The green microcredit project in Bangladesh started with the focus of promoting environmental-friendly livelihood practices among the rural marginalized people whose livelihoods were dependent on the extraction of local natural resources. This research examined at the livelihood practices and the livelihood capital of the green microcredit borrowers in Arpara, under Magura District, and in Borlekha, under Moulvibazar District, Bangladesh. Using the Department for International Development, UK (DFID) sustainable livelihood framework, the research analyzed the changes in the borrowers’ capital. The research used both qualitative and quantitative approaches to collect field data using different PRA tools and a survey. It was clear from the research that green microcredit is becoming more popular among the natural resource-dependent borrowers. It was also apparent that the green microcredit borrowers have greater social and human capital than the conventional microcredit borrowers. Although the concept has been in practice for only a short duration, the success of the green microcredit project has encouraged other borrowers to opt for green microcredit. In its short existence, the green microcredit project has had some successes and setbacks. During the data collection process, several strengths and weaknesses were identified. In the concluding chapter, a few recommendations have been put forward keeping in mind the strengths and weaknesses of the project. The positive effects of green microcredit on the environment and natural resource base could be seen in the long run if and when the project is scaled up.
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:MWU.1993/23293 |
| Date | 07 February 2014 |
| Creators | KHAN, MOHAMMAD MOHAIMINUZZAMAN |
| Contributors | Haque,Emdad (NRI), Henley, Thomas (NRI) Islam, Faisal (NRI) Shukla, Shailesh (Indigenous Studies, UofW) |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Detected Language | English |
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