MODELING THE CONTRIBUTION OF AGRICULTURAL ECONOMIC INDICATORS ON GROSS DOMESTIC PRODUCT (GDP) IN NIGERIA.
Abstract
This study examined the impact of agricultural economic indicators on Nigeria’s Gross Domestic Product (GDP) between 2000 and 2020. Using secondary data from the World Bank (via Kaggle) and applying multiple linear regression, the study evaluated the effects of crop production, livestock production, fisheries output, agricultural land use, agricultural value added, and climatic variables (rainfall, temperature, and relative humidity) on GDP. Results show that agricultural value added and fisheries production significantly and positively influence GDP, while crop and livestock indices contribute positively but not significantly, due largely to multicollinearity. The regression model achieved an adjusted R² of 0.97, indicating strong explanatory power. The findings underscored the growing role of fisheries and the importance of efficient agricultural value chains in supporting national income. The study recommended targeted investment in aquaculture, crop and livestock systems, and climate-smart practices to strengthen agriculture’s role in Nigeria’s sustainable economic growth.
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