PROJECTS

Mobile Banking and Remittance among Migrant Workers: Experimental Evidence from Bangladesh

Category: Financial Inclusion
Principal Investigator:

• Dr. Abu S. Shonchoy
• Dr. Jonathan Morduch
• Dr. Jean N. Lee
 

Status: Completed
Description:

The experiment, titled “Mobile Banking and Remittance among Migrant Workers: Experimental Evidence from Bangladesh”, is being conducting to understand impacts of mobile banking among urban migrant workers and their rural households in Bangladesh using  field experiment.

MOMODa in a partner's collaboration with New York University, South Asian Network on Economic Modeling (SANEM), International Growth Centre (IGC) and Gana Unnayan Kendra (GUK) implemented the project.

The aims of the project are to analyze the adoption behavior of mobile banking service, and the impact of using the service on wellbeing and shock absorption capacity of the participants of the experiments.
From

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Labor Market study

Category: Labor Market
Principal Investigator:

• Dr. Abu S. Shonchoy
• Dr. Selim Raihan
• Dr. Tomoki Fujii
 

Status: Completed
Description:

Bangladesh has been a success story in promoting employment for its growing population. Taking advantage of their abundance of relatively low-skilled labor, Bangladesh engaged in world markets through light manufacturing, which created wage employment in large numbers, providing opportunities for rural migrants. The expansion of the light manufacturing sector has allowed for the integration of young women to the labor market. Agricultural modernization, labor migration, and social policies have altered the jobs landscape of Bangladesh, but these changes have not generated a major formalization and the share of formal jobs has not increased much over the past decade.
Concerns

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Reducing Ultra Poverty with Packaged Microfinance: A Field Experiment

Category: Microfinance
Principal Investigator:

• Dr. Seiro Ito
• Dr. Abu S. Shonchoy
• Dr. Kazushi Takahashi
• Dr. Takashi Kurosaki
 

Status: Completed
Description:

Growing Micro-Finance Institutions (MFIs) has been affecting the lives of poor population around the world in many ways. Observation shows that some people are using loans to meet their daily needs which otherwise, in most cases, are met by regular earnings. As ultra-poor usually remain in cash crisis, they use the credit for the purposes other than mentioned one during applying at MFIs. Considering this hypothesis, the experiment intends to analyze the effectiveness of packaged micro-finance in lifting ultra-poor out of poverty.
With an aim to experiment the effectiveness of packaged microfinance in reducing poverty the project titled “Reducing

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Seasonal Credit for Tenant Share-cropping Farmers

Category: Microfinance
Principal Investigator:

• Dr. Abu S. Shonchoy

• Dr. Hisaki Kuno
 

Status: Completed
Description:

In Bangladesh, agriculture sector has the largest concentration of labor force though it contributes only about 20% of GDP. Among the farmers (agricultural labor), most them have no land of their own. They usually work as agricultural day labor. However, among landless farmers some them are tenant and share croppers. Sharecroppers usually has to share about and sometimes more than 50% of their production. Though sharecropping is usually less profitable to farmers than fixed rent, however, due to liquid crisis farmers often have to go for sharecropping.
To meet the farmers’ demand for liquid money central bank of Bangladesh

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The Demand for and the Impacts of Solar Lanterns in Northern Part of Bangladesh

Category: Education
Principal Investigator:

• Dr. Abu S. Shonchoy
• Dr. Yuya Kudo
• Dr. Kazushi Takahashi

Status: Completed
Description:

With the Fund assistance by IDE-JETRO, Japan and KOPERNIK, Indonesia “The Demand for and the Impact of Solar Lantern in Northern Part of Bangladesh” has started its journey from April 2013 with conducting rigorous school visit in the form of Participatory Rural Appraisal (PRA). Visit to 28 schools and meeting with School Management Committees (SMCs) and teachers have produced a pool of around 2500 population’s short data set to choose potential samples among. Among 2500 population we have chosen 1292 sample to conduct a baseline survey (panel 1). Finally, after sorting out through rigorous scrutiny we have conducted baseline survey

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