Who controls the controller? A dynamical model of corruption

IF 1.3 4区 社会学 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Journal of Mathematical Sociology Pub Date : 2017-10-02 DOI:10.1080/0022250X.2017.1388235
E. Accinelli, Filipe Martins, J. Oviedo, A. Pinto, L. Quintas
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引用次数: 10

Abstract

ABSTRACT The aim of this article is to give at least a partial answer to the question made in the title. Several works analyze the evolution of the corruption in different societies. Most of such papers show the necessity of several controls displayed by a central authority to deter the expansion of the corruption. However there is not much literature that addresses the issue of who controls the controller. This article aims to approach an answer to this question. Indeed, as it is well known, in democratic societies an important role should be played by citizens. We show that politically active citizens can prevent the spread of corruption. More precisely, we introduce a game between government and officials where both can choose between a corrupt or honest behavior. Citizens have a political influence that results in the prospects of a corrupt and a non-corrupt government be re-elected or not. This results in an index of intolerance to corruption. We build an evolutionary version of the game by means of the replicator dynamics and we analyze and fully characterize the possible trajectories of the system according to the index of intolerance to corruption and other relevant quantities of the model.
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谁控制控制器?腐败的动态模型
本文的目的是至少部分回答标题中提出的问题。有几部作品分析了腐败在不同社会中的演变。大多数此类论文表明,中央当局必须采取多种控制措施,以阻止腐败的扩大。然而,没有多少文献解决谁控制控制器的问题。本文旨在探讨这个问题的答案。事实上,正如众所周知的那样,在民主社会中,公民应该发挥重要作用。我们表明,积极参与政治的公民可以防止腐败的蔓延。更准确地说,我们在政府和官员之间引入了一种博弈,双方都可以在腐败行为和诚实行为之间做出选择。公民的政治影响力决定了一个腐败的政府和一个不腐败的政府能否连任。这就产生了对腐败的不容忍指数。我们利用复制因子动力学建立了一个进化版本的博弈,并根据模型的腐败不容忍指数和其他相关量分析和充分表征了系统的可能轨迹。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Mathematical Sociology
Journal of Mathematical Sociology 数学-数学跨学科应用
CiteScore
2.90
自引率
10.00%
发文量
5
审稿时长
>12 weeks
期刊介绍: The goal of the Journal of Mathematical Sociology is to publish models and mathematical techniques that would likely be useful to professional sociologists. The Journal also welcomes papers of mutual interest to social scientists and other social and behavioral scientists, as well as papers by non-social scientists that may encourage fruitful connections between sociology and other disciplines. Reviews of new or developing areas of mathematics and mathematical modeling that may have significant applications in sociology will also be considered. The Journal of Mathematical Sociology is published in association with the International Network for Social Network Analysis, the Japanese Association for Mathematical Sociology, the Mathematical Sociology Section of the American Sociological Association, and the Methodology Section of the American Sociological Association.
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