详细信息
Risk communication clarity and insurance demand: The case of the COVID-19 pandemic
文献类型:期刊文献
英文题名:Risk communication clarity and insurance demand: The case of the COVID-19 pandemic
作者:Feng, Jingbing[1];Xu, Xian[2];Zou, Hong[3]
机构:[1]East China Univ Sci & Technol, Sch Business, Shanghai, Peoples R China;[2]Fudan Univ, Dept Insurance & Risk Management, Shanghai, Peoples R China;[3]Univ Hong Kong, Fac Business & Econ, Hong Kong, Peoples R China
年份:2023
卷号:146
外文期刊名:JOURNAL OF ECONOMIC DYNAMICS & CONTROL
收录:;WOS:【SSCI(收录号:WOS:000897041400007)】;
基金:We thank Xue-Zhong (Tony) He (Editor) for his many constructive suggestions, an anonymous reviewer who helped to improve the paper significantly, and Mike Adams, Meryem Duygun, Xiang Fang, Shiyang Huang, Alan Kwan, Tingjun Liu, Pingyi Lou, Fangzhou Lu, Joseph Luo, Mingzhu Tai, Lin Tang, Yongxiang Wang, and Jian Zhang for their helpful comments. We acknowledge the professional English language editing support provided by AsiaEdit (asiaedit.com). Zou acknowledges the financial support of the University of Hong Kong Seed Fund for Basic Research (202011159153). Feng acknowledges the financial support of the Fundamental Research Funds for the Central Universities (JKN012022005).
语种:英文
外文关键词:Risk information; Information ambiguity; Risk salience; Insurance demand; COVID-19
摘要:We study how the clarity of COVID-19 risk communications affects COVID-19 insurance demand using proprietary prefecture-level insurance data from China. We find that when local disclosures of COVID-19 risk contain case origin information, local purchases of COVID-19 insurance and local Internet searches for COVID-19 information increase, even after controlling for newly confirmed local cases and new deaths. Our results are robust to using the disclosure clarity of a major neighboring city. The findings suggest that providing improved knowledge about risk to individuals lead them to engage in more risk management. Our evidence contributes to the debate over how risk communication affects individuals' risk-related behaviors. (C) 2022 Elsevier B.V. All rights reserved.
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