Abstract
Credit is considered as an essential tool to make informal labor’s income better. In order to improve quality of their life, the state should have some supports them in credit access. This study analyzes factors causing credit access of informal labors to be changed in the time of COVID-19 pandemic. Using survey data collected from 2020 VHSSL (2019–2020), this approach has two models including a binary logit model and a multinomial logit model (MLM). The results revealed that the positive factors including education, material, collateral, credit size, credit source, credit debt which are likely to affect to credit access, however age, family size, ethnicity, interest, paid money are negative. Besides, it also concludes that quality of life of informal labor is considerably influenced by credit access, collateral, credit source, credit debt from the observed samples. Additionally, this paper recommends some policies to enhance informal labor’s access to credit and their quality of life.
Subject
Economics, Econometrics and Finance (miscellaneous),Development
Reference37 articles.
1. A survey of machine-learning and nature-inspired based credit card fraud detection techniques
2. Subjectivity in credit allocation to micro-entrepreneurs: evidence from Brazil
3. Estimation of the Determinants of Credit Demand by Farmers and Supply by Rural Banks in Ghana’s Upper East Region;Akudugu;Asian Journal of Agriculture and Rural Development,2012
4. The Sources of Microfinance Capital and its Effects on Farmers access to Credit in Ghana
5. Determinants of Credit Access by Smallholder Farmers in North-East Benin;Assogba;Journal of Development and Agricultural,2017
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