Evidence map›Paper›PMID 36518577›Full record

ArticleFrontiers in public health2022

The impacts of COVID-19 on China insurance industry-An empirical analysis based on event study.

Xuan Wu, Chan Wang, Hong-Xing Wen, Pu-Yan Nie, Jin-Fa Ye

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Xuan WuSchool of Economics, Guangdong University of Finance and Economics, Guangzhou, China.
Chan WangSchool of Economics, Guangdong University of Finance and Economics, Guangzhou, China.
Hong-Xing WenSchool of Economics, Guangdong University of Finance and Economics, Guangzhou, China.
Pu-Yan NieSchool of Economics, Guangdong University of Finance and Economics, Guangzhou, China.
Jin-Fa YeGuangzhou Chow Tai Fook Financial Center, Aegon THTF Life Insurance Company, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: At the end of 2019, the sudden outbreak of COVID-19 pneumonia has developed from a mass health event to a global epidemic disaster. Its impact extends from human health to social, economic, political, international relations and global governance. In the process of fighting against the epidemic in China, almost all economic sectors were affected, and the insurance industry with epidemic sensitive characteristics was particularly affected. Methods: In order to identify the impacts of COVID-19 on China's insurance industry, this paper uses the event study method to calculate the changes in the cumulative abnormal return rate and the cumulative excess return of Chinese listed insurance companies before and after the outbreak of COVID-19. In the empirical analysis, five different typical events are examined, including the first outbreak of COVID-19 in China, the closure of Wuhan, the dredging of Wuhan, and the listing of vaccines in China. Results: The results show that the return rate of listed companies in the insurance industry showed an "inverted N" curve with the "decreasing, rising and then decreasing." The epidemic mainly has negative effects on the insurance industry in terms of premium income and indemnity expenditure. According to the supply shock theory of the new supply economics, the epidemic has a negative impact on the insurance industry in the short term and a positive impact in the long term. Discussion: In this context, insurance enterprises should attach importance to the change of business model, strengthen the development model of public-private joint venture insurance, promote product innovation and the application of insurance technology, and the experience and practice of the insurance industry in responding to the impact of the epidemic are of great significance to the transformation of China's insurance industry.

Indexed as

COVID-19InsuranceChinaCommerceHealth ExpendituresHumansabnormal returnCOVID-19event studyimpactsinsurance industry

Identifiers

PMID36518577
PMCPMC9742270

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