Dynamics of Multidimensional Poverty and Uni-dimensional Income Poverty: An Evidence of Stability Analysis from China
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Abstract
In this paper, we construct an illustrative multidimensional poverty index for China and compare it with income poverty using the panel data from multiple waves of the China Health and Nutrition Survey. We use first order stochastic dominance method and regression analysis to test the stability of multidimensional poverty measures and probe the often-observed mis-match between multidimensional measures and income measures. We find as expected that China’s multidimensional poverty is significantly higher in rural areas and in the less developed western provinces. But relative to the income poverty, the multidimensional poverty is less volatile. Also, the ranking of provinces by income and multidimensional poverty varies. The multidimensional poverty measures are somewhat sensitive to the large change of weight, but if we control the indicators’ weight, then the multidimensional poverty measures are stable to a change of indicators.
Keywords
Poverty measurement Multidimensional poverty Stability Weight Robustness tests Mis-matchJEL Classification
I3 I32 O1 D63Notes
Acknowledgements
Funding was provided by the Research project in Humanities and Social Sciences by the Ministry of Education of China (Grant No. 14YJC790026).
References
- Alkire, S. (2007). The missing dimensions of poverty data: Introduction to the special issue. Oxford Development Studies, 35(4), 347–359.CrossRefGoogle Scholar
- Alkire, S. (2008). Choosing dimensions: The capability approach and multidimensional poverty. MPRA working paper No. 8862.Google Scholar
- Alkire, S., & Foster, J. (2007). Counting and multidimensional poverty measurement. OPHI working paper.Google Scholar
- Alkire, S., & Foster, J. (2011). Counting and multidimensional poverty measurement. Journal of Public Economics, 95(7–8), 476–487.CrossRefGoogle Scholar
- Alkire, S., Foster, J., Seth, S., Roche, J. M., & Ballon, P. (2015). Multidimensional poverty measurement and analysis. Oxford: Oxford University Press.CrossRefGoogle Scholar
- Alkire, S., Jindra, C., Robles, G., & Vaz, A. (2016). “Multidimensional Poverty Index-2016: Brief methodological note and results.” OPHI briefing 42. Oxford: Oxford University Press.Google Scholar
- Alkire, S., & Santos, M. E. (2010). Acute multidimensional poverty: A new index for developing countries. United Nations Development Programme Human Development Reports Research Paper.Google Scholar
- Alkire, S., & Santos, M. E. (2014). Measuring acute poverty in the developing world: Robustness and scope of the Multidimensional Poverty Index. World Development, 59, 251–274.CrossRefGoogle Scholar
- Alkire, S., & Seth, S. (2015). Multidimensional poverty reduction in India between 1999 and 2006: Where and How? World Development, 72, 93–108.CrossRefGoogle Scholar
- Anand, S. & Sen, A. (1997). Concepts of human development and poverty: A multidimensional perspective (pp. 1–20). United Nations Development Programme, Poverty and human development: Human development papers 1997. New York: United Nations.Google Scholar
- Atkinson, A. B. (2003). Multidimensional deprivation: Contrasting social welfare and counting approaches. Journal of Economic Inequality, 1(1), 51–65.CrossRefGoogle Scholar
- Banerjee, A. V., & Duflo, E. (2011). Poor economics: A radical rethinking of the way to fight global poverty. U.S.: Public Affairs.Google Scholar
- Bourguignon, F., & Chakravarty, S. R. (2003). The measurement of multidimensional poverty. Journal of Economic Inequality, 1(1), 25–49.CrossRefGoogle Scholar
- Davidson, R., & Duclos, J.-Y. (2000). Statistical inference for stochastic dominance and for the measurement of poverty and inequality. Econometrica, 68(6), 1435–1464.CrossRefGoogle Scholar
- Decancq, K., & Lugo, M. A. (2013). Weights in multidimensional indices of wellbeing: An overview. Econometric Reviews, 32(1), 7–34.CrossRefGoogle Scholar
- Deutsch, J., & Silber, J. (2005). Measuring multidimensional poverty: An empirical comparison of various approaches. Review of Income and Wealth, 51(1), 145–174.CrossRefGoogle Scholar
- Duclos, J.-Y., & Makdissi, P. (2005). Squential stochastic dominance and the robustness of poverty orderings. Review of Income and Wealth, 51(1), 63–87.CrossRefGoogle Scholar
- Duclos, J.-Y., Sahn, D., & Younger, S. D. (2006). Robust multidimensional poverty comparisons. The Economic Journal, 116(514), 943–968.CrossRefGoogle Scholar
- Duflo, E., Greenstone, M., Guiteras, R. & Clasen, T. (2015). Toilets can work: Short and medium run health impacts of addressing complementaries and externalities in water and sanitation. Working paper.Google Scholar
- Foster, J., Greer, J., & Thorbecke, E. (1984). A class of decomposable poverty measures. Econometrica, 52(3), 761–766.CrossRefGoogle Scholar
- Foster, J. E., McGillivray, M., & Seth, S. (2013). Rank robustness of composite indices. Econometric Reviews, 32(1), 33–56.CrossRefGoogle Scholar
- Khan, A. U., Saboor, A., Hussain, A., Sadiq, S., & Mohsin, A. Q. (2013). Investigating multidimensional poverty across regions in Sindh province of Pakistan. Social Indicators Research, 119(1), 515–532.Google Scholar
- Labar, K., & Bresson, F. (2011). A multidimensional analysis of poverty in China from 1991 to 2006. China Economic Review, 22(3), 646–668.CrossRefGoogle Scholar
- Montoya, A., & Teixeria, K. (2017). Multidimensional poverty in Nicargua: Are female headed households better off? Social Indicators Research, 132, 1037–1063.CrossRefGoogle Scholar
- Njong, M. A. & Ningaye, P. (2008). Characterizing weights in the measurement of multidimensional poverty: An application of data-driven approaches to Cameroonian data. OPHI working paper No. 21.Google Scholar
- Oginni, A., Ahonsi, B., & Ukwuije, F. (2013). Are female-headed households typically poorer than male-headed households in Nigeria. The Journal of Socio-Economics, 45, 132–137.CrossRefGoogle Scholar
- Putnam, H. (2004). The collapse of the fact/value dichotomy and other essays. Cambridge: Harvard University Press.Google Scholar
- Ravallion, M. (2011). On multidimensional indices of poverty. Journal of Economic Inequality, 9(2), 235–248.CrossRefGoogle Scholar
- Sen, A. K. (1967). The nature and classes of prescriptive judgements. The Philosophical Quarterly, 17(66), 46–62.CrossRefGoogle Scholar
- Sen, A. K. (1976). Poverty: An ordinal approach to measurement. Econometrica, 44(2), 219–231.CrossRefGoogle Scholar
- Sen, A. K. (1985). Commodities and Capabilities. Amsterdam: North Holland.Google Scholar
- Sen, A. K. (1999). Development as freedom. Oxfrod: Oxford University Press.Google Scholar
- Tsui, K. Y. (2002). Multidimensional poverty index. Social Choice and Welfare, 19(1), 69–93.CrossRefGoogle Scholar
- UN. (2003). Indicators for monitoring the Millennium Development Goals. New York: United Nations.Google Scholar
- UNESCO. (2010). Reaching the marginalized. Oxford: Oxford University Press.Google Scholar
- Wang, X. L., & Alkire, S. (2009). Measurement of multidimensional poverty in China: Estimation and policy implications. Chinese Rural Economy, 12, 4–23. (in Chinese).Google Scholar
- Wang, X., Feng, H., Xia, Q. & Alkire, S. (2009). On the relationship between income poverty and multidimensional poverty in China. OPHI Working paper, University of Oxford.Google Scholar
- Yu, J. (2013). Multidimensional poverty in China: Findings based on the CHNS. Social Indicators Research, 112(2), 315–336.CrossRefGoogle Scholar
- Zou, W., & Fang, Y. F. (2011). A multidimensional study of China’s poverty dynamics. Chinese Journal of Population Science, 6, 49–59. (in Chinese).Google Scholar