Journal of Community Mobilization and Sustainable Development

Farmer producer organizations (FPOs) are the present and future generation institutional innovations focusing on all round development of farmers as well as farm enterprises. This is going to act as single channel delivery system of farm based services. FPO provides a new platform for engaging a new era of group dynamics among farmers as well assessment of the socio-ecological needs of the farming community. The present study was conducted in 2 farmer producer organizations (FPOs) from Ranpur block of Nayagarh district of Odisha. Hundred (100) respondents in total were selected from two FPOs, fifty (50) from each FPO to conduct the study following snowball sampling method. The data were collected through pilot survey and structured interview. The statistical tools used for data analysis are Correlation coefficient, Stepwise regression analysis, Canonical covariate analysis and Factor analysis. The correlation coefficients suggest that younger respondents are accessing higher and localite information sources. At the same time respondents having higher education (x₂), more no. of enterprises (x₃), more year of enterprises (x₄), higher training exposure (x₅), higher family size (x₆), more number of material possessed (x₈), larger size of holding (x₉), higher size of cultivable land (x₁₁), more land under irrigation (x₁₂) and more number of fragments (x₁₃) have also been linked to higher access and utilization of localite information. Regression results found that 24 causal variables together have contributed 71.00 per cent of variance in consequent variable Entrepreneurial information received from localite sources (y). No. of male workers (x₂₂), marketed surplus (x₂₀), number of enterprises (x₃) size of land under irrigation (x₁₂) and crop yield (x₁₄), has been retained in the last step of step down regression that means these are the most important causal variables which affect the consequent variable. The results of path analysis envies that the variable size of cultivated land (x₁₁) have got highest indirect effect on y.