IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2023i1p205-d1029306.html
   My bibliography  Save this article

A Three-Component Decomposition of the Change in Relative Poverty: An Application to China

Author

Listed:
  • Zengzeng Fan

    (Business School, Zhengzhou University, Zhengzhou 450001, China)

  • Wei Zou

    (Economics and Management School, Wuhan University, Wuhan 430072, China)

Abstract

China has eliminated absolute poverty and begun to tackle relative poverty, yet the change in relative poverty in China has been less studied. In this paper, we develop a three-component decomposition of the change in relative poverty and apply it to analyze the relative poverty in China. The change in relative poverty is decomposed into identification, growth, and redistribution components. We compare the three-component decomposition with other decomposition methods in the existing literature and show the advantages of the former. Our study, using the China Family Panel Studies (CFPS) 2010–2018 data, shows that relative poverty is rising. Examining the periods of 2012–2014, 2014–2016, and 2016–2018, we show that the three components differ in their contribution to relative poverty. The identification component rises with income growth and increases relative poverty by 8.42%, 12.19%, and 12.55%, respectively. The growth component reduces the incidence of relative poverty by 8.34%, 11.24%, and 12.18%, respectively. In comparison, the redistribution component increases the incidence of relative poverty by 2.88%, 1.12%, and 6.60%, respectively.

Suggested Citation

  • Zengzeng Fan & Wei Zou, 2023. "A Three-Component Decomposition of the Change in Relative Poverty: An Application to China," Land, MDPI, vol. 12(1), pages 1-15, January.
  • Handle: RePEc:gam:jlands:v:12:y:2023:i:1:p:205-:d:1029306
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/1/205/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/12/1/205/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Martin Ravallion, 2020. "On the Origins of the Idea of Ending Poverty," NBER Working Papers 27808, National Bureau of Economic Research, Inc.
    2. Ali, Ali Abdel Gadir, 1998. "Dealing with Poverty and Income Distribution Issues in Developing Countries: Cross-Regional Experiences," Journal of African Economies, Centre for the Study of African Economies, vol. 7(0), pages 77-115, December.
    3. Amartya Sen, 1976. "Real National Income," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 43(1), pages 19-39.
    4. Ravallion, Martin & Chen, Shaohua, 2019. "Global poverty measurement when relative income matters," Journal of Public Economics, Elsevier, vol. 177(C), pages 1-1.
    5. De MESNARD, Louis, 2007. "Poverty reduction: the paradox of the endogenous poverty line," LEG - Document de travail - Economie 2007-05, LEG, Laboratoire d'Economie et de Gestion, CNRS, Université de Bourgogne.
    6. Sheshinski, Eytan, 1972. "Relation between a social welfare function and the gini index of income inequality," Journal of Economic Theory, Elsevier, vol. 4(1), pages 98-100, February.
    7. Martin Ravallion, 2020. "On Measuring Global Poverty," Annual Review of Economics, Annual Reviews, vol. 12(1), pages 167-188, August.
    8. Fujii, Tomoki, 2017. "Dynamic Poverty Decomposition Analysis: An Application to the Philippines," World Development, Elsevier, vol. 100(C), pages 69-84.
    9. Chen, Shaohua & Ravallion, Martin, 2021. "Reconciling the conflicting narratives on poverty in China," Journal of Development Economics, Elsevier, vol. 153(C).
    10. Francis Menjo Baye, 2006. "Growth, Redistribution and Poverty Changes in Cameroon: A Shapley Decomposition Analysis," Journal of African Economies, Centre for the Study of African Economies, vol. 15(4), pages 543-570, December.
    11. Datt, Gaurav & Ravallion, Martin, 1992. "Growth and redistribution components of changes in poverty measures : A decomposition with applications to Brazil and India in the 1980s," Journal of Development Economics, Elsevier, vol. 38(2), pages 275-295, April.
    12. Anthony Shorrocks, 2013. "Decomposition procedures for distributional analysis: a unified framework based on the Shapley value," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 11(1), pages 99-126, March.
    13. Louis de Mesnard, 2007. "The paradox of endogenous poverty line in the poverty indices," Post-Print halshs-00266747, HAL.
    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. Wei Zou & Xiaopei Cheng & Zengzeng Fan & Chuhao Lin, 2023. "Measuring and Decomposing Relative Poverty in China," Land, MDPI, vol. 12(2), pages 1-24, January.
    2. Fujii, Tomoki, 2017. "Dynamic Poverty Decomposition Analysis: An Application to the Philippines," World Development, Elsevier, vol. 100(C), pages 69-84.
    3. Ravallion, Martin & Chen, Shaohua, 2022. "Fleshing out the olive? Observations on income polarization in China since 1981," China Economic Review, Elsevier, vol. 76(C).
    4. Decerf,Benoit Marie A, 2022. "Absolute and Relative Poverty Measurement : A Survey," Policy Research Working Paper Series 10008, The World Bank.
    5. Andrea Brandolini & John Micklewright, 2023. "Measuring global poverty," Chapters, in: Jacques Silber (ed.), Research Handbook on Measuring Poverty and Deprivation, chapter 6, pages 60-69, Edward Elgar Publishing.
    6. Paul S. F. Yip & Jacky H. K. Wong & Billy Y. G. Li & Yi Zhang & Chi Leung Kwok & Meng Ni Chen, 2017. "Assessing the Impact of Population Dynamics on Poverty Measures: A Decomposition Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 134(2), pages 531-545, November.
    7. Tomoki Fujii, 2015. "Poverty decomposition by regression: An application to Tanzania," Working Papers e097, Tokyo Center for Economic Research.
    8. Ravallion, Martin & Chen, Shaohua, 2019. "Global poverty measurement when relative income matters," Journal of Public Economics, Elsevier, vol. 177(C), pages 1-1.
    9. Fujii Tomoki, 2015. "Poverty decomposition by regression," WIDER Working Paper Series 102, World Institute for Development Economic Research (UNU-WIDER).
    10. Xiangxiang Zhang & Hong Liu, 2022. "Heterogeneity Perspective on the Dynamic Identification of Low-Income Groups and Quantitative Decomposition of Income Increase: Evidence from China," Sustainability, MDPI, vol. 14(15), pages 1-18, July.
    11. Wang, Chen & Wan, Guanghua, 2015. "Income polarization in China: Trends and changes," China Economic Review, Elsevier, vol. 36(C), pages 58-72.
    12. Yingfeng Fang & Fen Zhang, 2021. "The Future Path To China’s Poverty Reduction—Dynamic Decomposition Analysis With The Evolution Of China’s Poverty Reduction Policies," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 158(2), pages 507-538, December.
    13. Chen, Shaohua & Ravallion, Martin, 2021. "Reconciling the conflicting narratives on poverty in China," Journal of Development Economics, Elsevier, vol. 153(C).
    14. Gregorio Gimenez & Ana Isabel Gil-Lacruz & Marta Gil-Lacruz, 2021. "Is Happiness Linked to Subjective Life Expectancy? A Study of Chilean Senior Citizens," Mathematics, MDPI, vol. 9(17), pages 1-12, August.
    15. Anson Au, 2023. "Reassessing the econometric measurement of inequality and poverty: toward a cost-of-living approach," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-10, December.
    16. Piotr Paradowski & Joanna Wolszczak-Derlacz & Eva Sierminska, 2020. "Inequality, Poverty and Child Benefits: Evidence from a Natural Experiment," LIS Working papers 799, LIS Cross-National Data Center in Luxembourg.
    17. Upton, Joanna & Constenla-Villoslada, Susana & Barrett, Christopher B., 2022. "Caveat utilitor: A comparative assessment of resilience measurement approaches," Journal of Development Economics, Elsevier, vol. 157(C).
    18. David Dollar & Tatjana Kleineberg & Aart Kraay, 2015. "Growth, inequality and social welfare: cross-country evidence," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 30(82), pages 335-377.
    19. Oihana Aristondo & Conchita D'Ambrosio & Casilda Lasso de la Vega, 2023. "Decomposing the changes in poverty: Poverty line and distributional effects," Bulletin of Economic Research, Wiley Blackwell, vol. 75(4), pages 1048-1063, October.
    20. Touhami Abdelkhalek & Dorothee Boccanfuso, 2023. "Is the Moroccan Fiscal System Progressive ? A Shapley Decomposition," Policy notes & Policy briefs 2026, Policy Center for the New South.

    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:gam:jlands:v:12:y:2023:i:1:p:205-:d:1029306. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.