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Using a Whole-farm modelling approach to assess changes in farming systems in Benin

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Forum for Agriculture Research in Africa (FARA)
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Farmers will adopt new agricultural technologies and other policy instruments if they fit into their resource endowments, objectives, goals, and risk aversion strategies. This study examines the effects of high-yielding maize varieties and the use of machineries on the production, income, crop mixtures, and demand for production resources in two farms and farm household typologies in the northern cotton growing belt of Benin Republic. The role of whole-farm modelling in agricultural technology and policy instruments evaluation is discussed. Data on high yielding maize varieties and machinery use in production activities were collected from the data repository of the National Agriculture Research Institute of Benin (INRAB), Universities in Benin and relevant literature. The secondary dataset on farms and farm households were subjected to the Target MOTAD models, constructed for Type 1 and type 3 households. The models were run with and without the high-yielding maize varieties
and the machinery (tractor). Results indicate that the introduction of new varieties, machineries raised and farm household income in the two typologies had varying effects on land allocation for the crops.