期刊
ECONOMIC ANALYSIS AND POLICY
卷 72, 期 -, 页码 743-756出版社
ELSEVIER
DOI: 10.1016/j.eap.2021.10.010
关键词
Low-carbon travel; Bivariate probit model; Consistency; Consumer behaviour
类别
资金
- National Natural Science Foundation of China [72133003]
This study used a bivariate probit model to analyze the consistency between urban residents' intentions and behaviors in low-carbon travel, finding that sociodemographic factors, TPB factors, and situational factors significantly impact this inconsistency. The research provides targeted suggestions for enhancing public intention of low-carbon travel and improving low-carbon travel in cities.
Urban residents' travel is an important component of carbon emissions and is becoming a hot topic in discussions on how to achieve carbon neutrality by 2060. Existing studies mainly focus on low-carbon travel behaviours and intentions independently, ignoring the inconsistency between the two. This paper uses a bivariate probit model based on questionnaire survey data to explore the consistency between urban residents' intentions and behaviour. The results show that sociodemographic factors, TPB (theory of planned behaviour) factors, and situational factors all significantly impact the inconsistency. This paper provides careful analysis, and based on the results and analysis, proposes targeted suggestions to enhance the public intention of low-carbon travel and proper policies to improve low-carbon travel in cities. (C) 2021 Economic Society of Australia, Queensland. Published by Elsevier B.V. All rights reserved.
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