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Layoffs and Urban Poverty in the State-Owned Enterprise Communities in Shaanxi Province, China

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  • Zhiming Cheng

Abstract

This paper applies a mixed methods approach that combines qualitative and quantitative methods to examine urban poverty in China’s state-owned enterprise communities where laid-off workers concentrate. A sequential explanatory model using interviews, Participatory Poverty Assessments and a community household survey on textile and military industries in Shaanxi Province of north-western China shows that low-income households suffered multidimensional disadvantages. Qualitative techniques have helped to reveal the hidden aspects of poverty while statistical tools have captured holistic information on the communities. These approaches together (Q-squared) consider both the outsiders’ and insiders’ views on the laid-off poor and benefit the making of effective anti-poverty policies. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Zhiming Cheng, 2014. "Layoffs and Urban Poverty in the State-Owned Enterprise Communities in Shaanxi Province, China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 116(1), pages 199-233, March.
    • Handle: RePEc:spr:soinre:v:116:y:2014:i:1:p:199-233
    DOI: 10.1007/s11205-013-0278-y
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    4. Cheng, Zhiming, 2022. "Communist Party branch and labour rights: Evidence from Chinese entrepreneurs," China Economic Review, Elsevier, vol. 71(C).
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    6. Zhiming Cheng, 2014. "The Effects of Employee Involvement and Participation on Subjective Wellbeing: Evidence from Urban China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 118(2), pages 457-483, September.
    7. Saeed Solaymani & Negin Vaghefi & Fatimah Kari, 2019. "The Multidimensional Poverty Measure among Malaysian Employee Provident Fund (EPF) Retirees," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 14(5), pages 1353-1371, November.

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