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Examining Poverty Reduction of Poverty-Stricken Farmer Households under Different Development Goals: A Multiobjective Spatio-Temporal Evolution Analysis Method

Author

Listed:
  • Yanhui Wang

    (Key Laboratory of 3-Dimensional Information Acquisition and Application, Ministry of Education, Capital Normal University, Beijing 100048, China
    These authors contributed equally to this work.)

  • Shoujie Jia

    (Key Laboratory of 3-Dimensional Information Acquisition and Application, Ministry of Education, Capital Normal University, Beijing 100048, China)

  • Wenping Qi

    (Key Laboratory of 3-Dimensional Information Acquisition and Application, Ministry of Education, Capital Normal University, Beijing 100048, China
    China Siwei Surveying and Mapping Technology Co., Ltd., Beijing 100086, China)

  • Chong Huang

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    These authors contributed equally to this work.)

Abstract

Accurately identifying the degree of poverty and poverty-causing factors of poverty-stricken farmer households is the first key step to alleviating absolute and relative poverty. This paper introduces a multiobjective spatio-temporal evolution analysis method to examine poverty reduction of poverty-stricken farmer households under different development goals. A G-TOPSIS model was constructed to evaluate poverty-stricken households under short-, medium-, and long-term development goals. Then, GIS analysis methods were employed to reveal the spatio-temporal distribution of poverty-stricken households, and poverty causing factors were detected using the obstacle degree model. Taking Fugong County in Yunnan Province, China, as an example, the empirical results show that: (1) Great progress has been made in poverty reduction during the study period; however, some farmer households which have escaped absolute poverty are still in relative poverty and are still highly vulnerable. (2) Farmers with higher achievement rates under three different development goals are mainly distributed in the central and northern regions of study area, with a pattern of high–high agglomeration under the medium and low development goals, while low–low agglomeration mostly appears in central-southern regions. (3) Under the short-term development goals, the main poverty-causing factors are per capita net income, safe housing, sanitary toilets, years of education of labor force and family health. Under the medium- and long-term goals, per capita net income, labor force education and safe housing are the development limitations. (4) Infrastructure and public service are crucial to ending absolute poverty, and the endogenous force of regional development should be applied to alleviate the relative poverty through sustainable development industries and high-quality national education.

Suggested Citation

  • Yanhui Wang & Shoujie Jia & Wenping Qi & Chong Huang, 2022. "Examining Poverty Reduction of Poverty-Stricken Farmer Households under Different Development Goals: A Multiobjective Spatio-Temporal Evolution Analysis Method," IJERPH, MDPI, vol. 19(19), pages 1-21, October.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:19:p:12686-:d:933085
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    References listed on IDEAS

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    1. Xuanzhi Liu & Fusheng Zeng, 2022. "Poverty Reduction in China: Does the Agricultural Products Circulation Infrastructure Matter in Rural and Urban Areas?," Agriculture, MDPI, vol. 12(8), pages 1-16, August.
    2. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7-8), pages 476-487, August.
    3. James Foster & Joel Greer & Erik Thorbecke, 2010. "The Foster–Greer–Thorbecke (FGT) poverty measures: 25 years later," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 8(4), pages 491-524, December.
    4. Chakravarty, Satya R. & Deutsch, Joseph & Silber, Jacques, 2008. "On the Watts Multidimensional Poverty Index and its Decomposition," World Development, Elsevier, vol. 36(6), pages 1067-1077, June.
    5. Jisun Kim & Seunghyun Yoo, 2021. "Perceived Health Problems of Young Single-Person Households in Housing Poverty Living in Seoul, South Korea: A Qualitative Study," IJERPH, MDPI, vol. 18(3), pages 1-16, January.
    6. Yingya Yang & Liangliang Zhou & Chongmei Zhang & Xin Luo & Yihan Luo & Wei Wang, 2022. "Public Health Services, Health Human Capital, and Relative Poverty of Rural Families," IJERPH, MDPI, vol. 19(17), pages 1-14, September.
    7. Apostolos Arsenopoulos & Vangelis Marinakis & Konstantinos Koasidis & Andriana Stavrakaki & John Psarras, 2020. "Assessing Resilience to Energy Poverty in Europe through a Multi-Criteria Analysis Framework," Sustainability, MDPI, vol. 12(12), pages 1-22, June.
    8. Gianni Betti & Francesca Gagliardi & Achille Lemmi & Vijay Verma, 2015. "Comparative measures of multidimensional deprivation in the European Union," Empirical Economics, Springer, vol. 49(3), pages 1071-1100, November.
    9. Yanhui Wang & Yefeng Chen, 2017. "Using VPI to Measure Poverty-Stricken Villages in China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(3), pages 833-857, September.
    10. Yanhui Wang & Leyi Qian, 2017. "A PPI-MVM Model for Identifying Poverty-Stricken Villages: A Case Study from Qianjiang District in Chongqing, China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 130(2), pages 497-522, January.
    11. Junqian Wu & Xiaoqian Liu & Jianqing Ruan & Xiulin Qi & Chang’an Wang & Dan Fan, 2021. "Space Power in Inclusive Development: Industrial Clusters and Rural Anti-Poverty," IJERPH, MDPI, vol. 18(20), pages 1-13, October.
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    1. Hui Xiao & Xian Liang & Shu Xing & Longjunjiang Huang & Fangting Xie, 2023. "Does Land Lease Affect the Multidimensional Poverty Alleviation? The Evidence from Jiangxi, China," Land, MDPI, vol. 12(5), pages 1-20, April.
    2. Xianping Zhang & Lu Yu & Xiang Xu, 2023. "Study on the Spatial Distribution Characteristics and Poverty Inducements of Poverty-Stricken Villages in Henan Province," Land, MDPI, vol. 12(5), pages 1-16, April.

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