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LUO Wei-qiao, WEN Hui, HUANG Wan-ting, ZHU Li-jun, LIN Ting-ting, WANG Cheng-chao, XU Dan. Multidimensional Poverty Measurement of Migrant Workers in Urban Areas and Its Influencing Factors Analysis-A Case Study of Foshan City, Guangdong Province[J]. TAIWAN AGRICULTURAL RESEARCH, 2024, 46(6): 51-58. DOI: 10.16006/j.cnki.twnt.2024.06.007
Citation: LUO Wei-qiao, WEN Hui, HUANG Wan-ting, ZHU Li-jun, LIN Ting-ting, WANG Cheng-chao, XU Dan. Multidimensional Poverty Measurement of Migrant Workers in Urban Areas and Its Influencing Factors Analysis-A Case Study of Foshan City, Guangdong Province[J]. TAIWAN AGRICULTURAL RESEARCH, 2024, 46(6): 51-58. DOI: 10.16006/j.cnki.twnt.2024.06.007

Multidimensional Poverty Measurement of Migrant Workers in Urban Areas and Its Influencing Factors AnalysisA Case Study of Foshan City, Guangdong Province

  • Objective/Meaning After the complete eradication of absolute poverty and the achievement of a moderately prosperous society, a research framework on the impact mechanism of multidimensional poverty of migrant workers was proposed, in order to provide reference for the relative poverty governance of migrant workers, and promote the construction of new urbanization and common prosperity in China.
    Methods/Procedures Based on the data of 300 questionnaires of migrant workers in Foshan City, Guangdong Province, the Alkire-Foster (A-F) method and Binary Logistic Regression Model were used to study he multidimensional poverty characteristics of migrant workers and the factors influencing them.
    Results/Conclusions (1) When k=0.33, the multidimensional poverty incidence of migrant workers reached 81%, indicating a high poverty rate; (2) The dimensions such as education and skills, housing conditions, and income and assets contributed the most to poverty; (3) The factors such as vocational and technical level, work and residence location, family structure, and social capital were the main causes of multidimensional poverty among the rural migrant workers.
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