Kisan信用卡(KCC)受益人的使用趋势

K. Srivani
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引用次数: 0

摘要

信贷是当代农业最重要的资源之一。因此,有必要扩大农业融资,提高土地生产率,提高利用水资源促进农业产出的潜力和有效性。除其他事项外,采用农业技术、购买现代投入和工具、开发土地、购买动物和购买原材料都需要信贷。农业信贷使农民能够在作物生产的整个周期内满足其信贷需求,同时为投资提供资金,在保护农业生产方面发挥了重要作用。为了更好地了解“Kisan信用卡(KCC)受益人的使用趋势”,提出了目前的研究。本研究采用描述性研究设计。在这项研究中,从特伦加纳邦佩德帕利地区的Eligaid mandal中专门选择了120名农民作为样本。数据显示,大多数受访者的社会经济状况处于中等水平。调查发现,大多数受访者对Kisan信用卡的效用处于中等水平。年龄、学历、家庭类型;采用SPSS软件进行卡方检验和单因素方差分析,发现土地持有量、年收入、家庭类型、储蓄增加、收入水平提高、效用水平等与Kisan信用卡信用利用显著相关,显著性水平为0.05。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Utilization Trends of the Kisan Credit Card (KCC) Beneficiaries
One of the most essential resources in contemporary agriculture is credit. As a result, there is a need to expand agricultural finance, boost land productivity, and raise the potential and effectiveness of using water resources for agricultural output. Credit is needed, among other things, for the adoption of agricultural technology, the purchase of contemporary inputs and tools, the development of land, the purchase of animals, and the purchase of raw materials. By enabling farmers to satisfy their credit needs throughout the whole cycle of crop production and at the same time providing money for investment reasons, agriculture credit plays a significant role in preserving agricultural production. To better understand "Utilization Trends of Kisan Credit Card (KCC) Beneficiaries," the current study was proposed. Descriptive research design was used for the study. For this study, 120 farmers were specifically chosen as a sample from the Eligaid mandal of Peddapalli District of Telangana Sate. According to the data, the majority of respondents had socio-economic profiles that are on the middle level. It was discovered that majority of respondents had a medium level of utility for the Kisan Credit Card. Age, education, home type; landholding, annual income, family type, savings increased, income levels increased by this scheme and level of utility etc. were all found to be significantly associated with the credit utilization of the Kisan credit card at 0.05 level of significance by applied the chi-square and one-way ANOVA statistical tests in SPSS.
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