Abstract
Non-governmental Organizations (NGOs) evolved in Bangladesh with the commitment of bringing positive social change and attaining balanced socio-economic development through the disbursement of micro-credit among the marginal people in society. The main intention of the study is to assess the impact of micro-credit on the overall socio-economic development of micro-credit receivers. The Chi-square (χ2) and Multinomial Logistic Regression techniques have applied on primary data collected from 260 beneficiaries of micro-credit of ASA and BRAC NGOs in the Mymensingh district of Bangladesh. The χ2 analysis shows that the amount of micro-credit taken has a significant positive impact on respondents’ type of home, sanitation facilities, ownership of other household assets, health service received, yearly income, expenditure, and savings, and participation in family’s decision making, whereas an insignificant relationship is observed for occupational status, children education, ownership of land and livestock, sources of drinking water, economic solvency, and social status of the respondents.
Highlights
Introduction its vast populationConsidering these overall situations, the Non-governmental Organizations (NGOs) are working on poverty eradication by directlyNGOs are those organizations, which are involved in the development or welfare-oriented activities (Begum, Zaman and Khan, 2004)
The Chi-square (χ2) and Multinomial Logistic Regression techniques have applied on primary data collected from 260 beneficiaries of micropresent NGOs have come forward to provide social services to people of this country
Considering these overall situations, the NGOs are working on poverty eradication by directly
Summary
The analysis revealed significant relationship between yearly income and amount of loan taken, i.e., χ2 (df = 4, N = 260) = 12.43, p = 0.01 It indicates the amount of loan taken has a significant positive impact on the yearly income of the respondents. The analysis revealed significant relationship between yearly expenditure of the respondents’ and amount of loan taken, i.e., χ2 (df = 4, N = 260) = 9.65, p = 0.05 It indicates the amount of loan taken has a significant positive impact on the yearly expenditure of the respondents. The analysis revealed a highly significant relationship between yearly savings of the respondents and the amount of loan taken, i.e., χ2 (df= 4, N = 260) = 15.02, p = 0.00.
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