Household credit for the poor and child schooling in peri-urban Vietnam
Bibliographic Data
| ID | 12714404 |
|---|---|
| Authors | Tinh Doan (0000-0002-2297-8187, VNU University of Economics and Business, Hanoi, Vietnam, [email protected], [email protected], corresponding author), John Gibson (0000-0003-3886-6873, Economics Department, University of Waikato's, Hillcrest Road, Hamilton, Waikato 3240, New Zealand, [email protected]), Mark J Holmes (0000-0002-1771-9324, University of Waikato), Mark Robert Holmes (0000-0001-9587-367X, Economics Department, University of Waikato's, Hillcrest Road, Hamilton, Waikato 3240, New Zealand, [email protected]) |
| Year | 2014 |
| Volume | 36 |
| Issue | 4 |
| Pages | 455-474 |
| Publication date | 2014-01-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | International Development Planning Review (JOURNAL) |
| Journal identifiers | ISSN: 1474-6743 • E-ISSN: 1478-3401 |
| Publisher | Liverpool University Press (PUBLISHER • GB) |
| DOI | 10.3828/idpr.2014.25 |
| OpenAlex | W1984889778 |
| Language | EN |
| Citations received | 3 |
| References cited | 21 |
This paper uses a novel dataset of poor households in peri-urban areas in Vietnam to estimate impacts of small loans on child schooling. The Probit and Negative Binomial model estimates roughly indicate no strong evidence of the effect. However, breaking down credit into formal and informal credit and credit for boy and girl schooling provides better insights. The paper suggests that to obtain the target of sustainable poverty reduction, easing access to formal credit sources and exempting tuition and other school contributions are necessary steps to keep poor children in schools longer
Demographic economics · Econometrics · Economic growth · Economics · Microfinance · Poverty · Poverty reduction · Probit model · Fiscal Policy and Economic Growth · Income, Poverty, and Inequality · Poverty, Education, and Child Welfare
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| Unique citing works | 3 |
|---|---|
| Citations per year | 0,38 |
| Citation span | 2018 - 2020 (3) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 3 |