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An Analysis of Consumer Purchasing Behavior for ESG-Related Products: Based on Big Data from HKTVMall

In: Proceedings of the 2026 11th International Conference on Financial Innovation and Economic Development (ICFIED 2026)

Author

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  • Yujin Lu

    (Beijing Union University)

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.

Suggested Citation

  • Yujin Lu, 2026. "An Analysis of Consumer Purchasing Behavior for ESG-Related Products: Based on Big Data from HKTVMall," Advances in Economics, Business and Management Research, in: Xiongfeng Pan & Huaping Sun & Abdul Rauf & Md Rabiul Islam & Liew Chee Yoong (ed.), Proceedings of the 2026 11th International Conference on Financial Innovation and Economic Development (ICFIED 2026), pages 1064-1073, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6239-642-5_112
    DOI: 10.2991/978-94-6239-642-5_112
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