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Measuring Multidimensional Poverty According to National Definitions: Operationalising Target 1.2 of the Sustainable Development Goals

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  • Marco Pomati

    (Cardiff University)

  • Shailen Nandy

    (Cardiff University)

Abstract

The first Sustainable Development Goal (SDG) tasks countries with eradicating poverty in all its dimensions according to national definitions. This presents considerable challenges for poverty researchers and national statistical offices charged with collecting data to monitor progress on meeting of this ambitious target. Our paper focuses on how the different dimensions of poverty might be mapped out, and compared, within and across heterogeneous countries and societies, using a method called the Consensual Approach to poverty measurement. It explains how the approach can inform different poverty measurement frameworks (e.g. rights based, capabilities or deprivation of basic needs approaches), how it has already been used successfully across low, middle- and high-income countries and sets out some key lessons and future challenges. The paper uses data from the demographic and health surveys (DHS) and World Bank’s Core Welfare Indicator Questionnaire surveys to demonstrate cross- and intra-national consensus about what constitutes minimally acceptable living standards across several countries in West Africa; we suggest that existing survey platforms, like national household income and expenditure surveys, DHS or even UNICEF’s Multiple Indicator Cluster Surveys could (with minor additions) be used to apply the Consensual Approach to measure multidimensional poverty in children and adults across countries, and thus aid reporting for the SDGs.

Suggested Citation

  • Marco Pomati & Shailen Nandy, 2020. "Measuring Multidimensional Poverty According to National Definitions: Operationalising Target 1.2 of the Sustainable Development Goals," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(1), pages 105-126, February.
  • Handle: RePEc:spr:soinre:v:148:y:2020:i:1:d:10.1007_s11205-019-02198-6
    DOI: 10.1007/s11205-019-02198-6
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    2. Long Yang & Haiyang Lu & Sangui Wang & Meng Li, 2021. "Mobile Internet Use and Multidimensional Poverty: Evidence from A Household Survey in Rural China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 158(3), pages 1065-1086, December.
    3. Carunia Mulya Firdausy & Dwi Andayani Budisetyowati, 2022. "Variables, Dimensions, and Indicators Important to Develop the Multidimensional Poverty Line Measurement in Indonesia," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 162(2), pages 763-802, July.
    4. Andrew Dunn & Clare Saunders, 2022. "‘The Rise of Mass Poverty’? Breadline Britain/Poverty and Social Exclusion (1983–2012) Evidence Revisited," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(2), pages 929-946, November.

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