Impact Of Membership Of Financial Institutions On Rural Saving: A Micro-Level Study

Pailwar, Veena Keshav; Kaur, Jaspreet; Saxena, Khushboo; Nijhara, Mitesh

doi:10.19030/iber.v9i10.647

Cited by 9 publications

(9 citation statements)

References 22 publications

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“…Households that owned land could increase a household's disposable income and savings by producing additional income in the form of rent. This trend is consistent with the conclusions of previous studies (Gonzalez-Vega, 2003;Lamberte et al, 2006;Komicha, 2007 andPailwar et al 2010) that if wealth is in the form of productive assets such as farm land it can have a positive impact on savings. Land ownership helps the farmers to benefit from economies of scale, higher production, and income.…”

Section: Table 1: Summary Statisticssupporting

confidence: 93%

“…The desire and ability to save depends on having more than the resources dedicated to basic needs (Carpenter and Jensen, 2002). Recent studies have confirmed that savings is highly influenced by income (Browning & Lusardi 1996;Pailwar et al 2010). Browning & Lusardi (1996) found that savings rates are higher for wealthy or more educated households.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Socioeconomic determinants of savings include age, gender of household head, level of education, size, farming experience, dependency ratio, type of occupation, household income, service charge, transport costs, credit access income, household loan repayment and amount of money borrowed (Adeyemo & Bamire, 2005;Kibet et al, 2009;Pailwar et al, 2010). Several explanations have been offered of the effect of family size on household savings.…”

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Determinants of Savings Rate in Rural Nigeria: A Micro Study of Kwara State

Obayelu¹

2018

Journal for the Advancement of Developing Economies

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The inability of households to save over time has significant influence on the rate of capital accumulation and economic growth in developing countries. In order to understand this trend, this research assesses savings rates and its correlates in rural Kwara state, Nigeria. A multi-stage sampling procedure was used to obtain data from 120 households. This was then analyzed using two descriptive statistics: the generalized linear model and the Tobit regression model. Results show that majority of the rural households were male-headed (81.0 percent) and combined farming with other non-farming activities (73.5 percent). The Tobit regression model reveals that age squared (p<0.10), farming experience (p<0.10) and diversification of non-farming activities (p<0.05) positively influence rural saving rates.

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Section: Table 1: Summary Statisticssupporting

confidence: 93%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

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Determinants of Savings Rate in Rural Nigeria: A Micro Study of Kwara State

Obayelu¹

2018

Journal for the Advancement of Developing Economies

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“…When age increases, saving also increases at a decreasing rate, both in developed and in developing countries and have a positive impact on household saving behavior (Attanasio, 1997;Burney & Khan, 1992;Faridi, Hafeez, Chaudhry, & Bashir, 2011;Foley & Pyle, 2005 as cited in Pailwar, 2010;Unny, 2002).…”

Section: Literature Reviewmentioning

confidence: 99%

Determinants of Urban Household Saving Behavior in Ethiopia: A Survey Study in Mekelle City

Saliya¹

2018

unibulletin

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This study is conducted under the title "Determinants of Urban Household Saving Behavior in Ethiopia." Its main objective was to empirically investigate the determinants of urban household saving behavior in Mekelle city, Ethiopia. Crosssectional primary data was collected using self-administered open-ended and closedended questionnaires from 150 households from seven sub-cities of Mekelle city. Selection of the sample was by two stage stratified sampling techniques, where the first stage units were sub-cities and the second stage units were the households. Descriptive statistics and binary logistic regression model was used to test the formulated hypotheses. The study found that household headed by a female, total income of household, and saving experience had a positive and significant impact on household saving. However, age of the household head, additional earner in the household, and dependency ratio of the household had a negative and significant influence on household saving. The governing saving motive found in this study was precautionary motive. The study recommended that government in collaboration with financial institutions should promote household saving by introducing different packages of prize-linked promotional savings; government should continue and spend the utmost effort to stabilize inflationary pressures using short-term and long-term strategies; and, government should strive to increase the disposable income of households. This study focused on household saving using only financial saving and employed smaller sample and binary logit regression model. Thus, further research may be undertaken to incorporate larger samples by employing other econometric models such as Heckman sample selection model and OLS regression models.

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“…The first stream connects households and household members with economic and/or social organizations. The research by Pailwar et al (2010) investigates the impact of household members who participate. A membership is said to exist when one household member works for a financial institution.…”

Section: Literature Review On the Social Network Nexus And The Insuramentioning

confidence: 99%

Household Savings and Productive Capital Formation in Rural Vietnam: Insurance vs. Social Network

Gries¹,

Dung²

2014

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In this paper, we investigate the role of the social network nexus and the insurance nexus in determining household savings and productive capital formation in rural Vietnam. We analyze the issue in two dimensions, stocks and flows, and consider the exposure to negative shocks. The instrumental variable method is employed and unlike previous studies, we account for the endogeneity of all concerned variables. The results indicate that the social network nexus has more impacts in "ex ante" rather than in "ex post" households. In both households groups, the effects of the insurance nexus dominate over those of the social network nexus. In the case of the stocks, we also find that the precautionary view holds in liquid assets but not in productive assets.

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Impact Of Membership Of Financial Institutions On Rural Saving: A Micro-Level Study

Cited by 9 publications

References 22 publications

Determinants of Savings Rate in Rural Nigeria: A Micro Study of Kwara State

Determinants of Savings Rate in Rural Nigeria: A Micro Study of Kwara State

Determinants of Urban Household Saving Behavior in Ethiopia: A Survey Study in Mekelle City

Household Savings and Productive Capital Formation in Rural Vietnam: Insurance vs. Social Network

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