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Inter-regional Poverty Comparisons: Case of West Bengal

Author

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  • Somnath Chattopadhyay

    (Economic Research Unit, Indian Statistical Institute, 203 B. T. Road, Kolkata 700108, India)

Abstract

This paper aims to explore into the causes of the differential levels of economic well being in the two parts of West Bengal, an eastern state of India in terms of incidences of poverty and various socio economic explanatory variables. Using a regression based technique, the incidences of poverty are found separately for these two parts, i.e., North Bengal and South Bengal. The disparity in poverty estimates (in particular, the Head Count Ratio (HCR) between rural North and South Bengal is studied. The difference between the poverty estimates is then decomposed into a characteristics effect, showing the effect of the regional characteristics and a coefficients effect, showing the effects of the differential impact of the characteristics over the regions using the familiar Oaxaca decomposition method and the results are interpreted in terms of policy prescriptions.

Suggested Citation

  • Somnath Chattopadhyay, 2011. "Inter-regional Poverty Comparisons: Case of West Bengal," Journal of Quantitative Economics, The Indian Econometric Society, vol. 9(2), pages 104-122, July.
    • Handle: RePEc:jqe:jqenew:v:9:y:2011:i:2:p:104-122
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    References listed on IDEAS

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    3. Sumon Kumar Bhaumik & Ira N. Gang & Myeong-Su Yun, 2006. "A Note on Decomposing Differences in Poverty Incidence Using Regression Estimates: Algorithm and Example," Departmental Working Papers 200633, Rutgers University, Department of Economics.
    4. S. Mahendra Dev, 2008. "India," Chapters, in: Anis Chowdhury & Wahiduddin Mahmud (ed.), Handbook on the South Asian Economies, chapter 1, Edward Elgar Publishing.
    5. Geda, A. & de Jong, N. & Mwabu, G. & Kimenyi, M.S., 2001. "Determinants of poverty in Kenya : a household level analysis," ISS Working Papers - General Series 19095, International Institute of Social Studies of Erasmus University Rotterdam (ISS), The Hague.
    6. Bigman, David & Srinivasan, P. V., 2002. "Geographical targeting of poverty alleviation programs: methodology and applications in rural India," Journal of Policy Modeling, Elsevier, vol. 24(3), pages 237-255, June.
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    Cited by:

    1. Gadom DJAL-GADOM & Armand MBOUTCHOUANG KOUNTCHOU, 2016. "Cross-County Poverty Comparisons In Chad: The Impact Of The Oil Revenues Redistribution Policy," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 44, pages 61-78.
    2. Somnath Chattopadhyay & Amita Majumder & Hasanur Jaman, 2014. "Decomposition of inter-regional poverty gap in India: a spatial approach," Empirical Economics, Springer, vol. 46(1), pages 65-99, February.
    3. Somnath Chattopadhyay, 2011. "Earnings efficiency and poverty dominance analysis: a spatial approach," Economics Bulletin, AccessEcon, vol. 31(3), pages 2298-2318.
    4. Sulekha Hembram & Sohini Mukherjee & Sushil Kr. Haldar, 2020. "Regional convergence of social and economic development in the districts of West Bengal, India: Do clubs exist? Does space matter? An empirical analysis using DLHS I–IV and NFHS IV data," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 22(1), pages 58-90, June.

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    More about this item

    Keywords

    Poverty Incidence; Oaxaca Decomposition; Delta;
    All these keywords.

    JEL classification:

    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General

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