Book of Extended summaries ISDA

International Conference on Reimagining Rainfed Agro-ecosystems: Challenges &
Opportunities during 22-24, December 2022 at ICAR-CRIDA, Hyderabad
Results
The influence of categorical variables of FPCs on performance was revealed through the MCA
analysis. The results from the column plot indicated that poor and good performances were
most distant from the origin along the horizontal axis for component 1. This corresponded well
with the relatively high contribution for these categories for component 1. Also, low turnover
and high turnover, low machinery, as well as more machinery, were on opposite sides of the
origin which indicated that the component 1 contrasted on these category values. Component
2 is represented on the vertical axis. The matured category was located far from the other
categories on one side of the vertical axis. Therefore, on component 2 matured FPCs contrasted
with other categories.
Conclusion
The association between the selected categorical pairs of variables with categories of
performance and age of the FPC was noted. The study revealed that nascent FPCs performed
better with more machinery, good infrastructure and higher turnovers. Hence for nascent FPCs,
streamlining the activities with envisaging the improvement the machinery and infrastructure
and turnover is recommended rather than membership enhancement. On contrary in order to
improve the performance of the matured FPCs membership enhancement was key.
References
Bi- plot of categorical attributes
GOI [Government of India]. 2019. Strategy Paper for promotion of 10,000 Farmer Producer
Organisations (FPOs). New Delhi: Small Farmers' Agribusiness Consortium (SFAC), p.34.
Institutional and policy innovations for accelerated and enhanced impacts
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