This paper develops a new concept called virus-combat social capital and presents relevant findings from a survey of 3009 Chinese WeChat networkers. Virus-combat social capital is defined by the intensity and extensity of social connectedness under conditions of physical isolation during the COVID-19 pandemic. The survey shows that as compared to their counterparts, Chinese people with higher virus-combat social capital consistently do better in both behavioral responses and measures of quality of life.

Since “Belt and Road Initiative” (BRI) of 2014, the number of foreigners in China has increased rapidly and China has become an importing country for immigrants, a change ongoing since the beginning of the 21st century. To respond to the rapidly increasing number of foreigners in China, the government frequently revised the immigration policies and issued new regulations for foreigners. However, scholars understand very little about how the foreigners perceive their integration into Chinese society or decide to pursue long-term residency or lawful permanent resident status. While some pioneering studies touch on this, with samples from the coastal megacities, no empirical evidence has been collected from smaller, inner cities. Three new findings about the foreigners in Xi’an, a major city in western China, fill this literature gap. First, the level of subjective social integration is largely influenced by the local networks. Second, the level of objective social integration depends largely on local and hometown networks. Third, the intention to obtain long-term and permanent residency in China is more evident in those foreigners who come from countries covered by the BRI and who consider China to be a better place to live than their home country.

With the advancement of social network research over time, a research consensus has been reached that the use of social networks in job searching can provide positive returns. This study focused on the heterogeneity in the returns to social networks. Using Job Search and Social Networks (JSNET) survey data on urban residents of China, we examined the differences in the propensity to use social networks in job searching and the returns to social networks in terms of job seekers’ earnings and job satisfaction using propensity score stratification and the heterogeneous treatment effects model (HTE model). The use of social networks in job searching was found to be nonrandomly distributed, and the propensity to use such networks varied according to job seeker characteristics. For job seekers with different propensities, the returns to social networks were also different. Moreover, there was negative selection in the instrumental effect of social network use in the job search process but positive selection in the expressive effect: the higher the propensity to use one’s networks, the lower the income return to social networks and the higher the job satisfaction; the lower the propensity to use one’s networks, the higher the income return and the lower the job satisfaction.