情绪起伏与消费欲望：从心理到经济的探索

With the ongoing advancement of the information age, the influence of emotions on consumer decision-making has become increasingly significant. In recent years, emotional regulation has gradually emerged as a key factor shaping consumer behavior, particularly among younger populations. This study explores the relationship between emotional fluctuations and consumer desire from both psychological and economic perspectives. Based on emotional regulation theory, the research expands an emotion lexicon and analyzes large-scale Weibo data to examine the impact of emotions on the total retail sales of consumer goods. First, the study integrates existing emotion lexicons with Tencent AI Labs Chinese word vector data and uses large models to filter candidate words, constructing an emotion lexicon more aligned with contemporary online language. Subsequently, panel data analysis of Weibo emotional data from 2010 to 2020, based on the expanded lexicon, reveals that positive emotions (such as joy and contentment) significantly promote consumption growth, while anger and sadness drive impulsive or compensatory consumption. In contrast, emotions of surprise and fear tend to suppress consumption behavior. The findings not only enrich theoretical research on the relationship between emotions and consumer behavior but also provide valuable insights for marketing strategies and policy formulation.