With the rapid development of China’s digital economy, promoting the digital countryside construction has become the strategic focus and priority development direction of rural revitalization and common prosperity. This paper combines the county-level digital countryside index with the data from the China Household Finance Survey to empirically analyze the impact and mechanism of the digital countryside construction on household income. The results show that the digital countryside construction can significantly improve the level of household income. After the endogenous analysis and the robustness test, this core conclusion is still valid. From the perspective of mechanism test, the digital countryside construction can increase household income by promoting household entrepreneurship and nonagricultural employment. Heterogeneity analysis shows that there is no significant difference in the income-increasing effect of the digital countryside construction, whether urban or rural households, or households with different human capital and social relations, which means that the digital countryside development has the characteristics of inclusiveness and sharing. Under the background of unswervingly taking the road of common prosperity for all Chinese people, this paper provides some micro-evidence for how the digital economy can contribute to household income growth, as well as provides a useful reference for the implementation of the digital China strategy.

Background: While Chinese cities are pursuing economic development, meeting citizen demand for medical treatment has only gradually been put on the agenda. Theoretically, in the second half of a person’s life, demand for medical treatment will rise sharply. Given limited medical resources, the match between demand and supply becomes more difficult. We conducted questionnaires in Shanghai to describe whether there are obvious group differences in the elderly population’s medical treatment options and provide empirical evidence on the determinants. Method: We collected 439 Shanghai Elderly Medical Demand Characteristics Questionnaires, which included five parts: personal information, health status, elderly person’s medical preference and expectation, satisfaction level for hospitals services, and medical insurance. We set up virtual explanatory variables according to the different medical behaviours of the elderly, and control variables composed of individual characteristics, socioeconomic characteristics, medical needs, medical resource availability, and medical expenditure. We used the MLR model to investigate medical treatment behaviour choice. Results: The medical treatment behaviour of the elderly population in Shanghai is affected by multiple factors. When experiencing physical discomfort, most of them choose to go to the hospital (64.69%). Age, income, household registration, and medical insurance reimbursement policy play a role in their decision-making. For general diseases, the proportion choosing specialist hospitals or community clinics is the highest (40.78%). Age, marital status, residential status, physical state, objective distance, medical expenses, and other factors have a significant impact. For severe diseases, they are more inclined (71.07%) to visit general hospitals, with the individual’s physical condition, living status, and accessibility to hospital resources more likely to affect their behaviour. Conclusion: Firstly, the importance of each factor varies depending on the conditions. Secondly, it may be more appropriate for China’s elderly health insurance system to set reimbursement rates based on the patient’s condition and disease type. Thirdly, medical behaviour has a distance friction effect, but the allocation of public service resources shows a strong centripetal concentration. It is necessary for the government to show due care about the regional distribution of the elderly population and to promote the rational distribution of medical resources in Shanghai.

This study examined the changing trajectory and factors that influenced the health and medical expenditure of the Chinese elderly population over the past two decades. Based on the Chinese Longitudinal Healthy Longevity Survey (CLHLS) from 1998 to 2018, inferential and multiple linear regression models were constructed. The key finding is that China has experienced a decoupling of healthcare demand (HCD) and healthcare expenditure (HCE) since around 2014, when HCE began to decline despite the fact that HCD continued to rise. This is a promising sign, suggesting that the government’s health insurance policy is working. Furthermore, participating in health insurance schemes can significantly reduce the elderly’s HCD and HCE, demonstrating that health insurance can effectively affect the elderly’s decision to seek medical treatment and improve their health condition. We also found that age, region, basic old-age insurance, and care by the government and institutions were significant factors that influenced the healthcare demand and expenditure of the elderly population.

The reduction and efficiency of fertilizer use has been a recent focus of governments and scholars. As a new agricultural technology, controlled-release fertilizer can not only increase yield and save labor, but also improve efficiency and reduce the use of fertilizer, thus promoting sustainable agricultural development. Drawing on a sample of 231 farmers of Jiangsu Province, China, this paper applies a probit model to assess the adoption behavior of controlled-release fertilizer by large-scale households in terms of three dimensions of social network, i.e., communication intensity, trust level, and network size, specifically exploring how science popularization influences their adoption intention, and comparing the heterogeneity of impact that social network has on the adoption intention of farmers when the information is obtained adequately or not. The empirical results demonstrate that: (1) At the early stage of technology diffusion, the size of social network has a positive effect on farmers’ cognition of controlled-release fertilizer, and the communication intensity with neighboring farmers has a positive effect on the adoption behavior of controlled-release fertilizer; (2) Farmers’ adoption intention of controlled-release fertilizer is significantly influenced by their original knowledge of new technology and science popularization; (3) When the information is sufficient, the social network of large-scale households has no significant effect on their willingness to adopt. Therefore, in promoting controlled-release fertilizer, the government should highlight the synergistic effect of farmers’ cognition and science popularization activities, fully consider the characteristics of farmers’ social network, facilitate the infrastructure of rural informatization, and regulate the agricultural promotion networks so that farmers can obtain sufficient and effective information.

Private (out-of-pocket) healthcare expenditure (PHCE) is a complex phenomenon that is shaped by many different factors. In this paper, we analyzed the influencing factors of PHCE in China, with a specific focus on regional differences. We found that old-age dependency ratio, income, and education have significant impacts on PHCE in all regions, whereas public HCE, number of beds in medical institutions, and economic development levels have significant impacts only in some regions. The results indicate that the government should pay attention to regional inequality and implement targeted adjustments for improving the health service system. In particular, we recommend: (1) monitoring regional inequality in PHCE and other healthcare issues to unmask geographical differences in healthcare interventions; (2) adopting regional-specific policy measures—the government should divert some resources from eastern to western and central regions to increasing the support for public health undertakings and improve the quality of the local health services while providing matching medical resources by targeting the needs of the residents; (3) paying more attention to the healthcare demand of the elderly population; and (4) improving the education level of residents to improve public health and avoid high PHCE.