2021
DOI: 10.1142/s0217590821440057
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Knowledge Changes Fate: Can Financial Literacy Advance Poverty Reduction in Rural Households?

Abstract: Poverty reduction and inclusive growth in poor rural areas attracted the increasing attention of governments and scholars around the world. We investigate financial literacy by conceptualizing its impacts on rural households’ poverty reduction, considering current and long-term economic income dynamics. Using a database from 2015 to 2017 China Household Finance Survey, we find that financial literacy has current and long-term effects on promoting rural households’ status by eliminating and effectively improvin… Show more

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Cited by 21 publications
(23 citation statements)
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“…This study considered various control variables based on the prior studies ( Korkmaz et al, 2021 ; Xu et al, 2021 ), including age, age square, education level, marital status ( Married ), health status ( Health ), risk attitude, and other demographic characteristics ( Lei et al, 2013 ; Zhao et al, 2016 ; Shu, 2018 ; Tang et al, 2021 ; Zhao and Qu, 2021 ). Family characteristic variables included the following: Number of children in the family (age<15), number of elderly in the family (age > 60), family size, homeownership, owning two or more houses, total family income (natural logarithm), and total family assets (take natural logarithm).…”
Section: Methodsmentioning
confidence: 99%
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“…This study considered various control variables based on the prior studies ( Korkmaz et al, 2021 ; Xu et al, 2021 ), including age, age square, education level, marital status ( Married ), health status ( Health ), risk attitude, and other demographic characteristics ( Lei et al, 2013 ; Zhao et al, 2016 ; Shu, 2018 ; Tang et al, 2021 ; Zhao and Qu, 2021 ). Family characteristic variables included the following: Number of children in the family (age<15), number of elderly in the family (age > 60), family size, homeownership, owning two or more houses, total family income (natural logarithm), and total family assets (take natural logarithm).…”
Section: Methodsmentioning
confidence: 99%
“…We employed the OrderedProbit model to test the dynamic impact of financial literacy on financial literacy as captured by Equation 3. Y_i represented the change in financial behavior ( Xu et al, 2021 ). To be specific, Y_i was equal to 1 if residents engaged in financial behavior in 2017 but did not do so in 2015 (i.e., financial behavior = 0 in 2015 but financial behavior = 1 in 2017), Y_i was equal to 0 if the residents’ financial behavior had not changed (i.e., financial behavior = 1 or 0 both in 2015 and 2017), Y i was equal to −1 if residents did not engage in financial behavior in 2017 but did so in 2015 (i.e., financial behavior = 1 in 2015 but financial behavior = 0 in 2017).…”
Section: Methodsmentioning
confidence: 99%
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