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Research Detail

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Paresh Kumar Sarma
Scientific Officer
Bangladesh Agricultural University Research System, Bangladesh Agricultural University, Mymensingh-2202, Bangladesh

The study presents the issues of rural women in Sadar Upazila of Gazipur district considering their participation in micro credit programs for poverty alleviation. Data were collected from 75 BRAC women beneficiaries of four villages following random sampling techniques. On the basis of credit, the respondent’s have been classified into three categories. These are:  i) A-small credit (up to Tk.4000) ii) B-Medium credit (Tk.4001-7000) and iii) C-Large credit (Tk.7001-10000). Average credits received by the respondents were Tk. 3250, Tk. 5875, and Tk. 8895 by small, medium, and large categories, respectively. The average annual income and savings of the respondents were Tk. 24245 and Tk. 1106, respectively. The repayment rate was 69.81 percent. Level of education, size of own land area, amount of income, savings and amount of loan received were found to be positive contribution to loan repayment performance.  The study clearly hints that micro credit provides greater opportunity for rural poor women to improve their socioeconomic conditions.

  Rural women, Participation, Micro Credit
  Gazipur
  01-01-2009
  31-12-2012
  Socio-economic and Policy
  Credit
  1. To determine the socioeconomic characteristics of the women beneficiaries in the study area;
  2. To analyze the amount of loan,  utilization  patterns and repayment performance of the respondents;
  3. To assess the impact of different influencing variables on the respondent’s repayment performance.

Four villages namely Dakshin salana, Kathora, Dighirchala and Sharifpur under Gazipur Sadar Upazila  of Gazipur district were purposively selected for this study. After selection of villages, a list of current beneficiaries (2010/2011) was collected from the BRAC branch office situated at Chandana.. A total number of 75 women loanees were selected from the villages. A random sampling technique was followed in this study. The data was collected in July 2011 and completed within 50 days. The researchers collected necessary primary data through personal interview with the individual women. Tabular analysis was done to compare with different loan categories. Multiple regression (Gujrati, 1995) analysis was used to determine the impact of different independent variables on loan repayment of the loanees which was specified as:

         Y = a+b1x1+b2x2+b3x3+b4x4+b5x5+b6x6+ei

Where,

           Y   = Amount (Tk.) of loan repaid by the respondents

           X1      = Age of the respondents, measured in years

           X2      = Respondent’s own land area

           X3      = Respondent’s education, measured by year of schooling

           X4      = Respondent’s income

           X5      = Respondent’s savings

           X6      = Amount (Tk.) of loan received from BRAC by the respondents

           a    = Constant

           b    = Regression co-efficient

           ei       = Error term 

  J. Bangladesh Agril. Univ. 10(2): 277–282, 2012, ISSN 1810-3030
  
Funding Source:
  

The study found that the repayment rate was 69.81 percent. Level of education, size of own land area, amount of income, savings and amount of loan received were found to be positive contribution to loan repayment performance. 

  Journal
  


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