Financial literacy and its antecedents amongst the farmers: evidence from India

IF 1.5 Q3 AGRICULTURAL ECONOMICS & POLICY Agricultural Finance Review Pub Date : 2022-06-21 DOI:10.1108/afr-01-2022-0009
S. Maji, A. Laha
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引用次数: 3

Abstract

PurposeThe article makes a modest attempt to explore the level of financial literacy (FL) amongst the farmers in India. An effort was also made to unearth the factors affecting such FL.Design/methodology/approachThe study used secondary data on 11,030 farmers across various regions of India from the Financial Inclusion Insight Survey, 2017. Standard and Poor Global FL questions were used to measure the level of FL amongst the respondents. In addition to the appropriate statistical tools and techniques, the censored tobit regression model and generalized structural equation model were applied to explore the determinants of FL of the Indian farmers.FindingsThe outcome of the study indicated that the majority of Indian farmers are financially illiterate. The average FL score obtained by the sample farmers was found to be only 33%. The results of the study signaled significant regional variation in FL amongst the farmers across India. Apart from the regional variation in FL, farmer type, state-specific agricultural productivity, gender, marital status, age, educational attainment and financial inclusion were found to be the major determinants of the FL amongst the farmers.Originality/valueEvaluation of FL amongst farmers is scanty in the literature in developed nations and especially in the context of emerging economies, like India. The authors tried to fill this gap by exploring FL and its determinants amongst Indian farmers. In addition to this, the study for the first time used a comprehensive and rich dataset of 11,030 Indian farmers while exploring the level of FL and its determinants.
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农民的金融知识及其前因:来自印度的证据
目的本文对印度农民的金融知识水平进行了适度的探索。还努力挖掘影响此类FL的因素。设计/方法/方法该研究使用了2017年金融包容性洞察调查中印度各地区11030名农民的二次数据。标准和较差的全球外语问题被用来衡量受访者的外语水平。除了适当的统计工具和技术外,还应用截尾tobit回归模型和广义结构方程模型来探索印度农民FL的决定因素。研究结果表明,大多数印度农民在经济上是文盲。样本农民获得的平均FL得分仅为33%。研究结果表明,印度农民的FL存在显著的区域差异。除了FL的区域差异外,农民类型、特定州的农业生产力、性别、婚姻状况、年龄、教育程度和金融包容性是农民FL的主要决定因素。在发达国家,尤其是在印度等新兴经济体的背景下,农民对FL的独创性/价值评估在文献中很少。作者试图通过探索FL及其在印度农民中的决定因素来填补这一空白。除此之外,该研究首次使用了11030名印度农民的全面而丰富的数据集,同时探索了FL水平及其决定因素。
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来源期刊
Agricultural Finance Review
Agricultural Finance Review AGRICULTURAL ECONOMICS & POLICY-
CiteScore
3.70
自引率
18.80%
发文量
24
期刊介绍: Agricultural Finance Review provides a rigorous forum for the publication of theory and empirical work related solely to issues in agricultural and agribusiness finance. Contributions come from academic and industry experts across the world and address a wide range of topics including: Agricultural finance, Agricultural policy related to agricultural finance and risk issues, Agricultural lending and credit issues, Farm credit, Businesses and financial risks affecting agriculture and agribusiness, Agricultural policies affecting farm or agribusiness risks and profitability, Risk management strategies including the use of futures and options, Rural credit in developing economies, Microfinance and microcredit applied to agriculture and rural development, Financial efficiency, Agriculture insurance and reinsurance. Agricultural Finance Review is committed to research addressing (1) factors affecting or influencing the financing of agriculture and agribusiness in both developed and developing nations; (2) the broadest aspect of risk assessment and risk management strategies affecting agriculture; and (3) government policies affecting farm profitability, liquidity, and access to credit.
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