Data on the factors driving the decision of rural people to move into the city.

The data set explores the driving factors of migration of rural people to the cities. Primary data were collected purposively from 172 farm households from three upazilas of kishoreganj district in Bangladesh. Among 172 households, 89 households had at least one migrant member and 83 households were without any migrant member. Probit model was used to analyze factors of migration decision at the household level. Data set reveals that various factors motivate the decision of the farm households for their member to move into the city. Among which household head age, number of active male member in the family and value of the household asset holding significantly influence migration decision. Beside econometric analysis, household's perception on different motivating factors of migration was also assessed. Most of the households perceived that too many family members, poor living condition, migrant's family influence and job availability in the city mostly motivate the people for migration into the city along with other driving factors.

Factors associated with child and maternal dietary diversity in the urban areas of Bangladesh.

Dietary diversity is an indicator of nutrition that has been found positively associated with diet quality, micronutrient adequacy, and improved maternal health and child growth. Due to the cultural responsibility of women in providing food at the household level, their status is very important to perform this role. Hence, this study has been conducted on the status of dietary diversity of the mother and child to understand how it relates to various factors of women in urban settings. Data were obtained from 1978 mother-child pairs living in different cities in Bangladesh. The foods taken by the women and children were categorized into 10 and 7 groups to measure women's dietary diversity (WDD) and children's dietary diversity (CDD), respectively. The study found that more than three-fourths of the mothers and half of the children had low dietary diversity. The household wealth holdings and access to resources by the women were found inadequate, while two-thirds of them had the lowest to medium level of nutritional knowledge. The binomial logistic regression model was used to measure the factors influencing WDD and CDD. The findings also indicated that children's dietary diversity was influenced by the mother's age, education, supportive attitude and behavior of husband, and access to and control over resources. While the household wealth index can enhance both child and mother's dietary variety, nutrition knowledge, dietary counseling, and access to and control over resources can improve maternal dietary diversity. This study recommends improving women's socioeconomic status by increasing their wealth and access to resources and enhancing their nutrition knowledge by providing food and nutrition counseling.

Mothers' dietary diversity and associated factors in megacity Dhaka, Bangladesh.

Mothers in developing countries are nutritionally vulnerable due to an undiversified diet. Dietary diversity and healthy dietary patterns of mothers are necessary for the health and nutrition of both the mother and the child. Keeping these in mind, the study was designed to investigate the determinants of mothers' dietary diversity in the capital city (Dhaka) of Bangladesh. A total 613 mothers who had at least one child aged 6-59 months were surveyed in 2020. Dietary diversity (DD) was measured by 24 h recall period following the established guidelines. To explore the determinants of dietary diversity, a log linear regression model was employed. The findings revealed that the overall DD of mothers was low, with less than 15% of respondents consuming more than 5 of the 9 food groups. The study found that if a mother receives one more year of formal education, her DD, on average, would increase by 0.70%. Receiving antenatal care (ANC) for four or more times during pregnancy increases DD by 5.13% compared to mothers who receive ANC less than four times. The findings also showed that mothers with access to assets have 10.18% higher DD than mothers without access to assets. On the other hand, mothers' employment status was negatively associated with DD. Redistributing the household workload between mother and other household members can play a critical role in increasing mothers' DD. Providing care facilities and counseling to mothers about the nutritional value of consuming different food groups can substantially improve the situation.

Nutritional status of under-five aged children of ready-made garment workers in Bangladesh: A cross-sectional study.

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.

Willingness to pay for adopting conservation tillage technologies in wheat cultivation: policy options for small-scale farmers.

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.