Sleeplessness in COVID-19 pandemic: Lockdown and anxiety

This paper investigates the sleeplessness in Chinese cities during the coronavirus disease 2019 (COVID-19) pandemic. We provide first evidence of a link from daily COVID-19 cases resulting in sleep loss in a panel of Chinese cities. We use Wuhan, which was the first city to be completely locked down, as basis to present the result that sleeplessness has become a considerably serious issue owing to the COVID-19 pandemic. In using the intervention policy of various cities as exogenous shocks, we find that lockdown policies significantly increase the sleeplessness level of Chinese cities. In addition, the severity of COVID-19 pandemic significantly exacerbates the negative effect of lockdown policies on sleep quality in the city. Overall, this study indicates that policy makers should pay more attention to public mental health when citizens recover from COIVD-19 by investigating the unintended consequences of COVID-19 on sleeplessness level of cities.     

Role of professionalism in response to the COVID-19 pandemic: Does a public health or medical background help?

In response to the outbreak of coronavirus disease 2019 (COVID-19), there have been substantial variations in policy response and performance for disease control and prevention within and across nations. It remains unclear to what extent these variations may be explained by bureaucrats' professionalism, as measured by their educational background or work experience in public health or medicine. To investigate the effects of officials' professionalism on their response to and performance in fighting the COVID-19 pandemic, we collect information from the résumés of government and Party officials in 294 Chinese cities, and integrate this information with other data sources, including weather conditions, city characteristics, COVID-19-related policy measures, and health outcomes. We show that, on average, cities whose top officials had public health or medical backgrounds (PHMBGs) had a significantly lower infection rate than cities whose top officials lacked such backgrounds. We test the mechanisms of these effects and find that cities whose officials had a PHMBG implemented community closure more rapidly than those lacked such backgrounds. Our findings highlight the importance of professionalism in combating the pandemic.     

The spatiotemporal evolution of COVID-19 in China and its impact on urban economic resilience

The spread of the novel coronavirus (COVID-19) has had a major political, economic, social, and cultural impact on various countries worldwide. Based on economic operation, public opinion, public health, government policies and population inflow in the affected areas, this study measures daily economic resilience during the COVID-19 outbreak in 286 prefecture-level cities in China (from 1^st January to 8^th February, 2020). Specifically, this study further investigates the economic resilience and the number of COVID-19 cases by analysing the evolutionary trend of their spatial distribution pattern using the standard deviation ellipse (SDE). The impact of COVID-19 on economic resilience is examined using a panel vector autoregressive model. The following are the findings. (1) The economic resilience value decreased throughout the study period, but the cities with high economic resilience showed a trend of spatial diffusion in the late study period. Wuhan’s lockdown strategy was benefit to control the spread of COVID-19, and promptly stopped the decline of China's economic resilience. (2) Economic resilience and the number of COVID-19 cases influenced their future trends positively, but this effect gradually decreased over time. During the COVID-19, although the number of confirmed cases significantly influenced China's economic resilience, and the disease's spread was evident, China maintained a high level of economic development resilience. (3) The rise in economic resilience during the pandemic's early stages promoted the number of confirmed cases, but the strength of this relationship gradually declined as the pandemic progressed. Returning to work and other activities may increase the risk of infection. Numerous policies implemented at the outbreak’ inception aided in laying the groundwork for economic resilience. Although the outbreak had a detrimental effect on economic resilience in the later stages of the pandemic, a convergent trend was observed at the end of the research period. (4) Using variance decomposition, we discovered that future economic resilience was significantly influenced by itself and by relatively few changes. However, the impact of confirmed cases on economic resilience becomes apparent after the fourth period. This indicates that the number of confirmed cases must be limited during the initial stages. The early support of various sectors in China facilitated the spatial expansion of economically resilient cities. The pandemic has a non-negligible negative impact on economic resilience, but this has been mitigated by Wuhan's timely closure.     

Out of the shadows: Impact of SARS experience on Chinese netizens' willingness to donate for COVID-19 pandemic prevention and control

While charitable donations help to raise funds and contribute to pandemic prevention and control, there are many unanswered questions about how people make such donation decisions, especially in countries like China where charitable donations have played an increasing role in recent years. This study contributes to the literature by assessing the potential impacts of Chinese netizens' experience with the 2002 severe acute respiratory syndrome (SARS) epidemic on their willingness to donate for COVID-19 pandemic prevention and control. Specifically, this study applies a difference-in-differences (DID) model to a dataset collected from a nationwide survey to examine how individuals' exposure to the SARS epidemic affects their willingness to donate to alleviate the COVID-19 pandemic. The results suggest that individuals' SARS epidemic experiences in their early lives, especially during the “childhood-adolescence” period, had a lasting and far-reaching impact on their willingness to donate toward COVID-19 pandemic prevention and control. Also, the impacts were likely heterogeneous by such sociodemographic factors as educational background, health status, and income level. The empirical findings highlight the importance of considering early-life experiences in developing and implementing epidemic prevention and control policies. While the SARS experience likely affected Chinese netizens' willingness to donate toward COVID-19 pandemic prevention and control, lessons learned from both the SARS epidemic and COVID-19 pandemic could be used to develop more effective public health education and prevention programs as well as to increase public donations for future pandemic prevention and control.     

Pandemic and employment: Evidence from COVID-19 in South Korea

Using two complementary approaches, this study examines the deterioration of the Korean labor market during the first 10 months of the global COVID-19 pandemic. Applying the synthetic control method, we first find that the COVID-19 outbreak has eliminated 1.1 million jobs (4.2% of nonfarm employment) nationwide in April 2020. However, a difference-in-differences approach shows that local variation in COVID-19 intensity, which captures the “regional” effect of the pandemic, explains only 9% of the national shock. The portion of the regional effect remains low until December. This is mainly because the nationwide fear and policies such as social distancing measures also have a “common” effect on local economies. Our findings suggest that the COVID-19 shock may last long in the labor market due to this common effect unless the risk of infection is completely eliminated.     

Determinants and effects of the use of COVID-19 business support programs in Japan

Using a survey of and financial data for Japanese small- and medium-enterprises (SMEs), this paper examines the determinants of firms’ use of the business support programs provided by the Japanese government during the COVID-19 pandemic and their effect. With respect to the determinants, we obtain the following three findings: First, firms were more likely to have obtained subsidized loans, grants, or subsidies the more their sales had fallen during the pandemic, suggesting that funds flowed to firms that were adversely affected by the pandemic. Second, the likelihood that firms obtained funds was higher if their credit scores were lower or if they were classified as “zombies” and/or “low-return borrowers” before the pandemic, suggesting that the government programs also helped firms that had been under-performing before the pandemic. Third, firms were more likely to receive funds if they had a stronger relationship with their main bank before, suggesting that bank relationships play an important role in firms’ access to government programs. Regarding the causal effects, we obtain the following three findings: First, except for the subsidies for employment adjustment, the support programs increased the cash holdings of user firms. Second, subsidized loans from private financial institutions lowered exit rates, while none of the programs had a significantly positive effect on employment relative to non-users (or in absolute terms). Third, the credit scores and profit-to-sales ratio of firms that used the support programs decreased and the likelihood of such firms being a zombie and/or a low-return borrower increased. Overall, our findings provide a cautionary tale in that the business support programs produced mixed results in that they may have prevented business failures but have also helped to prop up firms that are not viable in the long run.     

COVID-19 impact on firm investment—Evidence from Chinese publicly listed firms

The COVID-19 outbreak had a significant impact on business cash flows and investment activities. This paper examined the COVID-19 impact on Chinese business investment in 3326 A-share listed quarterly financial reports, from which it was found that the negative relationship was more pronounced in the large, eastern Chinese state-owned firms. Using a propensity score matching method and difference-in-differences estimation, corporate financial flexibility was also examined, with the results indicating that high cash flexibility provided a buffer that allowed firms to better deal with adverse external shocks as the firms that had high cash flexibility were able to significantly increase their investments after the COVID-19 outbreak. Various robustness tests were conducted, all of which verified the robustness of the results. Overall, the empirical results provided evidence that the COVID-19 pandemic in China had a negative impact on Chinese listed firms, and verified the vital role of flexible financial reserves for firm survival and development during crises.     

Coming out of the pandemic: What have we learned and what should we learn?

In this editorial, we reviewed the articles collected in the special issue "Economics of Pandemic Disease" along with other relevant literature. We found that the pandemic has had a devastating impact on the economy as a whole and on small and medium-sized enterprises (SMEs) and private firms in particular, which may have deepened the economic inequality and impeded poverty reduction in China. The pandemic also resulted in substantial damage to the mental health and well-being of the Chinese population, with a disproportionate impact on minorities, including the female and the illiterate. We also examined the available evidence regarding the effectiveness of China's policy responses to the COVID-19 pandemic, which suggested that China's zero-Covid policy succeeded in stabilizing its economy and maintaining a safe environment in earlier phases of the pandemic, but hardly achieved a balance between disease control and economic growth in the later stage when less fatal but more transmissive coronavirus variants emerged. Lastly, we discussed policy options that China may take to protect the health of its people and avoid a potentially substantial loss of lives during the transition toward the post-pandemic new normal, which include prioritizing the timely administration of effective vaccines among the elderly and vulnerable populations, improving public communications regarding when and how to seek medical help, and strengthening the surge capacity of the healthcare systems, especially in less developed regions.     

The macroeconomic impacts of the COVID-19 pandemic: A SIR-DSGE model approach

This paper proposes a susceptible-infected-removed dynamic stochastic general equilibrium (SIR-DSGE) model to assess the macroeconomic impact of the recent COVID-19 outbreak. The parameters of the SIR setting are calibrated to COVID-19 data from China. Using the model, we illustrate how the pandemic could result in consumption and output loss. We show that a combination of quarantine policy and random testing of the uninfected is effective in reducing the number of infected individuals and outperforms the alternative scenarios in which only one of the policies is implemented. Moreover, the economic impacts of both policies are evaluated. Compared with the decentralized equilibrium, we find that the Ramsey social planner allows output to decrease more substantially during the pandemic, in exchange for a faster economic recovery.     

COVID-19 and the employment gender gap in Japan

This paper examines how the COVID-19 pandemic affected female employment in Japan. Our estimates indicate that the employment rate of married women with children decreased by 3.5 percentage points, while that of those without children decreased by only 0.3 percentage points, implying that increased childcare responsibilities caused a sharp decline in mothers’ employment. Further, mothers who left or lost their jobs appear to have dropped out of the labor force even several months after school reopening. In contrast to women, the employment rate of married men with children was not affected, which hindered progress in narrowing the employment gender gap.     

数字金融如何赋能中小企业绿色投资？——来自沪深A股中小企业的证据

以2012—2021年沪深A股上市中小企业为研究对象，通过双向固定效应模型探讨数字金融对中小企业绿色投资的影响及作用路径。研究结果表明，数字金融有效地促进了中小企业绿色投资，融资约束在其中发挥了部分中介作用，即数字金融通过缓解中小企业面临的融资约束，进而促进了企业绿色投资，并通过了稳健性检验。研究还发现，数字金融对国有企业绿色投资的作用更为明显。最后，从政府和企业管理者两个角度提出相应建议。     

“The better you feel,the harder you fall”: Health perception biases and mental health among Chinese adults during the COVID-19 pandemic

The health risks of the current COVID-19 pandemic, together with the drastic mitigation measures taken in many affected nations, pose an obvious threat to public mental health. To assess predictors of poor mental health in the context of the COVID-19 pandemic, this study first implements survey-based measures of health perception biases among Chinese adults during the pandemic. Then, it analyzes their relation to three mental health outcomes: life satisfaction, happiness, and depression (as measured by the CES−D). We show that the health overconfidence displayed by approximately 30% of the survey respondents is a clear risk factor for mental health problems; it is a statistically significant predictor of depression and low levels of happiness and life satisfaction. We also document that these effects are stronger in regions that experienced higher numbers of confirmed COVID-19 cases and deaths. Our results offer clear guidelines for the implementation of effective interventions to temper health overconfidence, particularly in uncontrollable situations like the COVID-19 pandemic.     

Pandemic and insurance purchase: How do people respond to unprecedented risk and uncertainty?

We investigate how people insure themselves against an upsurge of risk and uncertainty during a pandemic. Using high-frequency, city-level insurance purchases data from the largest online insurance platform in China, we employ difference-in-differences strategies to quantify changes in insurance purchases before and after the COVID-19 outbreak relative to a corresponding period in 2019. We show that the pandemic induces a substantial increase in daily number of insurance purchase, with evident impact on both health and life insurance. We demonstrate that the increase mainly originates from an expanded number of consumers; and is not driven by compositional shifts. Particularly, we show that the observed increase is better explained by pandemic risk exposure than other mechanisms such as negative emotions and insurance awareness. Nevertheless, there is a notable discrepancy between changes in insurance purchases and COVID-19 risk exposure, which is driven by individuals' lack of information on pandemic. We find that the more direct and high-quality information people have, the more likely their decisions are to accord with the objective risk exposure. These findings reveal the key driving forces of the risk management responses under an unprecedented pandemic, and point to the importance and necessity of public information disclosure.     

The impact of COVID-19 on employment and income of vocational graduates in China: Evidence from surveys in January and July 2020

The COVID-19 pandemic shocked the economy of China in early 2020. Strict lockdown measures were implemented nationwide to prevent the further spread of the virus. During the lockdown period, many economic activities were affected, which had repercussions for the nation's overall employment. Vocational graduates were among the most affected by the crisis. To estimate the causal effects of COVID-19 on the full-time employment of vocational high school graduates as well as their monthly income and hours worked by week, we exploit variations in the intensity of the pandemic in time and across space using survey data from vocational schools from six provinces in China. The results of the difference-in-differences (DID) estimates indicate that being located in counties with high pandemic intensity significantly reduced both the employment in full-time jobs of vocational graduates as well as their monthly income. Our study's analysis demonstrates that the effects of COVID-19 on the labor market can be attributed to the large-scale contraction of labor demand of the enterprises that were hiring vocational graduates. To cope with this situation, vocational graduates took various measures, including reducing consumption, drawing on their savings, searching for new jobs, taking on part-time jobs, borrowing money, and attending new training programs. In addition, the empirical analysis finds that there were heterogeneous effects with respect to gender, family social capital, the industry in which the vocational graduate was participating, and whether the individual was in a management position.     

How the COVID-19 pandemic affects job sentiments of rural teachers

This study investigates how the COVID-19 pandemic has affected teachers' job-specific stresses and their enthusiasm for the teaching occupation. We use unique data from China that cover the periods before and after the start of the pandemic and apply various estimation methods. We find that, among rural young teachers, the pandemic has caused higher teaching stress and career development stress and has reduced passion toward the teaching occupation. We investigate the working channels of the pandemic, including changes in job-related activities and social network. After controlling for possible working channels, the COVID-19 pandemic still shows a strong direct impact on job sentiments.     

Education signaling,effort investments,and the market's expectations: Theory and experiment on China's higher education expansion

China's higher education expansion has led to significant changes in younger generations' educational investments and labor market outcomes, and this trend is expected to continue due to the recent post-graduate education expansion in response to economic challenges posed by the COVID-19 pandemic. This paper investigates the impact of higher education expansion on labor market participants' choices, beliefs, and learning effects through an extended education signaling model, and uncovers the behavioral patterns in response to this policy change using a laboratory experiment. We find that subjects playing the role of workers generally follow a threshold strategy, and the changes in their effort investments and received wages after the enrollment expansion are consistent with the theoretical prediction. Using a hierarchical clustering method, we estimate different types of empirical strategies adopted by the subjects. In the low-enrollment treatment, the three types of empirical strategies are more distinct, and there is a strong tendency for effort over-investment by low-ability workers and under-investment by high-ability workers. In the high-enrollment treatment, the distinction between the estimated strategy types becomes much smaller. An analysis using elicited beliefs suggests that effort over-investment stems from workers' inconsistent beliefs regarding firms' wage offers — this inconsistency persists even in the last few periods of the game. Our findings provide a belief-based explanation for the discussion on over-education and are of great policy relevance.     

The impact of COVID-19 on international trade: Evidence from the first shock

This study investigates how the effects of COVID-19 on international trade changed over time. To do that, we explore monthly data on worldwide trade from January to August in 2019 and 2020. Specifically, our study data include the exports of 34 countries to 173 countries. We estimated the gravity equation by employing various variables as a proxy for the COVID-19 damage. Our findings can be summarized as follows: First, regardless of our measures to quantify the COVID-19 pandemic, we found significantly negative effects of COVID-19 on the international trade of both exporting and importing countries. Second, those effects, especially the effects of COVID-19 in importing countries, tended to become insignificant since July 2020. This result implies that the harmful impacts of COVID-19 on international trade were accommodated after the first wave of the pandemic to some extent. Third, we found heterogeneous effects across industries. The negative effects on non-essential, durable products persist for a long time, whereas positive effects in industries providing medical products were observed.     

The COVID-19 pandemic and the world trade network

Global trade suffered a significant contraction in 2020 as a result of the COVID-19 pandemic, and its growth is expected to remain below the pre-pandemic trend. Did the relative importance of countries in the world trade network change as a result of the pandemic? The answer to this question is particularly important for the Association of Southeast Asian Nations (ASEAN) countries because of their relative importance in world trade as well as their strong trade linkages with China, where the COVID-19 virus originated. This paper examines how the world trade network has changed since the COVID-19 pandemic, with a particular focus on ASEAN countries. Tracking the changes in centrality from January 2000 to March 2021, we find no evidence for most ASEAN and major trading countries that centrality changed significantly after the pandemic began. Our results suggest the resilience of the trade pattern for these countries.     

中小企业融资约束对R&D投入的影响分析——基于门限效应模型

以2012-2017年深圳证券交易所中小企业板上市且披露研发投入数据的中小企业为样本,通过建立回归方程,检验我国中小企业融资约束对R&D投入是否存在影响,以及中小企业融资约束对R&D投入的影响是否存在门限效应。研究发现：中小企业R&D投入存在一定程度的融资约束。同时,中小企业融资约束与R&D投入之间存在着门限效应。在以融资约束为门限变量时,企业融资约束对R&D投入影响呈现出显著的双重门限效应,且门限值分别为10.3209和11.0744。     

Impacts of the COVID-19 crisis on single-person households in South Korea

Using nationally representative income and expenditure data from South Korea, we show that single-person households suffered a much greater decrease in household income and expenditure compared to multi-persons households during the COVID-19 pandemic in 2020. Negative effects on income were largest for the single-person households in ages 50—64, mostly driven by decreases in earned income rather than business income. There was no corresponding decrease in consumption expenditures, however, other than on transportation expenditure for young men. Notably, there were significant decreases in non-consumption expenditures that are related to formal and informal consumption-smoothing mechanisms, such as spending on insurances, pensions, and household transfers. Our findings highlight the disproportionately negative effects of the COVID-19 pandemic on the middle-aged single-person households. With reduced spending on consumption-smoothing mechanisms, this group is likely to be even more vulnerable to negative income shocks in the future.