Journal of Geographical Sciences ›› 2022, Vol. 32 ›› Issue (7): 1383-1404.doi: 10.1007/s11442-022-2002-9

• Special Issue: Urban and Rural Governance Toward Sustainable Development Goals • Previous Articles     Next Articles

Differences and dynamics of multidimensional poverty in rural China from multiple perspectives analysis

WANG Bingbing1,2(), LUO Qing3, CHEN Guangping1,2, ZHANG Zhe1,4, JIN Pingbin1,2,*()   

  1. 1. School of Earth Sciences, Zhejiang University, Hangzhou 310013, China
    2. Institute for Geography & Spatial Information, Zhejiang University, Hangzhou 310013, China
    3. College of Resources and Environment, Henan University of Economics and Law, Zhengzhou 450046, China
    4. Zhejiang Provincial Key Laboratory of Geographic Information Science, Hangzhou 310013, China
  • Received:2022-01-07 Accepted:2022-05-17 Online:2022-07-25 Published:2022-09-25
  • Contact: JIN Pingbin;
  • About author:Wang Bingbing (1995-), PhD, specialized in rural vitalization and poverty alleviation. E-mail:
  • Supported by:
    National Natural Science Foundation of China(41771141);Program of Philosophy and Social Science of Henan Province(2021BJJ002)


Absolute poverty was completely eliminated in China in 2020. However, poverty measured by income does not fully reflect the actual situation. This paper analyses multidimensional poverty and its dynamics in rural China from perspectives of region, terrain, and geographical location during 2010-2018. We use the Chinese Family Panel Survey data, adopt the Alkire-Foster method and improve the multidimensional poverty index (MPI), calculating and comparing multidimensional poverty and its dynamics among 3009 rural households. In addition, the contribution of the indicator to multidimensional poverty is decomposed. The results indicate that multidimensional poverty has obvious regional differences, topographical differences, and geographical differences. Moreover, the targeted poverty alleviation policy has a significant impact on multidimensional poverty eradication, and the rate of decline of the MPI during 2016-2018 is significantly greater than that of 2010-2014. Education contributes more than 50% to the MPI. In general, the proportion of households with persistent multidimensional poverty is higher than temporary multidimensional poverty, and temporary multidimensional poverty is higher than no multidimensional poverty. These results obtained from a large scale, long time and multiple perspectives could offer new insights for the government to further consolidate the results of poverty alleviation while offering China’s experience to other developing countries.

Key words: multidimensional poverty, dynamics, regional differences, geographical location differences, topographical differences, rural China