适度
政府(语言学)
心理学
计划行为理论
结构方程建模
消费(社会学)
非概率抽样
中国
情感(语言学)
独创性
价值(数学)
社会化媒体
社会心理学
营销
控制(管理)
业务
社会学
政治学
经济
管理
社会科学
人口
法学
创造力
人口学
哲学
机器学习
统计
沟通
语言学
计算机科学
数学
作者
Pick-Soon Ling,Chee-Hua Chin,Jia Yi,Winnie Poh Ming Wong
出处
期刊:Young Consumers: Insight and Ideas for Responsible Marketers
[Emerald (MCB UP)]
日期:2023-03-17
卷期号:25 (4): 507-527
被引量:19
标识
DOI:10.1108/yc-01-2022-1443
摘要
Purpose Green consumption behaviour (GCB) has been advocated to mitigate the environmental consequences of traditional consumption patterns. Besides the current circumstances, Generation Z college students are a sizable consumer group who are likely to be concerned about the future. Thus, this study aims to examine the factors affecting the college students’ GCB and the moderating effect of government support to provide new evidence from college students in China. Design/methodology/approach In addition to environmental knowledge and social media influence as the variables, government support was used as a moderator to develop the extended theory of planned behaviour (TPB) model. Purposive sampling was used to obtain 328 valid responses from Chinese college students. The collected data were analysed using partial least squares structural equation modelling. Findings The findings indicated that subjective norms, perceived behavioural control, environmental knowledge and social media influence substantially affect students’ GCB. Notably, the moderation analysis suggested that government support greatly strengthens the relationship between subjective norms and social media influence on the GCB of Chinese college students. Practical implications The study provides several significant practical implications as the findings could be referred by stakeholders, such as government and businesses entities, in formulating policies and strategies to encourage the consumers’ GCB in mitigating ecological consequences. Originality/value The extended TPB model that integrated environmental knowledge and social media influence with the government support as the moderator contributes to the extant literature with the evidence derived from Generation Z in China.
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