The purpose of this study was to present empirical data about the connection between Nigeria's credit policy environment and the livestock production index. An autoregressive distributed lag (ARDL) bound test approach was utilized to determine whether co-integration among time series data was present. The main goals of this study are to determine how these policies and programs reflect performance at various time points based on the government's commitment and the farmers' integration. Nevertheless, a number of obstacles, including social, political, economic, and technical ones, limited the programs. Stability, optimal quality, efficiency, and objectivity were demonstrated by the predicted long- and short-term models. The descriptive method of gathering data from primary and secondary sources is used in this study. The results showed that while loans from agricultural credit guarantee schemes to livestock units hurt livestock production, overall commercial bank credit to the agricultural sector and domestic private sector credit both had a significant positive impact over the long term. Livestock production is severely impacted in the near term by domestic credit to the private sector, lending interest rates, and livestock loans under agricultural credit guarantee schemes. In the short term, however, livestock production benefited from the commercial banks' overall lending to the agricultural sector. The findings' implications suggest that to boost livestock production in the nation, it is necessary to lower the lending interest rate for agricultural credit, reevaluate the agricultural credit guarantee program, and expand domestic and total commercial credit to the agricultural sector. In order to increase productivity, sustainability, and resilience, this study suggests removing current policy barriers, rerouting government spending to guarantee the availability of public goods and services that benefit producers, consumers, and society at large, and promoting the development of localized agricultural policies at the state and local government levels.