Mulubrhan Amare

Rural-Urban Migration and Employment Quality: A Case Study from Thailand

This study investigates the effects of rural–urban migration on economic development in Thailand. It draws upon a panel database of 2,000 rural households collected from 2008 to 2010 in three provinces from Northeast Thailand and a survey of 650 migrants in the Greater Bangkok area conducted in 2010. The study offers some new findings on migration in Thailand. First, there is evidence that there is a need for better social protection for urban migrants. Second, the study shows that migration offers the benefit of income growth for rural households but is less effective in reducing inequality and relative poverty in rural areas. Generally, migrants are more educated albeit at an overall low education level in the rural areas. The message emerging from this paper is that poor rural households tend to produce poor migrants which could be one of the reasons for the continuous existence of a wide rural–urban divide in welfare. The crucial importance of good quality education for migrants to achieve higher quality employment calls for more investment in education quality in rural areas.

Agricultural Innovation Systems and Farm Technology Adoption: Findings from a Study of the Ghanaian Plantain Sector.

ABSTRACT Purpose: We assess farm technology adoption in an integrated analysis of social networks and innovation in plantain production in Ghana. The paper explores the strength of social networks in the agricultural innovation systems (AISs) and the effect of AISs on adoption of improved farm technology. Methodology/Approach: The paper uses social network analysis (SNA) tools to identify, map and analyze the AISs and the two-stage Heckman selection model. Combining qualitative and quantitative methods allows testing the differential effects of social networks on technology adoption. Findings: We find weak innovation systems in the study area. Farmers are central in the social networks but have little to no influence in the innovation system perspective. Social network capital plays a critical role in improving adoption of improved farm technology. Practical implication: Focal farmers are important actors disseminating farm technology. They should be supported by policies to interact more effectively with research and extension agents. Strengthening the role of social networking in the innovation system will enhance adoption of improved farm technology. Theoretical implications: The inclusion of SNA indicators in the adoption model is a novel approach for quantifying the effect of the innovation system and contributes to understanding the roles of different actors. Further validation of the SNA indicators is needed for a comprehensive analysis of the innovation system. Originality/value: The innovation system approach is useful for researchers and policy-makers by encouraging them to consider new innovation actors and relationships in technology development and dissemination. Combining quantitative and qualitative methods can help to identify starting points for policies to promote innovations among farmers.

Study of the Determinants of Chronic Malnutrition in Northern Nigeria: Quantitative Evidence from the Nigeria Demographic and Health Surveys International Food Policy Research Institute (IFPRI) Working Paper 45 (September 2017):

Background: Close to half of all children younger than 5 years in the Northeast and Northwest geopolitical zones were estimated to be stunted in their growth for their age in 2013 compared to 22% of children in the rest of Nigeria. Objectives: We examine the drivers of chronic child undernutrition in northern Nigeria and how those drivers differ from other areas of the country. Methods: Both a standard child-level regression-based approach and decomposition analysis were used to address the determinants of stunting and decompose how drivers differ between northern Nigeria and other areas of the country using 2008 and 2013 Nigeria DHS data. Results: There are strong differences in the levels of the determinants of undernutrition in young children between the 2 parts of the country. However, equally important, the decomposition analysis shows that there are significant differences between northern Nigeria and other areas of Nigeria in the effect of the same determinant of nutritional status in accelerating or retarding the linear growth of young children. Conclusions: A national program to address child undernutrition must recognize this heterogeneity in its design. To impose across Nigeria, a single set of approaches to address the factors which results in stunted children is likely to fail for large numbers of children if these strong geographical differences in how these determinants operate to affect child nutritional status are not considered. Solutions need to be developed within northern Nigeria to more closely reflect the way the determinants of nutritional status operate in this area of the country.

Night light intensity and women’s body weight: Evidence from Nigeria

&NA; The prevalence of overweight and obesity are increasing in many African countries and hence becoming regional public health challenges. We employ satellite‐based night light intensity data as a proxy for urbanization to investigate the relationship between urbanization and womens body weight. We use two rounds of the Demographic and Health Survey data from Nigeria. We employ both nonparametric and parametric estimation approaches that exploit both the cross‐sectional and longitudinal variations in night light intensities. Our empirical analysis reveals nonlinear relationships between night light intensity and womens body weight measures. Doubling the samples average level of night light intensity is associated with up to a ten percentage point increase in the probability of overweight. However, despite the generally positive relationship between night light intensity and womens body weight, the strength of the relationship varies across the assorted stages of night light intensity. Early stages of night light intensity are not significantly associated with womens body weight, while higher stages of nightlight intensities are associated with higher rates of overweight and obesity. Given that night lights are strong predictors of urbanization and related economic activities, our results hint at nonlinear relationships between various stages of urbanization and womens body weight.