This study employs Monte Carlo simulation techniques to model and analyze potential conflict scenarios in the South China Sea over a projected 10-year period. By incorporating key variables such as military spending, economic growth, territorial claims, and diplomatic relations, alongside novel factors inspired by world-systems theory, we explore the complex dynamics of regional tensions. Our model, grounded in neo-realist and world-systems theoretical frameworks, runs 1000 simulations to generate a comprehensive dataset of potential outcomes. Key findings include an average conflict probability of 11.2% across all simulations, with 39.2% of simulations resulting in no conflict over the entire period. The simulation reveals a gradual increase in regional tensions over time, with the median tension index rising from 0.6 to 0.8 over the 10-year span. Partial Dependence Plot analysis highlights the critical roles of military spending, territorial claims, and overall tension index in determining conflict probability. The study also provides insights into the frequency and impact of various geopolitical events on regional stability. This research offers a quantitative framework for assessing geopolitical risk in the strategically vital South China Sea region. Our findings provide valuable insights for policymakers and scholars, contributing to both the theoretical understanding of complex geopolitical disputes and practical efforts to maintain peace and stability in this crucial area.

This is my first introduction.

Mapa do piauí cointer

Esse é o mapa 1 do curso de Georeferenciamento de dados utilizado o pacote GEOBR no R