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Traditional farming involves intensive tillage causing soil degradation and erosion. On the contrary, conservation tillage technologies are expensive to purchase for small-scale farmers. However, the adoption of these technologies reduces soil tillage costs which lead to reduced overall production costs. In this milieu, this study assessed the willingness to pay (WTP) for adopting conservation tillage technologies in terms of individual and cooperative payment systems using the primary data collected from 320 wheat farmers in Bangladesh. The contingency valuation method (CVM) was followed to estimate their WTP, and factors affecting WTP were identified through the logistic regression model. The results elicited farmers perceived that conservation tillage technologies would facilitate by reducing costs, timely land preparation, seed sowing and planting, appropriate positioning of seed and fertilizers, and higher soil moisture. Nevertheless, most of the farmers wanted to adopt conservation tillage technologies, while about 79% would like to pay for it. Although farmers' average WTP for individual purchases was higher, most were interested in the cooperative systems for adopting conservation tillage machines. Farmers' WTP for both individual and cooperative purchases was influenced by location of wheat production, farming experience, and demonstration plots. Additionally, individual payment system was affected by the amount of wheatland and training while credit affected the cooperative purchase system. Besides, the farmers would like to expand their wheat farms by approximately 73.33% after adopting conservation tillage technologies. The refusal to pay for conservation tillage technologies was mostly due to low-quality spare parts, lack of technical understanding, and unawareness of the technology. This study suggests that providing training among farmers and operators, credit support, and making machines and spare parts available in the nearest markets would support adopting conservation technologies. Besides, cooperative-based payment system should be formed to help small-scale farmers adopt conservation tillage techniques for sustainable agriculture in an environment-friendly way.

Background The ready-made garment (RMG) sector is a significant contributor to the economic growth of Bangladesh, accounting for 10% of the country’s GDP and more than 80% of its foreign exchange earnings. The workforce in this sector is predominantly made up of women, with 2.5 million women working in the industry. However, these women face numerous challenges in carrying out their culturally-expected household responsibilities, including childcare, due to severe resource constraints. As a result, the children of these working women have a higher incidence of malnutrition, particularly stunted growth. This study aims to identify the factors that contribute to stunting in children under the age of five whose mothers work in the RMG sector in Bangladesh. Methods The study collected data from 267 female RMG workers in the Gazipur district of Bangladesh using a simple random sampling technique. Chi-square tests were used to determine the associations between the factors influencing child stunting, and Multinomial Logit Models were used to estimate the prevalence of these factors. Results The study found that the prevalence of moderate and severe stunting among the children of RMG workers living in the Gazipur RMG hub was 19% and 20%, respectively. The study identified several significant predictors of child stunting, including the mother’s education level, nutritional knowledge, control over resources, receipt of antenatal care, household size, sanitation facilities, and childbirth weight. The study found that improving the mother’s education level, increasing household size, and receiving antenatal care during pregnancy were important factors in reducing the likelihood of child stunting. For example, if a mother’s education level increased from no education to primary or secondary level, the child would be 0.211 (0.071–0.627) and 0.384 (0.138–1.065) times more likely to have a normal weight and height, respectively, than to be moderately stunted. Conclusion The study highlights the challenges faced by working women in the RMG sector, who often receive minimal wages and have limited access to antenatal care services. To address these challenges, the study recommends policies that support antenatal care for working-class mothers, provide daycare facilities for their children, and implement a comprehensive social safety net program that targets child nutrition. Improving the socioeconomic status of mothers is also critical to reducing child malnutrition in this population.

In Dhaka city and its fringe peri-urban sprawls water for domestic use is an increasingly contested commodity. The location of our research, Gazipur district, bordering the growing city of Dhaka, is the heartland of Bangladesh’s Ready Made Garments (RMG) industry, which has spread unplanned in former wetlands and agrarian belts. However, unlike Dhaka, the almost fully industrialized peri-urban areas bordering the city, like many other such areas globally, function in an institutional vacuum. There are no formal institutional arrangements for water supply or sanitation. In the absence of regulations for mining groundwater for industrial use and weakly enforced norms for effluent discharge, the expansion of the RMG industry and other industries has had a disproportionate environmental impact. In this complex and challenging context, we apply a political economy lens to draw attention to the paradoxical situation of the increasingly “public” lives of poor Bangladeshi women working in large numbers in the RMG industry in situations of increasingly “private” and appropriated water sources in this institutionally liminal peri-urban space. Our findings show that poorly paid work for women in Bangladesh’s RMG industry does not translate to women’s empowerment because, among others, a persisting masculinity and the lack of reliable, appropriate and affordable WASH services make women’s domestic water work responsibilities obligatory and onerous.

The study was designed to relate fruit consumption with income and determine the influencing factors of fruit consumption at Bangladesh Agricultural University (BAU) and its surroundings. Data were collected through direct interviews from 155 respondents (90 fruit buyers and 65 non-buyers) who were selected through random sampling techniques. Descriptive statistics, Logit and Tobit model were applied to get meaningful results according to the stated objectives. The findings presented that, except banana, apple, grapes and orange had positive correlation with income and fruit consumption. Banana consumption has found negatively correlated with income. Regression results revealed that per head income and nutritional knowledge has positive and significant influence which leads to the increase in fruit consumption of buyers. On the other hand, gender inequality and higher price of fruits decrease the amount of fruit consumption. From the result of the Tobit model, we found that gender, education level, per head income, nutritional knowledge increases the fruit consumption of consumers. On the other hand, higher prices of fruits decrease the amount of fruit consumption.

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.