Seasonal and extreme poverty in Bangladesh : evaluating an ultra-poor microfinance project

Microfinance is often criticized for not adequately addressing seasonality and hard-core poverty. In Bangladesh, a program known as PRIME was introduced in 2006 to address both concerns. Unlike regular microfinance, PRIME introduces a microfinance scheme that offers a flexible repayment schedule and consumption smoothing, as well as production, loans. It targets the ultra-poor, many of whom are also seasonally poor, with a severe inability to smooth consumption during certain months of the year. Besides providing loans, PRIME offers extension and training services. This paper uses a quasi-experimental survey design to evaluate PRIME against regular microfinance programs. The results show that PRIME is more effective than regular microfinance in reaching the ultra-poor, as well as the seasonal poor. PRIME also helps reduce seasonal deprivation and extreme poverty. Although the program has demonstrated its promise, it is too early to conclude whether the accrued benefits are large enough to contain both seasonal and chronic poverty on a sustained basis.Rural Poverty Reduction,Regional Economic Development,Food&Beverage Industry,Debt Markets

Dynamics of market share in the microfinance industry in Bangladesh

We discuss evidence that the microcredit industry in Bangladesh has seen emergence of large variations in the size of the microfinance institutions operating in the market-- on the one hand, there are large national-level MFIs, while on the other hand, small localized MFIs operating only within the confines of a small area. Data from a recent survey of Pathrail union in Tangail district, a seasoned place for microcredit, reveals that within the local market competition is becoming more and more intense over time between established national-level MFIs and newly emerging local-level MFIs for market shares in terms of loan amount as well as borrowed members. Data reveals that there is market segmentation where some borrowers and MFIs opt for a package of low interest rates tied with low amount of loan disbursed and some other borrowers and MFIs settle for a package of high interest rates tied with high amount of loan disbursed. A Tobit regression estimation of member market shares in village micro credit market shows that size of the MFI, years of operation in the village, average loan size, deposit interest rates, loan amount disbursed for unique loan purposes (i.e., housing loan) are key determinants in determining MFI shares of a village microcredit market.Microcredit; Market Share; Product and Provider Characteristics of Microcredit

Political Economy and Rural Loan Recovery: An Example for Bangladesh

The rural loan recovery problem in developing countries is frequently analyzed from borrowers and institutional perspectives. But a frequently overlooked problem is that borrowers often are discouraged to repay or institutions are not aggressive enough to recover loans because of political interventions of the government into rural financial markets to derive the benefits of getting re-elected. Failure to address this dimension in recovery analysis may lead to an incorrect prescription of policies. This paper provides an empirical analysis of how political interventions affect rural loan recovery in Bangladesh. The government in Bangladesh intervenes into rural loan allocation and recovery indirectly through financial policies - interest exemption, loan targeting, interest rates - and directly through local political leaders and government officials. The intensity of direct intervention is expected to increase during an election period. Four variables - inflation rate, election years, interest exemption years, and bank type - were included in the model. The empirical results showed that election, inflation rate, and bank type affect the loan recovery negatively, and interest exemption positively

Comparing modelled predictions of neonatal mortality impacts using LiST with observed results of community-based intervention trials in South Asia

Background There is an increasing body of evidence from trials suggesting that major reductions in neonatal mortality are possible through community-based interventions. Since these trials involve packages of varying content, determining how much of the observed mortality reduction is due to specific interventions is problematic. The Lives Saved Tool (LiST) is designed to facilitate programmatic prioritization by modelling mortality reductions related to increasing coverage of specific interventions which may be combined into packages

Bank Branches and Rural Deposits: Evidence from Bangladesh

Revised August, 1990. Originally released as ESO 1462, May, 1988

The Determinants of Rural Deposits in Bangladesh

A simultaneous relationship between interest-bearing deposits and rural bank branch density exists in Bangladesh. Permanent income directly affects bank density and indirectly affects deposits. Bank density and availability of roads and vehicles affect depositor behavior through their effect on transaction costs. Transitory income and literacy also positively affect deposits