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Identification of rural regional poverty type based on spatial multi-criteria decision-making—taking Gansu Province, an underdeveloped area in China, as an example

Author

Listed:
  • Haojian Dou

    (Northwest Normal University)

  • Llibang Ma

    (Northwest Normal University)

  • Shichun Liu

    (Northwest Normal University)

  • Fang Fang

    (Northwest Normal University)

Abstract

The accurate identification of poverty types in rural areas is a national strategic need for poverty targeting and overall poverty alleviation. In this study, we took Gansu Province, a key area for poverty alleviation in China, as an example. With the multidimensional comprehensive measurement model of poverty, multi-criteria decision analysis method and ArcGIS spatial analysis method, we explored the poverty-reducing factors of each evaluation unit and classified the poverty type. Results: (1) The evaluation unit of 60.49% in Gansu Province is at the median level of poverty and below, and the phenomenon of extreme poverty is rare. Multidimensional poverty index presents a pattern of “high at both ends, and low in the middle” in space. (2) The proportion of highway entrances and exits, the proportion of rural water-saving irrigation area, the number of health staff in institutions per 1000 people, the number of beds in health institutions per 1,000 people, the water supply per capita water conservancy project, and the number of full-time secondary school teachers per thousand people are the main poverty factors. (3) Poverty in Gansu Province is mainly dominated by single factor and associated with dual-factor, which account for 54.32% of all evaluation units. (4) Economic poverty (income poverty) is relatively poor. It is a result of multi-dimensional poverty. This research can provide guidance and support to facilitate the precise targeting and policy implementation of poverty alleviation targets, and also provide a reference basis for the improvement of the national poverty reduction strategy and the study of poverty geography-related issues.

Suggested Citation

  • Haojian Dou & Llibang Ma & Shichun Liu & Fang Fang, 2022. "Identification of rural regional poverty type based on spatial multi-criteria decision-making—taking Gansu Province, an underdeveloped area in China, as an example," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 3439-3460, March.
    • Handle: RePEc:spr:endesu:v:24:y:2022:i:3:d:10.1007_s10668-021-01573-z
    DOI: 10.1007/s10668-021-01573-z
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    References listed on IDEAS

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    1. Judit Mendoza Aguilar & Francisco J. Ramos-Real & Alfredo J. Ramírez-Díaz, 2019. "Improving Indicators for Comparing Energy Poverty in the Canary Islands and Spain," Energies, MDPI, vol. 12(11), pages 1-15, June.
    2. Kiendrebeogo, Youssouf & Assimaidou, Kossi & Tall, Abdoulaye, 2017. "Social protection for poverty reduction in times of crisis," Journal of Policy Modeling, Elsevier, vol. 39(6), pages 1163-1183.
    3. Marchand, Robert & Genovese, Andrea & Koh, S.C. Lenny & Brennan, Alan, 2019. "Examining the relationship between energy poverty and measures of deprivation," Energy Policy, Elsevier, vol. 130(C), pages 206-217.
    4. Pasha, Atika, 2017. "Regional Perspectives on the Multidimensional Poverty Index," World Development, Elsevier, vol. 94(C), pages 268-285.
    5. Shan, Haiyan & Yang, Junliang, 2019. "Sustainability of photovoltaic poverty alleviation in China: An evolutionary game between stakeholders," Energy, Elsevier, vol. 181(C), pages 264-280.
    6. Patrick Nussbaumer & Francesco Fuso Nerini & Ijeoma Onyeji & Mark Howells, 2013. "Global Insights Based on the Multidimensional Energy Poverty Index (MEPI)," Sustainability, MDPI, vol. 5(5), pages 1-17, May.
    7. Liang, Jun-Si, 2010. "The Long-Term Effective Mechanism of Rural Poverty Alleviation in China from the Perspective of Ecological Management," Asian Agricultural Research, USA-China Science and Culture Media Corporation, vol. 2(08), pages 1-6, August.
    8. Bing Wang & Hua-Nan Li & Xiao-Chen Yuan & Zhen-Ming Sun, 2017. "Energy Poverty in China: A Dynamic Analysis Based on a Hybrid Panel Data Decision Model," Energies, MDPI, vol. 10(12), pages 1-14, November.
    9. Alkire, Sabina & Apablaza, Mauricio & Chakravarty, Satya & Yalonetzky, Gaston, 2017. "Measuring chronic multidimensional poverty," Journal of Policy Modeling, Elsevier, vol. 39(6), pages 983-1006.
    10. Yanjun Guo & Yansui Liu & Qi Wen & Yurui Li, 2014. "The Transformation of Agricultural Development towards a Sustainable Future from an Evolutionary View on the Chinese Loess Plateau: A Case Study of Fuxian County," Sustainability, MDPI, vol. 6(6), pages 1-25, June.
    11. Xiaoying Wu & Xinhua Qi & Shan Yang & Chao Ye & Biao Sun, 2019. "Research on the Intergenerational Transmission of Poverty in Rural China Based on Sustainable Livelihood Analysis Framework: A Case Study of Six Poverty-Stricken Counties," Sustainability, MDPI, vol. 11(8), pages 1-22, April.
    12. Hansen, James & Hellin, Jon & Rosenstock, Todd & Fisher, Eleanor & Cairns, Jill & Stirling, Clare & Lamanna, Christine & van Etten, Jacob & Rose, Alison & Campbell, Bruce, 2019. "Climate risk management and rural poverty reduction," Agricultural Systems, Elsevier, vol. 172(C), pages 28-46.
    13. Zhang, Yanlong & Zhou, Xiaoyu & Lei, Wei, 2017. "Social Capital and Its Contingent Value in Poverty Reduction: Evidence from Western China," World Development, Elsevier, vol. 93(C), pages 350-361.
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