Dynamic Interconnections between Corruption and Economic Growth
Abstract
This study explores the dynamic relationship between corruption and economic growth through an approach based on a system of stochastic equations. In the context of globalization and economic interdependencies, corruption not only affects investment and distorts markets, but it can also, under certain conditions, temporarily boost economic activity. Using data from the Gross Domestic Product (GDP) and the Corruption Perception Index (CPI), we implement a time-series-based model to capture the interactions between these two variables. Through a coupled vector autoregressive equations system, our model identifies patterns of interdependence between economic fluctuations and perceptions of corruption at a global level. Employing graph theory and Granger causality, we build a network of interconnections that illustrates how corruption dynamics in one country can influence economic growth and corruption perception in others. The results provide a robust tool for analyzing international political-economic relationships and can serve as a basis for designing policies that promote transparency and sustainable development.
Cite
@article{arxiv.2410.08132,
title = {Dynamic Interconnections between Corruption and Economic Growth},
author = {Macavilca Tello Bartolome and Kevin Fernandez and Oscar Cutipa-Luque and Yhon Tiahuallpa and Helder Rojas},
journal= {arXiv preprint arXiv:2410.08132},
year = {2026}
}
Comments
We decided to withdraw the current version of the manuscript to improve its structure, clarify some arguments, and incorporate additional results. A revised version will be submitted soon