Multidimensional poverty measurement and decomposition of households in poor areas: based on the China rural poverty monitoring household data in 2010

YANG Long1 WANG Sangui1

(1.School of Agricultural Economics and Rural Development, Renmin University of China, Beijing 100872)

【Abstract】Multidimensional poverty measurement can reflect the poverty status comprehensively. This paper measures and decomposes multidimensional poverty of poor areas in rural China. We find that the multidimensional poverty index is not consistent with its contribution rate because of the population weight. Low-income households undergo more serious multidimensional poverty, but poverty line’s rising benefits more for the lower-middle income households. Compared with national factors, terrain factors influence the multidimensional poverty. Dimensional decomposition shows that drinking water rather than income is the most severe problem the households faced.

【Keywords】 multidimensional poverty; poverty monitoring survey; poverty line; contribution rate;


【Funds】 “Study on the Strategic Development of Poverty Alleviation in Special Poor Areas in China,” a significant tender project by the National Social Science Foundation (10ZD&025) “The Vulnerability of Households and Financial Intervention in Poor Rural Areas”, the Scholarship Program for Doctoral Dissertation by the China Institute for Rural Studies, Tsinghua University (201325) “The Impact of Financial Intervention in Poor Areas on the Vulnerability of Rural Households,” an item of the Scientific Research Foundation of Renmin University of China (sponsored by the Fundamental Research Funds for the Central Universities) (14XNH077)

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    [1] Wang S. Management World (管理世界), (11): 78–88 (2008).

    [2] World Bank. From Poor Areas to Poor People: China's Evolving Poverty Reduction Agenda: An Assessment of Poverty and Inequality in China. Washington D.C.: World Bank, 1–9 (2009).

    [3] Atkinson, A. Multidimensional Deprivation: Contrasting Social Welfare and Counting Approaches. Journal of Economic Inequality,1 (1): 51–65 (2003).

    [4] Bourguignon, F. & Chakravarty, S. The Measurement of Multidimensional Poverty. Journal of Economic Inequality, 1 (1): 25–49 (2003).

    [5] Alkire, S. & Foster, J. Counting and Multidimensional Poverty Measurement. Journal of Public Economics, 95 (7): 476–487 (2011).

    [6] UNDP. Human Development Report 2013. New York: United Nations Development Program, 2013.

    [7] Labar, K. & Bresson, F. A Multidimensional Analysis of Poverty in China from 1991 to 2006.China Economic Review, 22 (4):646–668 (2011).

    [8] Alkire, S. Wang, X. (trans.) Chinese Rural Economy (中国农村经济). (12): 4–10 (2009).

    [9] Gao, Y. Statistical Research (统计研究), (11): 61–66 (2012).

    [10] Wang, S. & Wang, X. Journal of China Agricultural University (Social Sciences Edition) (中国农业大学学报 (社会科学版)), (2): 1–10 (2013).

    [11] Chen, L. Economic Review (经济评论), (5): 5–10 (2008).

    [12] Li, J. Finance & Trade Economics (财贸经济),(10): 63–68 (2010).

    [13] Guo, J. & Wu, G. Chinese Rural Economy (中国农村经济), (2): 12–20 (2012).

    [14] Foster. J.,Greer, J. & Thorbecke, E. A Class of Decomposable Poverty Measures. Econometrica, 52 (3):761–766 (1984).

    [15] Araar, A. & Duclos, J. DASP: Distributive Analysis Stata Package. PEP, CIRPEE, World Bank, and Universit Laval,19 (2012).

    [16] Wang, S., Wang, H. & Wang, P. Journal of Agrotechnical Economics (农业技术经济), (1): 20–31 (2007).

    [17] Cao, H. doctoral thesis, China Agricultural University, 83 (2003).

    [18] Wang, Z., Fan, C. & He, Y. et al. Social Sciences in China (中国社会科学), (6): 73–88 (2009).

This Article


CN: 22-1017/C

Vol 37, No. 02, Pages 15-25

March 2015


Article Outline


  • 1 Introduction
  • 2 Multidimensional poverty measurement approach
  • 3 Sources of statistics and the selection of dimensional indicators
  • 4 Poverty measurement and decomposition based on different methods of grouping
  • 5. Conclusions and policy suggestions
  • References