Paper
22 April 2022 Study on the influence mechanism of ecological consumption behavior: taking Beijing citizens as an example
Yuqing Jia, Changjiang Tang, Ziman Xu
Author Affiliations +
Proceedings Volume 12163, International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021); 1216315 (2022) https://doi.org/10.1117/12.2627449
Event: International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021), 2021, Nanjing, China
Abstract
Ecological product is a major aspect in the concept of ecological civilization construction in China, which provide a practical grasp and material carrier for the theory of "Two Mountains". The realization mechanism of the value of ecological product is the key path to realize the transformation of "Two Mountains". As the main body of consumption, consumers' ecological consumption behavior directly determines the degree of value realization of ecological product. In this background, based on the theory of planned behavior, the influence mechanism model of consumer ecological consumption behavior is constructed. In this model, the values of ecological consumption is antecedent variable, the attitude of ecological consumption is intermediary variable, the reference group is moderator variable and the behavior of ecological consumption is result variable. The relationship among them was tested by partial least squares structural equation modeling (PLS-SEM). The results show that the ecological consumption values positively predict the ecological consumption attitude, while the ecological consumption attitude positively predicts the ecological consumption behavior. Moreover, the relationship between the ecological consumption values and the ecological consumption attitude is positively regulated by the reference group.
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Yuqing Jia, Changjiang Tang, and Ziman Xu "Study on the influence mechanism of ecological consumption behavior: taking Beijing citizens as an example", Proc. SPIE 12163, International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021), 1216315 (22 April 2022); https://doi.org/10.1117/12.2627449
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KEYWORDS
Reliability

Environmental sensing

Data modeling

Forestry

Social sciences

Statistical analysis

Scientific research

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