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This paper assesses the Subramanian and Deaton (S–D) approach for imputing the caloric intake of households from food prepared away from home (FAFH) and composite foods (CF) by juxtaposing it with the imputations of alternative approaches, and extends these approaches to four additional nutrients—vitamin A, iron, zinc, and calcium. The apparent relative nutritional insignificance of FAFH and CF in Bangladesh obfuscates our efforts to assess alternatives to the S–D approach to imputation, and we remain uncertain about the relative value of the alternative imputation approaches examined. FAFH and CF—although widely consumed in Bangladesh—constitute a relatively unimportant source of nutrients, regardless of how the nutrient content of FAFH and CF is imputed.
Urbanization has had a major impact on livelihoods in Ghana and throughout Africa as a whole. However, much research on urbanization has focused on effects occurring within cities, while there is insufficient understanding of its effects on rural areas. This paper examines the impact of urbanization—through a typology of districts—on rural livelihoods in Ghana. The country’s districts are classified into seven spatial groups according to the size of the largest city in each district in southern and northern Ghana. The paper does not address rural–urban migration but instead focuses on the livelihoods of rural households. In contrast to the extensive literature focusing on the effects of urbanization on individuals, we assess its impacts on individual rural households as a whole, with a particular focus on youth-headed households. Many rural households have shifted their primary employment from agriculture to nonagriculture, especially in the more urbanized South. In contrast, change in livelihood diversification within rural households with family members’ primary employment in both agriculture and nonagriculture appears much less rapid. Rural youth-headed households are significantly more associated with the transition away from agriculture than households headed by other adults, and such trends are stronger in locations closer to larger cities, particularly in the South. Although the nonagricultural economy is becoming increasingly important for rural households, contrary to expectations, the probit model analysis in this paper shows that agricultural production does not appear to be more intensified—in terms of modern input use—in the more urbanized South, and youth do not show greater agricultural technology adoption than other adults, indicating that the constraints against modern input adoption may be binding for all farmers, including youth and farmers in more urbanized locations. We also find that rural poverty rates are consistently lower among nonagricultural households, and the share of middle-class population is also disproportionally higher among rural nonagricultural households than agricultural households. While the probit analysis confirms the positive relationship between being a nonagricultural household and being nonpoor or becoming middle class after controlling for all other factors, education seems to play the biggest role. As rural youth become more educated and more households shift from agriculture to the rural nonfarm economy, a different range of technologies for agricultural intensification is necessary for agriculture to be attractive for youth. A territorial approach and related policies that integrate secondary cities and small towns with the rural economy deserve more attention such that the diversification of rural livelihoods can become a viable alternative or complement to rural–urban migration for youth.
Height-for-age z-scores (HAZs) and stunting status (HAZ<−2) are widely used to measure child nutrition and population health. However, accurate measurement of age is nontrivial in populations with low levels of literacy and numeracy, limited use of formal birth records, and weak cultural norms surrounding birthdays and calendar use. In this paper we use Demographic and Health Surveys data from 62 countries over the period 1990–2014 to describe two statistical artifacts indicative of misreporting of age. The first artifact consists of lower HAZs for children reported to be born earlier in each calendar year (resulting in implausibly large HAZ gaps between January- and December-born children), which is consistent with some degree of randomness in month of birth reporting. The second artifact consists of lower HAZs for children with a reported age just below a round age (and hence implausibly large HAZ gaps between children with reported ages just below and just above round ages), which is consistent with survey respondents rounding ages down more than they round ages up. Using simulations, we show how these forms of misreporting child age can replicate observed patterns in the data, and that they have small impacts on estimated rates of stunting but important implications for research that relies on birth timing to identify exposure to various risks, particularly seasonal shocks. Moreover, the misreporting we identify differs from conventional age-heaping concerns, implying that the metrics described above could constitute useful markers of measurement error in nutrition surveys. Future research should also investigate ways to reduce these errors.
One finds a broad consensus in the literature regarding the lack of good information on trade in Africa, particularly intraregional trade. This paper attempts to identify gaps and remedies in measuring and tracking trade in Africa. We review the major international and regional databases that track trade in Africa, identifying the gaps therein. We also review the studies that have attempted to track informal trade between African countries, and we look at the major ongoing initiatives to track such informal trade. It appears that both international and regional databases suffer from a lack of reporting or from faulty reporting of African trade statistics. Informal trade flows pose an ongoing problem when measuring intraregional trade, although actual border-monitoring initiatives ongoing in selected countries constitute an interesting option for their quantification. When no direct monitoring method is available, estimating gravity equations represents an alternative with which to measure the potential trade between two partner countries, giving us an estimate of missing trade. A final avenue consists of estimating unregistered trade via national accounts data by comparing consumption, production, and declared trade.
While there is a large body of literature on the negative health effects of air pollution, there is much less written about its effects on cognitive performance for the whole population. This paper studies the effects of contemporaneous and cumulative exposure to air pollution on cognitive performance based on a nationally representative survey in China. By merging a longitudinal sample at the individual level with local air-quality data according to the exact dates and counties of interviews, we find that contemporaneous and cumulative exposure to air pollution impedes both verbal and math scores of survey subjects. Interestingly, the negative effect is stronger for men than for women. Specifically, the gender difference is more salient among the old and less educated in both verbal and math tests.
Understanding how various entities in a policy system at the national level can contribute to improved use of evidence in policy making. Yet little research has focused in developing countries on how various actors and players in a policy system work together to achieve a set of policy goals. In this paper, we study the factors contributing to the effectiveness of a policy system. The process of policy design, adoption, implementation, and refinement requires an effective policy system as well as a capacitated and supportive institutional structure. External actors both through technical and financial assistance often support policy systems in developing countries. Poor coordination and harmonization of such assistance among various actors and players within the country can often result in undermining the very policy systems they try to strengthen. This is typical in the African agricultural development process. In this paper, we develop a conceptual framework for understanding the policy and institutional architecture of food and agriculture policy system and for improving the coordination and harmonization of the roles of policy actors and players. Applying the framework to Ghana, we map and analyze the organizational contributions of various actors and their functional characteristics. We show how such analysis can aid various policy actors in setting priorities and strategies for increasing their capacity and the effectiveness of their roles. Finally, we draw lessons for strengthening the food policy systems in developing countries through effective coordination among local and external actors.
A goal of agricultural policy in India has been to reduce farmers’ dependence on informal credit. To that end, recent initiatives have been focused explicitly on rural areas and have had a positive impact on the flow of agricultural credit. But despite the significance of these initiatives in enhancing the flow of institutional credit to agriculture, the links between institutional credit and net farm income and consumption expenditures in India are not very well documented. Using a large national farm household–level dataset and instrumental variables two-stage least squares estimation methods, we investigate the impact of institutional farm credit on farm income and farm household consumption expenditures. Our findings show that in India, formal credit is indeed playing a critical role in increasing both the net farm income and per capita monthly household expenditures of Indian farm families. We also find that, in the presence of formal credit, social safety net programs such as the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA) may have unintended consequences. In particular, MGNREGA reduces both net farm income and per capita monthly household consumption expenditures. In contrast, in the presence of formal credit, the Public Distribution System may increase both net farm income and per capita monthly household consumption expenditures.
Ethiopia’s Productive Safety Net Programme (PSNP) is a large-scale social protection intervention aimed at improving food security and stabilizing asset levels. The PSNP contains a mix of public works employment and unconditional transfers. It is a well-targeted program; however, several years passed before payment levels reached the intended amounts. The PSNP has been successful in improving household food security. However, children’s nutritional status in the localities where the PSNP operates is poor, with 48 percent of children stunted in 2012. This leads to the question of whether the PSNP could improve child nutrition. In this paper, we examine the impact of the PSNP on children’s nutritional status over the period 2008–2012. Doing so requires paying particular attention to the targeting of the PSNP and how payment levels have evolved over time. Using inverse-probability-weighted regression-adjustment estimators, we find no evidence that the PSNP reduces either chronic undernutrition (height-for-age z-scores, stunting) or acute undernutrition (weight-for-height z-scores, wasting). While we cannot definitively identify the reason for this nonresult, we note that child diet quality is poor. We find no evidence that the PSNP improves child consumption of pulses, oils, fruits, vegetables, dairy products, or animal-source proteins. Most mothers have not had contact with health extension workers nor have they received information on good feeding practices. Water practices, as captured by the likelihood that mothers boil drinking water, are poor. These findings, along with work by other researchers, have informed revisions to the PSNP. Future research will assess whether these revisions have led to improvements in the diets and anthropometric status of preschool children in Ethiopia.
Despite recent modifications, the Economic Partnership Agreement (EPA) between the European Union (EU) and West African (WA) countries is still being criticized for its potential detrimental effects on WA countries. This paper provides updated evidence on the impact of the EPA on these countries. A dynamic multicountry, multisector computable general equilibrium trade model with modeling of the dual-dual economy and with a consistent tariff aggregator is used to simulate a series of new scenarios that include updated information on the agreement. We also go beyond estimating macrolevel economic effects to analyze the impacts on poverty. The policy simulation results show that the implementation of the EPA between the EU and WA countries would have marginal but positive impacts on Burkina Faso and Côte d’Ivoire and negative impacts on Benin, Ghana, Nigeria, Senegal, and Togo. The impact on poverty indicators in Ghana and Nigeria would be marginal. From the perspective of WA countries, this study supports the view that recent EU concessions are not sufficient and that domestic fiscal reforms are needed in WA countries themselves.
Niger is a landlocked Sahelian country, two-thirds of which is in the Sahara Desert. Although only one-eighth of the land considered arable, the overwhelming majority of Niger’s households is involved in rain-fed agriculture largely for subsistence. Given erratic rainfall and low soil fertility, most smallholders fail to produce enough food to meet household requirements. Income diversification is thus the norm among these rural households and different income-generating activities offer alternative pathways out of poverty for households as well as a mechanism for managing risk in an uncertain environment. Empowerment is likely to be an important factor affecting the ability of households to diversity their activity portfolio and may also affect activity-incomes and thereby household welfare. In this study, I use new household- and individual-level empowerment data from the Tahoua region of Niger and regression analysis to quantify the effects of a range of human capital measures including empowerment on the activity portfolio and activity incomes of rural households. My findings reveal that empowerment in particular plays an important role in enabling households to engage in mixed diversification strategy, which combines staple cropping with nonfarm activities and migration. This is a “last resort” strategy for households in lower landholding quintiles to ensure food security and complement an inadequate resource base. Controlling for activity choice, three empowerment indicators in particular—confidence, group membership, and tenure security—strongly and positively affect income from staple and cash cropping, which on average makes up about 90 percent of household income. In fact, empowerment is the only human capital variable that strongly and positively affects total household income, opening up interesting avenues for policy interventions aimed at augmenting a household’s noncognitive ability through, for example, leadership training or encouraging producer group membership—to increase incomes of the rural poor.