COMPARATIVE ANALYSIS OF THE DETERMINANTS OF OUTPUT PERFORMANCE OF COOPERATIVE AND NONCOOPERATIVE WOMEN CASSAVA FARMERS IN IMO STATE, NIGERIA
AbstractThis study compared the determinants of output performance of cooperative and noncooperative women cassava farmers in Imo State, Nigeria using cross-sectional data collected from 60 cooperative and 60 noncooperative women farmers, and analysed with multiple regression analysis. The result of the multiple regression for socioeconomic characteristics of cooperative women farmers and output yielded an R2 value of 0.541which shows that the regression equation explains 54.1% of the total variation in the total output by cooperative women cassava farmers. The socioeconomic characteristics (age, extension contact, farming experience, level of education, credit accessed, household size, income, and farm size) were all significant and positively signed except age. The F-ratio which determines the overall significance of a regression is significant at the 1% level. The coefficient of multiple determinations (R2) was 0.463 for socioeconomic characteristics of noncooperative women farmers and output. This implies that 46.3% variability in output of noncooperative women cassava farmers was explained by the model. Farm size and household size were the significant variables and were positively signed. The F-ratio which determines the overall significance of a regression is significant at the 1% level. Stronger effort should be directed to the education of the non-cooperative farmers on the benefits of cooperative societies by the agricultural extension agencies.
Authors who publish with this journal agree to the following terms:
Authors grant the journal copyright
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.