Skip to main content

Advertisement

SpringerLink
Log in

Analysis on the Measurement and Dynamic Evolution of Multidimensional Return to Poverty in Chinese Rural Households

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

Abstract

Existing studies rarely focus on the quantitative measurement of the multi-dimensional return to poverty in Chinese rural households. Therefore, this paper assessed the dynamic evolution of multidimensional return to poverty in Chinese rural households based on the China family panel studies during 2010–2018, applied methods like artificial neural network and multi-dimensional measurement model. Here are the results: (1) Chinese rural households’ multidimensional return-to-poverty index dropped significantly from 0.0567 in 2012 to 0.0425 in 2018, mainly due to the decreased poverty returning rate. (2) Annual net income per capita was a major contributor to the decrease of multidimensional return to poverty, followed by four indicators in health dimension—adult health, out of pocket healthcare payment, health insurance, and senior and children health. (3) Chinese rural households’ multidimensional return-to-poverty index manifested great spatial heterogeneity—increasing from Eastern China, to Central China, then to Western China. In the end, this paper proposed policy suggestions on preventing poverty returning and promoting common prosperity.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Notes

  1. Xi (2021). Speech at the National Poverty Alleviation Summary and Commendation Conference. People's Daily.

  2. https://m.thepaper.cn/baijiahao_13900295.

  3. The Chinese government set the poverty line of 2300 yuan per person per year in 2010. On the basis of constant price, the poverty line was 2487 yuan in 2012; 2610 yuan in 2014; 3,000 yuan in 2016, and 3535 yuan in 2018 respectively in this paper.

  4. Eastern China: Liaoning province, Hebei province, Tianjin city, Shandong province, Jiangsu province, Shanghai city, Zhejiang province, Fujian province, and Guangdong province.

    Central China: Heilongjiang province, Jilin province, Shanxi province, Henan province, Anhui province, Jiangxi province, Hubei province, and Hunan province.

    Western China: Gansu province, Shaanxi province, Sichuan province, Chongqing city, Guizhou province, Yunnan province, and Guangxi Zhuang Autonomous Region.

References

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

    Article  Google Scholar 

  • Alkire, S., & Fang, Y. (2018). Dynamics of multidimensional poverty and uni-dimensional income poverty: An evidence of stability analysis from China. Social Indicators Research, 142(1), 25–64. https://doi.org/10.1007/s11205-018-1895-2

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Alkire, S., Oldiges, C., & Kanagaratnam, U. (2021). Examining multidimensional poverty reduction in India 2005/6–2015/16: Insights and oversights of the headcount ratio. World Development, 142, 105454.

    Article  Google Scholar 

  • Alkire, S., Roche, J., Ballon, P., Seth, S., & Foster, J. (2015). Multidimensional poverty measurement and analysis: Chapter 5 - the alkire-foster counting methodology. Social Ence Electronic Publishing, 2(3), 1–51.

    Google Scholar 

  • Alkire, S., Roche, J. M., & Vaz, A. (2017b). Changes over time in multidimensional poverty: Methodology and results for 34 countries. World Development, 94, 232–249.

    Article  Google Scholar 

  • Alvarez, S. A., Barney, J. B., & Newman, A. M. B. (2015). The poverty problem and the industrialization solution. Asia Pacific Journal of Management, 32(1), 23–37.

    Article  Google Scholar 

  • Bourguignon, F. (2003). The measurement of multidimensional poverty. The Journal of Economic Inequality, 1(1), 25–49.

    Article  Google Scholar 

  • Chaudhuri, S., Jalan, J., & Suryahadi, A. (2002). Assessing household vulnerability to poverty from cross-sectional data: A methodology and estimates from Indonesia. Discussion papers.

  • Chen, J., Rong, S., & Song, M. (2020). Poverty vulnerability and poverty causes in rural China. Social Indicators Research, 153(1), 65–91.

    Article  Google Scholar 

  • Duclos, J.-Y., Araar, A., & Giles, J. (2010). Chronic and transient poverty: Measurement and estimation, with evidence from China. Journal of Development Economics, 91(2), 266–277.

    Article  Google Scholar 

  • Ehrenpreis, D. (2006). What is poverty? Concepts and measures. International Policy Centre for Inclusive Growth.

  • Fan, H. S. (2018). Exploration on the construction of early warning mechanism for returning to poverty. Research on Socialism with Chinese Characteristics, 01, 57–63.

    Google Scholar 

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

  • Gallardo, M. (2019). Measuring vulnerability to multidimensional poverty. Social Indicators Research, 148(1), 67–103.

    Article  Google Scholar 

  • Garroway C, D. L. J. R. (2012). On the Relevance of Relative Poverty for Developing Countries. OECD Development Centre Working Paper.

  • Griggs, D., Stafford-Smith, M., Gaffney, O., Rockstrom, J., Ohman, M. C., Shyamsundar, P., ... Noble, I. (2013). Policy: Sustainable development goals for people and planet. Nature, 495, 305-307

  • Gustaisson, B., & Sai, D. (2010). Temporary and persistent poverty among ethnic minorities and the majority in rural China. Review of Income and Wealth, 55, 588–606.

    Article  Google Scholar 

  • Hagenaars, A. (1987). A Class of Poverty Indices. International Economic Review, 28(3).

  • He, H. Z., & Sheng, D. R. (2017). Study on the pattern of rural poverty return and its blocking mechanism. Modern Economic Discussion, 07, 95–102. https://doi.org/10.13891/j.cnki.mer.2017.07.013

    Article  Google Scholar 

  • He, L. D., Wang, Y. J., & Lu, C. C. (2018). Rural poverty reduction and re-poverty prevention from the perspective of public investment in human capital. Fiscal Research, 05, 15–24.

    Google Scholar 

  • Hohberg, M., Landau, K., Kneib, T., Klasen, S., & Zucchini, W. (2018). Vulnerability to poverty revisited: Flexible modeling and better predictive performance. The Journal of Economic Inequality, 16(3), 439–454.

    Article  Google Scholar 

  • Huang, R. (2022). Research on the mechanism of poverty prevention in ethnic minority areas: Based on the perspective of multidimensional return to poverty. Journal of Minzu University of China, 49.

  • Hulme, D., & Shepherd, A. (2003). Conceptualizing chronic poverty. World Development, 31(3), 403–423.

    Article  Google Scholar 

  • Ivanic, M., & Martin, W. (2018). Sectoral productivity growth and poverty reduction: National and global impacts. World Development, 109, 429–439.

    Article  Google Scholar 

  • Jiang, N. P., & Zheng, W. J. (2017). Multi-dimensional poverty measurement for Chinese rural migrant workers that return to poverty. China’s Rural Economy, 06, 58–69.

    Google Scholar 

  • Li, G., Cai, Z., Liu, J., Liu, X., Su, S., Huang, X., & Li, B. (2019). Multidimensional poverty in rural China: Indicators, spatiotemporal patterns and applications. Social Indicators Research, 144(3), 1099–1134.

    Article  Google Scholar 

  • Rogan, M. (2015). Gender and multidimensional poverty in south Africa: Applying the global multidimensional poverty index (MPI). Social Indicators Research, 126(3), 987–1006.

    Article  Google Scholar 

  • Sen, A. (1976). Poverty: An ordinal approach to measurement. Econometrica, 44(2).

  • Sen, A. (1985). Sociological approach to the measurement of poverty: A reply to professor peter townsend. Oxford Economic Papers, 37(4), 7.

    Article  Google Scholar 

  • Suppa, N. (2017). Towards a multidimensional poverty index for Germany. Empirica, 45(4), 655–683.

    Article  Google Scholar 

  • Tsui, K.-Y. (2002). Multidimensional poverty indices. Social Choice and Welfare, 19(1), 69–93.

    Article  Google Scholar 

  • UNDP. (2010). The real wealth of nations: Pathways to human development.

  • Wagle, U. R. (2012). The counting-based measurement of multidimensional poverty: The focus on economic resources, inner capabilities, and relational resources in the United States. Social Indicators Research, 115(1), 223–240.

    Article  Google Scholar 

  • Wan, G., Hu, X., & Liu, W. (2021). China’s poverty reduction miracle and relative poverty: Focusing on the roles of growth and inequality. China Economic Review, 68, 101643.

    Article  Google Scholar 

  • Wang, Y., & Wang, B. (2016). Multidimensional poverty measure and analysis: A case study from Hechi City, China. Springerplus, 5, 642.

    Article  Google Scholar 

  • Ward, P. S. (2016). Transient poverty, poverty dynamics, and vulnerability to poverty: An empirical analysis using a balanced panel from rural China. World Development, 78, 541–553.

    Article  Google Scholar 

  • Xie, J. Z., & Che, S. F. (2017). Measurement and analysis of multidimensional poverty in peasant households. Statistical Research, 09, 44–55.

    Google Scholar 

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

    Article  Google Scholar 

  • Zhang, Q. H., Li, B., & Zhou, Q. (2017). The dynamic measurement and structure decomposition of China,s multidimensional poverty and precision poverty alleviation. Journal of Finance and Economics, 07, 80–93.

    Google Scholar 

  • Zhang, X. Y., & Yao, S. J. (2020). Distribution and features of the multidimensional poverty in rural China between 2010 and 2018. Agricultural Economic Issues, 07, 80–93.

    Google Scholar 

  • Zhang, Z., Ma, C., & Wang, A. (2021). A longitudinal study of multidimensional poverty in rural China from 2010 to 2018. Economics Letters, 204, 109912.

    Article  Google Scholar 

  • Zhao, L. (2020). Tourism, institutions, and poverty alleviation: Empirical evidence from China. Journal of Travel Research, 60(7), 1543–1565. https://doi.org/10.1177/0047287520947792

    Article  Google Scholar 

  • Zhou, D., Cai, K., & Zhong, S. (2020). A statistical measurement of poverty reduction effectiveness: Using China as an example. Social Indicators Research, 153(1), 39–64.

    Article  Google Scholar 

Download references

Funding

The funding was provided by National Natural Science Foundation of China (Grant Nos. 72074053, 42001156), Shandong Youth Science and technology innovation team (Grant No. 2020RWE009).

Author information

Authors and Affiliations

  1. School of Economics and Management, Shandong Agricultural University, Tai’an, 271018, Shandong, China

    Songmao Wang

  2. Business Administration Post-doctoral Research Station, Fudan University, Shanghai, 200433, China

    Songmao Wang

  3. Department of Tourism, Fudan University, Shanghai, 200433, China

    Yingzhi Guo

  4. School of Business Administration, Nanjing University of Finance and Economics, Nanjing, 210046, Jiangsu, China

    Zhaoli He

Authors
  1. Songmao Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yingzhi Guo
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Zhaoli He
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yingzhi Guo.

Additional information

Publisher's Note

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

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, S., Guo, Y. & He, Z. Analysis on the Measurement and Dynamic Evolution of Multidimensional Return to Poverty in Chinese Rural Households. Soc Indic Res 165, 31–52 (2023). https://doi.org/10.1007/s11205-022-03000-w

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11205-022-03000-w

Keywords

Search

Navigation