Yacob A. Zereyesus

Does Women’s Empowerment in Agriculture Matter for Children’s Health Status? Insights from Northern Ghana

Given that women in rural communities in developing countries are responsible for the nutrition and health-related decisions affecting children in their care, their empowerment may influence the health status of their children. The association between women’s empowerment, measured by using a recently developed Women’s Empowerment in Agriculture Index, and children’s health status is examined for a sample of households in Northern Ghana applying a Multiple Indicators Multiple Causes (MIMIC) model. The MIMIC approach is used to link multiple indicator variables with multiple independent variables through a “single underlying” latent variable. Height-for-age and weight-for-height z-scores are used as indicators of the underlying children’s health status and women’s empowerment in agriculture and control variables are used as the multiple independent variables. Our results show that neither the composite empowerment score used to capture women’s empowerment in agriculture nor its decomposed components are statistically significant in their association with the latent children’s health status. However, the associations between children’s health status and control variables such as mother’s education, child’s age, household’s hunger scale and residence locale are statistically significant. Results also confirm the existence of the ‘single underlying’ common latent variable. Of the two health status indicators, height-for-age scores and weight-for- height scores, the former exhibited a relatively stronger association with the latent health status. While promoting women’s empowerment to enhance their ability to make strategic life choices, it is important to carefully consider how the achievement of these objectives will impact the women’s well-being and the well-being of the children in their care.

The determinants of household-level well-being in Northern Ghana

ABSTRACT Empirical analysis of the physical well-being at the household level was conducted for a sample of households in Northern Ghana using a Multiple Indicators Multiple Causes model. Physical well-being was indicated by the number of stunted children, number of wasted children, and number of underweight women. Results suggest that well-being at the household level is indeed represented by the latent variable and can be conceptualized in much the same way as the well-being of the individuals who constitute the household. Results show that the literacy of father and the number of dependents are associated with the largest shift in the underlying household’s physical well-being. Locale and the household assets were also significantly associated with the collective underlying latent variable. The variability in household physical well-being is explained more by the number of stunted children in the household than any of the other indicators of household well-being.

Rates of return to sorghum and millet research investments: A meta-analysis

Sorghum and millet grow in some of the most heterogeneous and austere agroecologies around the world. These crops are amongst the top five cereal sources of food and feed. Yet, few studies document the impact of sorghum and millet genetic enhancement. The Internal Rate of Return (ROR) is one of the most popular metrics used to measure the economic return on investment on agricultural research and development (R&D). This study conducted a meta-analysis of 59 sorghum and millet ROR estimates obtained from 25 sources published between 1958 and 2015. The average rate of return to sorghum and millet R&D investment is between 54–76 percent per year. All studies computed social rather than private RORs because the technologies were developed using public funds originating from host country National Agricultural Research Systems (NARS) and international organizations such as the INTSORMIL CRSP, ICRISAT and others. Nearly three quarter of the studies focused only on sorghum (72 percent) and around one tenth of the studies (8 percent) on millet. Regression models analyzed the determinants of variation in the reported RORs. Results show that ex-ante type and self-evaluated type of analyses are positively and significantly associated with the ROR estimates. Compared to estimates conducted by a university, results from international institutions and other mixed organizations provided significantly smaller estimates. Estimates conducted at national level also are significantly lower than those conducted at sub-national levels. The ROR is higher for studies conducted in the United States and for those conducted more recently. The study also reconstructed modified internal rate of return (MIRR) for a sub-sample of the reported RORs following recent methods from the literature. These results show that the MIRR estimates are significantly smaller than the reported ROR estimates. Both results indicate that investment in sorghum and millet research generates high social rates of return.

Empirical analysis of profit maximization and cost minimization behaviour of Kansas farms

ABSTRACT A farm-level deterministic and stochastic nonparametric tests of profit maximization and cost minimization behaviour for a sample of 112 Kansas farms was completed from 1996 to 2013. Allowing for monotonic non-regressive technological change and using a 10% significance level, 73 farms violated the profit-maximization hypothesis and 58 farms violated the cost minimization hypothesis. More profit maximization violations existed relative to cost minimization violations. However, comparing these results with results for 289 Kansas farms using data from 1973 to 1990, farms have significantly reduced profit maximizing violations. Cost minimizing behaviour has not changed substantially.