Favoritism Toward Foreign and Domestic Brands: A Comparison of Different Theoretical Explanations

Five theoretical approaches can predict favoritism toward domestic and foreign brands. This article applies a contrastive perspective to examine social identity, personal identity, cultural identity, system justification, and categorical cognition theories and their attendant constructs. The authors propose a set of main-effects hypotheses as well as hypotheses related to both product and country moderation effects on attitudes toward and loyalty to domestic and foreign brands. They test the hypotheses on a sample of Chinese consumers with respect to salient brands from 12 product categories. The results indicate that three of the theoretical approaches examined can explain only one side of favoritism—most commonly favoritism toward domestic brands—but not favoritism toward both domestic and foreign brands. Consumer xenocentrism, a concept rooted in system justification theory, seems to provide more consistent predictions for both domestic- and foreign-brand bias

Fertility trajectories and later-life depression among parents in England

We examine pathways between indicators of fertility tempo/quantum and depressive symptoms among parents aged 55+ with at least two children, using three waves of the English Longitudinal Study of Ageing. Using standard regression approaches and path analysis within the structural equation framework, we also investigate whether fertility trajectories mediated the association between childhood disadvantage and later-life depression. Results provide limited support for direct influences of fertility trajectories on depression, but indicate indirect linkages for both women and men. Associations are mediated by partnership history, social support, wealth, later-life smoking, and functional limitation. Associations between childhood disadvantage and later-life depression are partially mediated by fertility stressors. Results confirm the influence of life course experiences on depression at older ages and demonstrate the interlinked role of family and other life course pathways on later-life well-being

A Bad Job of Doing Good: Does Corporate Transparency on a Country and Company Level Moderate Corporate Social Responsibility Effectiveness?

Numerous studies argue that corporate social responsibility (CSR) helps companies build strong and positive relationships with consumers. However, it is not well understood why certain companies are more effective in their CSR activities than others. Some studies have attributed this difference to the country setting, but results are inconclusive. Building on signaling theory, this study explores corporate transparency as a boundary condition of the effects of CSR activities on the consumer–brand relationship. Three experiments and one large survey across three countries examine how a lack of corporate transparency undermines firms’ CSR efforts. Importantly, the authors theorize that country environments differ in terms of transparency, which is then reflected in different levels of corporate transparency. Different country levels of transparency help explain the discrepancies of CSR effectiveness for increasing brand attachment and building consumer behavior. Finally, the authors tie the diminishing effect of CSR in the case of low corporate transparency to an increase in consumer skepticism

Small Area Estimation of Latent Economic Well-being

© The Author(s) 2019. Small area estimation (SAE) plays a crucial role in the social sciences due to the growing need for reliable and accurate estimates for small domains. In the study of well-being, for example, policy makers need detailed information about the geographical distribution of a range of social indicators. We investigate data dimensionality reduction using factor analysis models and implement SAE on the factor scores under the empirical best linear unbiased prediction approach. We contrast this approach with the standard approach of providing a dashboard of indicators or a weighted average of indicators at the local level. We demonstrate the approach in a simulation study and a real data application based on the European Union Statistics for Income and Living Conditions for the municipalities of Tuscany