期刊
SCIENCE OF THE TOTAL ENVIRONMENT
卷 683, 期 -, 页码 729-736出版社
ELSEVIER
DOI: 10.1016/j.scitotenv.2019.05.307
关键词
Low-carbon behavior; Group characteristics; Structural equation model; Multi-group analysis; Survey data; China
资金
- National Natural Science Foundation of China [71373173]
- National Social Science Fund of China [14ZDB135]
Individual low-carbon behavior plays an important role in reducing carbon emissions and improving the ecological health of the environment. This study explored the factors that influence individuals' low-carbon behavior and the variations between different groups. A questionnaire measuring seven dimensions (including low-carbon awareness, low-carbon knowledge, personal norms, social norms, situational factors, private low-carbon behavior, and public low-carbon behavior) was distributed to the residents of Tianjin, yielding 418 valid responses. The results indicated that low-carbon awareness, low-carbon knowledge, personal norms, social norms, and situational factors had an impact on residents' low-carbon behavior. In particular, the level of public low-carbon behavior was higher than private low-carbon behavior. Second, by exploring the effects of situational factors on residents' low-carbon behaviors, we found that situational factors inhibited both private and public low-carbon behaviors. Third, in different groups based on age, gender, income, education, and other variables there were differences in impact effects. This research has significant potential for guiding residents' low-carbon behavior and improving low-carbon management. (C) 2019 Elsevier B.V. All rights reserved.
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