1Research Scholar, Department of Agricultural Economics, Chaudhary Charan Singh Haryana Agricultural University, Hisar-125004 (Haryana)
2Professor and Head, Department of Agricultural Economics, Chaudhary Charan Singh Haryana Agricultural University, Hisar-125004 (Haryana)
3Assistant Professor, Department of Agricultural Economics, Chaudhary Charan Singh Haryana Agricultural University, Hisar-125004 (Haryana)
*Corresponding author's email: sonialohchab123@gmail.com
Online published on 3 February, 2023.
The present investigation was carried out in Haryana state during 2020-2021. Logistic regression indicated that the education level and size of the owned area of the farmer positively influenced the adoption of the KCC Scheme. Mean per cent score analysis revealed that more than 70 per cent of beneficiary farmers reported significant constraints such as lengthy paperwork and difficulty in repayment of loans due to crop failure. At the same time, 80 per cent of non-beneficiary farmers encountered sub-divisions and land fragmentation. Easy access to the non-institutional loan was a significant obstruction encountered in the adoption of the KCC Scheme.
Beneficiary farmers, Constraints, Kisan Credit Card Scheme, Likert scale, Logit model
