IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/105954.html

Improving Measurement of Multidimensional Child Poverty in Vietnam

Author

Listed:
  • Leander, Sebastian Silva
  • Nguyen, Cuong Viet
  • Nguyen, Van-Anh Thi

Abstract

This study analyses multidimensional child poverty in Vietnam, using a child-specific measure of poverty that captures the dimensions of wellbeing that are most relevant to children. Vietnam has experienced a rapid and robust decrease in multidimensional child poverty in recent years. All the indicators of multidimensional child poverty decreased over the period 2010-2014, except for a slight increase in calorie consumption. Multi-dimensional child poverty in Viet Nam sharply decreased in the period 2010-2014, with the proportion of children deprived in more than one fifth of the dimensions falling more than 10 percentage points. Although multi-dimensional child poverty has declined in different groups of children, the poverty gap among some groups of children remains high. For instance, the multidimensional poverty rate of ethnic minority children was 52.3%, while the Kinh majority was 12.3% (at the cut-off level of one fifth) by 2014.

Suggested Citation

  • Leander, Sebastian Silva & Nguyen, Cuong Viet & Nguyen, Van-Anh Thi, 2018. "Improving Measurement of Multidimensional Child Poverty in Vietnam," MPRA Paper 105954, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:105954
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/105954/1/MPRA_paper_105954.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Martin Ravallion, 2011. "On multidimensional indices of poverty," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 9(2), pages 235-248, June.
    2. François Bourguignon & Satya R. Chakravarty, 2019. "The Measurement of Multidimensional Poverty," Themes in Economics, in: Satya R. Chakravarty (ed.), Poverty, Social Exclusion and Stochastic Dominance, pages 83-107, Springer.
    3. repec:bla:scandj:v:101:y:1999:i:2:p:173-90 is not listed on IDEAS
    4. Larson, David A. & Wilford, Walton T., 1979. "The physical quality of life index: A useful social indicator?," World Development, Elsevier, vol. 7(6), pages 581-584, June.
    5. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7-8), pages 476-487, August.
    6. Anthony B. Atkinson, 1999. "The Contributions of Amartya Sen to Welfare Economics," Scandinavian Journal of Economics, Wiley Blackwell, vol. 101(2), pages 173-190, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Alkire, Sabina & Santos, Maria Emma, 2014. "Measuring Acute Poverty in the Developing World: Robustness and Scope of the Multidimensional Poverty Index," World Development, Elsevier, vol. 59(C), pages 251-274.
    2. Sabina Alkire & James Foster, 2011. "Understandings and misunderstandings of multidimensional poverty measurement," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 9(2), pages 289-314, June.
    3. Anh Thu Quang Pham & Pundarik Mukhopadhaya, 2022. "Multidimensionl Poverty and The Role of Social Capital in Poverty Alleviation Among Ethnic Groups in Rural Vietnam: A Multilevel Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 159(1), pages 281-317, January.
    4. Francesco Farina, 2015. "Development theory and poverty. A review," Working Papers 46-2015, Macerata University, Department of Studies on Economic Development (DiSSE), revised Jan 2015.
    5. Jing You & Sangui Wang & Laurence Roope, 2014. "Multi-dimensional Intertemporal Poverty in Rural China," CSAE Working Paper Series 2014-36, Centre for the Study of African Economies, University of Oxford.
    6. Espinoza-Delgado, José & Klasen, Stephan, 2018. "Gender and multidimensional poverty in Nicaragua: An individual based approach," World Development, Elsevier, vol. 110(C), pages 466-491.
    7. Suman Seth and Gaston Yalonetzky, 2018. "Assessing Deprivation with Ordinal Variables: Depth Sensitivity and Poverty Aversion," OPHI Working Papers ophiwp123.pdf, Queen Elizabeth House, University of Oxford.
    8. Udaya Wagle, 2014. "The Counting-Based Measurement of Multidimensional Poverty: The Focus on Economic Resources, Inner Capabilities, and Relational Resources in the United States," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 115(1), pages 223-240, January.
    9. Vollmer, Frank & Zorrilla-Miras, Pedro & Baumert, Sophia & Luz, Ana Catarina & Woollen, Emily & Grundy, Isla & Artur, Luis & Ribeiro, Natasha & Mahamane, Mansour & Patenaude, Genevieve, 2017. "Charcoal income as a means to a valuable end: Scope and limitations of income from rural charcoal production to alleviate acute multidimensional poverty in Mabalane district, southern Mozambique," World Development Perspectives, Elsevier, vol. 7, pages 43-60.
    10. Malokele Nanivazo, 2015. "First Order Dominance Analysis: Child Wellbeing in the Democratic Republic of Congo," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 122(1), pages 235-255, May.
    11. Ricard Giné‐Garriga & Agustí Pérez‐Foguet, 2019. "Monitoring and targeting the sanitation poor: A multidimensional approach," Natural Resources Forum, Blackwell Publishing, vol. 43(2), pages 82-94, May.
    12. Lungile Ntsalaze & Sylvanus Ikhide, 2018. "Rethinking Dimensions: The South African Multidimensional Poverty Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(1), pages 195-213, January.
    13. Bénédicte Apouey & David Madden, 2023. "Health poverty," Chapters, in: Jacques Silber (ed.), Research Handbook on Measuring Poverty and Deprivation, chapter 19, pages 202-211, Edward Elgar Publishing.
    14. Mateusz Piwowarski & Danuta Miłaszewicz & Małgorzata Łatuszyńska & Mariusz Borawski & Kesra Nermend, 2018. "Application of the Vector Measure Construction Method and Technique for Order Preference by Similarity Ideal Solution for the Analysis of the Dynamics of Changes in the Poverty Levels in the European Union Countries," Sustainability, MDPI, vol. 10(8), pages 1-24, August.
    15. Olu Ajakaiye & Afeikhena T. Jerome & Olanrewaju Olaniyan & Kristi Mahrt & Olufunke A. Alaba, 2014. "Multidimensional Poverty in Nigeria: First Order Dominance Approach," WIDER Working Paper Series wp-2014-143, World Institute for Development Economic Research (UNU-WIDER).
    16. Ajakaiye, Olu & Jerome, Afeikhena T. & Olaniyan, Olanrewaju & Mahrt, Kristi & Alaba, Olufunke A., 2014. "Multidimensional poverty in Nigeria: First order dominance approach," WIDER Working Paper Series 143, World Institute for Development Economic Research (UNU-WIDER).
    17. Decerf, Benoit Marie A, 2025. "A Quick-Fix for Perverse Incentives Inherent in Mainstream Multidimensional Poverty Measures," Policy Research Working Paper Series 11113, The World Bank.
    18. 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).
    19. Deniz Sevinc, 2020. "How Poor is Poor? A novel look at multidimensional poverty in the UK," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(3), pages 833-859, June.
    20. Burhan Can Karahasan & Fırat Bilgel, 2021. "The Topography and Sources of Multidimensional Poverty in Turkey," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 154(2), pages 413-445, April.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development

    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:pra:mprapa:105954. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.