The feminization of care migration in transnational contexts has received a great deal of attention. Scholars, however, have been slow to investigate a similar trend in intranational contexts. This paper expands existing research on global care chains by examining the gendered emotional labor of migrant domestic workers pertaining to China's intranational care chains. While the former often foregrounds "racial or ethnic discounting," the latter is characterized by "citizenly discounting" whereby migrant domestic workers are subject to an overarching system of alienation, subordination, and exploitation owning to their secondclass rural hùkŏu (household registration) status. Drawing on a participant-observation study of nannies, this article highlights how the intersection of gender and rural-urban citizenship is the key to grasping China's migrant domestic workers' experiences of extensive alienation at the nexus of work, family, and wider society. By delving into a particular set of political, economic, and cultural forces in the Chinese context, the article makes a distinctive contribution to a more nuanced and context-sensitive understanding of the interface of gender, emotional labor, and care migration.
This paper uses the perspective of “state-led neoliberal modernization” to explore the collusion of the state and the market in the construction of scientific motherhood and its effect on rural nannies in China. It claims that the state and the market work together to shape rural nannies’ modern subjectivity in the neoliberal economy through the commercial training programme of scientific motherhood. Based on a case study in Shanghai, this paper argues that the training for scientific motherhood attempts to transform rural women into modern care workers through two mechanisms: reconstructing recognition and mobilizing emotion. Rather than passively receiving the training, nannies use their agency to adjust the knowledge and practice of scientific motherhood to suit their complicated working situation. Their strategies include deploying scientific knowledge flexibly and instrumentally, practising self-restraint in limited intimacy, and paying attention to their own familial investment.
Population aging has increased the demand for elderly care worldwide. The home-based elderly care system plays an important role in meeting this demand in developing countries. The quality of home-based elderly care is associated with the job satisfaction of caregivers in home-based elderly care programs, which has rarely been studied. This paper explores the factors that affect the job satisfaction of these elderly caregivers, including personal characteristics, working conditions, employment status, training, caregiver–client relationships, welfare, work experience, and burnout. It utilizes data from the Shanghai Domestic-work Professionalization Survey (SDPS), which was conducted among four types of in-home caregivers (n = 1000) in Shanghai over the period from May to September 2021. This paper selected a sample of elderly caregivers (n = 285) to examine their job satisfaction. The results show that gender, age, marital status, how they earned the job, relation with clients, social insurance, and work experience are significantly associated with the job satisfaction of in-home elderly caregivers, and their job satisfaction is negatively associated with their burnout levels. However, training and working conditions have no significant effect on the job satisfaction of in-home elderly caregivers, which is different from previous studies on formal care workers, such as nurses, in the institutional care system.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.