A Study on the Factors Influencing Low-Carbon Behavior Among Residents in Chongqing

In the past few years, there has been growing recognition and widespread attention towards the severity of global climate change and environmental issues. Low-carbon behavior has become one of the important ways to address these problems. This article utilizes a sample of 585 Chongqing residents collected via a questionnaire survey as the research subject, and employs a binary logistic regression model to analyze the factors that influence low-carbon behavior. Additionally, an interpretive structural modeling (ISM) is constructed to examine the logical relationship between the various factors influencing low-carbon behavior. The research results show that: (1) Based on the results of binary logistic regression, this study reveals that low-carbon efficacy, behavioral willingness, low-carbon cognition, sense of responsibility, social pressure, infrastructure, and policy are all significant factors that impact low-carbon behavior. Among them, low-carbon efficacy, behavioral willingness, low-carbon awareness, and sense of responsibility have a significant positive effect on low-carbon behavior, while social pressure and policy have a significant negative effect on low-carbon behavior. (2) The fundamental factors that influence low-carbon behavior, as per the ISM analysis, are policy and infrastructure. Intermediate factors that exert an impact on low-carbon behavior encompass low-carbon efficacy, sense of responsibility, social pressure, and low-carbon cognition. Finally, behavioral willingness functions as a direct determinant of low-carbon behavior.