nach oben

Social Indicators Research

Erschienen in:

03.04.2018

Dynamics of Multidimensional Poverty and Uni-dimensional Income Poverty: An Evidence of Stability Analysis from China

verfasst von: Sabina Alkire, Yingfeng Fang

Erschienen in: Social Indicators Research | Ausgabe 1/2019

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

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.

Vorheriger Artikel International Comparison of Human Development Index Corrected by Greenness and Fairness Indicators and Policy Implications for China

Nächster Artikel Partisan Conflict and Income Inequality in the United States: A Nonparametric Causality-in-Quantiles Approach

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Nur mit Berechtigung zugänglich

The PPP data is from: http://siteresources.worldbank.org/ICPEXT/Resources/ICP_2011.html.

For examples of governments having both official poverty statistics see, for example, Ecuador, Colombia, El Salvador, Costa Rica, Chile, and Bhutan. See Alkire et al. (2015) chapter 1.

The sources and introduction of data are from CHNS website: http://www.cpc.unc.edu/projects/china.

The introduction of sampling procedure is from CHNS website: http://www.cpc.unc.edu/projects/china/about/proj_desc/survey.

In China, although the compulsory education law is issued in 1986, but there is no uniform time to change the years of primary education from 5 to 6 years for different regions. Hence, the cutoff for the years of education follows some important Chinese multidimensional poverty researches, such as Wang and Alkire (2009), Zou and Fang (2011) and so on.

The reference and Stata computation procedures are from WHO: http://www.who.int/growthref/tools/en/.

For the original household-level data, the proportion of missing data is below 1% for each dimension.

We also processed the data into panel data and made a simple comparison analysis in the following part. After processing, there were 1537 household samples left each year for panel data.

The Spearman’s rank correlation coefficients arrive at the same conclusions.

The correlation coefficients among each measures of each year are shown in the Table 13 in this paper’s Appendix.

The regression outcomes with household income controlled are not shown in this paper.

Alkire, S. (2007). The missing dimensions of poverty data: Introduction to the special issue. Oxford Development Studies, 35(4), 347–359.CrossRef

Alkire, S. (2008). Choosing dimensions: The capability approach and multidimensional poverty. MPRA working paper No. 8862.

Alkire, S., & Foster, J. (2007). Counting and multidimensional poverty measurement. OPHI working paper.

Alkire, S., & Foster, J. (2011). Counting and multidimensional poverty measurement. Journal of Public Economics, 95(7–8), 476–487.CrossRef

Alkire, S., Foster, J., Seth, S., Roche, J. M., & Ballon, P. (2015). Multidimensional poverty measurement and analysis. Oxford: Oxford University Press.CrossRef

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.

Alkire, S., & Santos, M. E. (2010). Acute multidimensional poverty: A new index for developing countries. United Nations Development Programme Human Development Reports Research Paper.

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.CrossRef

Alkire, S., & Seth, S. (2015). Multidimensional poverty reduction in India between 1999 and 2006: Where and How? World Development, 72, 93–108.CrossRef

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.

Atkinson, A. B. (2003). Multidimensional deprivation: Contrasting social welfare and counting approaches. Journal of Economic Inequality, 1(1), 51–65.CrossRef

Banerjee, A. V., & Duflo, E. (2011). Poor economics: A radical rethinking of the way to fight global poverty. U.S.: Public Affairs.

Bourguignon, F., & Chakravarty, S. R. (2003). The measurement of multidimensional poverty. Journal of Economic Inequality, 1(1), 25–49.CrossRef

Davidson, R., & Duclos, J.-Y. (2000). Statistical inference for stochastic dominance and for the measurement of poverty and inequality. Econometrica, 68(6), 1435–1464.CrossRef

Decancq, K., & Lugo, M. A. (2013). Weights in multidimensional indices of wellbeing: An overview. Econometric Reviews, 32(1), 7–34.CrossRef

Deutsch, J., & Silber, J. (2005). Measuring multidimensional poverty: An empirical comparison of various approaches. Review of Income and Wealth, 51(1), 145–174.CrossRef

Duclos, J.-Y., & Makdissi, P. (2005). Squential stochastic dominance and the robustness of poverty orderings. Review of Income and Wealth, 51(1), 63–87.CrossRef

Duclos, J.-Y., Sahn, D., & Younger, S. D. (2006). Robust multidimensional poverty comparisons. The Economic Journal, 116(514), 943–968.CrossRef

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.

Foster, J., Greer, J., & Thorbecke, E. (1984). A class of decomposable poverty measures. Econometrica, 52(3), 761–766.CrossRef

Foster, J. E., McGillivray, M., & Seth, S. (2013). Rank robustness of composite indices. Econometric Reviews, 32(1), 33–56.CrossRef

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.

Labar, K., & Bresson, F. (2011). A multidimensional analysis of poverty in China from 1991 to 2006. China Economic Review, 22(3), 646–668.CrossRef

Montoya, A., & Teixeria, K. (2017). Multidimensional poverty in Nicargua: Are female headed households better off? Social Indicators Research, 132, 1037–1063.CrossRef

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.

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.CrossRef

Putnam, H. (2004). The collapse of the fact/value dichotomy and other essays. Cambridge: Harvard University Press.

Ravallion, M. (2011). On multidimensional indices of poverty. Journal of Economic Inequality, 9(2), 235–248.CrossRef

Sen, A. K. (1967). The nature and classes of prescriptive judgements. The Philosophical Quarterly, 17(66), 46–62.CrossRef

Sen, A. K. (1976). Poverty: An ordinal approach to measurement. Econometrica, 44(2), 219–231.CrossRef

Sen, A. K. (1985). Commodities and Capabilities. Amsterdam: North Holland.

Sen, A. K. (1999). Development as freedom. Oxfrod: Oxford University Press.

Tsui, K. Y. (2002). Multidimensional poverty index. Social Choice and Welfare, 19(1), 69–93.CrossRef

UN. (2003). Indicators for monitoring the Millennium Development Goals. New York: United Nations.

UNESCO. (2010). Reaching the marginalized. Oxford: Oxford University Press.

Wang, X. L., & Alkire, S. (2009). Measurement of multidimensional poverty in China: Estimation and policy implications. Chinese Rural Economy, 12, 4–23. (in Chinese).

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.

Yu, J. (2013). Multidimensional poverty in China: Findings based on the CHNS. Social Indicators Research, 112(2), 315–336.CrossRef

Zou, W., & Fang, Y. F. (2011). A multidimensional study of China’s poverty dynamics. Chinese Journal of Population Science, 6, 49–59. (in Chinese).

Titel: Dynamics of Multidimensional Poverty and Uni-dimensional Income Poverty: An Evidence of Stability Analysis from China
verfasst von: Sabina Alkire
Yingfeng Fang
Publikationsdatum: 03.04.2018
Verlag: Springer Netherlands
Erschienen in: Social Indicators Research / Ausgabe 1/2019
Print ISSN: 0303-8300
Elektronische ISSN: 1573-0921
DOI: https://doi.org/10.1007/s11205-018-1895-2

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Wirtschaft"

Weitere Artikel der Ausgabe 1/2019

A Multidimensional Analysis of Quality of Life: Pakistan’s Context

Is Freedom Just About the Absence of Inhibitions, or Also About the Availability of Options?

Wage Inequality and Wage Mobility in Turkey

Social Capital and Health in China: Evidence from the Chinese General Social Survey 2010

Income Inequality, Distributive Justice Beliefs, and Happiness in China: Evidence from a Nationwide Survey

Quality of Life in the European Union: An Econometric Analysis from a Gender Perspective