Journal of Agricultural Economics & Development
Iranian Agricultural Economics Society (IAES)

An Econometric Model-Based Projection of Nigeria’s Rice Self-Sufficiency

Document Type : Research Article-en

Authors

R.Y. Abdulsalam 1
M. N. Shamsudin 2
A. H. I. Abdul Hadi 3

1 Department of Agricultural Economics and Agribusiness. Faculty of Agriculture. Federal University Dutse, Jigawa state, Nigeria

2 Department of Agribusiness and Bioresource Economics, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia,

3 Department of Agribusiness and Bioresource Economics, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia

https://doi.org/10.22067/jead.2024.85180.1225
Abstract
Motivated by Nigeria’s persistent pursuit of rice self-sufficiency, this paper projects the country's future rice self-sufficiency levels. These projections could guide policy decisions in areas of the rice market that show potential for growth, aiding in the achievement of Nigeria's goal through improved planning strategies. Using time series data covering the period from 1980 to 2018, this study adopted an econometric technique to model Nigeria's rice market which was estimated using a dynamic Autoregressive Distributed Lag (ARDL) approach. The results revealed that paddy producer price elasticity was 0.206 and had no influence on paddy area harvested. On the other hand, the national policy of rice credit guarantee scheme variable displayed a positive relationship with paddy area harvested. Lagged yield and lagged area harvested had positive influences on yield and area harvested, respectively. This could mean that paddy producers were motivated by previous year’s yield levels and area harvested. The demand own-price elasticity of rice was -0.321 and its cross-price elasticity was 0.193, with wheat revealed to be a substitute. The obtained elasticities were then used to make a ten-year projection. Results suggested that by 2028, increasing rice production relative to dwindling imports will boost rice self-sufficiency level to 71%. However, the average yearly rice self-sufficiency level was 53%, requiring 3.85 million Mt of rice imports. The projections revealed that Nigeria will not achieve rice self-sufficiency by 2028 unless intensive yield enhancing policy-supporting efforts are pursued.

Keywords

Autoregressive distributed lag
Elasticities
Projection
Rice
Self-sufficiency
Subjects

©2024 The author(s). This is an open access article distributed under Creative Commons Attribution 4.0 International License (CC BY 4.0).
  1. Ayinde, O.E., & Bessler, D.A. (2014). Analysis of supply response and price risk on rice production in Nigeria. Selected Paper prepared for presentation at the Agricultural & Applied Economics Association’s 2014 AAEA Annual meeting, Minneapolis MN. July 27-29, 2014. (No. 329-2016-12951). https://doi.org/10.22004/ag.econ.170347
  2. Boansi, D. (2014). Yield response of rice in Nigeria: A co-integration analysis. American Journal of Agriculture and Forestry, 2(2), 15-24. https://doi.org/10.11648/j.ajaf.20140202.11
  3. Food and Agriculture Organisation Statistics (FAO) Food Price Monitoring and Analysis (FPMA) Tool. https://fpma.fao.org/giews/fpmat4/#/dashboard/tool/domestic
  4. Food and Agriculture Organisation Statistics (FAOSTAT). Online database. https://www.fao.org/faostat/en/#data/OA
  5. Food and Agriculture Organisation Statistics (FAOSTAT). Online database. https://www.fao.org/faostat/en/#data/FBS
  6. Gloria-pelicano, E., & Prantilla, E.D. (2013). A study on rice self-sufficiency in Mindanao. Paper presented at the Philippine Agricultural Economics and Development. Biennial Convention, 2013.
  7. Granger, C.W., & Newbold, P. (1974). Spurious regressions in econometrics. Journal of Econometrics, 2(2), 111-120.
  8. Hudoyo, A., Haryono, D., & Nurmayasari, I. (2016). Analysis for self-sufficiency of rice in Indonesia: forecast of its production and consumption. The USR international Seminar on Food Security (UISFS). Bandar Lampung, Indonesia, August 23–24, 2016. https://repository.lppm.unila.ac.id/id/eprint/6347
  9. IndexMundi Online database. Nigeria -Urban population growth. https://www.indexmundi.com/facts/nigeria/urban-population-growth
  10. International Rice Research Institute (IRRI). Online Resource. http://ricestat.irri.org:8080/wrsv3/entrypoint.htm
  11. Kholikova, R.S. (2020). Multifactor econometric modelling and forecasting of cotton fibre production in Uzbekistan. Economics and Innovative Technologies, 2(3), 1-10. https://uzjournals.edu.uz/iqtisodiyot/vol2020/iss2/3
  12. Klynveld Peat Marwick Goerdeler (KPMG) (2019). Rice industry review October 2019. https://kpmg.com/ng/en/home/insights/2019/10/rice-industry-review.html
  13. Kurnia, L.A., & Iskandar, D.D. (2019). Determinants self sufficiency of rice in supporting food independence. Ekuilibrium: Jurnal Ilmiah Bidang Ilmu Ekonomi, 14(2), 152-166. https://doi.org/10.24269/ekuilibrium.v14i2.1647
  14. Labys, W.C. (1973). Dynamic commodity models: Specification, estimation, and simulation. Lexington Books Lexington.
  15. Labys, W.C. (2003, October 29-30). New directions in the modeling and forecasting of commodity markets. Mondes en Développement. The Conference on Primary Commodities and Development, Groupe d’Analyse des Marchés de Matières Premières, Université Pierre Mendès-France, Grenoble 2. https://doi.org/10.3917/med.122.0003
  16. Makama, S.A., Ilu, I.Y., Suleiman, N.J., Isiaku, S., & Isah, M.A. (2017). Demand analysis of rice in Nigerian Journal of Agricultural Extension, 18(3): 70-75. https://orr.naerls.gov.ng/read/demand-analysis-of-rice-in-nigeria/file.pdf
  17. Narayan, P.K. (2005). The saving and investment nexus for china: Evidence from cointegration tests. Applied Economics, 37(17), 1979-1990. https://doi.org/10.1080/00036840500278103
  18. OECD/FAO. (2019). OECD-FAO Agricultural Outlook 2019-2028, OECD Publishing, Paris/Food and Agriculture Organization of the United Nations, Rome. https://doi.org/10.1787/agr_outlook-2019-en
  19. Okpe, A.E., Abu, O., & Odoemenem, I.U. (2018). Rice output response to commercial loan to agriculture in Nigeria from 1966 to 2015. International Journal of Food and Agricultural Economics, 6(4), 71-85. https://doi.org/10.22004/ag.econ.283875
  20. Pindyck, R.S., & Rubinfeld, D.L. (1998). Econometric models and economic forecasts, Fourth Edition. New York: McGraw-Hill, Inc.
  21. Seng, W.K.K., Shamsudin, M.N., Sharifuddin, J., & Mohamed, Z. (2017). Sustaining paddy self-sufficiency and land demands in Sabah, Malaysia: A structural paddy and rice econometric model analysis. International Journal of Food and Agricultural Economics, 5(1), 29-43. https://doi.org/10.22004/ag.econ.266478
  22. Shamsudin, M.N. (2008). Econometric modelling for agricultural policy analysis and forecasting: Between theory and reality. Journal of Quantitative Methods, 4(2), 1-18.
  23. Takeshima, H. (2016). Policy options for inducing a supply response. In Gyimah-Brempong, K., Johnson, M., & Takeshima, H. (Eds.), The Nigerian rice economy: Policy options for transforming production, marketing, and trade. University of Pennsylvania Press.
  24. United Nations (UN) Comtrade database. https://comtradeplus.un.org/TradeFlow
  25. United States Department of Agriculture (USDA) Production, Supply and Distribution (PSD) Online https://apps.fas.usda.gov/psdonline/
  26. Van Oort, P.A.J., Saito, K., Tanaka, A., Amovin-Assagba, E., Van Bussel, L.G.J., Van Wart, de Groot, H., van Ittersum, M.K., Cassman, K.G., & Wopereis, M.C.S. (2015). Assessment of rice self-sufficiency in 2025 in eight African countries. Global Food Security, 5, 39-49. https://doi.org/10.1016/j.gfs.2015.01.002
  27. Wang, D., Yue, C., Wei, S., & Lv, J. (2017). Performance analysis of four decomposition-ensemble models for one-day-ahead agricultural commodity futures price forecasting. Algorithms, 10(3), 1-25. https://doi.org/10.3390/a10030108
  28. World Bank Online database. https://data.worldbank.org/indicator/SP.POP.TOTL?end=2023&locations=NG&skipRedirecti on=true&start=1960&view=chart
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  • Receive Date 04 November 2023
  • Revise Date 06 April 2024
  • Accept Date 08 April 2024
  • First Publish Date 08 April 2024

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