12 research outputs found

    Determinants of poverty in Mozambique (1996-97)

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    This report presents an analysis of the structural determinants of living standards and poverty in Mozambique, which is based on nationally-representative data from the first national household living standards survey since the end of the civil war: Poverty in Mozambique is predominantly a rural phenomenon and is pervasive, with over two-thirds of the population falling below the poverty line. The degree of regional variation of poverty within the country is striking. The policy simulations that illustrate the impact that changes in the levels of determinants of poverty have on poverty levels allow us to identify six possible elements of a prospective poverty alleviation strategy for Mozambique. These include (1) increased investment in education, (2) sustained economic growth, (3) a sectoral pattern of growth favoring faster growth in the industrial and services sectors, (4) measures to raise agricultural productivity, (5) improved rural infrastructure, and (6) reducing fertility and dependency load within households. In conclusion, any meaningful poverty reduction strategy in Mozambique must give the highest priority to rural areas and must address these macro-level and household-level determinants of poverty in its policy formulations.Economic development. ,Agricultural policies. ,Education Economic aspects. ,Living standards Mozambique. ,Poverty Mozambique. ,

    Rebuilding after war: micro-level determinants of poverty reduction in Mozambique

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    "Rather than looking at the association between poverty and various household and individual characteristics on a one-to-one basis (bivariate analysis), which often oversimplifies complex relationships and can lead to erroneous conclusions, this report uses multiple regression to analyze poverty and living standards econometrically. As methodological choices can have a strong influence on the results,much of the report is given over to a detailed discussion of the methodology used to conduct the analysis and sensitivity analysis to assess the robustness of the findings to alternative methodological choices. These include the construction of region-specific poverty linesand the empirical model of poverty determinants used. Estimates of poverty levels and the results of the model are presented, followed by simulations that indicate the impact on poverty of specific policy interventions." from Text of AbstractConflict, Poverty alleviation, Living standards Mozambique,

    The robustness of poverty profiles reconsidered

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    Poverty measures and profiles are used increasingly to guide antipoverty policies in low-income countries. An essential element in these analyses is the specification of a poverty line. However, there are many different methods for setting poverty lines, and different methods can yield strikingly different results, with correspondingly different policy implications. Using recent household survey data from Mozambique, this paper explores the differences that occur using the most common poverty line methodologies, the Food Energy Intake (FEI) and the Cost of Basic Needs (CBN) methods, over different levels of geographic specificity. We find that regional and provincial rankings of Foster, Greer, and Thorbecke poverty indices are not robust to the method of poverty line determination, but that the characteristics of the poor are reasonably similar under all methods. The FEI poverty lines often yield counterintuitive results, whereas the family of CBN poverty lines was more robust. Food consumption patterns of the poor show a high degree of substitution among basic staples from one region to another, which is consistent with observed differences in relative food prices, indicating that CBN poverty lines that allow for regional variation in the food consumption bundle may be most appropriate in these settings.Poverty. ,Household surveys Mozambique. ,Food consumption Mathematical models. ,

    GEO-Bench: Toward Foundation Models for Earth Monitoring

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    Recent progress in self-supervision has shown that pre-training large neural networks on vast amounts of unsupervised data can lead to substantial increases in generalization to downstream tasks. Such models, recently coined foundation models, have been transformational to the field of natural language processing. Variants have also been proposed for image data, but their applicability to remote sensing tasks is limited. To stimulate the development of foundation models for Earth monitoring, we propose a benchmark comprised of six classification and six segmentation tasks, which were carefully curated and adapted to be both relevant to the field and well-suited for model evaluation. We accompany this benchmark with a robust methodology for evaluating models and reporting aggregated results to enable a reliable assessment of progress. Finally, we report results for 20 baselines to gain information about the performance of existing models. We believe that this benchmark will be a driver of progress across a variety of Earth monitoring tasks

    REBUILDING AFTER WAR: MICRO-LEVEL DETERMINANTS OF POVERTY REDUCTION IN MOZAMBIQUE

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    This report-part of an extensive body of work IFPRI undertook on the state of poverty in Mozambique at the end of a long period of war-zeroes in on the question of what determines living standards and poverty in Mozambique. It aims to identify those public policy interventions that are likely to reduce poverty the most. The authors examine household and community characteristics linked to poverty and develop a microeconometric model to measure the influence of education, employment, demographics, agricultural technology, and infrastructure on consumption. Although the results of this research are directed to policymakers in Mozambique, those concerned with other low-income countries will find the analytical methods and findings useful, especially the message that investment in human development as well as physical capital is essential to reduce poverty

    DETERMINANTS OF POVERTY IN MOZAMBIQUE: 1996-97

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    This report presents an analysis of the structural determinants of living standards and poverty in Mozambique, which is based on nationally-representative data from the first national household living standards survey since the end of the civil war: the Mozambique Inquérito Nacional aos Agregados Familiares Sobre As Condições de Vida (MIAF), or National Household Survey on Living Conditions. Poverty in Mozambique is predominantly a rural phenomenon and is pervasive, with over two-thirds of the population falling below the poverty line. The degree of regional variation of poverty within the country is striking. Poverty levels are highest in Sofala, Tete, and Inhambane Provinces, where over 80 percent of the population lives below the poverty line, and lowest in Maputo City (although, with a headcount of 48 percent, poverty is still high in the capital city). The poverty estimates indicate that even though Mozambique is recovering from the emergency situation of the civil war, and becoming more self-reliant for its basic needs, there remains a great deal of structural poverty in the country. Areas that stand out in particular are low levels of human capital, including low educational levels and the poor health of most of the population; low productivity in the agricultural sector, where most Mozambicans are employed; a weak physical infrastructure and poor access to basic services, including potable water, health facilities, transportation, communications, and markets; and high rates of fertility and corresponding high dependency ratios. The policy simulations that illustrate the impact that changes in the levels of determinants of poverty have on poverty levels allow us to identify six possible elements of a prospective poverty alleviation strategy for Mozambique. These include (1) increased investment in education, (2) sustained economic growth, (3) a sectoral pattern of growth favoring faster growth in the industrial and services sectors, (4) measures to raise agricultural productivity, (5) improved rural infrastructure, and (6) reducing fertility and dependency load within households. In conclusion, any meaningful poverty reduction strategy in Mozambique must give the highest priority to rural areas and must address these macro-level and household-level determinants of poverty in its policy formulations

    FCND DP No. 124 FCND DISCUSSION PAPER NO. 124 THE ROBUSTNESS OF POVERTY PROFILES RECONSIDERED

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    Poverty measures and profiles are used increasingly to guide antipoverty policies in low-income countries. An essential element in these analyses is the specification of a poverty line. However, there are many different methods for setting poverty lines, and different methods can yield strikingly different results, with correspondingly different policy implications. Using recent household survey data from Mozambique, this paper explores the differences that occur using the most common poverty line methodologies, the Food Energy Intake (FEI) and the Cost of Basic Needs (CBN) methods, over different levels of geographic specificity. We find that regional and provincial rankings of Foster, Greer, and Thorbecke poverty indices are not robust to the method of poverty line determination, but that the characteristics of the poor are reasonably similar under all methods. The FEI poverty lines often yield counterintuitive results, whereas the family of CBN poverty lines was more robust. Food consumption patterns of the poor show a high degree of substitution among basic staples from one region to another, which is consistent with observed differences in relative food prices, indicating that CBN poverty lines that allow for regional variation in the food consumption bundle may be most appropriate in these settings. iii CONTENTS Acknowledgments................................................................................................................v 1

    THE ROBUSTNESS OF POVERTY PROFILES RECONSIDERED

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    Poverty measures and profiles are used increasingly to guide antipoverty policies in low- income countries. An essential element in these analyses is the specification of a poverty line. However, there are many different methods for setting poverty lines, and different methods can yield strikingly different results, with correspondingly different policy implications. Using recent household survey data from Mozambique, this paper explores the differences that occur using the most common poverty line methodologies, the Food Energy Intake (FEI) and the Cost of Basic Needs (CBN) methods, over different levels of geographic specificity. We find that regional and provincial rankings of Foster, Greer, and Thorbecke poverty indices are not robust to the method of poverty line determination, but that the characteristics of the poor are reasonably similar under all methods. The FEI poverty lines often yield counterintuitive results, whereas the family of CBN poverty lines was more robust. Food consumption patterns of the poor show a high degree of substitution among basic staples from one region to another, which is consistent with observed differences in relative food prices, indicating that CBN poverty lines that allow for regional variation in the food consumption bundle may be most appropriate in these settings
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