How to restore the livelihood resilience of the rural vulnerable? Evidence from 1,356 households in rural China.
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| Title: | How to restore the livelihood resilience of the rural vulnerable? Evidence from 1,356 households in rural China. |
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| Authors: | Cheng, Xin1,2 (AUTHOR) cxjournal@163.com, Yu, Ziyi1 (AUTHOR) yuzy47@163.com, Gao, Jingyue1 (AUTHOR) gziyii@163.com, Liu, Yanting1 (AUTHOR) lyt-cug@cug.edu.cn, Dai, Yan1 (AUTHOR) daiy0119@163.com, Chen, Jia1 (AUTHOR) chenj_cug@163.com, Liu, Guangjie1 (AUTHOR) liugj_cug@163.com, Xie, Zhiju3 (AUTHOR) zjxie@gzhu.edu.cn |
| Source: | Environment, Development & Sustainability. Feb2026, Vol. 28 Issue 2, p2865-2892. 28p. |
| Subject Terms: | *Poverty, *Rurality, *Government policy, *Poverty reduction, *Human ecology, *Social capital, Population of China |
| Geographic Terms: | China |
| Abstract: | Effectively identifying and restoring the livelihood resilience of rural vulnerable populations are essential for consolidating poverty alleviation achievements. Previous studies have focused on low-income populations and have classified assistance for monitoring rural vulnerability. However, little research has defined the rural vulnerable and their key influencing factors from a multi-dimensional perspective. This paper constructs an indicator system for monitoring the return to poverty from a multi-dimensional perspective, based on survey data from rural households in poverty-stricken areas in 2005 and 2015. The dual cut-off method is used to identify the rural vulnerable and their key influencing factors from a multi-dimensional perspective. The results show that: (1) The incidence of multi-dimensional poverty has significantly decreased from 2005 to 2015; However, a vulnerable group still exists in rural China in 2015, and types of multi-dimensional poverty vary among regions. (2) Geographical environment and social resources are the primary influencing factors of rural vulnerability, followed by living standards. Income remains an important influencing factor of severe multi-dimensional poverty. (3) To restore the livelihood resilience of the rural vulnerable, targeted policies should be implemented based on influencing factors such as geographical environment and social resources. This study has significant reference value for policy implementation aimed at restoring the livelihood resilience of the rural vulnerable. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| Header | DbId: enr DbLabel: Energy & Power Source An: 192482105 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: How to restore the livelihood resilience of the rural vulnerable? Evidence from 1,356 households in rural China. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Cheng%2C+Xin%22">Cheng, Xin</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> cxjournal@163.com</i><br /><searchLink fieldCode="AR" term="%22Yu%2C+Ziyi%22">Yu, Ziyi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> yuzy47@163.com</i><br /><searchLink fieldCode="AR" term="%22Gao%2C+Jingyue%22">Gao, Jingyue</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> gziyii@163.com</i><br /><searchLink fieldCode="AR" term="%22Liu%2C+Yanting%22">Liu, Yanting</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> lyt-cug@cug.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Dai%2C+Yan%22">Dai, Yan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> daiy0119@163.com</i><br /><searchLink fieldCode="AR" term="%22Chen%2C+Jia%22">Chen, Jia</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> chenj_cug@163.com</i><br /><searchLink fieldCode="AR" term="%22Liu%2C+Guangjie%22">Liu, Guangjie</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> liugj_cug@163.com</i><br /><searchLink fieldCode="AR" term="%22Xie%2C+Zhiju%22">Xie, Zhiju</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> zjxie@gzhu.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Environment%2C+Development+%26+Sustainability%22">Environment, Development & Sustainability</searchLink>. Feb2026, Vol. 28 Issue 2, p2865-2892. 28p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Poverty%22">Poverty</searchLink><br />*<searchLink fieldCode="DE" term="%22Rurality%22">Rurality</searchLink><br />*<searchLink fieldCode="DE" term="%22Government+policy%22">Government policy</searchLink><br />*<searchLink fieldCode="DE" term="%22Poverty+reduction%22">Poverty reduction</searchLink><br />*<searchLink fieldCode="DE" term="%22Human+ecology%22">Human ecology</searchLink><br />*<searchLink fieldCode="DE" term="%22Social+capital%22">Social capital</searchLink><br /><searchLink fieldCode="DE" term="%22Population+of+China%22">Population of China</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Effectively identifying and restoring the livelihood resilience of rural vulnerable populations are essential for consolidating poverty alleviation achievements. Previous studies have focused on low-income populations and have classified assistance for monitoring rural vulnerability. However, little research has defined the rural vulnerable and their key influencing factors from a multi-dimensional perspective. This paper constructs an indicator system for monitoring the return to poverty from a multi-dimensional perspective, based on survey data from rural households in poverty-stricken areas in 2005 and 2015. The dual cut-off method is used to identify the rural vulnerable and their key influencing factors from a multi-dimensional perspective. The results show that: (1) The incidence of multi-dimensional poverty has significantly decreased from 2005 to 2015; However, a vulnerable group still exists in rural China in 2015, and types of multi-dimensional poverty vary among regions. (2) Geographical environment and social resources are the primary influencing factors of rural vulnerability, followed by living standards. Income remains an important influencing factor of severe multi-dimensional poverty. (3) To restore the livelihood resilience of the rural vulnerable, targeted policies should be implemented based on influencing factors such as geographical environment and social resources. This study has significant reference value for policy implementation aimed at restoring the livelihood resilience of the rural vulnerable. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=192482105 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10668-024-05073-8 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 28 StartPage: 2865 Subjects: – SubjectFull: Poverty Type: general – SubjectFull: Rurality Type: general – SubjectFull: Government policy Type: general – SubjectFull: Poverty reduction Type: general – SubjectFull: Human ecology Type: general – SubjectFull: Social capital Type: general – SubjectFull: Population of China Type: general – SubjectFull: China Type: general Titles: – TitleFull: How to restore the livelihood resilience of the rural vulnerable? Evidence from 1,356 households in rural China. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Cheng, Xin – PersonEntity: Name: NameFull: Yu, Ziyi – PersonEntity: Name: NameFull: Gao, Jingyue – PersonEntity: Name: NameFull: Liu, Yanting – PersonEntity: Name: NameFull: Dai, Yan – PersonEntity: Name: NameFull: Chen, Jia – PersonEntity: Name: NameFull: Liu, Guangjie – PersonEntity: Name: NameFull: Xie, Zhiju IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 1387585X Numbering: – Type: volume Value: 28 – Type: issue Value: 2 Titles: – TitleFull: Environment, Development & Sustainability Type: main |
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