MULTIPLE LINEAR REGRESSION OF AGRICULTURAL PRODUCTIVITY ON THE ECONOMIC DEVELOPMENT OF NIGERIA (CROP, LIVESTOCK, FORESTRY AND FISHING PRODUCTION)
Abstract
This study investigates the impact of agricultural productivity on the economic development of Nigeria, focusing on the contributions of crop production, livestock, forestry, and fishing from 1981 to 2022.
Using secondary data sourced from the Central Bank of Nigeria (CBN), the study employed multiple linear regression and correlation analyses to determine the relationships between these agricultural sectors and Nigeria’s Gross Domestic Product (GDP). Descriptive analysis indicates that crop production has the highest mean output among the sectors but does not statistically influence GDP growth, suggesting potential inefficiencies or structural challenges.
The findings reveal that forestry and fishing significantly contribute positively to Nigeria’s economic growth, while crop production and livestock showed no significant direct impact in the regression model, although livestock was marginally significant. Strong inter-sector correlations were observed, indicating that the growth of one sector can stimulate others. The study concludes that agriculture, particularly forestry and fishing, plays a vital role in Nigeria’s economic development.
It recommends enhanced policy support, investment in agro-processing, sustainable practices, and farmer empowerment to optimize the agricultural sector's contribution to national economic growth.
Full-Text Access Notice
In accordance with the NERD Policy on promoting peer-reviewed publication, public access to the full text of a project, thesis or dissertation is restricted for three years, allowing the author and supervisors sufficient time to pursue peer-reviewed publication.
During this period, researchers with legitimate academic or research purposes may request authorisation directly from the author to enable NERD to release the indexed full texts of the work using the form below.