Comparative Analysis of the Impact of FPO on Paddy Farmers through Canonical Correlation Analysis

Authors

  • Adapa Shalini Pujitha PG Scholar, Department of Agricultural Extension Education, M.S. Swaminathan School of Agriculture, CUTM, Paralakhemundi-761211, Odisha
  • Akkamahadevi Naik Assistant Professor, Department of Agricultural Extension Education, M.S. Swaminathan School of Agriculture, CUTM, Paralakhemundi-761211, Odisha
  • Ashok Kumar Assistant Professor, Department of Agricultural Extension Education, M.S. Swaminathan School of Agriculture, CUTM, Paralakhemundi-761211, Odisha
  • Tufleuddin Biswas Assistant Professor, Department of Agricultural Economics and Statistics, M.S. Swaminathan School of Agriculture, CUTM, Paralakhemundi 761211, Odisha

DOI:

https://doi.org/10.48165/IJEE.2024.60310

Keywords:

Canonical correlation analysis, Farmers, producer organization, Knowledge, Productivity

Abstract

This study was conducted in 2023-24 in Srikakulam and Vizianagaram districts of Andhra Pradesh and examines the significant impact of Farmer Producer Organizations (FPOs) on paddy farmers’ income, productivity, and sustainability in the study area. Canonical correlation coefficients analysis was used to identify the connection between independent variables and dependent variables for FPO members and non-members. For FPO members, the maximum canonical correlation was found between the first pair of variates (0.789), with strong relations indicated by Wilks statistics and Eigen values. Key influencing factors for FPO members included scientific orientation, awareness about FPOs, social participation, and innovativeness. In contrast, for non-FPO members, educational and occupational status was significant, with the highest canonical correlation at 0.840. The findings suggest FPOs are critical in enhancing agricultural productivity and farmer well-being, providing valuable insights for policymakers and stakeholders. Addressing these key elements may lead to targeted interventions, fostering sustainable agricultural development and improving rural livelihoods. 

Downloads

Download data is not yet available.

References

Akour, I., Rahamneh, A. A. L., AlKurdi, B., Alhamad, A., Al-Makhariz, I., Alshurideh, M., & Al-Hawary, S. (2023). Using the canonical correlation analysis method to study students’ levels in face-to face and online education in Jordan. Information Sciences Letters, 12(2), 901-910.

Anand, S., Ghosh, S., & Mukherjee, A. (2023). Effectiveness of farmer producer organizations (FPOs) at different growth stages in transitioning to secondary agriculture. Indian Journal of Extension Education, 59(3), 90-96.

Avhad, S. R., Kadian, K. S., Verma, A. K., & Kale, R. B. (2015). Entrepreneurial behaviour of dairy farmers in Ahmednagar district of Maharashtra, India. Agricultural Science Digest-A Research Journal, 35(1), 56-59.

Directorate of Economics and Statistics, Department of Agriculture & Farmers Welfare. (2023). Agricultural Statistics at a Glance (2022), Ministry of Agriculture & Farmers Welfare, Economics & Statistics Division Government of India.

Divya, G., Balasubramaniam, P., Devi, M. N., & Mohanraj, V. (2023). Issues and challenges faced by small and marginal farmers during COVID-19 pandemic. Asian Journal of Agricultural Extension, Economics & Sociology, 41(9), 78-84.

Emran, M., Sudheendra, M., Sahana, S., Salimath, S. B., & Mallikarjuna, H. B. (2020). knowledge and adoption of paddy cultivation practices in Hosanagara Taluk of Shivamogga District. International Journal of Current. Microbiology and Applied Sciences, 9(9), 1666-1672.

Fukagawa, N. K., & Ziska, L. H. (2019). Rice: Importance for global nutrition. Journal of Nutritional Science and Vitaminology, 65, S2-S3.

Gomase, A. S., & Tekale, V. S. (2022). Prescriptive model of the twenty-one-point programme on retention of rural youth in agriculture. The Pharma Innovation Journal, 2(1), 13.

Gorai, S. K., Wason, M., Padaria, R. N., Rao, D. U. M., Paul, S., & Paul, R. K. (2022). Factors contributing to the stability of the farmer producer organizations: A study in West Bengal. Indian Journal of Extension Education, 58(2), 91-96.

Hakelius, K., & Hassan, H. (2016). Members’ attitude towards co operatives and their perception of agency problems. International Food and Agribusiness Management Review, 19(4), 23-36.

Jose, A. E., Jayalekshmi, G., Lade, A. H., & Karde, R. (2023). Socio psychological constructs and perceived economic variables on entrepreneurial behaviour among farmer producer organization members in Kerala: A Comprehensive Analysis. Asian Journal of

Agricultural Extension, Economics & Sociology, 41(9), 241-250. Keskin, S., & Yasar, F. (2007). Use of canonical correlation analysis for determination of relationships among several traits in

eggplant (Solanum melongena L.) under salt stress. Pakistan Journal of Botany, 39(5), 1547-1552.

Kumar, P., Manaswi, B. H., Prakash, P., Anbukkani, P., Kar, A., Jha, G. K., & Lenin, V. (2019). Impact of farmer producer organizations on organic Chili production in Telangana, India. Indian Journal of Traditional Knowledge, 19(1), 33-43.

Kumar, S., Kumar, R., Meena, P. C., & Kumar, A. (2023). Determinants of performance and constraints faced by Farmer Producer Organizations (FPOs) in India. Indian Journal of Extension Education, 59(2), 1-5.

Kumar, S., Rao, D. U. M., Thombare, P., & Kale, P. (2020). Small and marginal farmers of Indian agriculture: Prospects and extension strategies. Indian Research Journal of Extension Education, 20(1), 35-41.

Kumari, N., Malik, J. S., Arun, D. P., & Nain, M. S. (2022). Farmer Producer Organizations (FPOs) for Linking Farmer to Market, Journal of Extension Systems, 37(1), 1-6. http://doi.org/ 10.48165/jes.2022.38.1.1

Mukherjee, S. (2023, December 25). Nearly 7,600 FPOs registered, 75% govt target, boosting farm productivity. Business Standard.https://www.business-standard.com/industry/agriculture/ over-75-of-govt-s-target-to-form-10-000-fpos-reached-in-three years-123122500613_1.html.

Nain, M. S., Singh, R, Mishra, J. R., Sharma, J. P., Singh, A. K., Kumar, A., Gills, R., & Suman, R. S. (2019). Maximising farm profitability through entrepreneurship development and farmers’ innovations: feasibility analysis and action interventions. Indian Journal of Agricultural Sciences, 89(6), 1044-49. https://doi.org/ 10.56093/ijas.v89i6.90833

Parthiban, S. R., Nain, M. S., Singh, R., Kumar, S., & Chahal, V. P. (2015). Farmers’ producer organisation in reducing transactional costs: A study of Tamil Nadu Mango Growers Federation (TAMAFED). Indian Journal of Agricultural Sciences, 85(10), 1303-1307.

Prasanna, S. K., & Mazhar, S. H. (2022). Impact level of knowledge and constraints faced by the farmer producer organization on farmers’ income in Kurnool district of Andhra Pradesh. Asian Journal of Agricultural Extension, Economics & Sociology, 40(9), 83-89.

Sahoo, S. L., Sahoo, B., & Das, S. (2024). FPO Member farmer empowerment: Socio-economic Insights via canonical correlation analysis. Indian Journal of Extension Education, 60(1), 59-62.

Singh, A., Singh, R., Nain, M. S., Mishra, J. R., Kumar, P., Sharma, D. K., & Paul, R. K. (2023). Linkage network structures of farmers: analysing FPOs of MP and Bihar in India. Indian Journal of Extension Education, 59(3), 14-20.

Singh, R., Nain, M. S., Sharma, J. P., Mishra, J. R., & Burman, R. R. (2014). Institutional convergence of synergistic strengths for developing women agripreneurs. Indian Journal of Extension Education, 50(3&4), 1-7.

Sun, L., Ji, S., & Ye, J. (2011). Canonical correlation analysis for multilabel classification: A least-squares formulation, extensions, and analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(1), 194-200.https://doi.org/10.1109/tpami.2010. 160

Published

2024-07-04

How to Cite

Pujitha, A.S., Naik, A., Kumar, A., & Biswas, T. (Trans.). (2024). Comparative Analysis of the Impact of FPO on Paddy Farmers through Canonical Correlation Analysis . Indian Journal of Extension Education, 60(3), 49–53. https://doi.org/10.48165/IJEE.2024.60310