Many development programs that aim to alleviate poverty and improve investments in human capital consider women’s empowerment a key pathway by which to achieve impact and often target women as their main beneficiaries. Despite this, women’s empowerment dimensions are often not rigorously measured and are at times merely assumed. This paper starts by reflecting on the concept and measurement of women’s 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 interventions—cash transfer programs, agricultural interventions, and microfinance programs—on women’s empowerment, nutrition, or both. Qualitative evidence on conditional cash transfer (CCT) programs generally points to positive impacts on women’s 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 women’s 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 interventions—specifically home gardening and dairy projects—show mixed impacts on women’s 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 women’s empowerment, evidence is also mixed, although more recent reviews do not find any impact on women’s 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.

Nutrition-sensitive, food-based approaches towards hunger and malnutrition are effective, sustainable and long-term solutions. This book discusses the policy, strategic, methodological, technical and programmatic issues associated with such approaches, proposes “best practices” for the design, targeting, implementation and evaluation of specific nutrition-sensitive, food-based interventions and for improved methodologies for evaluating their efficacy and cost-effectiveness, and provides practical lessons for advancing nutrition-sensitive food-based approaches for improving nutrition at policy and programme level.

This book investigates the relationships between economies of scale in food consumption and a number of socio-economic and demographic characteristics of households and household behavioural choices since food is the major share of household expenditure for poor households. The characteristics considered comprise household size, location, income, and gender of the head of household while the behavioural choices considered comprise the decision to consume home-grown food and the decision to adopt domestic technology to aid food preparation and consumption. The book proposes two theoretical models to rationalize the role of the consumption of home-grown food and the adoption of domestic technology in enhancing economies of scale in food consumption. Econometric models are also used to empirically test the validity of the two theoretical models while adjusted poverty estimations are derived numerically using the estimated equivalence scales. Although data used in applying these techniques are based on four Household Income and Expenditure Surveys conducted by the Department of Census and Statistics (DCS) in Sri Lanka, the methodology can be used for similar analysis in relation to any other country.

This innovative field guide argues that in order to combat climate change we must work 'from the ground up' using dynamic community projects. A Field Guide to Community Based Adaptation is arranged in a step-by-step progression that leads readers through problem assessment, project design, implementation, and community take over. Based on years of experience in 129 different countries, the field guide provides students and professionals with all the tools needed to develop and deliver their own projects.

Rapid structural transformation and urbanization are transforming agriculture and food production in rural areas across the world. This textbook provides a comprehensive review and assessment of the multi-faceted nature of agriculture and rural development, particularly in the developing world, where the greatest challenges occur. It is designed around five thematic parts: Agricultural Intensification and Technical Change; Political Economy of Agricultural Policies; Community and Rural Institutions; Agriculture, Nutrition, and Health; and Future Relevance of International Institutions. Each chapter presents a detailed but accessible review of the literature on the specific topic and discusses the frontiers in research and institutional changes needed as societies adapt to the transformation processes. All authors are eminent scholars with international reputations, who have been actively engaged in the contemporary debates around agricultural development and rural transformation.

Assessing impacts of public investments has long captured the interest and attention of the development community. This paper presents the evolution of different methods and approaches used for ex ante appraisal, monitoring, project evaluation, and impact assessment over the last five decades. Among these tools, impact assessment (IA) conducted retrospectively comes closest to providing the proof of development effectiveness. It is defined as the systematic analysis of the significant or lasting changes in people's lives brought about by a given action or series of actions in relation to a counterfactual. There are three basic types of retrospective IAs: macro-level IAs that focus on the contribution of developmental efforts to an impact goal aggregated at a sector or a system level; micro-level impact evaluations (IEs) concerned with estimating the average effect of an intervention on outcomes at the beneficiary level; and micro-level ex post impact analysis concerned with total effects of a development effort after the outputs are scaled-up. Ex post IAs have evolved and expanded over the decades in both breadth and depth of analysis in response to evolving development themes and methodological advancements. The increased emphasis on learning from evaluations has also seen responses from both quantitative and qualitative camps of the evaluation community. The paper argues that generation of robust knowledge that feeds into making developmental policies and investment decisions requires a hierarchical and cumulative approach to "improving the proof" through rigorous and a variety of impact assessment methods applied incrementally at the project, program and system level. Subjecting as many development interventions as resources allow to rigorous impact assessment based on a common framework can help build a critical body of evidence on impacts of development interventions, which can then be subjected to meta-analyses to help assimilate results across different studies and build a knowledge base on what works and what does not.

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