Government dissemination of epidemic information as a policy instrument during COVID-19 pandemic: Evidence from Chinese cities

Wu, Xun; Lei, Shi; Lu, Xinyu; Li, Xiaotong; Ma, Liang

doi:10.1016/j.cities.2022.103658

Cited by 20 publications

(16 citation statements)

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“…After calculating the daily abnormal income AR t in the event window, the cumulative excess return rate is vertically added up to CAR t , reflect the overall impact of the event on the income of the underlying assets. 15,15] After the abnormal gain was obtained, the significance was tested by the T statistic. Null hypothesis, H 0 : AR t = 1, alternative hypothesis.…”

Section: Methodsmentioning

confidence: 99%

“…After the event, it began to rise continuously, and in the 15 trading days There were 13 trading days where abnormal returns were positive and 9 were significantly positive, reflecting a strong positive trend. As shown in Table 1, the average cumulative abnormal return CAR of all stocks in [− 15,15] for a total of 30 trading days is −0.0096<0, and it is significant at the 1% level, indicating that the new crown epidemic event during the research period has brought a negative impact on Chinese insurance stocks as a whole to abnormal returns.…”

Section: E Ect Of DI Erent Events On Ar Tmentioning

confidence: 99%

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

Wang

Wen

et al. 2022

Front. Public Health

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IntroductionAt 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.MethodsIn 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.ResultsThe 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.DiscussionIn 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.

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Section: Methodsmentioning

confidence: 99%

Section: E Ect Of DI Erent Events On Ar Tmentioning

confidence: 99%

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

Wang

Wen

et al. 2022

Front. Public Health

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“…Frontiers in Earth Science frontiersin.org transportation. To some extent, the development of the digital economy represents the administrative level of cities (Wu et al, 2022).…”

Section: Impact Of Digital Economy On Government Management Levelmentioning

confidence: 99%

Theoretical framework and research prospect of the impact of China’s digital economic development on population

2022

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Against the background of social digitalization, networking, and intelligent development, the relationship between China’s digital economy and regional factors is increasingly close. This study systematically cards the relevant references of the digital economy, regional factors, and population based on the six perspectives of industry, residents’ income, urban human settlement environment, infrastructure, the real economy, and government management level to explore the influence of the digital economy on regional factors and regional factors on population. The results show that: 1) the digital economy has a bidirectional influence on the population. Digital economy can both attract population and lead to population outflow through relevant regional factors. 2) Digital economy can indirectly affect the spatial layout of population attributes by giving digital connotations to regional elements. We analyze the influence of China’s digital economic development on the population, build the influence of the digital economy on the population research framework, and put forward the research prospect of the impact of the digital economy on the population to provide a new research perspective on digital economic geography and population, as well as provide significant reference to guide the reasonable population flow and narrow the digital divide gap.

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“…Differentiated policies implemented in Hubei and other parts of China providing a scientific reference for the implementation of differentiated policies based on different risks in public health emergencies ( 20 ). In addition, China's useful experience in the rapid and efficient control of the COVID-19 also includes the establishment of temporary hospitals, strict isolation ( 21 ), and the key role of government dissemination of epidemic information during COVID-19 pandemic ( 22 ). Overall, China's response to COVID-19 prevention and control measures confirms that government's strong interventional policies be vital components of public health emergencies control ( 23 ).…”

Section: Literature Reviewmentioning

confidence: 99%

The Impact of China's Paired Assistance Policy on the COVID-19 Crisis—An Empirical Case Study of Hubei Province

Huang

Yao²,

Chen

et al. 2022

Front. Public Health

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To control the coronavirus pandemic (COVID-19), China implemented the Paired Assistance Policy (PAP). Local responders in 16 cities in Hubei Province were paired with expert teams from 19 provinces and municipalities. Fully supported by the country's top-down political system, PAP played a significant role in alleviating the COVID-19 pandemic in Hubei Province and China as a whole. In this study, we examined PAP using a two-way fixed effects model with the cumulative number of medical support personnel and cumulative duration as measurements. The results show personnel and material support played an active role in the nation's response to the COVID-19 public health crisis.

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Government dissemination of epidemic information as a policy instrument during COVID-19 pandemic: Evidence from Chinese cities

Cited by 20 publications

References 50 publications

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

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

Theoretical framework and research prospect of the impact of China’s digital economic development on population

The Impact of China's Paired Assistance Policy on the COVID-19 Crisis—An Empirical Case Study of Hubei Province

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