The association between family socioeconomic status and urban–rural and high‐school attainment gaps: A logistic regression analysis of the China Family Panel Studies data

Abstract

Decades of research have been conducted on the factors [i.e. family socioeconomic status (SES), urbanrural divide (household registration) and high-school type] associated with higher education selection. However, few studies have disentangled the relationship between each factor and the mechanisms of inequality among these factors in higher education selection. The present study, analysing China Family Panel Studies data (N = 3043), first examined the factors that predicted higher education selection and then ascertained the interplay of family SES, household registration and high-school type. The two major findings were: (1) family SES and high-school type(key/non-key schools) were positively associated with the predicted probability of students' access to higher education and elite universities, while household registration (the urban-rural divide, hukou) was only associated with the predicted probability of students' access to higher education; and (2) either urban or rural students and either key or non-key school students from socioeconomically advantaged families had a higher probability of access to both higher Funding informationNone.

Family socioeconomic status and adolescent depression in urban and rural China: A trajectory analysis

“…Initial depression levels were lower in urban than rural adolescents, consistent with previous studies that rural adolescents were more depressed than urban adolescents in China ( Li, Chen, et al, 2016 ; Rao et al, 2019 ). China's urban-rural disparities in social and economic factors, particularly family SES, contribute to this trend, with advantaged families concentrated in cities and disadvantaged ones in rural areas ( Song & Tan, 2022 ). Rural residents have less access to social resources and opportunities than their urban counterparts ( Li, Chen, et al, 2016 ), and therefore generally have higher levels of depression.…”

Socioeconomic Drivers of Land Use and Land Cover Change in Western Ethiopia

“….X n � independent variables. A logistic regression model was used to analyze the relationship between demographic data and socioeconomic conditions [49]. In this study, the outcome variable (forest dependence) was taken from selected explanatory variables: age, sex, education, and property size were used as proxies for socioeconomic variables.…”

“…Correlations with drivers of land use/land cover dynamics become important after identifying the main socioeconomic determinants using Pearson's chi-square. Te relationship between the (dependent) variable and various socioeconomic (independent) variables was examined according to [49] binary logistic regression model, which estimates the LULC of the independent (explanatory) variable on the dependent (response) variable driving force.…”

The Urban–Rural Heterogeneous Effect of Family SES on Achievement: The Mediating Role of Culture

“…In the context of Chinese household registration system, compared with children from rural areas, urban families are more likely to possess better family SES, which is due to unequal economic development between urban and rural areas in China, and such advantages of urban families can be transformed into better achievements for urban children in both direct and indirect ways, as mentioned before. In addition, since resources and culture are key factors in the processes of converting family SES into achievement [21,[26][27][28] and there are limited educational resources and a negative culture around education for rural children, they are more likely to have lower efficiency in converting family SES into achievement than their urban counterparts. Based on the above analysis, Hypotheses 1 and 2 are proposed.…”