Kisan信用卡计划受益农户概况与Kisan信用卡计划影响的关系分析

D. Nigade, P. R. Deshmukh, V. Kamble
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摘要

本调查于2020年和2021年在马拉特瓦达地区的拉图尔和奥斯马纳巴德区进行,根据Kisan信用卡计划受益农民的最大数量有目的地选择。本研究采用事后研究设计。数据采用预测访谈表收集,运用Pearson相关系数、多元回归分析和Path分析进行分析。相关分析发现,教育程度、年收入、职业、土地持有、社会参与和推广接触与KCC计划的影响呈显著正相关,信息来源、经济动机、风险导向和知识与KCC计划的影响呈显著正相关。年龄、家庭规模和家庭类型对KCC方案的影响不显著。多元回归分析发现,自变量的决定系数(R2)为0.778。t值表明,KCC计划的影响与教育程度、年收入、职业、土地持有、推广联系、信息来源、经济动机、风险导向和知识显著相关。在路径分析方面,人们观察到,信息来源、扩展联系、教育、知识、土地持有、年收入、社会参与、年龄、职业和风险取向是重要的变量,没有这些变量,自变量就无法影响KCC计划对其受益人的影响。
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Relational Analysis between Profile of Kisan Credit Card Scheme Beneficiary Farmers and Impact of Kisan Credit Card Scheme
The present investigation was conducted in Latur and Osmanabad district of the Marathwada region during the year 2020 and 2021 which was selected purposively on the basis of maximum number of Kisan Credit Card Scheme beneficiary farmers. Ex-post-facto research design was adopted in this study. The data were collected with the help of pretested interview schedule from the respondents and analysed by using Pearson’s coefficient of correlation, multiple regression analysis and Path analysis. It was observed from correlation analysis that education, annual income, occupation, land holding, social participation and extension contact were positively and significantly related with the impact of KCC Scheme while sources of information, economic motivation, risk orientation and knowledge were positive and highly significant relationship with the impact of KCC Scheme. The variable namely age, size of family and type of family were non-significant with the impact of KCC Scheme. It was observed from multiple regression analysis that co-efficient of determination (R2) of the independent variables was 0.778. The value of ‘t’ showed that impact of KCC Scheme was significantly related with education, annual income, occupation, land holding, extension contact, sources of information, economic motivation, risk orientation and knowledge. In relation to path analysis, it was observed that, sources of information, extension contact, education, knowledge, land holding, annual income, social participation, age, occupation and risk orientation were important variables in absence of which independent variables are not able to influence the impact of KCC Scheme on its beneficiaries.
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