Human Capital and Rural Households’ Vulnerability to Relative Poverty: Evidence from China
Drawing on three-wave panel data from China Family Panel Studies (CFPS) of 2014, 2016, and 2018, this paper measures rural households’ vulnerability to relative poverty using the three-stage feasible generalized least squares (FGLS) model. We analyze the impact of human capital on vulnerability to r...
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| Published in: | Discrete dynamics in nature and society Vol. 2022; no. 1 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
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Hindawi
2022
John Wiley & Sons, Inc Hindawi Limited |
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| Abstract | Drawing on three-wave panel data from China Family Panel Studies (CFPS) of 2014, 2016, and 2018, this paper measures rural households’ vulnerability to relative poverty using the three-stage feasible generalized least squares (FGLS) model. We analyze the impact of human capital on vulnerability to relative poverty by using the two-way fixed-effected model and panel quantile regression. Empirical results exhibited that labor force migration, health, education, and working experience all have a negative effect on vulnerability to relative poverty. Labor force migration has the greatest negative effect among the four factors. Heterogeneity analysis results exhibited that labor force migration has the biggest negative effect in the east region. Health and education have the greatest negative impact in the central region. Labor force migration, health, work experience, and education have a greater effect on nonpoor households than on poor households. |
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| AbstractList | Drawing on three-wave panel data from China Family Panel Studies (CFPS) of 2014, 2016, and 2018, this paper measures rural households’ vulnerability to relative poverty using the three-stage feasible generalized least squares (FGLS) model. We analyze the impact of human capital on vulnerability to relative poverty by using the two-way fixed-effected model and panel quantile regression. Empirical results exhibited that labor force migration, health, education, and working experience all have a negative effect on vulnerability to relative poverty. Labor force migration has the greatest negative effect among the four factors. Heterogeneity analysis results exhibited that labor force migration has the biggest negative effect in the east region. Health and education have the greatest negative impact in the central region. Labor force migration, health, work experience, and education have a greater effect on nonpoor households than on poor households. |
| Audience | Academic |
| Author | Su, Jianfeng Guo, Shurui |
| Author_xml | – sequence: 1 givenname: Jianfeng orcidid: 0000-0002-8295-6131 surname: Su fullname: Su, Jianfeng organization: School of EconomicsLiaoning UniversityShenyang 110036Chinalnu.edu.cn – sequence: 2 givenname: Shurui surname: Guo fullname: Guo, Shurui organization: Department of Ideological and Political TheoryShenyang Institute of Science and TechnologyShenyang 110167China |
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| Cites_doi | 10.1007/s11442-022-1953-1 10.1086/708195 10.1016/j.worlddev.2013.11.005 10.1162/rest_a_00127 10.1007/s11205-019-02174-0 10.1007/s11205-020-02481-x 10.1257/aer.89.2.287 10.1016/j.chieco.2021.101729 10.1257/aer.103.1.1 10.1155/2022/2815940 10.1007/s11205-020-02474-w 10.1016/j.ijer.2020.101537 10.1007/s11205-021-02744-1 10.1016/j.habitatint.2021.102402 10.1007/s11205-021-02747-y 10.1016/j.wdp.2020.100261 10.1080/13547860600591192 10.1111/cwe.12406 10.1016/j.chieco.2021.101643 10.1080/20954816.2022.2028992 10.1016/j.asieco.2015.01.001 10.1016/j.ijedudev.2006.10.005 10.1007/s12232-021-00385-x 10.1086/261725 10.2307/1912684 10.1016/j.worlddev.2021.105728 10.1007/s11366-021-09767-y 10.1007/978-981-16-9655-8_7 10.1016/j.landusepol.2021.105963 |
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| Copyright | Copyright © 2022 Jianfeng Su and Shurui Guo. COPYRIGHT 2022 John Wiley & Sons, Inc. Copyright © 2022 Jianfeng Su and Shurui Guo. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 |
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| References_xml | – volume-title: World Development Report 2000/2001: Attacking poverty year: 2001 ident: e_1_2_9_12_2 contributor: fullname: World Bank – start-page: 1 volume-title: Assessing Household Vulnerability to Poverty from Cross-Sectional Data: A Methodology and Estimates from Indonesia year: 2002 ident: e_1_2_9_29_2 contributor: fullname: Chaudhuri S. – ident: e_1_2_9_9_2 doi: 10.1007/s11442-022-1953-1 – ident: e_1_2_9_16_2 doi: 10.1086/708195 – ident: e_1_2_9_26_2 doi: 10.1016/j.worlddev.2013.11.005 – volume-title: Poverty and Famines: An Essay on Entitlement and Deprivation year: 1982 ident: e_1_2_9_17_2 contributor: fullname: Sen A. – ident: e_1_2_9_32_2 doi: 10.1162/rest_a_00127 – ident: e_1_2_9_20_2 doi: 10.1007/s11205-019-02174-0 – ident: e_1_2_9_28_2 doi: 10.1007/s11205-020-02481-x – ident: e_1_2_9_33_2 doi: 10.1257/aer.89.2.287 – ident: e_1_2_9_2_2 doi: 10.1016/j.chieco.2021.101729 – ident: e_1_2_9_34_2 doi: 10.1257/aer.103.1.1 – ident: e_1_2_9_5_2 doi: 10.1155/2022/2815940 – ident: e_1_2_9_10_2 doi: 10.1007/s11205-020-02474-w – ident: e_1_2_9_19_2 doi: 10.1016/j.ijer.2020.101537 – ident: e_1_2_9_11_2 doi: 10.1007/s11205-021-02744-1 – ident: e_1_2_9_21_2 doi: 10.1016/j.habitatint.2021.102402 – ident: e_1_2_9_1_2 doi: 10.1007/s11205-021-02747-y – ident: e_1_2_9_23_2 doi: 10.1016/j.wdp.2020.100261 – ident: e_1_2_9_31_2 doi: 10.1080/13547860600591192 – ident: e_1_2_9_3_2 doi: 10.1111/cwe.12406 – ident: e_1_2_9_4_2 doi: 10.1016/j.chieco.2021.101643 – ident: e_1_2_9_7_2 doi: 10.1080/20954816.2022.2028992 – ident: e_1_2_9_27_2 doi: 10.1016/j.asieco.2015.01.001 – ident: e_1_2_9_22_2 doi: 10.1016/j.ijedudev.2006.10.005 – ident: e_1_2_9_6_2 doi: 10.1007/s12232-021-00385-x – ident: e_1_2_9_15_2 doi: 10.1086/261725 – volume: 08 year: 2021 ident: e_1_2_9_18_2 article-title: Human capital, technology, and economic growth: a case study of Indonesia publication-title: Journal of Asian Finance, Eco-nomics and Business contributor: fullname: Bawono S. – volume: 51 start-page: 1 year: 1961 ident: e_1_2_9_14_2 article-title: Investment in human capital publication-title: The American Economic Review contributor: fullname: Schultz T. W. – ident: e_1_2_9_30_2 doi: 10.2307/1912684 – ident: e_1_2_9_25_2 doi: 10.1016/j.worlddev.2021.105728 – ident: e_1_2_9_8_2 doi: 10.1007/s11366-021-09767-y – ident: e_1_2_9_24_2 doi: 10.1007/978-981-16-9655-8_7 – ident: e_1_2_9_13_2 doi: 10.1016/j.landusepol.2021.105963 |
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| Snippet | Drawing on three-wave panel data from China Family Panel Studies (CFPS) of 2014, 2016, and 2018, this paper measures rural households’ vulnerability to... Drawing on three‐wave panel data from China Family Panel Studies (CFPS) of 2014, 2016, and 2018, this paper measures rural households’ vulnerability to... Drawing on three-wave panel data from China Family Panel Studies (CFPS) of 2014, 2016, and 2018, this paper measures rural households' vulnerability to... |
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| SubjectTerms | Analysis China Economic development Economic growth Education Empirical analysis Forced migration Heterogeneity Households Human capital Impact analysis Labor Poverty Regression models Rural areas Sustainable development |
| Title | Human Capital and Rural Households’ Vulnerability to Relative Poverty: Evidence from China |
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