Financial literacy and its antecedents amongst the farmers: evidence from India
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...
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Veröffentlicht in: | Agricultural finance review 2023-01, Vol.83 (1), p.124-143 |
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description | 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. |
doi_str_mv | 10.1108/AFR-01-2022-0009 |
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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.</description><identifier>ISSN: 0002-1466</identifier><identifier>EISSN: 2041-6326</identifier><identifier>DOI: 10.1108/AFR-01-2022-0009</identifier><language>eng</language><publisher>Bingley: Emerald Publishing Limited</publisher><subject>Age ; Agricultural production ; Agriculture ; Borrowing ; Cost control ; Crop insurance ; Developed countries ; Education ; Empowerment ; Farmers ; Financial institutions ; Financial literacy ; Financial services ; Households ; Innovations ; Low income groups ; Multivariate statistical analysis ; Productivity ; Regression models ; Rural areas ; Securities markets ; Statistical analysis</subject><ispartof>Agricultural finance review, 2023-01, Vol.83 (1), p.124-143</ispartof><rights>Emerald Publishing Limited</rights><rights>Emerald Publishing Limited.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c346t-7bb8c448e69d4163dd97ae61e79a0a028ac38c144fb4740476c52835ae3af6083</citedby><cites>FETCH-LOGICAL-c346t-7bb8c448e69d4163dd97ae61e79a0a028ac38c144fb4740476c52835ae3af6083</cites><orcidid>0000-0001-7592-6594 ; 0000-0002-3758-4973</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.emerald.com/insight/content/doi/10.1108/AFR-01-2022-0009/full/html$$EHTML$$P50$$Gemerald$$H</linktohtml><link.rule.ids>314,780,784,21695,27924,27925,53244</link.rule.ids></links><search><creatorcontrib>Maji, Sumit Kumar</creatorcontrib><creatorcontrib>Laha, Arindam</creatorcontrib><title>Financial literacy and its antecedents amongst the farmers: evidence from India</title><title>Agricultural finance review</title><description>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. 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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.</abstract><cop>Bingley</cop><pub>Emerald Publishing Limited</pub><doi>10.1108/AFR-01-2022-0009</doi><tpages>20</tpages><orcidid>https://orcid.org/0000-0001-7592-6594</orcidid><orcidid>https://orcid.org/0000-0002-3758-4973</orcidid></addata></record> |
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subjects | Age Agricultural production Agriculture Borrowing Cost control Crop insurance Developed countries Education Empowerment Farmers Financial institutions Financial literacy Financial services Households Innovations Low income groups Multivariate statistical analysis Productivity Regression models Rural areas Securities markets Statistical analysis |
title | Financial literacy and its antecedents amongst the farmers: evidence from India |
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