--68
\mathnet{http://mi.mathnet.ru/pu1226}
\crossref{https://doi.org/10.25728/pu.2021.1.6}
\transl
\jour Control Sciences
\yr 2021
\vol 1
\pages 53--59
\crossref{https://doi.org/10.25728/cs.2021.1.6}
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  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
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    Abstract page:95
    Russian version PDF:27
    English version PDF:12
    References:20
    First page:2
     
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