這項研究用新穎的視角來探討評分者的偏見，我們研究執行長的臉部吸引力如何影響該公司的 ESG 評分。基於「臉部印象」的概念，我們認為評分者可能會對臉部吸引力較高的執行長的公司給予更高的 ESG 評分。我們使用機器學習方法來計算執行長的臉部吸引力分數。本研究有助於理解 ESG 評分中的評分者效應，並探討執行長臉部因素的潛在影響。我們的研究顯示，執行長的臉部吸引力與其公司較高的 ESG 評分顯著相關，尤其是整體的 ESG 評分。細部而言，當執行長的任期較新時，由臉部更具吸引力的執行長領導的公司往往會獲得更高的環境評分。

This research explores a novel perspective on rater bias, investigating how a CEO's facial attractiveness might influence ESG ratings of that firm. Building on the concept of "face impressions," we propose that raters might assign higher ESG ratings to companies with facially attractive CEOs. We use a machine-learning method to calculate facial attractiveness score of CEOs. This research contributes to the understanding of rater effects in ESG ratings and explores the potential influence of CEO’s facial factors. Our research reveals that facial attractiveness of CEOs significantly associates with higher ESG ratings of their firms, especially for overall ESG rating. In detail, when CEOs are in the early stages of their tenure, firms led by more facially attractive CEOs tend to receive higher environmental ratings.

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