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China faces an overwhelming and urgent need for long-term care (LTC). We explored long-term care insurance (LTCI) plans in China and the factors associated with each plan's contribution rate. A cross-sectional survey of 814 residents (18-59 years) was conducted to assess the expectations of elderly care, public and private LTCI features. Public LTCI may be more popular whether in terms of participation or contribution. The factors associated with public LTCI contribution rate were healthcare costs, household income, and number of daughters; for private LTCI, the factors were the proportion of living expenditures, worry about future care problems, and healthcare costs. Policymakers should develop public LTCI as a solid foundation and improve private LTCI as a substitute to meet the urgent LTC needs in China.

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The objectives of this study were to (1) analyze the circumstances of caregivers of elderly individuals with disabilities; (2) present their levels of care stress; (3) examine family, market, and government factors that help reduce this care stress; and (4) identify the most effective method of alleviating stress for these individuals. Face-to-face interviews were conducted using standardized questionnaires. Caregivers experienced a moderate level of stress, which increased with time. Spouse caregivers experienced highest care stress, with psychological stress being greatest. All caregiver groups received different levels of care assistance from family, market, and government. Most received support from family, few paid for professional care market services, and most were unsatisfied with government care services. Stress was associated differently with care time, care assistance, and sociodemographic characteristics. Spouse caregivers, psychological counseling, and quality of public care services require further attention, with an integrated care system required to help alleviate care stress among caregivers.

The large influx of migrant workers from rural to urban areas indicates that their social adaptation is an important issue in understanding China's urbanization. This article uses Coleman's capital theory to analyse data from the 2012 and 2014 China Labour Force Dynamic Survey (CLDS), conducting a multiple linear regression model to study migrants’ economic, living and cultural adaptations. The results are determined through analysis of the static and dynamic effects of different capital factors. The static analysis results show that social adaptation can be improved by increasing the accumulation of various types of capital, while the dynamic analysis results show that social adaptation is a dynamic process. Optimizing the allocation of the corresponding capital elements can speed up migrant workers’ social adaptation. Therefore, the government must prioritize measures to improve and optimize migrant workers’ capital factors and promote their social adaptation, which will in turn accelerate urbanization in China.