Employing The Ordinary Least Square (Ols) Technique To Assess The Effect Of Weather Parameters On Rice Cultivation In Sierra Leone
Volume 5 - Issue 11, November 2022 Edition
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Author(s)
Alhaji Mohamed Hamza Conteh, Brima Gebge , Sanpha Kallon
Keywords
Planting Area Deviation, Rice Cultivation, Weather Input.
Abstract
The importance of the effect of weather to rice cultivation in the emerging nations is of vital insofar as the agricultural sub sector is involved. Currently, the association between weather and rice cultivation continues to create further attention in Sierra Leone agricultural growth. The increase in population and revenue in emerging nations carters for additional food request, although, the supply aspect is not enough to equalise the demand side. This research work assessed the effects of weather inputs on rice cultivation regarding planting area deviations in Sierra Leone. The authors employed weather time series data comprising sunshine, rainfall, minimum and maximum temperatures, as well as data from 1985 to 2021. To test for stationarity properties in the data, the Augment Dickey-Fuller (ADF) technique was used. Furthermore, all the series showed to unveil a long run association by Johansen Cointegration method at first levels I with the likelihood of taking the linear combination. The regression results shown that an increase in unit rainfall besides the usual moisture needed decrease the mean rice cultivation by 14.3 %. Though by stepwise regression method, other metrological parameters including sunshine, means of minimum and maximum temperature had lesser significance on rice cultivation. Predominantly, an increase in unit in the area planted was discovered to increase rice cultivation by 54.37 %.
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