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Rural Poverty Identification and Comprehensive Poverty Assessment Based on Quality-of-Life: The Case of Gansu Province (China)

Author

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  • Libang Ma

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730000, China)

  • Xinglong Che

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730000, China)

  • Junhui Zhang

    (College of Geography and Enrironment, Baoji University of Arts and Sciences, Baoji 721000, China)

  • Fang Fang

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730000, China)

  • Meimei Chen

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730000, China)

Abstract

Rural poverty has received extensive attention worldwide. Eliminating poverty and achieving common prosperity are the major tasks for China to build a well-off society in an all-round way. Based on the evaluation results of quality of rural life (QRL) and relative poverty index (RPI), this paper identifies and classifies the poor objects using importance–Performance analysis (IPA) method and poverty degree model. The results were as following: (1) QRL has obvious regional differences, and its value gradually decreases from west to east, which is opposite to the spatial distribution pattern of RPI. In areas with high QRL value, the RPI is lower. (2) Fifty counties and districts are clustered in the second quadrant of IPA quadrant map, i.e., Low QRL-High RPI, and the lower quality-of-life corresponds to the higher degree of relative poverty. (3) The coincidence between the poverty-stricken counties and the poverty-stricken counties of the country identified as 84.48% by IPA method, which indicates that the accuracy of poverty delineation based on income is high. (4) Gansu Province is dominated by highly impoverished areas, accounting for 60% of the total number of impoverished counties. The results of comprehensive poverty classification are in line with the actual situation of impoverished counties. In counties with higher CPL, the poverty level is deeper. It is more difficult to get rid of poverty. This study can provide theoretical basis and decision-making reference for the formulation and implementation of Poverty Alleviation Policies in the late stage of underdeveloped areas in western China.

Suggested Citation

  • Libang Ma & Xinglong Che & Junhui Zhang & Fang Fang & Meimei Chen, 2019. "Rural Poverty Identification and Comprehensive Poverty Assessment Based on Quality-of-Life: The Case of Gansu Province (China)," Sustainability, MDPI, vol. 11(17), pages 1-18, August.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:17:p:4547-:d:259711
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    2. Runqiao Zhang & Yawen He & Wenkai Cui & Ziwen Yang & Jingyu Ma & Haonan Xu & Duxian Feng, 2022. "Poverty-Returning Risk Monitoring and Analysis of the Registered Poor Households Based on BP Neural Network and Natural Breaks: A Case Study of Yunyang District, Hubei Province," Sustainability, MDPI, vol. 14(9), pages 1-18, April.
    3. Rui Wang & Huasong Luo & Yong Chen & Dashuai Gao & Hang Liu & Huabin Bian & Jingjing Chen, 2023. "Assessing the Stability of Poverty Alleviation from a Household Economic Perspectives," Sustainability, MDPI, vol. 15(15), pages 1-20, August.

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