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Policy Impacts on Inequality: Inequality and Axioms for its Measurement 











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    Policy impacts on inequality: Decomposing Inequality by Source   2006
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    This tool illustrates how to decompose inequality measures by income sources. In particular, it discusses this decomposition in the context of the Gini and the Theil Indexes. A step-by-step procedure and numerical examples give operational content to the tool.
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    Monitoring Policy Impacts (MPI): The Eight Methodo-"logical" Steps for MPI  2005
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    This Module presents the eight methodo-“logical” steps for monitoring policy impacts (MPI), comprising:

    • Step 1: Initiation and preparation of MPI
    • Step 2: Policy review and analysis
    • Step 3: Development of the impact model
    • Step 4: Selection of impact indicators
    • Step 5: Research design
    • Step 6: Information and data collection
    • Step 7: Data compilation, processing and analysis
    • Step 8: Feedback of results of MPI t o policy makers, clients, public.

    The activities to be performed on the various steps are described, and an overview of the methods to be applied in performing these activities is given. It is pointed out that the eight steps represent a logical sequence but that the steps are closely interlinked and that there are likely possible feed back cycles to previous steps. In a concluding section, conditions for a practical application of MPI to specific policy cases are set out.
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    Policy impacts on inequality: Decomposition of Income Inequality by Subgroups  2006
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    This tool illustrates how to decompose inequality measures by subgroups of populations. In particular, it defines the concepts of within and between inequality and analyses how different inequality indexes perform with respect to this decomposition. In particular, the performance of the analysis of variance, the Gini Index and the Theil Index will be discussed. A step-by-step procedure and numerical examples give operational content to the tool.

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    The State of Food Security and Nutrition in the World 2021
    Transforming food systems for food security, improved nutrition and affordable healthy diets for all
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    In recent years, several major drivers have put the world off track to ending world hunger and malnutrition in all its forms by 2030. The challenges have grown with the COVID-19 pandemic and related containment measures. This report presents the first global assessment of food insecurity and malnutrition for 2020 and offers some indication of what hunger might look like by 2030 in a scenario further complicated by the enduring effects of the COVID-19 pandemic. It also includes new estimates of the cost and affordability of healthy diets, which provide an important link between the food security and nutrition indicators and the analysis of their trends. Altogether, the report highlights the need for a deeper reflection on how to better address the global food security and nutrition situation.To understand how hunger and malnutrition have reached these critical levels, this report draws on the analyses of the past four editions, which have produced a vast, evidence-based body of knowledge of the major drivers behind the recent changes in food security and nutrition. These drivers, which are increasing in frequency and intensity, include conflicts, climate variability and extremes, and economic slowdowns and downturns – all exacerbated by the underlying causes of poverty and very high and persistent levels of inequality. In addition, millions of people around the world suffer from food insecurity and different forms of malnutrition because they cannot afford the cost of healthy diets. From a synthesized understanding of this knowledge, updates and additional analyses are generated to create a holistic view of the combined effects of these drivers, both on each other and on food systems, and how they negatively affect food security and nutrition around the world.In turn, the evidence informs an in-depth look at how to move from silo solutions to integrated food systems solutions. In this regard, the report proposes transformative pathways that specifically address the challenges posed by the major drivers, also highlighting the types of policy and investment portfolios required to transform food systems for food security, improved nutrition, and affordable healthy diets for all. The report observes that, while the pandemic has caused major setbacks, there is much to be learned from the vulnerabilities and inequalities it has laid bare. If taken to heart, these new insights and wisdom can help get the world back on track towards the goal of ending hunger, food insecurity, and malnutrition in all its forms.
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    The FAOSTAT emissions database is composed of several data domains covering the categories of the IPCC Agriculture, Forestry and Other Land Use (AFOLU) sector of the national GHG inventory. Energy use in agriculture is additionally included as relevant to emissions from agriculture as an economic production sector under the ISIC A statistical classification, though recognizing that, in terms of IPCC, they are instead part of the Energy sector of the national GHG inventory. FAO emissions estimates are available over the period 1961–2018 for agriculture production processes from crop and livestock activities. Land use emissions and removals are generally available only for the period 1990–2019. This analytical brief focuses on overall trends over the period 2000–2018.