AGRICULTURAL INPUT AND ECONOMIC GROWTH IN NIGERIA: AN EMPIRICAL ANALYSIS

https://doi.org/10.5281/zenodo.10670623

Authors

  • Seun Adebanjo Statistical training and consultation, Nigeria.
  • Emmanuel Banchani Canadian Observatory on Homelessness, York University, Canada .
  • Wasiu Babajide Akintunde Texas Tech University, USA.
  • Morufu Adeoye Olugbode Department of Statistics, Federal School of Statistics, Ibadan, Nigeria.

Keywords:

Agricultural input, Economic growth, Unit root, Johansen Cointegration, OLS regression model.

Abstract

Previous studies have established a substantial connection between agricultural and economic growth because of agricultural growth’s ability to attract foreign investment, enhance employment rates, alleviate hunger, and promote economic development. This study has made a unique contribution by examining the link between agricultural input and economic growth in Nigeria while considering factors such as foreign direct investment (FDI), gross national income (GNI), and inflation rate. The secondary data used in this study were collected from the World Bank development indicator from 1990 to 2022. The unit root test was applied, and the results show that the series are integrated of order 1, which eliminated the presence of unit roots that could cause erroneous findings. The Johansen co-integration shows a long-term association between agricultural input and economic growth in Nigeria. Meanwhile, the fitted OLS regression model indicates that agricultural input, foreign direct investment (FDI), and gross national income (GNI) have a positive impact on Nigeria’s economic growth, whereas the inflation rate hinders the nation’s economic growth. Thus, in response to the increasing inflation rate, it is imperative for the government to allocate significant investments toward the agricultural sector. This will lead to an increase in agricultural output, thereby promoting economic growth.

Published

2024-02-16

How to Cite

Adebanjo, S., Banchani, E., Akintunde , W. B., & Olugbode, M. A. (2024). AGRICULTURAL INPUT AND ECONOMIC GROWTH IN NIGERIA: AN EMPIRICAL ANALYSIS. International Journal of Interdisciplinary Research in Statistics, Mathematics and Engineering (IJIRSME), 11(1), 1–11. https://doi.org/10.5281/zenodo.10670623

References

Alfaro, L., & Chauvin, J. (2020). Foreign direct investment, finance, and economic development. In M. Spatareanu (Ed.), Encyclopedia of International Economics and Global Trade (pp. 231–258). World Scientific Publishing.

Al Marhubi, F. (2021). Economic Complexity and Inflation: An Empirical Analysis. Atlantic Economic Journal, 49, 259–271. https://doi.org/10.1007/s11293-021-09727-0

Central Bank of Nigeria. (2018). Central Bank of Nigeria Annual Report-2018.

Federal Ministry of Agriculture and Rural Development [FMARD]. (2011). Agricultural Transformation Agenda: We will Grow Nigeria’s Agricultural Sector. Abuja, Nigeria.

Ijirshar, V. U. (2015). The Empirical Analysis of Agricultural Exports and Economic Growth in Nigeria. Journal of Development and Agricultural Economics, 7(3), 113–122.

Kissel, R., & Poserina, J. (2017). Development of Log-Linear regression model. ScienceDirect. https://www.sciencedirect.com/topics/mathematics/log-transformation.

National Bureau of Statistics [NBS]. (2020). Consumer Price Index Report, 2020.

Odetola, T., & Etunmu, C. (2013). Contribution of Agriculture to Economic Growth in Nigeria. Paper presented at the 18th Annual Conference of the African Econometric Society (AES), Accra, Ghana.

Singh, B. K. (2017). Creating new business, economic growth and regional prosperity through microbiome-based products in the agriculture industry, 10, 224–227.

Statista. (2023). Population of Nigeria in selected years between 1950 and 2023. Retrieved from Nigeria: population 1950-2023 | Statista

United Nations Conference on Trade and Development [UNCTAD]. (2018). Power, Platforms and the Free Trade Delusion: Trade and Development Report 2018.

World Bank. (2022). Bridging the gap: Using SWIFT to rapidly monitor poverty and welfare in a time of crises. Retrieved from https://www.worldbank.org/en/news/feature/2022/01/05/bridging-the-gap-using-swift-to-rapidly-monitor-poverty-and-welfare-in-a-time-of-crises