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The Impact of Livelihood Risk on Farmers of Different Poverty Types: Based on the Study of Typical Areas in Sichuan Province

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  • Xuanye Zeng

    (College of Management, Sichuan Agricultural University, Chengdu 611130, China)

  • Zhuoying Fu

    (College of Management, Sichuan Agricultural University, Chengdu 611130, China)

  • Xin Deng

    (College of Economics, Sichuan Agricultural University, Chengdu 611130, China)

  • Dingde Xu

    (College of Management, Sichuan Agricultural University, Chengdu 611130, China)

Abstract

After the completion of China’s poverty alleviation task in 2020, the poverty situation will undergo major changes, and the focus of poverty alleviation work will shift to solving relative poverty. This can provide useful inspiration for the government to formulate and implement relevant policies that explore the differences in livelihood risk impacts of different types of farmers in areas where disasters and poverty are intertwined. This study used survey data of 327 households in four districts and counties in the hardest-hit areas of the Wenchuan Earthquake and Lushan Earthquake in China’s Sichuan Province in 2018. This study measured farmers’ livelihood risks from four aspects: health risks, environmental risks, financial risks, and social risks, and measured farmers’ poverty types from three aspects: absolutely poor farmers, relatively poor farmers, and non-poor farmers. It systematically analyzed the four types of livelihood risks faced by farmers and the three types of poverty they were in, and constructed a multinomial logistic regression to explore the correlation between livelihood risks and poverty types. This study is the first to compare the relatively poor type with other poverty types. The second innovation is that it uses the entropy method and multinomial logistic regression. The results showed that: (1) Among the four livelihood risks faced by farmers, the biggest was the environmental risk, the next was financial risk, the third was health risk, and the last was social risk. (2) Among the three poverty types, farmers in absolute poverty were the most populated, with non-poor farmers next, and relatively poor farmers at the bottom. (3) Farmers of different poverty types were affected by livelihood risks to different degrees. Specifically, when compared with the impacts on farmers in absolute poverty, the impacts social risks could bring to farmers in relative poverty were more severe while the impacts of health risks, environmental risks and financial were not that strong. Impacted by social risks, relatively poor farmers are more seriously impacted by public affairs and social security status. When compared with the impacts on non-poor farmers, the impacts of all these four risks on relatively poor farmers were not notable.

Suggested Citation

  • Xuanye Zeng & Zhuoying Fu & Xin Deng & Dingde Xu, 2021. "The Impact of Livelihood Risk on Farmers of Different Poverty Types: Based on the Study of Typical Areas in Sichuan Province," Agriculture, MDPI, vol. 11(8), pages 1-18, August.
    • Handle: RePEc:gam:jagris:v:11:y:2021:i:8:p:768-:d:612961
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    2. Xueling Bao & Fengwan Zhang & Xin Deng & Dingde Xu, 2021. "Can Trust Motivate Farmers to Purchase Natural Disaster Insurance? Evidence from Earthquake-Stricken Areas of Sichuan, China," Agriculture, MDPI, vol. 11(8), pages 1-15, August.
    3. Jun Fan & Sichuan Luo & Attachai Jintrawet & Xingming Fan & Ruijia Guo, 2022. "A Framework of Development-Oriented Poverty Alleviation Implementation Projects in Rural China: The Case of Jinggu County," Agriculture, MDPI, vol. 12(9), pages 1-19, September.
    4. Jiquan Peng & Juan Chen & Liguo Zhang, 2022. "Gender-Differentiated Poverty among Migrant Workers: Aggregation and Decomposition Analysis of the Chinese Case for the Years 2012–2018," Agriculture, MDPI, vol. 12(5), pages 1-23, May.
    5. Wei Wang & Chongmei Zhang & Yan Guo & Dingde Xu, 2021. "Impact of Environmental and Health Risks on Rural Households’ Sustainable Livelihoods: Evidence from China," IJERPH, MDPI, vol. 18(20), pages 1-15, October.
    6. Xiaoyue Li & Bin Yu & Jiaxing Cui & Yuanyuan Zhu, 2022. "Building a New Framework for Evaluating the Livability of Living Space on the Basis of the Daily Activities of Rural Residents: A Case Study of Jianghan Plain," IJERPH, MDPI, vol. 19(17), pages 1-14, August.
    7. Fengwan Zhang & Xueling Bao & Xin Deng & Wei Wang & Jiahao Song & Dingde Xu, 2022. "Does Trust Help to Improve Residents’ Perceptions of the Efficacy of Disaster Preparedness? Evidence from Wenchuan and Lushan Earthquakes in Sichuan Province, China," IJERPH, MDPI, vol. 19(8), pages 1-15, April.
    8. Fang Su & Nini Song & Nannan Ma & Altynbek Sultanaliev & Jing Ma & Bing Xue & Shah Fahad, 2021. "An Assessment of Poverty Alleviation Measures and Sustainable Livelihood Capability of Farm Households in Rural China: A Sustainable Livelihood Approach," Agriculture, MDPI, vol. 11(12), pages 1-16, December.
    9. Jie Song & Yaping Cai & Yahong Wang & Salim Khan, 2022. "Health Risk, Income Effect, and the Stability of Farmers’ Poverty Alleviation in Deep Poverty Areas: A Case Study of S-County in Qinba Mountain Area," IJERPH, MDPI, vol. 19(23), pages 1-15, November.

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