印度北方邦Kannuaj地区Kisan信用卡计划受益人和非受益人的社会经济研究

Supragya Krishan Gopal, Syed H. Mazhar
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引用次数: 0

摘要

对农民社会经济特征的研究对于更好的政策选择很重要。北方邦的Kannuaj地区也是一个以农业为主的地区。北方邦大约70%的农村人口从事初级部门,但目前农业部门面临着许多问题,如信贷、灌溉hyv和其他资本设备等。Kisan信用卡(KCC)计划在农业部门的发展中发挥着重要作用,因为该计划的目标是通过向农民提供较低利率的贷款来消除放债人对农民的剥削。Kisan信用卡(KCC)是农村发展非常有用的政策,因为这些政策是农业短期信贷的唯一媒介。从1998年至1999年,该计划由全国公共部门商业银行、区域农村银行和合作银行实施。本文旨在研究Kisan信用卡计划在农村信贷便利化中的作用,以及KCC计划对北方邦Kannuaj地区受益人和非受益人的社会经济地位的影响。结果发现,36.08%的受益人来自高社会经济地位群体,43.03%的受益人来自中等社会经济地位群体,20.89%的受益人来自低社会经济地位群体。在非受益者中,27.32%来自高社会经济地位群体,而37.34%的非受益者来自中等社会经济地位群体。35.44%的非受益人来自社会经济地位较低的群体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Socio-Economic study of the Beneficiaries and Non-Beneficiaries of Kisan Credit Card Scheme in Kannuaj District of Uttar Pradesh, India
The studies of socio-economic characteristics of farmers are important for better policy options. The Kannuaj district of Uttar Pradesh is also an agriculture dominated region. Approximately 70% of the rural population of Uttar Pradesh is engaged in primary sector but at present agriculture sector is facing lots of problems such as credit, irrigation HYVs and other capital equipments etc. Kisan Credit Card (KCC) scheme playing a significant role in the development of agriculture Sector because the objective of the scheme is to eliminate exploitations of the farmers by the moneylenders by providing the farmers loans at cheaper rates of Interest. Kisan Credit Card (KCC) is very useful policy for rural development because these policy as the only medium of short-term credit for agriculture. From the year 1998-99, the scheme was implemented by public sector commercial banks, RRBs (Regional Rural Banks) and cooperative banks in the country. The present paper is aimed to study role of Kisan Credit Card scheme in the rural credit facilitation and impact of KCC scheme on socio-economic status of beneficiaries and non-beneficiaries in Kannuaj district of Uttar Pradesh. It is found that 36.08 per cent beneficiaries were from high socio-economic status group while 43.03 per cent beneficiaries were from medium and 20.89 per cent were in low socio-economic status group. In non-beneficiaries, 27.32 per cent were from high socio-economic status group while 37.34 per cent non beneficiaries were from medium socio-economic status group. 35.44 per cent non beneficiaries were from lower socio-economic group.
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