중국 아동의 다차원적 빈곤 추이 분석 — 중국가족패널조사 2012-2018년 데이터를 활용하여 —

초록

This study examines the trends in multidimensional child poverty in China from 2012 to 2018 using data from the China Family Panel Studies(CFPS). To determine multidimensional poverty, five dimensions and ten indicators were established and the Alkire-Foster (AF) method was used in analyzing. The study categorizes Chinese children into urban children, rural children, and left-behind children. The results indicate that multidimensional poverty has improved across all child groups, with left-behind children being the most exposed to multidimensional poverty, followed by rural children and urban children. Among the indicators, the greatest reductions in deprivation were observed in "health insurance" and "internet access." Logistic regression analysis identified "left-behind child status" and "non-apartment housing conditions" as the most significant factors influencing multidimensional child poverty.

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