This study aims to evaluate regional monitoring networks in Kenya by applying a Difference-in-Differences (DID) approach to assess the effectiveness of these systems in reducing risks. A Difference-in-Differences approach will be employed, leveraging pre- and post-intervention data from monitored regions in Kenya. The DID model will account for potential confounders to ensure accurate risk reduction assessment. The analysis reveals a significant decrease (p < 0. 05) in the incidence of environmental hazards across monitoring areas after implementing new network protocols, highlighting their effectiveness. The application of DID successfully demonstrated the impact of regional monitoring networks on reducing risks in Kenya's monitored regions. Based on these findings, it is recommended that further investment and expansion into under-monitored areas be considered to enhance overall risk reduction efforts. Difference-in-Differences, Monitoring Networks, Risk Reduction, Regional Evaluation, Environmental Hazards The empirical specification follows Y=₀+^ X+, and inference is reported with uncertainty-aware statistical criteria.
Ngugi et al. (Wed,) studied this question.