EXAMINE THE FACTORS INFLUENCING THE PERFORMANCE OF FARMER PRODUCER COMPANYS (FPCS) FARMERS

I. HUSSAIN¹*, S. BORA², A. BARUAH³, R. DAS^4
1Department of Agricultural Economics and Farm Management, Biswanath College of Agriculture, Assam Agricultural University, Jorhat, 785013, Assam, India
²Department of Agricultural Economics and Farm Management, Biswanath College of Agriculture, Assam Agricultural University, Jorhat, 785013, Assam, India
³Department of Agricultural Economics and Farm Management, Biswanath College of Agriculture, Assam Agricultural University, Jorhat, 785013, Assam, India
⁴Department of Agricultural Economics and Farm Management, Biswanath College of Agriculture, Assam Agricultural University, Jorhat, 785013, Assam, India
* Corresponding Author : imran.bnca@gmail.com

Received : 05-10-2022     Accepted : 27-10-2022     Published : 30-10-2022
Volume : 14     Issue : 10       Pages : 11755 - 11757
Int J Agr Sci 14.10 (2022):11755-11757

Keywords : Farmer Producer Company (FPC), Bargaining Capacity, Cost of Cultivation, Marketing Risk, Multiple Linear Regression, Goodness of Fit
Academic Editor : Dr Prashant Shrivastava, Dr Sakamma S
Conflict of Interest : None declared
Acknowledgements/Funding : Authors are thankful to Department of Agricultural Economics and Farm Management, Biswanath College of Agriculture, Assam Agricultural University, Jorhat, 785013, Assam, India
Author Contribution : All authors equally contributed

Farmer Producer Company (FPC) is an instrument to eliminate certain problems of small and marginal farmers viz., low bargaining capacity, higher cost of cultivation, marketing risk etc. The success of a producer company depends on the performance of the member producer farmers registered under the company and there may be several factors which influence the performance of FPC farmers. The outcome of the multiple linear regression analysis revealed some potential factors which were found significant in influencing the performance of FPC farmers viz., the level of education of the respondents, family labour employed, hired labour, size of the family, adoption of the recommended production process, and farm training attended during past years. The coefficient of determination (R2) or goodness of fit for the constructed multiple linear regression model was found to be 0.8873 and the adjusted R2 was 0.8709

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