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    Empirical Analysis of Determinants, Distribution and Dynamics of Poverty

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    Author(s)
    Harttgen, Kenneth
    Language
    English
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    Abstract
    Poverty and inequality persist in many dimensions in the developing world. In order to understand the determinants of poverty and its distribution between and within countries, it is necessary to know its dimensions and the channels through which poverty and inequality affect human well-being. This book analyzes the spatial disparities of the outcomes and determinants of poverty, the interdependencies of dimensions of poverty, the distribution of progress in human development over the population and the dynamics of poverty risk over time. The study takes into account the global spread of poverty. Based on cross-country comparisons of countries from Africa, Latin America, and South Asia, this study does not only consider on average outcomes and determinants of different indicators of human well-being, but also examines their distribution between and within countries.
    URI
    http://library.oapen.org/handle/20.500.12657/26892
    Keywords
    AIDS; Analysis; Armut; Child Mortality; Determinants; Distribution; Dynamics; Empirical; Entwicklungsländer; Harttgen; Household's Vulnerability; Poverty; Poverty; Pro-Poor Growth; Socio-economic effect of HIV; Undernutrition
    DOI
    10.3726/b13880
    ISBN
    9783631753583
    OCN
    1083007181
    Publisher
    Peter Lang International Academic Publishers
    Publisher website
    https://www.peterlang.com/
    Publication date and place
    Bern, 2018
    Series
    Goettinger Studien zur Entwicklungsoekonomik / Goettingen Studies in Development Economics, 19
    Classification
    Political science and theory
    Political structure and processes
    Development economics and emerging economies
    Economic systems and structures
    Pages
    204
    Rights
    https://creativecommons.org/licenses/by/4.0/legalcode
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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