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DETERMINANTS OF LEVEL OF PARTICIPATION IN CASSAVA PROCESSING: A GENDER SITUATION ANALYSES AMONG FARMERS IN IMO STATE NIGERIA
Abstract
The socioeconomic determinants of level of participation by male and female farmers in cassava processing in
Imo State Nigeria were investigated in this study. Purposive and multi-stage random sampling techniques were
used to select 240 respondents comprising 120 males and 120 females in this study. Data collection was by means
of a set of structured questionnaires. Tobit regression was used to analyze the data generated because level of
participation ranged from zero to infinity. Results obtained showed that for male respondents, the significant
regression coefficients were level of education (3.89, significant at 5.0%); household size (13.28, significant at
10.0%); farm size ((51.75 significant at 5.0%); monthly income from cassava business (0.0008 significant at
5.0%) and membership of cooperative societies (57.51 significant at 10.0% ). The same regression coefficients
were also significant for female respondents at the following levels: level of education (5.616, 5.0%); household
size (1.593, 5.0%); farm size (61.29, 5.0%); monthly income from cassava business (0.0001, 10.0%) and
membership of cooperative societies (12.61, 5.0% level). Based on these findings, level of education, household
size, farm size, monthly income from cassava business and membership of cooperative societies were the
determinants of the level of participation of the respondents in cassava processing among both groups of
respondents in the study area. The results therefore call for policies aimed to provision of free and affordable
education to enable farmer's ability to access and process information on processing innovations that will
enhance participation in processing activities. There is also need for re-distribution of land to make more land
available to farmers for increased production which is expected to enhance participation in cassava processing.
Encouraging farmers to belong to cooperatives is expected to enhance economies of scale for enhanced
production and processing of cassava.
