Data

Microfinance and Poverty in Bangladesh

Macquarie University
Dr Pundarik Mukhopadhaya (Owned by, Managed by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://researchdata.ands.org.au/view/?key=http://hdl.handle.net/1959.14/211837&rft.title=Microfinance and Poverty in Bangladesh&rft.identifier=http://researchdata.ands.org.au/view/?key=http://hdl.handle.net/1959.14/211837&rft.publisher=Macquarie University&rft.description=Bangladesh is a heavily poverty stricken country. Two major kinds of organisations look at the situation of the poor and reduce the extent and incidence of poverty: Government organisations and Non-Government Organisations (NGOs). The project sought to evaluate the relative efficiency of handling microfinance projects, comparing Government and NGO approaches, by asking the poor people directly. Participants were surveyed about how satisfied they were with the approach of the organisation; aspects related to the loan, such as the interest rate; and the level of support they received over and above the loan, such as support with schooling and health facilities.   This data is peceptions of the microcredit borrowers toward the service delivery effiency of the credit providers. The data conatins; Formal questionnaire survey: Non-numerical, numerical, categorical data, Yes-No, ranking. 78 villages surveyed across 8 Districts and 23 Upazilas. Focus-group discussion to select most poverty stricken villages: 1082 people surveyed with surveys in local language. Intermediate data products: SPSS, AMOS, Excel. All data is de-identified since no participants were asked to give a name.&rft.creator=Dr Pundarik Mukhopadhaya&rft.date=2013&rft.coverage=Bangladesh&rft_subject=Applied Economics not elsewhere classified&rft_subject=ECONOMICS&rft_subject=APPLIED ECONOMICS&rft_subject=labour economics&rft_subject=Microfinance&rft_subject=Poverty&rft.type=dataset&rft.language=English Access the data

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Full description

Bangladesh is a heavily poverty stricken country. Two major kinds of organisations look at the situation of the poor and reduce the extent and incidence of poverty: Government organisations and Non-Government Organisations (NGOs). The project sought to evaluate the relative efficiency of handling microfinance projects, comparing Government and NGO approaches, by asking the poor people directly. Participants were surveyed about how satisfied they were with the approach of the organisation; aspects related to the loan, such as the interest rate; and the level of support they received over and above the loan, such as support with schooling and health facilities.  

This data is peceptions of the microcredit borrowers toward the service delivery effiency of the credit providers.

The data conatins;

  • Formal questionnaire survey: Non-numerical, numerical, categorical data, Yes-No, ranking. 78 villages surveyed across 8 Districts and 23 Upazilas.
  • Focus-group discussion to select most poverty stricken villages: 1082 people surveyed with surveys in local language.
  • Intermediate data products: SPSS, AMOS, Excel.

All data is de-identified since no participants were asked to give a name.

Data time period: 10 09 2009 to 10 12 2009

This dataset is part of a larger collection

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Spatial Coverage And Location

text: Bangladesh

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ACN 633 798 857