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Promoting electric vehicles (EVs) adoption has become one of the important paths for countries around the world to address climate change and accelerate the transformation of energy system for achieving sustainable development. As one of the important psychological factors, the research on the explanatory power of emotions to EVs purchase intention is still insufficient. This paper collected 400 valid questionnaires all around China. By incorporating emotions and moral norms into the Theory of Planned Behavior (TPB) model, this study used structural equation model to estimate the impact of positive anticipated emotion (PAE), negative anticipated emotion (NAE), and moral norms together with TPB elements on EVs purchase intention. In order to explore the heterogeneity effect of the above factors on EVs purchase intention among consumers of different income groups, we divided the total sample into high-income subsample and low-income subsample according to the household monthly disposable income. We concluded as follows: for the total sample, PAE has the greatest impact on EVs purchase intention, followed by attitude, NAE, and perceived behavioral control (PBC). In particular, the purchase intention of high-income consumers mainly depends on NAE, while the purchase intention of low-income consumers mainly depends on PAE. Additionally, PBC has more significant impact on EVs purchase intention of high-income group. Finally, targeted policy implications are proposed to promote EVs purchase., Author(s): Zhengxia He [sup.1] , Yanqing Zhou [sup.4] , Jianming Wang [sup.2] , Wenxing Shen [sup.3] , Wenbo Li [sup.4] , Wenqi Lu [sup.4] Author Affiliations: (1) grid.410595.c, 0000 0001 [...]

This study explores the spatial mode of electric vehicle (EV) adoption in the early market of 41 key cities in China among which there is a high spatial heterogeneity. A spatial econometric model is established to illustrate the relative importance of regional variables on EV adoption. Most independent variables have significant direct positive effects on EV adoption. Specifically, the number of charging piles and per capita income had the greatest effects, followed by population density and university degree. These results indicate that areas with dense populations, higher education levels, higher income, and a complete charging infrastructure tend to dominate the early market for EVs. In comparison, the indirect effects of most independent variables are not significant, except for the population density and number of charging piles. Finally, this study concludes with the application of empirical results to policymaking. [ABSTRACT FROM AUTHOR]

Background: While China's primary health care (PHC) system covers all citizens, the use of medical services supplied by primary health institutions (PHIs) is not at ideal levels. This study explored the impact of socioeconomic status (SES) on residents' first choice of medical services provided by PHIs., Methods: This community-based, cross-sectional study was conducted in Jiangsu Province, China, from October 2021 to March 2022. A custom-designed questionnaire was used to evaluate 4,257 adults, of whom 1,417 chose to visit a doctor when they were sick. Logistic regression was used to test the relationships among SES, other variables and the choice of medical services, and interaction effects were explored., Results: A total of 1,417 subjects were included in this study (48.7% female; mean age 44.41 ± 17.1 years). The results showed that older age ( p < 0.01), rural residence ( p < 0.01), a preference for part-time medical experts in PHIs ( p < 0.01), and lack of coverage by basic medical insurance ( p < 0.05) were associated with the first choice to use PHIs. In the multiple logistic regression model, SES was not associated with the first choice of medical services supplied by PHIs ( p > 0.05), but it interacted with three variables from the Commission on Social Determinants of Health Framework (material circumstances, behaviors and biological factors, and psychosocial factors)., Conclusion: Vulnerable individuals who are the target visitors to PHIs are older, live in rural areas, and suffer from chronic diseases. SES, as a single factor, did not impact whether medical services at PHIs were preferred, but it mediated relationships with other factors., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Miao, Fang, Sun, Yin, Li, Shen, Chen and Huang.)