Abstract:

This paper employs mixed–method approach that combined insights from semi-structured interview, an agent-based model and simulation approach to analyze the cassava value chain initiative (CVCI) in Nigeria. We simulate the decision of the key players in the CVCI based on four coordinating scenario: direct sale; harvesters; agro-allied firms; and clusters. Data for the study were sourced from administered semi-structured interview on 650 respondents comprise of Small Farm Holders (SFHs), transporters, processors etc. Our results show that players’ willingness, coordination and supply reliability affect the stability of cassava production in Nigeria; and that aggregate output is essentially influence by input and quality of each player’s contributions to the CVCI; and the closer to the end point of the value chain network a player is, the higher the profit accrued to such player, thus putting the SFHs at a disadvantageous position. The simulation results show that, eliminating the middle men by establishing direct contact between the farmers and processors will aid output and increase SFHs income. It also revealed that conglomerations of SFHs to cooperative will attract higher returns to members of SFHs cooperative society.