Geopolitical Environmental Events and Consumer Behavior: A Regression Analysis Based on the Hong Kong Market

DOI

10.2991/978-94-6239-701-9_17How to use a DOI?

Keywords

Geopolitical environmental events; Discharge of nuclear wastewater; Consumer behavior; Regression analysis; Hong Kong consumers

Abstract

In recent years, frequent geopolitical and environmental emergencies have profoundly impacted regional consumer markets and purchasing decisions. Using Japan’s nuclear-contaminated water discharge announcement as a quasi-natural experiment, this study examines its effects on Hong Kong consumers’ behavior. Employing regression analysis as the primary empirical method, we construct models to analyze shifts in consumer attitudes, purchase intentions, and consumption choices during environmental emergencies. The findings demonstrate that the announcement significantly influenced local consumers’ risk perception and purchasing behaviors, leading to marked adjustments in product preferences. These conclusions not only enrich empirical research on geopolitical events and consumer behavior but also provide actionable insights for businesses, marketers, and relevant authorities in managing public emergencies.

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.

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TY  - CONF
AU  - Shanrui Guo
PY  - 2026
DA  - 2026/07/30
TI  - Geopolitical Environmental Events and Consumer Behavior: A Regression Analysis Based on the Hong Kong Market
BT  - Proceedings of the 2026 11th International Conference on Social Sciences and Economic Development (ICSSED 2026)
PB  - Atlantis Press
SP  - 161
EP  - 170
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-701-9_17
DO  - 10.2991/978-94-6239-701-9_17
ID  - Guo2026
ER  -