Article Sidebar
Published:
Aug 31, 2025Keywords:
Article Details
This work is licensed under a Creative Commons Attribution 4.0 International License.
NAJ supports free online communication and exchange of knowledge as the most effective way of ensuring that the fruits of research and development practice are made widely available. It is therefore committed to open access, which, for authors, enables the widest possible dissemination of their findings and, for readers, increases their ability to discover pertinent information. The Journal adopts and uses the CC: BY license and is open access. This license lets others distribute, remix, adapt, and build upon your work, even commercially, as long as they credit you for the original creation. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the Journal’s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work. Copyright for articles published in this Journal is retained by the Journal.
Main Article Content
Trends and Determinants of Agribusiness Performance in Nigeria: Evidence from Agricultural GDP (1980–2022)
Abstract
The study assessed the trends and determinants of agribusiness performance in Nigeria. The main objective of the study was to assess the trends of Agribusiness performance and analyze the determinants of Agribusiness performance in Nigeria. The study employed time series data sourced from the United States Development Agency (USDA), Food and Agriculture Organization (FAO), Central Bank of Nigeria (CBN) Statistical Bulletin, and Nigeria Bureau of Statistics (NBS). Data were analyzed using descriptive statistics and econometric methods. The unit root test, co-integration test, and error correction model were also conducted to validate the data. The results of the analysis showed that cultivated land area (CLA), government expenditure in the agricultural sector (GEAS), agricultural credit guarantee scheme fund (ACGSF), and agricultural foreign direct investment (AFDI) positively influenced agribusiness performance in the long run, while labour force (LAB) influenced it negatively in the long run. In the short run, GEAS, ACGSF, EXR, LAB, and INR were the statistically significant determinants of agribusiness performance in Nigeria. The study concluded that agribusiness finance positively impacts agribusiness performance in Nigeria. The study recommended that the federal government should collaborate with commercial banks to increase credit allocation to the agricultural sector through lower interest rates, reduced collateral requirements, and targeted loan schemes to support farmers and agribusiness investors.
