In Nigeria, unemployment in rural areas translates to economic problems, such as high levels of rural–urban migration. Interventions aimed at promoting rural transformation and development are designed to generate employment by promoting the growth of sectors such as manufacturing and services in rural areas. In this study, the General Household Survey (GHS) panel data for the post-planting and post-harvest periods of the 2011/2012 and 2015/2016 cropping seasons for Nigeria was used to investigate developments in rural areas in Nigeria between 2011 and 2015, and identified how these developments influenced labor market outcomes among rural youths. Fixed effect models were employed to control for unobserved heterogeneity that may exist because of the different years in the data used. Key levers of sustainable social and economic development, such as access to finance, health services, markets, and infrastructure such as electricity, were considered. The empirical results from the study revealed that being educated as well as having access to infrastructure and information had positive effects on the number of youths that took up wage/salary employment in the rural areas. The study concluded that the diversification of youths into other sectors would have higher growth effects on the development of rural areas, as they can invest more in agriculture, while also reducing the level of dependence on the sector. The study recommends an increase in budgetary allocations for education and rural development projects, with a special focus on electricity and financial institutions, while increasing access to information on available job opportunities.
The increase in the geographical mobility of labour as a result of poverty, unemployment and unstable economic conditions, among other factors, especially among professionals, has been associated with a brain drain in Nigeria. Despite the high level of migration and subsequent remittances from migrants, a large proportion of Nigerians still live in poverty. The increased participation of women in migration in the country also brings to the fore the existence of gender-specific migration experiences and how this has in turn affected their households. Based on gender, this study assesses the extent of labour mobility, its determinants and how it influences remittance inflows and household poverty using the logit regression model Propensity Score Matching and Linear Regression with Endogenous Treatment Effect Approach. Results reveal that while more males travelled for employment purposes, more females travelled due to marriage arrangements. More of the migrants that were working after migration had worked before migration and had the highest average amount of remittance sent to households. The study shows that labour mobility increases the amount of remittance sent to households. However, the increase was higher among male migrants than female migrants. More than half of the migrants had poor households; meanwhile, labour mobility was found to reduce the extent of poverty. The study recommended that policies that improve the welfare of labour and reduce the brain drain, unemployment and closures of enterprises in the country should be put in place. Also, effective policies and interventions that promote the use of remittances to achieve maximum reductions in poverty should be pursued.
14 October 2020 in Journal of Hunger & Environmental Nutrition
This study examined the influence of maternal autonomy on child nutrition in rural, Nigeria. The 2013 Nigerian Demography and Health Survey data were utilized. Data were analyzed using descriptive statistics, composite score analysis, and ordered probit regression. About 51% of the children were male with an average age of 22.55 ± 17.22 months. Almost 43.3%, 29.0% and 18.7% of the children were stunted, underweight and wasted, respectively. Higher percentage of mothers (71.53%) had low autonomy. Increase in mother’s autonomy on own health and decision on visits to friends and relatives would decrease the probability of negative child nutrition outcome by 0.058 and 0.1077, respectively.