发表机构
Real Good AI（Real Good AI）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
该研究利用1991-2021年面板数据和面板数据因果推断方法，探究自然灾害破坏对县级非营利组织的影响，未发现其存在因果效应，与此前微弱正相关的结论不同。
AI 中文摘要
当自然灾害来袭时，个人、社区甚至整个国家都可能遭受损失。研究人员已探究灾害对各类关注因素的影响，从心理健康、贫困状况到经济活动均有涉及。然而，尽管非营利部门在地方或国家经济中扮演着重要角色，且在灾害响应与恢复中发挥作用，但其受灾害影响的情况却未得到充分研究。因此，本研究利用1991年至2021年的面板数据集，采用适配面板数据的因果推断方法，探究自然灾害破坏对不同县级非营利组织结果的影响。与此前发现灾害破坏与非营利组织收入或资产存在微弱正相关的研究不同，本研究未发现任何因果效应的证据。
英文摘要
When natural disasters strike, individuals, communities, and even entire countries can suffer. Researchers have studied the impacts of disasters on various factors of interest, from mental health, to poverty, to economic activity. However, the impact of disasters on the nonprofit sector is understudied despite the nonprofit sector's perhaps surprising role in local or national economies as well as its role in disaster response and recovery. Thus, we study the effect of natural disaster damage on different county-level nonprofit outcomes using a panel dataset spanning 1991 to 2021 and causal inference methods tailored to panel data. Contrary to prior work, which found small but positive associations between disaster damage and nonprofit revenue or assets, we find no evidence of a causal effect.
Comments47 pages, 10 figures, 5 tables
