Book of Extended summaries ISDA
Book of Extended summaries ISDA Book of Extended summaries ISDA
International Conference on Reimagining Rainfed Agro-ecosystems: Challenges & Opportunities during 22-24, December 2022 at ICAR-CRIDA, Hyderabad Upliftment Corpus (PRODUCE) Fund through NABARD. As a result of such national initiatives, 7374 FPCs have been registered till March 2019 (Neti et al., 2019). Though the first FPC in Kerala, IOFPCL was registered in 2004, the idea gained momentum in the state only 2013 onwards. The growth trend, which could be attributed to the support of NABARD grants indicated maximum registration in the year 2016. But the registrations reduced to zero in the terminal year of the NABARD project, 2018. However, a consistent increase in FPC registrations from 2019 could be noted and with the advent of new policy regime announced in Union budget which is expected to grow further (GOI, 2019). Even though there was a steady increase the FPCs, which acts as an effective linkage between farm production and the market, FPCs face many constraints in its formation, functioning, and service delivery. This is evident from the reports that many registered producer companies could not continue their operations due to technological, marketing, and policy constraints (Thamban et al., 2020). In this context it is important to understand the interrelations and influence of organisational attributes such as turnover, membership, age of FPC, infrastructure, and machinery which are represented by nominal categorical data sets. Methodology A total of 30 FPOs that were in operation for at least two years from the date of registration were selected randomly from all the 14 districts of Kerala. The number of FPCs selected from a district was decided proportionate to the number of FPCs registered in the district. A quantitative survey design was employed in data collection. A pretested structured interview schedule prepared based on expert discussions and literature review was used in the research. Due to the Covid-19 pandemic and enforcement of COVID protocols and restrictions, prefixed telephonic interviews and video calls were also used for data collection in unavoidable circumstances. Multi Coordinate Analysis was used in the study as a statistical visualisation tool for visualising the relationship between organisational attributed represented by categorical variable levels. This method could evaluate two-way and multi-way data. The visualisation of the associations was done using the biplots obtained as result of plotting the first two components contributing the maximum variance. Categories of variables evaluated using MCA Variable Category 1 Category 2 Age of FPC Mature Nascent Turnover High Low Membership High Low Machinery More Less Infrastructure Good Poor Performance Good Poor 859 | Page Institutional and policy innovations for accelerated and enhanced impacts
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 860 | Page
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International Conference on Reimagining Rainfed Agro-ecosystems: Challenges &<br />
Opportunities during 22-24, December 2022 at ICAR-CRIDA, Hyderabad<br />
Upliftment Corpus (PRODUCE) Fund through NABARD. As a result <strong>of</strong> such national<br />
initiatives, 7374 FPCs have been registered till March 2019 (Neti et al., 2019). Though the first<br />
FPC in Kerala, IOFPCL was registered in 2004, the idea gained momentum in the state only<br />
2013 onwards. The growth trend, which could be attributed to the support <strong>of</strong> NABARD grants<br />
indicated maximum registration in the year 2016. But the registrations reduced to zero in the<br />
terminal year <strong>of</strong> the NABARD project, 2018. However, a consistent increase in FPC<br />
registrations from 2019 could be noted and with the advent <strong>of</strong> new policy regime announced<br />
in Union budget which is expected to grow further (GOI, 2019).<br />
Even though there was a steady increase the FPCs, which acts as an effective linkage between<br />
farm production and the market, FPCs face many constraints in its formation, functioning, and<br />
service delivery. This is evident from the reports that many registered producer companies<br />
could not continue their operations due to technological, marketing, and policy constraints<br />
(Thamban et al., 2020). In this context it is important to understand the interrelations and<br />
influence <strong>of</strong> organisational attributes such as turnover, membership, age <strong>of</strong> FPC, infrastructure,<br />
and machinery which are represented by nominal categorical data sets.<br />
Methodology<br />
A total <strong>of</strong> 30 FPOs that were in operation for at least two years from the date <strong>of</strong> registration<br />
were selected randomly from all the 14 districts <strong>of</strong> Kerala. The number <strong>of</strong> FPCs selected from<br />
a district was decided proportionate to the number <strong>of</strong> FPCs registered in the district. A<br />
quantitative survey design was employed in data collection. A pretested structured interview<br />
schedule prepared based on expert discussions and literature review was used in the research.<br />
Due to the Covid-19 pandemic and enforcement <strong>of</strong> COVID protocols and restrictions, prefixed<br />
telephonic interviews and video calls were also used for data collection in unavoidable<br />
circumstances. Multi Coordinate Analysis was used in the study as a statistical visualisation<br />
tool for visualising the relationship between organisational attributed represented by categorical<br />
variable levels. This method could evaluate two-way and multi-way data. The visualisation <strong>of</strong><br />
the associations was done using the biplots obtained as result <strong>of</strong> plotting the first two<br />
components contributing the maximum variance.<br />
Categories <strong>of</strong> variables evaluated using MCA<br />
Variable Category 1 Category 2<br />
Age <strong>of</strong> FPC Mature Nascent<br />
Turnover High Low<br />
Membership High Low<br />
Machinery More Less<br />
Infrastructure Good Poor<br />
Performance Good Poor<br />
859 | Page Institutional and policy innovations for accelerated and enhanced impacts