Jianru Fu’s research while affiliated with Jiangxi Normal University and other places

This study provides a comprehensive analysis of the dynamic evolution of complexity and synchrony between the carbon market and the new energy market from 2019 to 2023, employing multiscale sample entropy and cross‐sample entropy methods. The study shows that, both in the long term and short term, the complexity of the new energy market consistently exceeds that of the carbon market. Additionally, the carbon and new energy markets exhibit higher synchronization on smaller scales. As the time scale increases, interactions between the carbon and new energy markets become more complex and diverse. According to these findings, it is recommended that policymakers improve the transparency of the new energy market, optimize the operational mechanisms of the carbon market, and ensure that carbon reduction strategies and new energy policies are mutually coordinated. This holds significant importance for both carbon reduction targets and the development of new energy.

Regional haze pollution is a serious atmospheric environmental problem in China, it seriously affects residents’ health. This paper uses ArcGIS software to analyse the spatial and temporal distribution maps of haze pollution and residents’ health in China, and empirically examines the spatial non-linear effects of haze pollution on residents’ health by using spatial econometric models and threshold models. The results are shown as follows: First, the level of haze pollution in China is gradually decreasing, and the level of residents’ health is gradually improving. It is worth noting that the areas with high level of haze pollution are mainly located on the southeast side of the Hu line. Coincidentally, the areas with high level of residents’ health are also mainly located in the southeast side of the Hu line. Second, haze pollution has significant spatial spillover effect on residents’ health, with inter-regional spillover effect being much greater than intra-regional spillover effect. Third, economic development increases the health risk from haze pollution, while environmental regulation does not reduce the health risk from haze pollution. The effect of population agglomeration on the health risk from haze pollution shows a trend of improvement followed by deterioration, while the effect of industrial agglomeration on the health risk from haze pollution shows a trend of deterioration followed by improvement. Therefore, this paper provides valuable insights for the ongoing and comprehensive efforts to fight for a blue sky and promote the implementation of the national strategies of “Beautiful China” and “Healthy China”.

At present, air pollution remains a serious environmental issue with extensive attention in China. It may not only cause population outflow but also poses significant threats to residents’ health. Therefore, it has become an imperative initiative to explore the impact of air pollution on the residents’ health. In this paper, we map the spatial distribution of air pollution, population migration, and residents’ health between 2010 and 2020 based on panel data from 31 Chinese provinces. Theoretical analysis and empirical tests are then carried out to investigate the intrinsic logical relationships between the three. The research findings demonstrate the following: (1) Air pollution not only has a direct negative impact on residents’ health, but it also has an indirect impact on residents’ health through the mediating effect of population migration. (2) Air pollution has a significant negative spatial spillover effect on residents’ health, and neighboring residents are at greater health risk of being exposed to air pollution than local residents. (3) Economic development, environmental regulation, and their interaction term exhibit a single threshold effect on the health risk of air pollution. (4) From the perspective of regional heterogeneity, we find that the health risk of air pollution is greater in northern China and the southeast of the Hu Line. This paper provides valuable insights for promoting the implementation of the grand strategies of “Beautiful China” and “Healthy China.”

Introduction Public–private partnership (PPP) older adult care project is an effective means to solve the dilemma of the aging population in China's rural areas, but there are some problems in the operation process, such as a low participation rate and poor service quality, resulting in the needs of rural older adult groups not being met. Methods To alleviate the pressure of the aging population in rural areas, this study establishes an evolutionary game model for the PPP older adult care project, then defines the interests of local government, the private sector, and rural older adult residents, based on which it discusses the strategic choices of the three parties in the evolutionary process, and finally analyzes the influencing factors of the strategic choices of the game parties through simulation. Results The results suggest that whether the private sector chooses to actively participate in the project will be influenced by the willingness of local government and rural older adult residents to participate in the project. Local government could play the role of supervisor through reward and punishment mechanisms. Whether older rural residents choose to participate in the project depends on the number of benefits they would receive. Discussion Based on these findings, local governments should clarify the responsibilities of relevant stakeholders, adopt a regulatory strategy combining subsidies and penalties, improve the participation efficiency of rural older adult residents, promote the effective operation of PPP older adult care projects, and improve the quality of rural older adult care services in the new era.

The development and spread of Internet technology have made it easier to find web servers. People can browse various websites to shop or pay for living expenses, which brings great convenience to life, but as a result, Internet security problems continue to appear. This article is based on a detailed theoretical analysis of mainstream algorithms, making an analysis of web logs which is of great significance and practical value. In addition, through reasoning analysis, technical support is provided for improving the weight factor of the KNN (K-nearest neighbor) algorithm, and the literature research method of the SVM-KNN hybrid algorithm and the KNN classifier is proposed. This paper conducts a detailed theoretical analysis based on the mainstream algorithms that are widely used in the current classification technology and integrates the mainstream classification algorithms in real-life applications and popularization, selecting the support vector machine and KNN calculation method. In the digital economy development model, although China has a large number of netizens, obvious late-comer advantages and institutional advantages as a guarantee, due to the constraints of two key factors, capital and technology, a series of social problems have also arisen. During the transformation of the digital economy, prominent digital security issues, high-risk vulnerabilities, and increasing number of cyber-attacks, along with uneven data quality levels and lagging laws and regulations, have brought many challenges and obstacles.