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A Critical Examination of Inter-temporal Spatial Poverty Trends in Bangladesh

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  • Shadlee Rahman

Abstract

This article examines the nature of spatial dimensions of poverty in Bangladesh by undertaking an in-depth investigation of inter-temporal divergence and convergence in poverty levels. Based on the estimations of Alkire–Foster Multidimensional Poverty Index (A–F MPI) for selected years, the article compares trends in broader dimensions of spatial poverty in Bangladesh with income poverty trends available for corresponding periods. The article scrutinizes the validity of the so-called ‘East–West divide’ in view of poverty levels in Bangladesh. The results evince a number of interesting insights. First, trends of income poverty in Bangladesh are not aligned with those of multidimensional poverty. Second, the levels of inter-temporal poverty as per MPI are relatively higher for the rural–urban divide and also at sub-national (division) levels. Third, inter-temporal trends of divergence–convergence in terms of income poverty relating to the East–West divide do not match corresponding movements in MPI. It is argued that while income poverty dimensions remain important, policymakers should pay more attention to broader issues of deprivations to address challenges of poverty in Bangladesh. Therefore, addressing causes of deprivations as captured in MPIs will help achieve balanced spatial development, accelerated poverty reduction and lower income inequality in Bangladesh. JEL: R11, R12, I32, C22

Suggested Citation

  • Shadlee Rahman, 2018. "A Critical Examination of Inter-temporal Spatial Poverty Trends in Bangladesh," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 19(1), pages 108-123, March.
  • Handle: RePEc:sae:soueco:v:19:y:2018:i:1:p:108-123
    DOI: 10.1177/1391561418763469
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    References listed on IDEAS

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    1. World Bank, 2013. "Bangladesh - Poverty Assessment : Assessing a Decade of Progress in Reducing Poverty, 2000-2010," World Bank Publications - Reports 16622, The World Bank Group.
    2. Dollar, David & Kraay, Aart, 2002. "Growth Is Good for the Poor," Journal of Economic Growth, Springer, vol. 7(3), pages 195-225, September.
    3. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7-8), pages 476-487, August.
    4. Henry Overman & Anthony J. Venables, 2005. "Cities in the Developing World," CEP Discussion Papers dp0695, Centre for Economic Performance, LSE.
    5. World Bank, 2008. "Bangladesh - Poverty Assessment for Bangladesh : Creating Opportunities and Bridging the East-West Divide," World Bank Publications - Reports 6144, The World Bank Group.
    6. World Bank, 2008. "Poverty Assessment for Bangladesh," World Bank Publications - Reports 28239, The World Bank Group.
    7. World Bank, 2008. "Bangladesh - Poverty Assessment for Bangladesh : Creating Opportunities and Bridging the East-West Divide," World Bank Publications - Reports 7886, The World Bank Group.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Poverty dynamics; multidimensional poverty; spatial dimensions of poverty; Bangladesh;
    All these keywords.

    JEL classification:

    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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