Background: The popularization of the Internet and digital technology has called for higher digital literacy among citizens, especially the elderly. However, most existing studies didn’t measure digital literacy at the micro level, and the impact mechanism has rarely been discussed. The purpose of this study is to clarify whether and how digital literacy affects the health status of senior citizens. Methods: The data used in this study are collected from the China Family Panel Studies (CFPS) from three periods: 2016, 2018, and 2020. The balanced panel data comprised 7836 samples, with 2612 samples per year. Based on the CFPS data, this study constructs a balanced panel and employs a two-way fixed-effects model for the estimation. The instrumental variable (IV) method is employed for tackling the endogenous problems. Next, the mediation effect model is applied to identify the influencing mechanism. Results: First, digital literacy can improve the health status of senior citizens. This result remains valid after introducing lagged explanatory variables and addressing the endogeneity issues. Second, social support acts as a partial mediator in the relationship between digital literacy and the health status of senior citizens. Third, the heterogeneity analysis reveals that the effect of digital literacy on the health status of senior citizens varies across age groups, urban–rural types, and education levels. Conclusions: This study examines the impact of digital literacy on the health status of senior citizens at the micro-level and identifies the mediation mechanism. The results enhance our understanding of the positive effects of digitalization on aging society and offer useful insights for the government in formulating more targeted active aging strategies.

With the advent of the “Information Era”, the development of an integrated infrastructure, which involves the integration of traditional transportation infrastructure and informatization development, has become a new impetus for economic growth. Meanwhile, its environmental performance remains uncovered. Using data from 30 Chinese provinces between 2013 and 2020, this study designed an index system and constructed the coupling coordination degree model to assess the development level of integrated infrastructure. The regression model was established to examine the nonlinear effect of the integrated infrastructure on carbon emissions. The influencing mechanism was also discussed through identifying the impacts of integrated infrastructure on the energy intensity, industrial structure, and technological innovation. The evaluation of the evolutionary trend showed that the level of integrated infrastructure continues to improve and displays a feature of “higher highs, lower lows”, although the regional disparity was significant. The regression analysis showed that there was an inverted U–shaped relationship between integrated infrastructure and CO₂ emissions. It is also found that most provinces were below the turning point. In the mechanism analysis section, we can demonstrate that integrated infrastructure can enhance energy intensity, which might hamper reductions in emissions. However, an integrated infrastructure facilitates the development of tertiary industry, which can lead to lower carbon emissions. Based on the conclusions, some insightful policy implications are provided.