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on Microfinance |
| By: | Bogale Berhanu Benti (University of Antwerp, Belgium) |
| Abstract: | As per the World Bank report (2015), in 2000 Ethiopia had one of the highest poverty rates in the world, with 56 percent of the population living on less than (U.S.) $1.25 purchasing power parity (PPP) a day. According to International Fund Agricultural Development (2008), “Under the IFAD, initiated Rural Financial Intermediation Programme (RUFIP), impressive results have been achieved over the past five years in expanding outreach in the delivery of financial services by operationally sustainable microfinance institutions (MFIs) and RUSACCOs, with the clientele growing from about 700,000 to nearly 2 million poor rural households. The programme has demonstrated the potential of rural finance in enabling a large number of poor people to overcome poverty. Women account for about 30 per cent and 50 per cent of beneficiaries of MFIs and RUSACCOs respectively. However, much remains to be done, particularly in improving management information systems and expanding outreach to access-deficit and pastoral areas†Republic (2008). Based on the strategy of poverty eradication, microfinance institutions are playing significant role on the reduction of poverty and increase source of income by providing financial services, such as saving and credit to rural poor household society particularly poor women household. Therefore Amhara credit and saving institution (ACSI) has a significant effect on poverty alleviation and the institution stands for poor rural household and enable them to invest small sum of money in productive activity. |
| Keywords: | microfinance, poverty reduction strategy, sustainability |
| Date: | 2019–11 |
| URL: | http://d.repec.org/n?u=RePEc:smo:ipaper:43bb&r=all |
| By: | Vuong, Bui Nhat; Hieu, Vo Thi; Trang, Ngo Thi Thuy |
| Abstract: | Mobile phones with banking technology are becoming more readily available in Vietnam. Similarly, many financial institutions and mobile phone service providers are teaming up to provide several banking services to customers via the mobile phone. However, the number of people who choose to adopt or use such technologies is still relatively low. Therefore, there is a need to assess the acceptance of such technologies to establish factors that hinder or promote customer’s intention to use mobile banking. Survey data collected from 452 consumers was analyzed to provide evidence. Results from the partial least squares structural equation modeling (PLS-SEM) using the SmartPLS 3.0 program indicated that perceived easy to use, perceived credibility, usefulness, attitude, perceived behavioral control and subjective norm are significant with respect to the customer’s intention to use mobile banking services. The results of the data analysis contribute to the body of knowledge by demonstrating that the above factors are critical in intention to use mobile banking in a developing country context. The finding of this study can also help marketers in the banking sector offer more suitable marketing strategies in their field in order to make higher attractiveness with mobile banking services. |
| Date: | 2019–12–21 |
| URL: | http://d.repec.org/n?u=RePEc:osf:osfxxx:6dzyq&r=all |
| By: | Pushkar Maitra (Department of Economics, Monash University, Clayton Campus, VIC 3800, Australia.); Sandip Mitra (Sampling and Official Statistics Unit, Indian Statistical Institute, 203 B.T. Road, Kolkata 700108, India.); Dilip Mookherjee (Department of Economics, Boston University, 270 Bay State Road, Boston, MA 02215, USA.); Sujata Visaria (Department of Economics, Lee Shau Kee Business Building, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong.) |
| Abstract: | We compare two different methods of appointing a local commission agent as an intermediary for a credit program. In the Trader-Agent Intermediated Lending Scheme (TRAIL), the agent was a randomly selected established private trader, while in the Gram Panchayat-Agent Intermediated-Lending Scheme (GRAIL), he was randomly chosen from nominations by the elected village council. More TRAIL loans were taken up, but repayment rates were similar, and TRAIL loans had larger average impacts on borrowers’ farm incomes. The majority of this difference in impacts is due to differences in treatment effects conditional on farmer productivity, rather than differences in borrower selection patterns. The findings can be explained by a model where TRAIL agents increased their middleman profits by helping more able treated borrowers reduce their unit costs and increase output. In contrast, for political reasons GRAIL agents monitored the less able treated borrowers and reduced their default risk. |
| Keywords: | Targeting, Intermediation, Decentralization, Community Driven Development, Agricultural Credit, Networks JEL: H42, I38, O13, O16, O17 |
| Date: | 2020–01 |
| URL: | http://d.repec.org/n?u=RePEc:hku:wpaper:202070&r=all |