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Poverty, time and vagueness: integrating the core poverty and chronic poverty frameworks

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  • David Clark
  • David Hulme

Abstract

In recent decades there have been considerable steps forward in terms of understanding poverty. This paper identifies three 'meta-dimensions' of poverty, which relate to: (i) depth and severity; (ii) breadth and multidimensionality; and (iii) time and duration. The advances that have been made in terms of conceptualising, measuring and analysing poverty in each of these areas are briefly considered. It is shown that the third and final 'meta-dimension'--time and duration--has been neglected until relatively recently. It is argued that time, and, in particular, duration is an important analytical component for understanding the experience of poverty and the processes that create and reduce poverty. The final part of the paper suggests a way of integrating time into a unified framework for understanding poverty, which can deal with the depth, breadth and duration of poverty. This involves extending Mozaffar Qizilbash's poverty and vagueness methodology to include duration. Copyright , Oxford University Press.

Suggested Citation

  • David Clark & David Hulme, 2010. "Poverty, time and vagueness: integrating the core poverty and chronic poverty frameworks," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 34(2), pages 347-366, March.
  • Handle: RePEc:oup:cambje:v:34:y:2010:i:2:p:347-366
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    File URL: http://hdl.handle.net/10.1093/cje/ben046
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    Citations

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    Cited by:

    1. Manh Hung Do, 2023. "The Role of Savings and Income Diversification in Households’ Resilience Strategies: Evidence from Rural Vietnam," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 168(1), pages 353-388, August.
    2. Katsushi S. Imai & Jing You, 2011. "Poverty Dynamics of Households in Rural China: Identifying Multiple Pathways for Poverty Transition," Discussion Paper Series DP2011-35, Research Institute for Economics & Business Administration, Kobe University.
    3. Adam Martin & Matias Petersen, 2019. "Poverty Alleviation as an Economic Problem," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 43(1), pages 205-221.
    4. Krozer, Alice, 2010. "A regional basic income: towards the eradication of extreme poverty in Central America," Sede Subregional de la CEPAL en México (Estudios e Investigaciones) 25938, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    5. Michael Hoy & Brennan Thompson & Buhong Zheng, 2012. "Empirical issues in lifetime poverty measurement," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 10(2), pages 163-189, June.
    6. Mario Biggeri & Luca Bortolotti & Vincenzo Mauro, 2021. "The Analysis of Well‐Being Using the Income‐Adjusted Multidimensional Synthesis of Indicators: The Case of China☆," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(3), pages 684-704, September.
    7. Vincenzo Mauro & Mario Biggeri & Filomena Maggino, 2018. "Measuring and Monitoring Poverty and Well-Being: A New Approach for the Synthesis of Multidimensionality," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(1), pages 75-89, January.
    8. Sung-Geun Kim, 2015. "Fuzzy Multidimensional Poverty Measurement: An Analysis of Statistical Behaviors," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 120(3), pages 635-667, February.
    9. Waibel, Hermann & Hohfeld, Lena, 2016. "Poverty and Nutrition: A Case Study of Rural Households in Thailand and Viet Nam," ADBI Working Papers 623, Asian Development Bank Institute.
    10. Manh Hung Do, 2023. "Saving up and diversifying income for a rainy day: Implications for households' resilience strategies and poverty," TVSEP Working Papers wp-033, Leibniz Universitaet Hannover, Institute for Environmental Economics and World Trade, Project TVSEP.

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