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Based on the questionnaire survey, this paper developed a theoretical model of the factors influencing consumers' purchase behavior for new energy hybrid vehicles using the theory of planned behavior and structural equation modeling techniques. It then used SPSS and AMOS to perform factor analysis, model fitness, and path analysis to reach the following conclusions: perceived behavioral control, behavioral attitude, and subjective norm have a significant positive influence on behavioral intention, and behavioral intention has a significant influence on actual behavior. However, there is no significant effect of perceived behavioral control on actual purchase behavior, but rather an indirect effect on actual behavior through the mediating variable of behavioral intention. The analysis of the multi-group model based on the individual characteristics of consumers showed that the coefficient of subjective norm on behavioral intention was higher for extroverted consumers than for introverted consumers; the influence of behavioral attitude on behavioral intention was significantly higher for introverted consumers than for subjective norm on behavioral intention. [ABSTRACT FROM AUTHOR]

Industrial carbon emissions are the main part of China's carbon emissions, so industrial carbon emission reduction is an important tool to achieve the 'double carbon' target. This paper constructs a Tapio model to decompose the total decoupling indicators into energy-saving decoupling indicators and emission-reduction decoupling indicators, with a view to revealing more deeply the reasons and mechanisms for the changes in the decoupling indicators between economic growth and CO2 emissions in the industrial sector of each prefecture-level city in Guangdong Province, as well as using cluster analysis to further explore the changes in the effect of energy saving and emission reduction in the industrial sector over the three five-year plans. The conclusions showed that: (1) the overall efficiency of energy saving and emission reduction in the industrial sector of Guangdong Province has improved, but there are large differences in efficiency between different cities and (2) the energy structure of the industrial sector in Guangdong Province has changed little due to immature technology. Based on the aforementioned findings, this paper puts forward corresponding policy recommendations. [ABSTRACT FROM AUTHOR]