Abstract: This study examines the relationship between governance, corruption, and economic growth in Zambia, providing evidence-based policy insights for sustainable economic resilience. Employing a quantitative approach, it analyzes secondary data from 1995 to 2023 using the Autoregressive Distributed Lag (ARDL) bounds testing model to capture short- and long-term interactions between governance, corruption, and growth.