Agricultural Credit, Government Spending And Agricultural Productivity In Nigeria: An Empirical Analysis

Abstract

This study examined the effects of agricultural credit and government spending on agricultural productivity in Nigeria from the first quarter of 1999 to the fourth quarter of 2023. Using secondary data obtained from the World Bank Database and the Central Bank of Nigeria Statistical Bulletin (2023), the study employed the Autoregressive Distributed Lag (ARDL) regression technique. The findings revealed that agricultural credit, climate variability, insecurity, and corruption significantly influenced agricultural output growth during the study period. The study recommends enhancing access to agricultural credit, increasing and efficiently managing government spending, implementing climate adaptation strategies, and strengthening anticorruption institutions to improve agricultural productivity.