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Livres sur le sujet « Multidimensional poverty measurement »

Auteur : Grafiati

Publié le 9 mars 2023

Mis à jour le 10 mars 2023

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1

Wang, Xiaolin. Multidimensional Poverty Measurement. Singapore : Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1189-7.

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Wagle, Udaya. Multidimensional Poverty Measurement. New York, NY : Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-75875-6.

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3

Apablaza, Mauricio. Decomposing multidimensional poverty dynamics. Oxford, UK : Young Lives, 2013.

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4

Kakwani, Nanak, et Jacques Silber, dir. Quantitative Approaches to Multidimensional Poverty Measurement. London : Palgrave Macmillan UK, 2008. http://dx.doi.org/10.1057/9780230582354.

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Nanak, Kakwani, et Silber Jacques, dir. Quantitative approaches to multidimensional poverty measurement. Basingstoke [England] : Palgrave Macmillan, 2008.

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6

Nanak, Kakwani, et Silber Jacques, dir. Quantitative approaches to multidimensional poverty measurement. Basingstoke [England] : Palgrave Macmillan, 2008.

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7

Multidimensional poverty measurement : Concepts and applications. New York, NY : Springer, 2008.

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8

Nigerian Economic Society. Annual Conference, dir. Faces of poverty : Multidimensional poverty analysis for Nigeria. Bodija, Ibadan, Nigeria : The Nigerian Economic Society, 2016.

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9

Lemmi, Achille, et Gianni Betti, dir. Fuzzy Set Approach to Multidimensional Poverty Measurement. Boston, MA : Springer US, 2006. http://dx.doi.org/10.1007/978-0-387-34251-1.

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10

Analysis of multidimensional poverty : Theory and case studies. Dordrecht : Springer Verlag, 2009.

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11

S, Subramanian, et Subramanian S. A Chakravarty-D' Ambrosio class of social exclusion measures as a Foster-Greer-Thorbecke class of the headcount indices of multidimensional deprivation : An interpretive and expository note. Chennai : Madras Institute of Development Studies, 2009.

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12

Armut, soziale Ausgrenzung und Klassenstruktur : Zur Integration multidimensionaler und la ngsschnittlicher Perspektiven. Wiesbaden : VS Verlag fu r Sozialwissenschaften, 2008.

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13

Alkire, Sabina, James Foster, Suman Seth, Maria Emma Santos et José Manuel Roche. Multidimensional Poverty Measurement and Analysis. Oxford University Press, 2015.

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14

Dutta, Bhaskar. Multidimensional Poverty. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198812555.003.0004.

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A rich literature on multidimensional poverty measurement has recently sprung up. In this multidimensional setting, an individual is identified as poor or deprived if he or she falls short of these poverty-line-like cut-offs along various dimensions. A key assumption is that these shortfalls are non-comparable—a shortfall in one dimension cannot be compensated by a gain in another. This chapter reviews some of these axiomatic treatments and questions some assumptions. It points out that there are other ways in which one can identify impoverished individuals even within the multidimensional framework.

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15

Kakwani, N., et J. Silber. Quantitative Approaches to Multidimensional Poverty Measurement. Palgrave Macmillan, 2008.

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16

Wagle, Udaya. Multidimensional Poverty Measurement : Concepts and Applications. Springer, 2010.

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17

(Editor), Nanak Kakwani, et Jacques Silber (Editor), dir. Quantitative Approaches to Multidimensional Poverty Measurement. Palgrave Macmillan, 2008.

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18

Kakwani, Nanak C., et Jacques Silber. Quantitative Approaches to Multidimensional Poverty Measurement. Palgrave Macmillan, 2008.

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19

Kakwani, N., et J. Silber. Quantitative Approaches to Multidimensional Poverty Measurement. Palgrave Macmillan Limited, 2008.

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20

Lemmi, Achille A., et Gianni Betti. Fuzzy Set Approach to Multidimensional Poverty Measurement. Springer London, Limited, 2006.

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21

Duclos, Jean-Yves, et Luca Tiberti. Multidimensional Poverty Indices. Sous la direction de Matthew D. Adler et Marc Fleurbaey. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199325818.013.19.

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This chapter reviews and assesses issues involved in the measurement of multidimensional poverty, in particular the soundness of the various “axioms” and properties often imposed on poverty indices. It argues that some of these properties (such as those relating poverty and inequality) may be sound in a unidimensional setting but not so in a multidimensional one. Second, it addresses critically some of the features of recently proposed multidimensional poverty indices, in particular the Multidimensional Poverty Index (MPI) recently put forward by the United Nations Development Program. The MPI suffers from several unattractive features that need to be better understood (given the prominence of the index). The MPI fails in particular to meet all of three properties that one would expect multidimensional poverty indices to obey: continuity, monotonicity, and sensitivity to multiple deprivation. Robustness techniques to address some of the shortcomings of the use of such indices are briefly advocated.

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22

Grynspan, Rebeca, et Luis F. López-Calva. Multidimensional Poverty in Latin America : Concept, Measurement, and Policy. Oxford University Press, 2011. http://dx.doi.org/10.1093/oxfordhb/9780199571048.013.0028.

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23

Poverty Measurement and Multidimensional Poverty Index : : A Case Study of Agricultural Households in Rural Malaysia. Sintok, Kedah Darul Aman, Malaysia : PTS Publishing House, 2016.

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24

Fuzzy Set Approach to Multidimensional Poverty Measurement Economic Studies in Inequality Social Exclusion and WellBe. Springer, 2010.

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25

Ezzrari, Abdeljaouad, et Paolo Verme. A Multiple Correspondence Analysis Approach to the Measurement of Multidimensional Poverty in Morocco, 2001–2007. The World Bank, 2012. http://dx.doi.org/10.1596/1813-9450-6087.

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(Editor), Achille Lemmi, et Gianni Betti (Editor), dir. Fuzzy Set Approach to Multidimensional Poverty Measurement (Economic Studies in Inequality, Social Exclusion and Well-Being). Springer, 2006.

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27

Pogge, Thomas, et Scott Wisor. Measuring Poverty. Sous la direction de Matthew D. Adler et Marc Fleurbaey. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199325818.013.20.

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This chapter documents a participatory approach to developing a new, gender-sensitive measure of deprivation that improves upon existing measures of poverty and gender equity. Over three years, across 18 sites in Angola, Fiji, Indonesia, Malawi, Mozambique, and the Philippines, men and women in poor communities engaged in a range of qualitative discussions and quantitative evaluation exercises to help develop the Individual Deprivation Measure. The IDM tracks deprivation in 15 dimensions, uses interval scales within dimensions, and can easily be administered in most impoverished areas. It represents a significant advance in multidimensional measurement by focusing on individuals rather than households, by covering all important dimensions of poverty, by being gender-sensitive in the selection and coding of dimensions, and by being appropriately sensitive to the depth of deprivation. The IDM demonstrates the possibility of establishing objective tools of social valuation through a process of public reason.

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28

Betti, Gianni. Analysis of Socio-Economic Conditions : Insights from a Fuzzy Multidimensional Approach. Taylor & Francis Group, 2022.

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29

Dhongde, Shatakshee. Measuring Global Poverty. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190846626.013.259.

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Economists have long been preoccupied with trying to understand the nature and causes of poverty. From Adam Smith to David Ricardo, Thomas Malthus, Karl Marx, and John Stuart Mill, a common belief among economists is that the benefits of economic growth are rarely experienced by the poorer sections of society. An important issue is how to measure global poverty accurately. International organizations such as the United Nations and the World Bank have endeavored to measure global poverty since the adoption of the Millennium Development Goals (MDG), stated in the UN’s Millennium Declaration which was adopted in 2000 by 189 nations. However, measuring global poverty is far from simple. Estimates of poverty and particularly of global poverty are very sensitive to the underlying assumptions, such as the notion of poverty itself, the choice of welfare indicator, the unit of measurement used, and purchasing power parity rates. One of the significant advances in global poverty studies was the World Bank’s introduction of a poverty line in the 1990 World Development Report (WDR). Despite these efforts, the precise number of poor in the world remains ambiguous. Nevertheless, emerging frontiers in poverty analysis indicate new interest in measuring poverty more broadly. Some ideas that may dominate the future of poverty research include multidimensional poverty, vulnerability to poverty, and chronic poverty.

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30

Alkire, Sabina. The Capability Approach and Well-Being Measurement for Public Policy. Sous la direction de Matthew D. Adler et Marc Fleurbaey. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199325818.013.18.

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This chapter presents Sen’s capability approach as a framework for well-being measurement with powerful and ongoing relevance to current work on measuring well-being in order to guide public policy. It discusses how preferences and values inform the relative weights across capabilities, then draws readers’ attention to measurement properties of multidimensional measures that have proven to be policy relevant in poverty reduction. It presents a dual-cutoff counting methodology that satisfies these properties and outlines the assumptions that must be fulfilled in order to interpret ensuing indices as measuring capability poverty. It then discusses Bhutan’s innovative extension of this methodology in the Gross National Happiness Index and reflects upon whether it might be suited to other contexts. It closes by responding at some length to relevant material in other Handbook chapters.

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31

Kus, Basak, Brian Nolan et Christopher T. Whelan. Material Deprivation and Consumption. Sous la direction de David Brady et Linda M. Burton. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199914050.013.26.

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This article examines material deprivation and consumption in relation to poverty. In a developing country context, manifest material deprivation and inadequate levels of consumption have always been central to the conceptualization of poverty and living standards. Direct measures of failure to meet “basic needs” are widely used alongside income-based measures such as the World Bank’s “dollar a day” standard. In contrast, both research and official poverty monitoring in rich countries tend to rely on household income. This article begins with a review of recent research on material deprivation, seen primarily as a means to go “beyond income” in capturing poverty and exclusion. It then considers the mismatch between low income and measured deprivation, along with the notion of multidimensionality and the measurement issues raised in the implementation of multidimensional approaches. Finally, it analyzes conceptual and empirical issues relating to the contrast between income and consumption.

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32

Groh-Samberg, Olaf. Armut, Soziale Ausgrenzung und Klassenstruktur : Zur Integration Multidimensionaler und längsschnittlicher Perspektiven. Westdeutscher Verlag GmbH, 2009.

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