An Analysis of Consumer Purchasing Behavior for ESG-Related Products: Based on Big Data from HKTVMall
- DOI
- 10.2991/978-94-6239-642-5_112How to use a DOI?
- Keywords
- ESG products; Consumer behavior; Regression analysis; Logarithmic regression model
- Abstract
This paper primarily focuses on Environmental, Social, and Governance (ESG) related products, employing Python for regression analysis to systematically study the differences in consumer purchasing behavior between positive and negative ESG categories (categories that conform to ESG principles). It further explores the key factors influencing consumer decisions regarding these two categories. The study focuses on analyzing the quantitative differences in the purchase of both positive and negative ESG categories. It selects appropriate variables from five factors—price, membership, delivery, packaging, and time—as independent variables, emphasizing the degree of influence of different factors on consumer behavior in purchasing ESG categories. This research can provide data support for optimizing corporate ESG product operation strategies and a practical basis for guiding consumers to form sustainable consumption preferences and continuously promoting the sustainable development of society as a whole.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yujin Lu PY - 2026 DA - 2026/04/29 TI - An Analysis of Consumer Purchasing Behavior for ESG-Related Products: Based on Big Data from HKTVMall BT - Proceedings of the 2026 11th International Conference on Financial Innovation and Economic Development (ICFIED 2026) PB - Atlantis Press SP - 1064 EP - 1073 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6239-642-5_112 DO - 10.2991/978-94-6239-642-5_112 ID - Lu2026 ER -