Analysis using structural equation modeling reveals group differences in low-carbon intention and behavior, suggesting tailored information dissemination strategies.
Based on structural equation modeling, the influence paths and group differences in residents’ low-carbon living behaviors and consumption behaviors were explored in six low-carbon pilot cities in China from the perspectives of low-carbon policy perception and low-carbon information dissemination. The results showed that residents in different pilot cities significantly differed in their low-carbon intention and low-carbon behavior, especially in Hangzhou and Chengdu, which had high low-carbon intention and low-carbon behavior. Low-carbon intention was the core driving force that promoted residents’ low-carbon behavior. Low-carbon policy perception and information dissemination impacted residents’ low-carbon intention and low-carbon behavior, with differences among different pilot cities. Residents in Chengdu and Wuhan showed a significant positive correlation in the direct and indirect paths of low-carbon policy perception on low-carbon behavior. In contrast, residents in Hangzhou showed a significant positive correlation in the impact path of low-carbon information dissemination on low-carbon consumption behavior. In addition, groups with different demographic characteristics significantly differed in the influence paths of their low-carbon behavior. Finally, targeted recommendations were proposed to promote differentiated strategies for implementing low-carbon behaviors, aiming to enhance public awareness and action capacity and support China’s low-carbon transition and carbon reduction goals.
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Chen et al. (2025) studied this question.
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