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Maize Output Supply Response to Climatic and Other Input Variables in Ethiopia

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  • Tirfi, Abera Gayesa
  • Oyekale, Abayomi Samuel

Abstract

Climate change is among the major challenges to sustainable agricultural production in Ethiopia. Production of cereal crops, especially maize, is very responsive to changes in rainfall and temperature, as climatic parameters influencing productivity. This paper analyzes how climatic and other variables affect the supply of maize in Ethiopia. The data were obtained from secondary sources and cover the period 1981–2018. Data were analyzed using the Autoregressive Distributed Lag (ARDL) approach. The Akaike Information Criterion (AIC), Schwarz Information Criterion (SIC), and Hannan-Quinn Information Criterion (HQ) were used to select the optimum number of lags. In order to detect whether unit root is present in the series, Augmented Dickey-Fuller (ADF) and Philips-Perron (PP) tests were carried out. The presence of long-run equilibrium was found between maize output and temperature, rainfall, and other included variables. The results show that, in both the long and shortrun, all included climatic variables had a negative relationship with maize output supply, although temperature showed statistical insignificance (P>0.10). The result showed that maize crops are highly sensitive to extremes of rainfall – both shortage in the initial growing period and excessin the vegetative and fruiting stages. It was concluded that farmers face climate-related risk due to variations, particularly in rainfall. Therefore, farmers should adapt by using short-duration and climate-tolerant varieties of maize, along with engagement with eco-friendly production systems.

Suggested Citation

  • Tirfi, Abera Gayesa & Oyekale, Abayomi Samuel, 2021. "Maize Output Supply Response to Climatic and Other Input Variables in Ethiopia," Asian Journal of Agriculture and Rural Development, Asian Economic and Social Society (AESS), vol. 11(04), January.
    • Handle: RePEc:ags:ajosrd:342344
    DOI: 10.22004/ag.econ.342344
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    References listed on IDEAS

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    1. Jarita Duasa, 2007. "Determinants of Malaysian Trade Balance: An ARDL Bound Testing Approach," Global Economic Review, Taylor & Francis Journals, vol. 36(1), pages 89-102.
    2. Heij, Christiaan & de Boer, Paul & Franses, Philip Hans & Kloek, Teun & van Dijk, Herman K., 2004. "Econometric Methods with Applications in Business and Economics," OUP Catalogue, Oxford University Press, number 9780199268016.
    3. Hatanaka, Michio, 1996. "Time-Series-Based Econometrics: Unit Roots and Co-integrations," OUP Catalogue, Oxford University Press, number 9780198773535.
    4. Uwe Hassler & Jürgen Wolters, 2006. "Autoregressive distributed lag models and cointegration," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 90(1), pages 59-74, March.
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