Policy Implication on Effectiveness of Disaster Management Training in Armed Police Force, Nepal

Abstract

 This study investigates the influence of policy frameworks on the effectiveness of disaster management  training within the Armed Police Force (APF), Nepal. Adopting a mixed-methods design, the research integrates quantitative data from 178 trained APF personnel with qualitative insights from interviews. Advanced analytical techniques, including Structural Equation Modeling (SEM), regression analysis, t-tests and ANOVA, were employed to examine the relationships between policy and training effectiveness. The results suggest that policy plays a positive and meaningful role in improving training effectiveness (β = 0.040, p < 0.05), a finding that is further supported by regression analysis (β = 0.095, p < 0.01). Although the strength of this effect is modest, it clearly shows that well-designed policies help create a supportive environment for better training outcomes. Interestingly, the study also found no significant differences across demographic groups such as gender, age, rank, years of service and work level indicating that employees across all levels share a similar view on the effectiveness of the training .Qualitative findings reinforce quantitative results, highlighting the importance of policy coherence, continuous training mechanisms, resource adequacy and alignment with international standards. The study advances the policy–practice discourse in disaster governance by empirically validating the role of structured policy frameworks in enhancing operational readiness. The research contributes both theoretically and practically by offering evidence-based insights for policy refinement, capacity building and institutional strengthening, thereby supporting more resilient and effective disaster response systems in Nepal and comparable contexts.