Microfinance programs play a vital role in poverty alleviation in developing countries; however, most microfinance institutions (MFIs) face the challenge of maintaining financial sustainability. While several studies have investigated factors affecting MFI financial sustainability, only a few focus on MFIs in Thailand. This paper uses the random effect model to study the determinants of Thai MFIs’ financial sustainability. Results show that sustainability is affected by the efficiency of Thai MFI staff members in managing borrowers and the MFIs’ ability to use their short-term assets to generate cash or revenue. Moreover, Thai MFIs do not benefit from economies of scale and do not reach the very poor households. This study recommends that MFIs should ensure that their social and financial goals are adequately balanced. It proposes that MFIs use a mixed approach: follow profit maximization principles and embrace technology to minimize operational costs.
Income inequality is a major problem in Thailand. A key determinant of income inequality in Thailand is the lack of financial access to financial institutions for low-income families. Microfinance institutions (MFIs) play an important role in enabling poor households to access financial resources at a reasonable cost. The purpose of this paper is to investigate factors that affect Thai households participating in microfinance programs in Thailand. A multinomial logit model is used to investigate the factors that impact the Thai households’ access to microfinance. The study employs secondary data from the Thai Socioeconomic Survey (cross-sectional data in 2017) to identify factors affecting Thai household participation in microfinance programs. The results show that the Village Fund (VF) targets low-income rural households and encourages those with older household heads who have lower levels of education, and female household heads, to participate in their program. Larger households are more likely to access the VF. Households with higher dependency ratios are less likely to borrow from the VF. Households with well-educated, young household heads in regional areas are more likely to borrow money from Saving Groups for Production (SGPs). SGP borrower households have higher household incomes than VF borrower households. Our findings indicate that VFs and SGPs are credit sources in the rural credit market; these sources enable rural households to access credit to meet their needs. In addition, rural Thai households borrow from many sources so that they can rotate their loan repayments. Low-income households refinance their loans by borrowing from different sources.
Microfinance institutions (MFIs) play an important role in enabling poor households to escape poverty. MFIs cannot help borrowers if their own performance is poor. This study evaluates financial performance of Village Funds (VFs) and Saving Groups for Production (SGPs) to determine how well the MFIs are performing financially and how to improve the institutions’ future performances. The study evaluates MFIs’ performance, including MFI characteristics, outreach, productivity, financial structure and financial performance. Data are collected from the annual reports of MFIs between 2014 and 2016. VF and SGP annual reports were collected by the Government Savings Bank between 2014 and 2016. Data are analyzed using descriptive statistics, such as means, to compare the VFs’ and SGPs’ performance. The result shows that SGPs are bigger than VFs in terms of the average number of members and borrowers. However, VFs provide more loans than SGPs to poorer clients. In terms of loan management, SGP staff are more efficient than VF staff. SGPs’ profits are significantly higher than VFs’ profits. In the context of financial structure, SGPs are funded through member deposits, while VFs receive government subsidies. The results indicate that both VFs and SGPs are profitable and financially sustainable.
PurposeThe purpose of this paper is to analyze the impact of microfinance programs on the income and food expenditure of farm and nonfarm households in Thailand.Design/methodology/approachThe study employs secondary data from the Thai Socioeconomic Survey (cross-sectional data from 2017 and panel data from 2012 to 2017). The cross-sectional data (2017) include 43,210 households. Panel data from the 2012 and 2017 Socioeconomic surveys (SES surveys) include 4,406 households. The estimation methods include propensity score matching (PSM) and a fixed effect (FE) model.FindingsThe result shows that village funds (VFs) have a significant negative impact on income and food expenditure for both farm and nonfarm households. The empirical results reveal that the saving groups for production (SGPs) effects are positively significant in terms of income and food expenditure, but only for farm households. The FE model result also shows that while VFs have a negative impact on income they have a positive impact on food expenditure for farm households. In contrast, SPGs have no impact on both farm and nonfarm households' income and food expenditure.Practical implicationsFarm and nonfarm households require both welfare and microfinance programs. Microfinance programs can only help these households once they have the necessary education. The government should provide social programs and business skills for these households; completion of these courses should be a pre-requisite for accessing microfinance programs.Originality/valueThis study is unique because it reveals the microfinance impact between VFs and SGPs programs so that most low-income and poor people in Thailand can access basic financial services.
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