Socius: Sociological Research for a Dynamic World最新文献

Aggregate figures unequivocally depict an increase in anti-Asian sentiment in the United States and other Western countries since the start of the COVID-19 pandemic, but there is limited understanding of the contexts under which Asians encounter discrimination. The authors examine how coethnic concentration shapes Asians' experiences of discrimination across U.S. counties during COVID-19 and also assess whether county-level context (e.g., COVID-19 infection rates, unemployment rates) could help explain this relationship. The authors analyze the Understanding Coronavirus in America tracking survey, a nationally representative panel of American households, along with county-level contextual data. The authors find an n-shaped relationship between coethnic concentration and Asians' perceived discrimination. This relationship is explained largely by county-level COVID-19 infection rates. Together, the context of medium Asian concentration and high COVID-19 cases created a particularly hostile environment for Asians during COVID-19.

This article provides a comprehensive analysis of the increase in gender inequality in paid work during the pandemic to unpack the relative relevance of labor market and work-family conflict processes. Using panel data from the United States Current Population Survey, we examine four mechanisms in an integrated analysis that explicitly includes single-parent households and assesses the moderating role of women's economic position relative to their partners. The results indicate that increases in gender inequality during the pandemic were heavily concentrated in households with children but also partly connected to gender differences in prepandemic labor market positions and to the higher prevalence of women in lower earner position relative to their partners. Single parents were more negatively impacted than partnered parents, but the disproportionate concentration of this impact on women does not contribute much to increases in overall gender inequality due to the relatively smaller size of this group.

Globally, restrictions implemented to limit the spread of COVID-19 have highlighted deeply rooted social divisions, raising concerns about differential impacts on members of different groups. Inequalities among households of different castes are ubiquitous in certain regions of India. Drawing on a novel data set of 8,564 households in Uttar Pradesh, the authors use radar plots to examine differences between castes in rates of activity for several typical behaviors before, during, and upon lifting strict lockdown restrictions. The visualization reveals that members of all castes experienced comparable reductions in activity rates during lockdown and recovery rates following it. Nonetheless, members of less privileged castes procure water outside the household more often than their more privileged peers, highlighting an avenue of improvement for future public health efforts.

Although research provides causal evidence on the effects of COVID-19 lockdown measures on trust, causal effects of infection risks are missing. To contribute to increasing research on the societal consequences of the COVID-19 pandemic, we estimate whether high incidence rates net of lockdown measures induce causal changes in social trust. We use representative household panel data from Germany and employ a difference-in-difference design. Although social trust increased during the first phase of the pandemic, the difference-in-difference analysis reveals that high incidences have a negative effect on social trust. We show that females drive this effect. The negative effect is especially large among highly educated women and women with poor pre-COVID-19 health. Overall, our results suggest that increasing incidences signal noncompliance of unknown others. Consequently, the overall positive trend might reverse in the medium and long run, leading to declines in social cohesion over the course of the pandemic.

Using primary data from the Assessing the Social Consequences of COVID-19 study, the authors examined how the pandemic affected the stress levels of women with and without coresiding minor children (mothers vs. nonmothers), paying special attention to the moderating role of employment status. The ordinary least squares regression results show that following the pandemic outbreak, among full-time working women, mothers reported smaller stress increases than nonmothers. In contrast, among part-time and nonemployed women, mothers and nonmothers experienced similar stress increases. Also, full-time working mothers reported smaller stress increases than women with most other mothering and employment statuses. Changes in women's employment status, following pandemic onset, had limited impacts on the patterns of stress change. This study contributes to research on parenting and health by showing that during times of crisis, full-time employment may be protective of mothers' mental health but may not buffer the mental health deterioration of women not raising children.