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Insights of Handloom Producers of Sirajganj District in Bangladesh
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This study was undertaken to measure the current socioeconomic and profitability status of the traditional handloom producers living in Sirajganj district of Bangladesh. Primary data were collected from 60 randomly selected handloom owners. Two main products were considered in this study, i.e., sharee and gamcha . Descriptive statistics and cost-return analysis were performed to assess the present situation and profitability of handloom production. The Gini Coefficient and Lorenz Curve measured inequality among respondents. A log transformed multiple linear regression model was applied to explore the factors influencing handloom products production. Results revealed that most of the handloom weaving was financed through the weavers’ own capital and taking loans from the bank. The undiscounted benefit-cost ratios were 1.12 and 1.20 for sharee and gamcha, respectively, indicating both enterprises were profitable but gamcha was more profitable than sharee. The Gini Coefficient of handloom weavers’ income is less than 0.25. Results from the regression analysis revealed that human labour, yarn, color, and processing cost significantly impacted sharee and gamcha production. Therefore, efficient utilization of these resources in the production process of handloom products would be essential that can bring more profit for handloom production.
Bangladesh Academy of Sciences
Title: Insights of Handloom Producers of Sirajganj District in Bangladesh
Description:
This study was undertaken to measure the current socioeconomic and profitability status of the traditional handloom producers living in Sirajganj district of Bangladesh.
Primary data were collected from 60 randomly selected handloom owners.
Two main products were considered in this study, i.
e.
, sharee and gamcha .
Descriptive statistics and cost-return analysis were performed to assess the present situation and profitability of handloom production.
The Gini Coefficient and Lorenz Curve measured inequality among respondents.
A log transformed multiple linear regression model was applied to explore the factors influencing handloom products production.
Results revealed that most of the handloom weaving was financed through the weavers’ own capital and taking loans from the bank.
The undiscounted benefit-cost ratios were 1.
12 and 1.
20 for sharee and gamcha, respectively, indicating both enterprises were profitable but gamcha was more profitable than sharee.
The Gini Coefficient of handloom weavers’ income is less than 0.
25.
Results from the regression analysis revealed that human labour, yarn, color, and processing cost significantly impacted sharee and gamcha production.
Therefore, efficient utilization of these resources in the production process of handloom products would be essential that can bring more profit for handloom production.
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