竞赛(生物学)
可能性
污染
对手
空气污染
Boosting(机器学习)
业务
生态学
计算机科学
生物
计算机安全
机器学习
逻辑回归
作者
Jiawei Mo,Zenan Wu,Ye Yuan
标识
DOI:10.1016/j.jeem.2023.102886
摘要
This article investigates how environmental adversity affects competitive performance in cognitive-intensive settings. Using a comprehensive dataset of professional eSports tournaments and match-hour variation of fine particulate matters, we find robust evidence that pollution kills competition. Specifically, higher air pollution levels diminish the performance and winning odds of the weaker team in a matchup while boosting that of the stronger team, widening the gap between them. We document two operating channels: (i) pollution leads to heterogeneous performance-reducing effects contingent on a team’s relative strength against their opponent, rather than its absolute competitiveness; and (ii) a weaker team adjusts their strategic decision-making differently in a polluted environment compared to their stronger counterparts. Our findings elucidate the distributional impact of environmental adversity and underscore its influence on strategic decision-making.
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