FPO Member Farmer Empowerment: Socio-economic Insights via Canonical Correlation Analysis

Authors

  • Subha Laxmi Sahoo Orissa University of Agriculture and Technology, Bhubaneswar Odisha, India
  • Biswajit Sahoo Centurion University of Technology and Management, Parlakhemundi, Odisha, India
  • Sarbani Das Orissa University of Agriculture and Technology, Bhubaneswar Odisha, India

DOI:

https://doi.org/10.48165/IJEE.2024.60111

Keywords:

Cultural empowerment, Market orientation, Multivariate analysis, Proportionate random sampling, Socio economic variables

Abstract

A multivariate analysis was undertaken in this study using canonical correlation analysis. The aim was to investigate the association between socio-economic variables and the empowerment of member farmers who are part of Farmer Producer Organizations (FPOs). A total of 186 member farmers were selected from 6 FPOs located in two districts, namely Kalahandi and Cuttack, in Odisha. The selection process involved choosing 5% of member farmers from each FPO, with 4 from Kalahandi and 2 from Cuttack, using proportionate random sampling. Data was collected through a well-structured and pre tested interview schedule. The analysis revealed that 30.98 per cent of the variance in empowerment was attributed to the socio-economic variables considered in the present study. The findings indicated that an increase in education level and active participation in FPO activities led to enhanced social empowerment among farmers. Similarly, factors such as larger family size, greater market orientation, and larger cultivated land area were associated with increased economic empowerment. Additionally, the study found that a higher extent of cultivated land contributed to cultural empowerment among the farmers. 

Downloads

Download data is not yet available.

References

Akbas, Y., & Takma, C. (2005). Canonical correlation analysis for studying the relationship between egg production traits and body weight, egg weight and age at sexual maturity in layers. Czech Journal of Animal Science, 50(4), 163–168.

Balkaya, A., Cankaya, S., & Ozbakir, M. (2011). Use of canonical correlation analysis for determination of relationships between plant characters and yield components in winter squash (cucurbita maxima Duch.) populations. Bulgarian Journal of Agricultural Science, 17(5), 606-614.

Cabinet Committee on Economic Affair (CCEA). (2020). CCEA Approves scheme for “Formation and Promotion of Farmer Producer Organizations (FPOs)” to form and Promote 10,000 new FPOs. Press Information Bureau, Government of India. Retrieved from https://pib.gov.in/PressReleseDetail.aspx? PRID=1603627#

Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2009). Análise Multivariada de Dados, (6th ed.). Bookman, Porto Alegre. https://scirp.org/reference/referencespapers.aspx? referenceid=1583921

Hidalgo, A. M., da Silva, L. P., Mota, R. R., & Martins, E. N. (2014). Canonical-correlation analysis applied to selection-index methodology in quails. Livestock Science, 169, 35-41.

Kakati, S., & Roy, A. (2018). The scope of entrepreneurship in farmer Producer Companies. Presented paper in a National Conference: Agribusiness potentials of Assam.

Kanitkar, A. (2016). The logic of farmer enterprises. Occasional Publication 17 Institute of Rural Management Anand. https:// www.irma.ac.in/uploads/randp/pdf/1518_28072.pdf

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, S., Sankhala, G., Kar, P., & Sharma, P. R. (2021). An appraisal of financial sustainability of dairy-based farmer producer companies in India. Indian Journal of Extension Education, 57(4), 115-119.

Kumari, N., Malik, J. S., Arun, D. P., & Nain, M. S. (2022). Farmer Producer Organizations (FPOs) for linkage farmer to market. Journal of Extension Systems, 37(1), 1-6.

Martin, N. F., Bollero, G., & Bullock, D. G. (2005). Associations between field characteristics and soybean plant performance using canonical correlation analysis. Plant and Soil, 273, 39-55.

NABARD (2019). Farmer producer Organizations (FPOs): Status, issues and suggested policy reforms. National Level Paper, Potential Linked Plans (PLP) 2019-20.

Parthiban Sakthi, R., Nain, M. S., Singh, R., Kumar, S., & Chahal, V. P. (2015). Farmers’ producer organization in reducing transactional cost: a study of Tamil Nadu mango growers’ federation. Indian Journal of Agricultural Sciences, 85(10), 1303-1307.

Policy and Process Guidelines for Farmer Producer Organizations. (2013). Department of Agriculture and Cooperation, Ministry of Agriculture, Government of India, New Delhi. Retrieved from https://www.mofpi.gov.in/sites/default/files/fpo_policy_process _guidelines_1_april_2013.pdf

Sahoo, S. L., Das, S., & Sahoo, B. (2022). Impact of Farmer Producer Organization (FPOs) on economic empowerment of the member farmers. Indian Research Journal of Extension Education, 22(2), 59-64.

Sahoo, S. L., Das, S., Mohapatra B. P., & Sahoo, B. (2022). Communication behavior analysis of the member farmers of Farmer Producer Organizations (FPOs). Biological Forum-An International Journal, 14(1), 1656-1660.

Singh, M., Tiwari, D., Monga, S., & Rana, R. K. (2021). Behavioral determinants of functionality of farmer Producer Organizations in Punjab. Indian Journal of Extension Education, 58(1), 130- 135.

Venkatasubramanian, V., Rayudu, B. T., Thimmappa, K., Hanji, M. B., Mishra, J. P., & Kadhirvel G. (2023). Influence of ‘Mann Ki Baat’ on farmers Producer Organizations (FPOs): lessons from successful cases. Indian Journal of Extension Education, 59(3), 7-13.

Published

2024-01-04

How to Cite

Sahoo, S.L., Sahoo, B., & Das, S. (Trans.). (2024). FPO Member Farmer Empowerment: Socio-economic Insights via Canonical Correlation Analysis . Indian Journal of Extension Education, 60(1), 59–62. https://doi.org/10.48165/IJEE.2024.60111