Chaoping Zhu’s research while affiliated with Jiangxi Normal University and other places

As a key driver of the green and low-carbon transformation of the energy sector, clean heating technology plays a crucial role in advancing sustainable energy development. However, the research and development (R&D) of clean heating technology is hindered by conflicting interests among key supply-side stakeholders, including heating enterprises, commercial banks, and government departments. These conflicts create challenges for promoting the diffusion of clean heating technology. To address this issue, this paper develops a tripartite evolutionary game model involving these stakeholders, with the aim of exploring strategies to facilitate clean heating technology diffusion from the supply side. Through mathematical modeling and numerical simulations, we examine how variables such as cost, subsidies, and penalties affect the strategic decisions of these participants. The results showusing that (1) the cost of clean heating technology R&D significantly influences commercial banks’ willingness to collaborate with heating enterprises; (2) increasing credit penalties for non-compliance and enhancing returns from clean heating technology can motivate heating enterprises to engage in technology R&D; (3) enhancing economic penalties and strengthening informal regulations can improve cooperation between commercial banks and heating enterprises; (4) moderate subsidies can positively influence the strategies adopted by commercial banks and heating enterprises. Based on these findings, we propose policy recommendations to promote clean heating technology diffusion from the supply side. This study offers both theoretical support and practical guidance for advancing clean heating technology diffusion, which is strategically important for sustainable energy development.

The global population influx during the COVID-19 pandemic poses significant challenges to public health, making the prevention and control of infectious diseases a pressing concern. This paper aims to examine the impact of population influx on the spread of infectious diseases, with a specific emphasis on the mediating role of air pollution in this process. A theoretical analysis is conducted to explore the relationship between population influx, air pollution, and infectious diseases. Additionally, we establish a series of econometric models and employ various empirical tests and analytical techniques, including mediation effect test, threshold effect test, and systematic GMM test, to evaluate our hypotheses. The results indicate that: (1) Population influx directly and indirectly impacts infectious diseases. Specifically, population influx not only directly elevates the risk of infectious diseases, but also indirectly increases the incidence rate of infectious diseases by intensifying air pollution. (2) The impact of population inflow on infectious diseases exhibits regional heterogeneity. Compared to central and western China, the eastern regions exhibit a significantly higher risk of infectious diseases, exceeding the national average. (3) External factors influence the relationship between population influx and infectious diseases differently. Personal income and medical resources both help mitigate the risk of infectious diseases due to population influx, with medical resources having a more substantial effect. Contrary to expectations, abundant educational resources have not reduced the risk, instead, they have exacerbated the risk associated with population influx. This paper provides a scientific basis for formulating effective strategies for the prevention and control of infectious diseases.

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.”

Municipal household waste management (MHWM) is crucial for urban governance and sustainable development. Currently, Chinese governments at all levels are making great effort to implement MHWM through waste classification and recycling (WCR). However, the major participants in WCR, such as urban residents, property management companies and government departments, may act in their self-interest and hinder the MHWM goals. Therefore, it has become an imperative initiative to promote MHWM by effectively coordinate their conflicts of interest. Considering that external factors with complexity and uncertainty may also affect participants' behaviors, we develop a stochastic tripartite evolutionary game to model behavioral interaction of the three participants. Then we derive theoretical results and simulate different scenarios to examine the effects of key factors on participants' strategy evolution. The results show that stochastic interference, cost reduction and rules simplification contribute to WCR of MHWM, and reward and performance improvement benefits have different incentive effects. Moreover, credit-based punishment and disclosure of non-compliance are more effective than financial-based penalty. To promote MHWM, policymakers should not only simplify classification rules, lower participation cost and enhance credit-based punishment system, but also encourage anonymous report and apply well-designed financial-based incentive and penalty.