Author: Sonia , D.P. Malik and Sanjay
Author Address: Research Scholar , Professor and Head and Assistant Professor , Department of Agricultural Economics, Chaudhary Charan Singh Haryana Agricultural University, Hisar-125004 (Haryana)
Keywords: Beneficiary farmers, constraints, Kisan Credit Card Scheme, Likert scale, Logit model.
JEL Codes: A10, C19, D60.
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.
Indian Journal of Economics and Development
Volume 18 No. 3, 2022, 637-645
DOI: https://doi.org/10.35716/IJED/22151
NAAS Score: 5.15 (2022)
Indexed in Clarivate Analytics (ESCI) of WoS
Indexed in Scopus (SJR: 0.18)
UGC Approved (UGC-Care List Group II)