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Farmers’ Food: How push-pull technology translates the household income sources to food provision and diet adequacy

Author: 
Nicholas Ogot, Jimmy Pittchar, Charles Midega and Zeyaur Khan
Abstract: 

Farmers obtain their food in two most basic ways, that is, farm production and purchased foods. Purchased foods associate with certain incomes from which a farmer spends money. Income sources therefore provide a limelight to determining how household food provision is attained, especially by unveiling the extent to which they provide food and attribute to dietary diversity. Push-pull technology is the agricultural intervention put on light of this study. For over a decade, this technology that was once meant to eliminate insect infestation of cereal crops turned to be a successful food and dietary security measure by increasing production through its bumper harvests. This led to sources of income broadening from farm to non-farm income sources which have greatly enlarged the household food provision and dietary adequacy capacity. This study examined how Push-pull technology would translate the income sources into food provision and diet adequacy. It employed several methodologies to study the core of this science. The study found out that income sources majorly contributed to household food expenditures. Sale of farm products in PPT households (40, n=50) was however the greatest source of income contributing to food and diet adequacy. This income source contributed an average of Kshs. 100 to 500 per day for food by majority of PPT households (17, n=50). A chi-square test on sales of farm products provided a significance of 0.000 at P≤0.05 and proven by the symmetric measures that was tested by further chi-square statistical procedures. With all income sources connection to household dietary diversity consumption, PPT households derive its best statistics to indicate its accomplishment in dietary diversity. It is well pronounced in all food groups (A to L). Correlation computed gave a 2-tailed significance of 0.000 at P≤0.05 and a Pearson correlation significance of -0.489 when determining if PPT had a statistical comparison to HDDS. This study concluded that Push-pull technology have an aided income system which translates to food provision and dietary adequacy far much better than non push-pull strategy.

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