🤖 AI Summary
This study explains how systemic political corruption can persist over extended periods without centralized coordination. By constructing a parsimonious compartmental dynamical model and integrating mean-field approximation, phase transition analysis, and stability theory, the work conceptualizes corruption as a macro-level emergent phenomenon arising from the co-evolution of political power concentration and supportive relational structures. The model demonstrates that corruption stabilizes through self-reinforcing mechanisms into a collective state and identifies a critical threshold of interaction strength: beyond this point, the system enters a “corruption-captured” regime capable of autonomously recovering from perturbations, thereby sustaining corruption across electoral cycles. This framework transcends conventional explanatory paradigms centered on individual misconduct or institutional failure, offering a novel perspective on the systemic nature and resilience of corruption.
📝 Abstract
Political corruption is often interpreted as the result of individual misconduct or isolated institutional failures. However, persistent corruption patterns observed in real-world political systems suggest that systemic corruption may instead emerge as a self-sustaining governance arrangement supported by reinforcing interaction structures. In this work, we introduce a minimal compartmental model for the dynamics of systemic political corruption and the formation of corruption-supporting relational structures. The concentration of political power is treated as an emergent macroscopic observable arising from these coupled dynamics. Despite its simplicity and mean-field character, the model exhibits a nontrivial phase transition separating regimes of low corruption from structurally captured states sustained by self-reinforcing interaction mechanisms. The model predicts that, above a critical interaction strength, the captured state becomes dynamically stable, with small perturbations of the macroscopic variables naturally relaxing back to the stationary state. We argue that this mechanism provides a possible explanation for the persistence of corruption across successive electoral cycles and institutional crises. In particular, the political dynamics observed in the state of Rio de Janeiro, Brazil, provide a qualitative illustrative example of several mechanisms discussed by the proposed framework rather than a quantitative application of the model. More broadly, the results suggest that long-term political capture may emerge spontaneously from reinforcing interactions between systemic corruption and the relational structures that sustain it, without requiring centralized coordination or complex strategic behavior.