Skip to main content

Advertisement

SpringerLink
Log in

A Statistical Measurement of Poverty Reduction Effectiveness: Using China as an Example

  • Original Research
  • Published:
Social Indicators Research Aims and scope Submit manuscript

Abstract

Poverty is no longer a problem of income alone. Healthy poverty and capacity poverty have become key factors affecting the poverty reduction effectiveness. Based on “double cut-offs” multidimensional poverty identification method of Alkire and Foster (J Public Econ 95(7–8): 476–487, 2011), this paper proposes a “triple cut-offs” identification method of multidimensional poverty reduction effectiveness, and construct the chronic multidimensional poverty reduction index combined with chronic thinking of Foster (in: Addison T, Hulme D, Kanbur R (eds) Poverty dynamics: interdisciplinary perspectives. Oxford University Press, Oxford, pp 59–76, 2009). And this index can comprehensively and systematically measure the China’s multidimensional poverty reduction effectiveness in terms of both poverty alleviation and poverty returning. In this paper, we find that China's chronic multidimensional poverty alleviation index is greater than the country’s chronic poverty returning index, and the chronic multidimensional poverty alleviation/returning index in rural and western regions is greater than that in its cities and other regions in China. The chronic poverty alleviation of per capita net income and medical insurance have contributed a lot to the overall chronic multidimensional poverty alleviation of China’s rural residents, while poverty returning caused by health and housing difficulties has contributed a lot (48.14%) to the chronic multidimensional poverty alleviation of the country’s urban residents. These findings can provide more targeted guidance for poverty governance.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price includes VAT (France)

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2

Notes

  1. https://cpc.people.com.cn/GB/n1/2017/1028/c64094-29613660.html.

  2. The definition of poverty returning has both a broad sense and a narrow sense. The narrow sense refers to the process that the headcount return to poverty from poverty alleviation. The broad sense means all processes from non-poverty to poverty (Jiang and Zheng 2017). Poverty returning in this paper is the broad sense.

  3. For example, from 2010 to 2012 and from 2012 to 2014, it is an intertemporal period. This paper also refers to an intertemporal period as a single period.

  4. Institute of Social Science Survey, Peking University, Peking University Open Research Data Platform, China Family Panel Studies (CFPS), 2015, version V37, https://doi.org/10.18170/DVN/45LCSO, https://doi.org/10.18170/DVN/45LCSO.

  5. https://www.sohu.com/a/303740299_100015130.

References

  • Arcagni, A., Barbiano di Belgiojoso, E. B., Fattore, M., & Rimoldi, S. M. (2019). Multidimensional analysis of patterns of migrants in Lombardy, using partially ordered sets and selforganizing maps. Social Indicators Research, 141(2), 551–579.

    Article  Google Scholar 

  • Alaimo, L. S., Arcagni, A., Fattore, M., Maggino, F., & Quondamstefano, V. (2020). Measuring equitable and ustainable well-being in Italian regions: The non-aggregative approach. Social Indicators Research. https://doi.org/10.1007/s11205-020-02388-7.

    Article  Google Scholar 

  • Alkire, S., Apablaza, M., Chakravarty, S., & Yalonetzky, G. (2017). Measuring chronic multidimensional poverty. Journal of Policy Modeling, 39(6), 983–1006.

    Article  Google Scholar 

  • Alkire, S., Apablaza, M., Chakravarty, S. R., & Yalonetzky, G. (2014). Measuring chronic multidimensional poverty: A counting approach. OPHI working paper no. 75

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

    Article  Google Scholar 

  • Foster, J. E. (2007). A class of chronic poverty measures. Vanderbilt University working paper no. 07-W01.

  • Foster, J. E. (2009). A class of chronic poverty measures. In T. Addison, D. Hulme, & R. Kanbur (Eds.), Poverty dynamics: Interdisciplinary perspectives (pp. 59–76). Oxford: Oxford University Press.

    Chapter  Google Scholar 

  • Fattore, M. (2016). Partially ordered sets and the measurement of multidimensional ordinal deprivation. Social Indicators Research, 128(2), 835–858.

    Article  Google Scholar 

  • Fattore, M., & Arcagni, A. (2018). A reduced posetic approach to the measurement of multidimensional ordinal deprivation. Social Indicators Research, 136(3), 1053–1070.

    Article  Google Scholar 

  • Glauben, T., Herzfeld, T., Rozelle, S., & Wang, X. (2012). Persistent poverty in rural China: Where, why, and how to escape? World Development, 40(4), 784–795.

    Article  Google Scholar 

  • Jalan, J., & Ravallion, M. (1998). Transient poverty in post reform rural China. Journal of Comparative Economics, 26(2), 338–357.

    Article  Google Scholar 

  • Jalan, J., & Ravallion, M. (2000). Is transient poverty different? Evidence for rural China. The Journal of Development Studies, 36(6), 82–99.

    Article  Google Scholar 

  • Jiang, N. P., & Zheng, W. J. (2017). The problem of multidimensional poverty returning among Chinese migrant workers. China Rural Economy, 6, 58–69.

    Google Scholar 

  • McKay, A., & Lawson, D. (2003). Assessing the extent and nature of chronic poverty in low income countries: Issues and evidence. World Development, 31(3), 425–439.

    Article  Google Scholar 

  • Ravallion, M. (1988). Expected poverty under risk-induced welfare variability. The Economic Journal, 98(393), 1171–1182.

    Article  Google Scholar 

  • Rodgers, J. R., & Rodgers, J. L. (1993). Chronic poverty in the United States. The Journal of Human Resources, 28(1), 25–54.

    Article  Google Scholar 

  • Sączewska-Piotrowska, A. (2016). Transitions into and out of near poverty in urban and rural areas in Poland. In International conference “19th applications of mathematics and statistics in economics”, Banská Štiavnica, vol 31, 2016-4

  • Wang, C. M., & Hu, Q. Z. (2008). An empirical study of China's income mobility—based on multiple indicators. Management World, 10, 30–40.

    Google Scholar 

  • Wang, C. M., & Yao, Y. (2010). An empirical study on the dynamic evolution of urban and rural poverty in China: 1990–2005. The Journal of Quantitative & Technical Economics, 27(3), 3–15.

    Google Scholar 

  • Yang, J., & Mukhopadhaya, P. (2019). Is the ADB’s conjecture on upward trend in poverty for China right? An analysis of income and multidimensional poverty in China. Social Indicators Research, 143(2), 451–477.

    Article  Google Scholar 

  • Ye, C. S., Zhao, R. W., & Sun, Y. P. (2013). The frontier dynamics of dynamic poverty research. Economic Perspectives, 4, 120–128.

    Google Scholar 

  • Zhang, Z., Yang, C. Y., & Yuan, Q. (2017a). The Identification and Mobility of “Revenue-Oriented” multidimensional poverty—A survey of rural subsamples based on CFPS survey data. Economic Theory and Business Management, 2, 98–112.

    Google Scholar 

  • Zhang, Q. H., Li, B., & Zhou, Q. (2017b). Dynamic measurement, structural decomposition and precision poverty alleviation of China's multidimensional poverty. Journal of Finance and Economics, 43(4), 31–40.

    Google Scholar 

  • Zhao, R., Sui, S., & Wu, B. (2018). Innovation of precision poverty alleviation mechanism based on dynamic poverty theory. Rural Economy, 1, 56–60.

    Google Scholar 

Download references

Acknowledgement

This research was supported by Humanities and Social Science Fund of Ministry of Education of China (20YJC790191). National Statistical Science Research Project of National Bureau of statistics of China: (2020142).

Funding

This paper is supported by Humanities and Social Science Fund of Ministry of Education of China (20YJC790191). National Statistical Science Research Project of National Bureau of statistics of China: (2020142).

Author information

Authors and Affiliations

  1. School of Mathematics and Statistics, Guangdong University of Foreign Studies, Guangzhou, China

    Di Zhou

  2. Business School, Guangdong University of Foreign Studies, Guangzhou, China

    Kuangyuan Cai

  3. School of Mathematics and Statistics, Hubei University of Science and Technology, Xianning, China

    Shaojun Zhong

Authors
  1. Di Zhou
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Kuangyuan Cai
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Shaojun Zhong
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Shaojun Zhong.

Ethics declarations

Conflict of interest

I and my co-authors don’t have any conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhou, D., Cai, K. & Zhong, S. A Statistical Measurement of Poverty Reduction Effectiveness: Using China as an Example. Soc Indic Res 153, 39–64 (2021). https://doi.org/10.1007/s11205-020-02474-w

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11205-020-02474-w

Keywords

Search

Navigation