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ARIMA Forecasts of Cassava Production Indicators and its Implication for Future Food Supply in Nigeria

Cilt: 7 Sayı: 1 28 Haziran 2021
Edamisan Stephen Ikuemonısan *, Adeyose Emmanuel Akınbola
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ARIMA Forecasts of Cassava Production Indicators and its Implication for Future Food Supply in Nigeria

Abstract

The increasing trend in the cases of armed conflicts and insecurity in Nigeria could have had some devastating effects on the production of cassava and food supply in Nigeria. Therefore, in this perspective, the historical series (1961-2018) was modeled and forecasts of a 7-year period (2019-2025) of some selected cassava production indicators in Nigeria were made. The ARMA/ARIMA forecasts were made from the selected series. ARIMA (5,1,0). ARMA (1,1) and ARIMA (1,1,3) were selected to fit production series, yield series, and harvested area series in that order. Findings showed that output and yield indicators would increase in a slothful manner during the forecast period with an average of 60 million tonnes and 10 tonnes/ha respectively. The trajectory of the area of land that would be cultivated in this period shows farmers would still be adopting more extensive production patterns by expanding the area cultivated instead of cultivating more performing cassava cultivars. The implication of this on food availability was explored under two scenarios: only 84% of total cassava output would be available for consumption; and that 29% of the 84% would be lost during post-harvest activities. In view of the importance of cassava, this study recommends that farmers should plant improved cultivars.

Keywords

Cassava , ARIMA , Insecurity , Production indicators , Food supply

Kaynakça

  1. Adedeji, O. (2019). Transforming cassava wastes to wealth as a climate-change mitigation strategy in Nigeria. Blog Post: CTA. https://cgspace.cgiar.org/handle/10568/103552
  2. Adelaja, A., and George, J. (2019). Effects of conflict on agriculture: evidence from the boko haram insurgency. World Development, 117, 184-195.
  3. Amodu, M.O., Amodu, M.F., Bimba, J.S., and Bolori, M.T. (2017). Assessment of occupational hazards and health problems among female farmers in North-Eastern Nigeria. Arid Zone Journal of Engineering, Technology and Environment, 13(2), 209-218.
  4. Ammani, A.A. (2015). Trend analysis of maize production and productivity in Nigeria. Journal of Basic and Applied Research International, 2(3), 95-103.
  5. Arias, M.A., Ibáñez, A.M, and Zambrano, A.. 2018. Agricultural production amid conflict: separating the effects of conflict into shocks and uncertainty. World Development (Forthcoming). https://doi.org/10.1016/j.worlddev.2017.11.011.
  6. Asumugha, G.N., Tarawali, G., and Dixon, A.G.O. (2010). Farmers access to agricultural inputs and services in Nigeria. 10th ISTRC-AB Symposium (88-99). Mozambique:
  7. Badmus, M.A., and Ariyo, O.S. (2011). Forecasting cultivated areas and production of maize in Nigerian using ARIMA model. Asian Journal of Agricultural Sciences, 3(3), 171-176.
  8. Bellemare, M.F. (2015). Rising food prices, food price volatility, and social unrest. American Journal of Agricultural Economics, 97 (1), 1–21.
  9. Bloom, J. (2015). What are food losses and waste? http://www.fao.org/3/i4655e/i4655e.pdf
  10. Box, G.E.P., & Jenkins, G.M. (1976). Time Series Analysis: Forecasting and Control. USA:Wiley.

Kaynak Göster

APA
Ikuemonısan, E. S., & Akınbola, A. E. (2021). ARIMA Forecasts of Cassava Production Indicators and its Implication for Future Food Supply in Nigeria. Tarım Ekonomisi Araştırmaları Dergisi, 7(1), 14-30. https://izlik.org/JA69EC95XR