A geographic identification of multidimensional poverty in rural China under the framework of sustainable livelihoods analysis

By Yanhua Liu, Yong Xu. 2016

215 citations recorded by the source corpus.

Abstract Developing methods of measuring multidimensional poverty and improving the accuracy of poverty identification have been hot topics in international poverty research for decades. They are also key issues for improving the quality and effectiveness of rural poverty reduction programs in China. So far, selection and integration of poverty indicators remains the main difficult for measurement of multidimensional poverty. Guided by the sustainable livelihoods framework developed in the UK by the Department for International Development (DFID), an index system and an integration method for geographical identification of multidimensional poverty were established, and they were further used to carry out a county-level identification of poverty in rural China. Additionally, comparisons were made of the identification results with counties having single-dimension income poverty in rural areas and poor counties designated by the Chinese central government. The results showed that a total of 655 counties, with 141 million rural residents, were identified as multidimensionally poor. They are concentrated and conjointly distributed geographically, and evil natural conditions are their common features. In comparison to the income poor and the designated poor counties, the multidimensionally poor counties were not only worse in single-dimensional and composite scores, but also having multiple disadvantages and deprivations. By identifying the disadvantage and deprived dimensions, the measurement of multidimensional poverty should be very helpful for each county to work out and implement antipoverty programs accordingly, and it would make contribution to improve the sustainability of poverty reduction. Hopefully, this research may also shed light on multidimensional poverty measurement for other developing countries.

Subfields: Safety Research, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/6cb64d33ac0b7d64cc7ba25f9541cb3ca2b176b9

How researchers see this paper

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In Safety Research

1. Yan-sui Liu
2. Yang Zhou
3. Yurui Li
4. Yuanzhi Guo
5. Wenxiang Wu

In Sociology and Political Science

1. Yan-sui Liu
2. Yang Zhou
3. Yuanzhi Guo
4. Yurui Li
5. Wenxiang Wu
6. Jilai Liu
7. Hein de Haas

Citations in the corpus

• Targeted poverty alleviation and land policy innovation: Some practice and policy implications from China (2018, background): “…2016), multi-dimensional poverty measurement (Wang and Alkire, 2009; Yu, 2013; Alkire and Santos, 2014; Alkire and Seth, 2015; Alkire et al., 2015; Liu and Xu, 2016), eco-environment protection and poverty alleviation (Ferraro and Hanauer, 2014; Agrawal,…”
• China’s poverty alleviation over the last 40 years: successes and challenges (2019, background): “measurement, including the lack of access to education, medical care, housing and other social deprivation (Bossert et al. 2013; Alkire and Santos 2014; Fan et al. 2015; Liu and Xu 2016; Liu et al. 2017).”
• Spatio-temporal patterns of rural poverty in China and targeted poverty alleviation strategies (2017, background): “…to multidimensional characteristics including income, education, health, nutrition, resources, environment and location (Alkire and Foster, 2011; Liu and Xu, 2016; Ferreira and Lugo, 2013; Alkire and Sumner, 2013; Alkire and Seth, 2015; Bader et al., 2016; Feeny and McDonald, 2016).”