This study assessed whether agricultural and household incomes were the same across different agro-ecological environments in Bangladesh. An in-depth analysis of the effect of unfavourable ecologies on maternal and child malnutrition was carried out. Data were from a longitudinal data set comprising a nationally representative data sample collected in 2014 and the Food Security Nutrition Surveillance Project (FSNSP) conducted in 2011 and 2012. Anthropometric indices were used to assess the nutritional status of mothers and under-five children. The key variables of interest were food seasonality and geographical location. Data were analysed using the General Linear Model and multinomial and binary logistic regression analysis. Panel data analysis showed that household income was not equal across agro-ecological zones, indicating that the fragility of the environment affects a household’s ability to access food, and thus the nutritional status of mothers and children. Coastal areas of Bangladesh were found to be less dependent on agriculture, particularly cultivation, which had diminished during last few decades. Per capita income has been increasing in coastal areas of Bangladesh, led by remittance (money sent home by migrant workers) growing at 8% per year against 6% in other areas. Regression analysis showed that a household in a coastal zone earned 19% less than one in more favourable zones. Although the income from farm practices was found to be lower in unfavourable areas, the deficiency was compensated by increased non-farm incomes. The results from the FSNSP data showed that overall the rates of stunting and wasting among under-five children were 37% and 11.7%, respectively, and nearly 28% of mothers suffered from undernutrition. A highly significant regional heterogeneity in undernutrition was found, with alarmingly high levels in the Haor Basin and coastal belt areas. There were significantly higher rates of underweight and wasting in the monsoon season compared with the two harvest seasons among children under the age of five. The findings stress the importance of bringing geographical location and seasonality thinking into debates on hunger and nutrition in Bangladesh.

Using data from India’s National Family Health Survey, 2005–06 (NFHS-3), this article examines the patterns of relationship between birth order and infant mortality. The analysis controls for a number of variables, including mother’s characteristics such as age at the time of survey, current place of residence (urban/rural), years of schooling, religion, caste, and child’s sex and birth weight. A modest J-shaped relationship between birth order of children and their risk of dying in the neonatal period is found, suggesting that although both first- and last-born children are at a significantly greater risk of dying compared with those in the middle, last-borns (i.e. fourth and higher order births) are at the worst risk. However, in the post-neonatal period first-borns are not as vulnerable, but the risk increases steadily with the addition of successive births and last-borns are at much greater risk, even worse than those in the neonatal period. Although the strength of relationship between birth order and mortality is attenuated after the potential confounders are taken into account, the relationship between the two variables remains curvilinear in the neonatal period and direct in the post-neonatal period. There are marked differences in these patterns by the child’s sex. While female children are less prone to the risk of dying in the neonatal period in comparison with male children, the converse is true in the post-neonatal period. Female children not only run higher risks of dying in the post-neonatal period, but also become progressively more vulnerable with an increase in birth order.

Child marriage has significant negative impacts, not only for girls, but also for a range of development outcomes. This study aimed to assess, in a more detailed way than done so far, the magnitude of the relationship between child marriage and total fertility in multiple countries representing diverse settings. Data from the most recent Demographic and Health Surveys in the fifteen countries of interest were used. Analysis was restricted to a subsample of women aged 35–49 years in order to capture completed fertility. Poisson regression was conducted to estimate the impact of each additional year of early marriage on the total number of births women have, controlling for selected sociodemographic characteristics. Counterfactual analyses were carried out to estimate the reduction in the number of children that women would have over their lifetime in the absence of child marriage. Controlling for socioeconomic and other characteristics, girls who marry as children have more children over their lifetime than women marrying after the age of 18. Nationally, across fifteen countries, the reduction in total fertility from ending child marriage ranges from 0.24 to 1.06 children per woman. The simulated change in total fertility that would result from ending child marriage tends to be higher in countries that have a higher incidence of child marriage.

In contrast to the extensive knowledge on the association between women’s empowerment and the nutritional status of children under the age of five, relatively little is known about the influence of women’s empowerment on adolescents’ nutritional status. This study aimed to assess the association between women’s empowerment and gender inequalities in adolescent nutritional status. Data were from the Indonesian Family Life Survey (IFLS) covering the period 1997 to 2015, and consisted of 16,683 observations from 13,396 adolescents between the ages of 10 and 19 years born in 6781 families. Three indicators of women’s empowerment were used: mother’s education, mother’s bargaining power and mother’s working status. Multivariate linear regression with robust standard errors was used to examine whether and how these indicators of women’s empowerment influenced adolescent nutritional status. Interaction terms were added to analyse how the association between women’s empowerment and adolescent nutritional status differed by gender. The results showed that mother’s education and mother’s working status were significantly associated with adolescent nutritional status, particularly with height-for-age. Adolescents of well-educated mothers had a higher height-for-age while those who were raised by mothers with a blue-collar job had a lower height-for-age. Although no gender differences were found for height-for-age, gender differences for BMI-for-age were obvious, with boys having a lower BMI-for-age than girls. Interactions between indicators of mother’s empowerment and gender showed that the gender gap in BMI-for-age was smaller for adolescents of more educated mothers. However, further analyses of food consumption patterns showed that boys whose mothers were more educated consumed more fast food and had higher instant noodle consumption than girls, thus suggesting gender bias in new disguise.

The desire for children could be considered a reliable predictor of subsequent fertility. At the same time, the sex composition of surviving children, along with other demographic and socioeconomic factors, may affect a couple’s fertility desire and, therefore, their subsequent fertility. This study examined the impact of the sex composition of living children and a couple’s agreement on fertility desire on their subsequent fertility in India using data came from two rounds of nationally representative surveys: the India Human Development Survey (IHDS)-I (2004–05) and IHDS-II (2011–12). To understand which factors affect the chances of an additional pregnancy or childbirth, a random effects logistic regression model was applied to the panel data. It was found that the fertility desires of both marital partners were important in determining the chances of subsequent fertility. About 35% of the couples wanting to limit children had undergone pregnancy or childbirth, while 76% of the couples wanting more children had conceived or given birth to children. In the case of discordance between the spouses, subsequent fertility was found to remain intermediate between those agreeing to continue childbirth and those wanting to limit it. The findings also affirmed that child sex preference, specifically son preference, still persists in Indian society. More than 80% of the couples with only daughters in IHDS-I mutually wanted to have additional children, whereas in families that only had sons, the chance of a subsequent pregnancy was inversely associated with the number of sons. Strong patriarchal settings, combined with cultural and socioeconomic factors, affect the persistence of sex preference in India. Programmes aimed at increasing family planning use need to address son preference and should include components that promote the value of girl children.

This paper proposes a new empirical model for examining the relationship between obesity and school performance using the simultaneous equation modelling approach. The lagged effects of both learning and health outcomes were included to capture both the dynamic and inter-relational aspects of the relationship between obesity and school performance. The empirical application of this study used comprehensive data from the first five waves of the Longitudinal Study of Australian Children (LSAC), which commenced in 2004 (wave 1) and was repeated every two years until 2018. The study sample included 10,000 children, equally divided between two cohorts (infants and children) across Australia. The empirical results show that past learning and obesity status are strongly associated with most indicators of school outcomes, including reading, writing, spelling, grammar and numeracy national tests, and scores from the internationally standardized Peabody Picture Vocabulary Test and the Matrix Reasoning Test. The main findings of this study are robust due to the choice of obesity indicator and estimation methods.

The rapid economic growth in China has been accompanied by increases in internal migration as well as marital dissolution. Using longitudinal data from China Health and Nutrition Surveys covering over 19,000 individuals during 1989–2011, this study modelled the inter-relationships between internal migration, divorce and individual well-being, tackling conceptual and methodological aspects such as the joint determination of variables. First, random effects probit models showed that the migration periods of husbands and wives significantly increased their respective chances of divorce. Second, results from dynamic random effects models for self-reported health showed different effects of separation periods for husbands and wives; divorce did not significantly lower health status. Third, dynamic models for systolic and diastolic blood pressures showed significant effects of migration durations of husbands and wives; men had lower systolic blood pressure following divorce thereby indicating beneficial effects for unhappily married couples. The implications of the findings are discussed.