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Subsistence production: a sign of market failure. Commercialization cannot be left to the market. Household effects of commercialization. Nutrition effects of commercialization. Policy action needed.
Conceptual framework for agriculture/nutrition linkages; Investment in agricultural research; Modernization and technological change in agriculture; Time allocation, nurturing behavior, and income-control linkages; Nutrition as an input into agriculture.
Household-level agriculture-nutrition linkage (ANL) tends to be strong in a rural subsistence setting with limited access to the food market. In such a context, markets for food processing services also may be imperfect, and consequently a household’s time-investments in cooking may become important. Using the primary data in Tajikistan, we show that longer periods of time dedicated to cooking by women in the household often significantly enhance household-level ANL. Furthermore, an increase in the diversity, scale, and efficiency of household production, as well as longer cooking time, can also reduce intrahousehold inequality in nutritional outcomes among women and children. These effects are stronger in areas with lower nighttime light intensity and for households with lower values of cooking assets. In a context where household-level ANL is strong, ANL may also depend on households’ self-production of complementary inputs, including cooking services. This dependence reveals both unique opportunities for and vulnerabilities of ANL for the rural poor.
Agricultural development has historically focused on poverty reduction and food security but is now increasingly asked to help improve nutrition. Despite this strengthened nutritional mandate, agricultural policies and programs have struggled to develop effective, scalable and cost-effective approaches for reducing undernutrition. This study was therefore undertaken to assess more the more strategic issue of how to re-design agricultural development strategies for greater nutritional impact. To do so we review the literature on agriculture-nutrition linkages through an economic lens, focusing on systemic agriculture-nutrition linkages that go beyond the much-explored question of how a farm family’s agricultural activities affect their own household members’ food consumption or nutrition outcomes. To that end we structured this review around three types of linkages between agriculture and nutrition: (i) agricultural income effects (including income stability); (ii) relative food price determination (including the shadow prices involved in consuming one’s own production); and (iii) agricultural livelihood characteristics (encompassing the many neglected dimensions of agricultural activities and rural livelihoods that influence nutrition and health). For each of these literatures we reflect upon relevant economic theory, methodological challenges, and key empirical evidence. We conclude with a brief discussion of the implications of these findings for developing more nutrition-sensitive agricultural development strategies.
Many development programs that aim to alleviate poverty and improve investments in human capital consider womens empowerment a key pathway by which to achieve impact and often target women as their main beneficiaries. Despite this, womens empowerment dimensions are often not rigorously measured and are at times merely assumed. This paper starts by reflecting on the concept and measurement of womens empowerment and then reviews some of the structural interventions that aim to influence underlying gender norms in society and eradicate gender discrimination. It then proceeds to review the evidence of the impact of three types of interventionscash transfer programs, agricultural interventions, and microfinance programson womens empowerment, nutrition, or both. Qualitative evidence on conditional cash transfer (CCT) programs generally points to positive impacts on womens empowerment, although quantitative research findings are more heterogenous. CCT programs produce mixed results on long-term nutritional status, and very limited evidence exists of their impacts on micronutrient status. The little evidence available on unconditional cash transters (UCT) indicates mixed impacts on womens empowerment and positive impacts on nutrition; however, recent reviews comparing CCT and UCT programs have found little difference in terms of their effects on stunting and they have found that conditionality is less important than other factors, such as access to healthcare and child age and sex. Evidence of cash transfer program impacts depending on the gender of the transfer recipient or on the conditionality is also mixed, although CCTs with non-health conditionalities seem to have negative impacts on nutritional status. The impacts of programs based on the gender of the transfer recipient show mixed results, but almost no experimental evidence exists of testing gender-differentiated impacts of a single program. Agricultural interventionsspecifically home gardening and dairy projectsshow mixed impacts on womens empowerment measures such as time, workload, and control over income; but they demonstrate very little impact on nutrition. Implementation modalities are shown to determine differential impacts in terms of empowerment and nutrition outcomes. With regard to the impact of microfinance on womens empowerment, evidence is also mixed, although more recent reviews do not find any impact on womens empowerment. The impact of microfinance on nutritional status is mixed, with no evidence of impact on micronutrient status. Across all three types of programs (cash transfer programs, agricultural interventions, and microfinance programs), very little evidence exists on pathways of impact, and evidence is often biased toward a particular region. The paper ends with a discussion of the findings and remaining evidence gaps and an outline of recommendations for research.
This open access book provides an evidence-based roadmap for revitalising Indian agriculture while ensuring that the growth process is efficient, inclusive, and sustainable, and results in sustained growth of farmers’ incomes. The book, instead of looking for global best practices and evaluating them to assess the possibility of replicating these domestically, looks inward at the best practices and experiences within Indian states, to answer questions such as -- how the agricultural growth process can be speeded up and made more inclusive, and financially viable; are there any best practices that can be studied and replicated to bring about faster growth in agriculture; does the prior hypothesis that rapid agricultural growth can alleviate poverty faster, reduce malnutrition, and augment farmers’ incomes stand? To answer these questions, the book follows four broad threads -- i) Linkage between agricultural performance, poverty and malnutrition; ii) Analysing the historical growth performance of agricultural sector in selected Indian states; iii) Will higher agricultural GDP necessarily result in higher incomes for farmers; iv) Analysing the current agricultural policy environment to evaluate its efficiency and efficacy, and consolidate all analysis to create a roadmap. These are discussed in 12 chapters, which provide a building block for the concluding chapter that presents a roadmap for revitalising Indian agriculture while ensuring growth in farmers’ incomes.
Smallholder agriculture is the mainstay of Malawi’s economy. Its importance for livelihoods cannot be overstated. 94 percent of rural residents and 38 percent of urban residents engage in agriculture to some extent (Jones, Shrinivas, and Bezner-Kerr 2014), the vast majority as smallholder farmers with landholdings of less than one hectare. Smallholder crops are primarily maize—which accounted for nearly 80 percent of smallholder-cultivated land in 2011 —followed by cassava and other food crops (FAO 2008; IFAD 2011). These foods are grown for household consumption and for sale at local and regional markets. As such, the Malawian food supply, especially in rural areas where markets are thin with few buying or selling options, is shaped largely by trends in smallholder food-crop production
Making statistics—and statistical software—accessible and rewarding This book provides readers with step-by-step guidance on running a wide variety of statistical analyses in IBM® SPSS® Statistics, Stata, and other programs. Author David Kremelberg begins his user-friendly text by covering charts and graphs through regression, time-series analysis, and factor analysis. He provides a background of the method, then explains how to run these tests in IBM SPSS and Stata. He then progresses to more advanced kinds of statistics such as HLM and SEM, where he describes the tests and explains how to run these tests in their appropriate software including HLM and AMOS. This is an invaluable guide for upper-level undergraduate and graduate students across the social and behavioral sciences who need assistance in understanding the various statistical packages.