Abstract
The variations in the mean climate variables have caused a threat to popular food crops in Nigeria in terms of production, availability, and sufficiency. Therefore, the relationship between climate change and cassava production in Southwest Nigeria spanning the period of 1980 to 2015 was critically examined in this chapter. The time series data used were analyzed using auto-regressive distributed lag (ARDL) and Granger causality test. The outcomes of ARDL model indicated a long-run cointegration relationship between the variables. Also, the result of the error correction model at one lag period confirmed the long-run dynamics between cassava production and climate change because of its appropriate negative sign and significant probability level. It illustrates that any imbalance arising from the previous years as a result of shock will approach the long-run equilibrium in the present year at the speed of about 20%, 9%, and 74% for Ogun, Ondo, and Oyo States, respectively. The results of the Granger causality test showed a bidirectional and unidirectional causality movement that runs from cassava production to climate change and vice versa in all the states. Therefore, a policy aimed at organizing and strengthening training programs on climate change awareness and coping strategies should be provided by the government to the cassava farmers in order to enhance their adaptive capacity.
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Ekundayo, B.P., Olutumise, A.I., Akinrinola, O.O. (2021). A Time Series Analysis of the Nexus Between Climate Change and Cassava Production in Southwest Nigeria. In: Leal Filho, W., Luetz, J., Ayal, D. (eds) Handbook of Climate Change Management. Springer, Cham. https://doi.org/10.1007/978-3-030-22759-3_312-1
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DOI: https://doi.org/10.1007/978-3-030-22759-3_312-1
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