| Issue |
E3S Web of Conf.
Volume 393, 2023
2023 5th International Conference on Environmental Prevention and Pollution Control Technologies (EPPCT 2023)
|
|
|---|---|---|
| Article Number | 02032 | |
| Number of page(s) | 5 | |
| Section | Ecological Protection and Sustainable Development Research | |
| DOI | https://doi.org/10.1051/e3sconf/202339302032 | |
| Published online | 02 June 2023 | |
A Review of Research on Low-Carbon Customization
School of Economics and Management, Harbin Institute of Technology, Weihai Shandong, China
* Corresponding author: zxhqd@foxmail.com
In recent years, environmental protection has become the consensus of people all over the world, and the implementation of low-carbon economic model is the inevitable choice of global economic development. Consumption is an important link in economic development. How to enhance residents' willingness to low-carbon consumption has become a hot topic, and low-carbon customization has been gradually derived. Different from traditional low-carbon consumption, low-carbon customization is a complex consumption pattern. Therefore, it is necessary to review the existing research results and grasp its research status. In this paper, the existing research literature on low-carbon consumption and low-carbon customization is systematically reviewed. First of all, the concept and connotation of low-carbon consumption are improved, and various influencing factors (including demographic factors, psychological factors and external factors) of low-carbon consumption are summarized. Then the concept of low-carbon customization is further clarified, and the important influence of the choice architecture in the customization process is emphasized. Finally, this paper analyses the limitations of the current research and proposes the possibility of future research, hoping to contribute to the existing research on low-carbon consumption.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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