Mohammad Zamirul Islam, Abu Sayed Md. Al Mamun, Md. Nazrul Islam Mondal, Md. Mahbubul Islam and Yong Zulina Z.
WomenÃ¢â‚¬â„¢s empowerment has become an important index of the development indicators globally. This paper proposes an index on womenÃ¢â‚¬â„¢s empowerment (WEI) working in the agricultural sector of Bangladesh. To conduct this study, 385 female agricultural laborers of the northern part of Bangladesh were selected for data collection using multi-stage sampling technique. The cross-sectional data has been used for univariate analysis, to carry out the description of the variables; bivariate analysis, to find the associations among the variables; and binary logistic regression analysis, to evaluate the effects of selected socioeconomic factors on WEI. The results revealed that the average WEI value was 52.70. In Chi-square test, respondentsÃ¢â‚¬â„¢ age, marital status, family head, physical fitness, family income, religion, and education were found statistically significantly associated with WEI. Finally, the binary logistic regression model identified respondentsÃ¢â‚¬â„¢ age and education were the significant predictors of WEI. To increase WEI, education among women should be enhanced.
Keyword: Empowerment index; Mobility indicator; power indicator; Political indicator; regression model