Bayesian Network Analysis of Policing Governance: Implications for Mining and Regional Sustainability

The real-world effects of mining issues are closely tied to the inadequate enforcement efforts by relevant institutions, which could undermine the credibility of law enforcement agencies and affect regional performance. This study focused on assessing police performance in relation to mining activities in Indonesia. By employing a Bayesian network, it examined the complex relationships between economic, institutional, and social factors of policing governance and their impact on regional sustainability, with competitiveness as a key variable. The study used the regional policing governance index and mining permits as intervention variables, while considering social security, profitability, and corruption levels as intermediate variables. Results revealed that the ease or stringency of mining permits and the policing index significantly affect regional competitiveness. A sensitivity analysis was conducted to identify the most influential factors in regional competitiveness. It showed that corruption, the policing index, and social security are the most sensitive factors. The findings offer valuable insights for improving resource governance to foster sustainable regional development.