Can the African food supply model learn from the Asian food supply model? Quantification with statistical methods

Epule, Epule Terence; Peng, Changhui; Lepage, Laurent; Nguh, Balgah Sounders; Mafany, Ndiva Mongoh

Can the African food supply model learn from the Asian food supply model? Quantification with statistical methods

2012

Epule, Epule Terence | Peng, Changhui | Lepage, Laurent | Nguh, Balgah Sounders | Mafany, Ndiva Mongoh

This study seeks to verify the relationship or correlation between food supply and four variables that are fertilizers, machinery, permanent cropland and permanent pasture land in Africa and Asia. The data were obtained from FAOSTATS and the World Resource Institute. The data were analyzed using the SPSS version 19. Pearson’s correlation statistical tool and the multiple linear regression methods were then used within the SPSS interface to analyze the data. The results show that the levels of fertilizer application and machinery use are more significant in affecting food supply in Asia than in Africa with respect to the four variables. In Africa, permanent cropland is of greater significance when food supply is concerned with respect to these four variables. The likely trend is for Africa to enact policies that will encourage investments in machines and organic fertilizers to be able to improve its food production and supply rather than merely increasing farm sizes.

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