IDEAS home Printed from https://ideas.repec.org/a/wly/jintdv/v27y2015i3p362-387.html

Identifying the Poorest People and Groups: Strategies Using the Global Multidimensional Poverty Index

Author

Listed:
  • Meera Tiwari
  • Sabina Alkire
  • Jose Manuel Roche
  • Suman Seth
  • Andrew Sumner

Abstract

If development is about poverty reduction, then where the poorest live is an important question. This paper seeks to answer this question using an internationally comparable multidimensional poverty index (MPI) to identify the poor using household surveys across more than a hundred countries. We compare three criteria to identifying the bottom billion: (i) the billion living in the poorest countries; (ii) the billion living in the poorest subnational regions and (iii) the poorest billion according to the intensity of their deprivations. Although there are commonalities across the results based on these three criteria, they produce notably different findings that are relevant to the discussions of sustainable development goals.

Suggested Citation

  • Meera Tiwari & Sabina Alkire & Jose Manuel Roche & Suman Seth & Andrew Sumner, 2015. "Identifying the Poorest People and Groups: Strategies Using the Global Multidimensional Poverty Index," Journal of International Development, John Wiley & Sons, Ltd., vol. 27(3), pages 362-387, April.
    • Handle: RePEc:wly:jintdv:v:27:y:2015:i:3:p:362-387
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Baland,Jean-Marie & Cassan,Guilhem & Decerf,Benoit Marie A, 2022. "Integrating Mortality into Poverty Measurement through the Poverty Adjusted Life Expectancy Index," Policy Research Working Paper Series 10133, The World Bank.
    2. Jean-Marie Baland & Guilhem Cassan & Benoit Decerf, 2021. "The Poverty-Adjusted Life Expectancy index: a consistent aggregation of the quantity and the quality of life," DeFiPP Working Papers 2101, University of Namur, Development Finance and Public Policies.
    3. Xinhua Qi & Shilin Ye & Yecheng Xu & Jing Chen, 2022. "Uneven dynamics and regional disparity of multidimensional poverty in China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 159(1), pages 169-189, January.
    4. Bhatt, Punita & Ahmad, Ali J. & Roomi, Muhammad Azam, 2016. "Social innovation with open source software: User engagement and development challenges in India," Technovation, Elsevier, vol. 52, pages 28-39.
    5. Hoy Chris & Sumner Andy, 2016. "Global Poverty and Inequality: Is There New Capacity for Redistribution in Developing Countries?," Journal of Globalization and Development, De Gruyter, vol. 7(1), pages 117-157, June.
    6. Guo, Junping & Qu, Song, 2021. "Multidimensional and Relative Poverty in Rural China: Evidence from Micro-Level Data of 6145 Households," 2021 Conference, August 17-31, 2021, Virtual 315040, International Association of Agricultural Economists.
    7. Khaufelo Raymond Lekobane, 2022. "Leaving No One Behind: An Individual-Level Approach to Measuring Multidimensional Poverty in Botswana," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 162(1), pages 179-208, July.
    8. Sabina Alkire and Suman Seth, 2016. "Identifying Destitution through Linked Subsets of Multidimensionally Poor: An Ordinal Approach," OPHI Working Papers ophiwp099.pdf, Queen Elizabeth House, University of Oxford.
    9. Keming Huang & Fangzhou Xia, 2023. "Classification of Rural Relative Poverty Groups and Measurement of the Influence of Land Elements: A Questionnaire-Based Analysis of 23 Poor Counties in China," Land, MDPI, vol. 12(4), pages 1-23, April.
    10. Guo, Junping & Qu, Song & Zhu, Tiehui, 2022. "Estimating China’s relative and multidimensional Poverty: Evidence from micro-level data of 6145 rural households," World Development Perspectives, Elsevier, vol. 26(C).
    11. Yadira Diaz, 2015. "Differences in needs and multidimensional deprivation measurement," Working Papers 387, ECINEQ, Society for the Study of Economic Inequality.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:jintdv:v:27:y:2015:i:3:p:362-387. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/journal/5102/home .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.