COVID-19 pandemic,health risks,and economic consequences: Evidence from China

This paper introduces the Susceptible-Infectious-Recovered model into the Bewley-type incomplete market model and uses it to study the impact of the coronavirus disease (COVID-19) pandemic on China's macroeconomics. The calibrated model predicts that the average propensity to consume household wealth will decline, while the demand for money will increase, and these predictions are consistent with the data. Monetary policy is effective because it provides enough liquidity for households to buffer health risks. Monetary stimulus is more effective in an economy with greater health risks and consumption uncertainty. Counterfactual experiments show that abandoning the containment policy too early would avoid a sharp drop in output and employment in the short term, but it would greatly increase mortality and ultimately lead to a decline in social welfare.     

Social Assistance Amidst the COVID-19 Epidemic in South Africa: A Policy Assessment

In an attempt to minimise the negative economic impacts of COVID-19 on vulnerable households the South African government allocated R50 billion in additional social assistance spending. The cash transfer package included a temporary increase in existing grants and introduced a new “Covid grant.” We assess the chosen package and compare it with an initial proposal to increase the Child Support Grant (CSG). Coverage, cost and welfare effects are calculated to measure the relative impacts in each case. We find that while a significant increase in the CSG delivers resources most progressively, the addition of the COVID-19 grant may potentially reach a much larger group of otherwise uncovered, vulnerable individuals. Critically, this extended coverage comes at a cost to the poorest households, via additional transfers to the upper income deciles. However, we identify several categories of vulnerable household groups which suggests that the workers most negatively affected by the pandemic are not necessarily those in the poorest households. The paper emphasises that social assistance to mitigate the consequences of COVID-19 should not be viewed necessarily as a standard poverty reduction exercise, but rather as an attempt to mitigate COVID-19-related income shocks for the vulnerable who were most negatively affected by the pandemic.     

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.     

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.     

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.     

The impact of the COVID-19 pandemic on global GDP growth

This paper describes one of the first attempts to gauge the effect of the COVID-19 pandemic on the global trajectory of real GDP over the course of 2020 and 2021. It is also among the first efforts to distinguish between the role of domestic variables and global trade in transmitting the economic effects of COVID-19. We estimate panel data regressions of the quarterly growth in real GDP on pandemic variables for 90 countries over the period 2020 Q1 through 2021 Q4. We find that readings on the number of COVID-19 deaths had a very small effect in our aggregate sample. On the other hand, changes in the stringency of the lockdown measures taken by governments to restrict the spread of the virus were an important influence on GDP. The economic effects of the pandemic differed between rich and poor countries: COVID-19 deaths exerted a somewhat greater drag on GDP in advanced economies, although this difference was not statistically significant, whereas lockdown restrictions were more injurious to economic activity in emerging and developing economies. In addition to these domestic pandemic effects, global trade represented a significant channel through which the economic effects of the pandemic spilled across national borders. This finding underscores how globalization makes each country vulnerable not only to medical contagion from the COVID-19 pandemic, but to economic contagion as well.     

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.     

Lights out? COVID-19 containment policies and economic activity

This paper estimates how strongly COVID-19 containment policies have impacted aggregate economic activity. We use a difference-in-differences methodology to estimate how containment zones of different severity across India impacted district-level nighttime light intensity, as well as household income and consumption. From May to July 2020, nighttime light intensity was 9.1 % lower in districts with the most severe restrictions compared with districts with the least severe restrictions, which could imply between 5.8 % and 6.6 % lower GDP. Nighttime light intensity was only 1.6 % lower in districts with intermediate restrictions. The differences were largest in May during the graded lockdown, and tapered in June and July. Lower house-hold income and consumption corresponding to zone-wise restrictions corroborate these results. Stricter containment measures had larger impacts in districts with greater population density, older residents, and more services employment. The large magnitudes of the findings suggest that governments should carefully consider the economic costs of country-wide pandemic containment policies while weighing the trade-offs against public health benefits. Keywords: Containment policies, COVID-19, Nighttime lights, India     

On the global COVID-19 pandemic and China’s FDI

The global COVID-19 pandemic has generated serious challenges for the world economy, including cross-border foreign direct investment (FDI). China’s inward FDI (IFDI) and outward FDI (OFDI) are also facing unprecedented risks and challenges. This paper first clarifies the timelines of the pandemic evolving in China, the US, and the rest of the world. It then reflects on China’s past development process of IFDI and OFDI, noting the growth of IFDI and highlighting the risks and challenges for OFDI during and after the pandemic. Empirical evidence for the impact of COVID-19 on FDI is set out. Policy recommendations are then made regarding China’s latest development strategy using the so-called dual circulation to sustain its economic growth with respect to cross-border FDI.     

The COVID‐19 Pandemic and Its Impact on the Global Economy: What Does It Take to Turn Crisis into Opportunity?

The COVID‐19 pandemic broke out at a time when there were heightened uncertainties in the global economy. Understanding these uncertainties provides an important background for analyzing the impact of the pandemic on the global economy, assessing the effectiveness of policy measures in combating the pandemic and reviving the global economy, and predicting the trajectory of the economic recovery in the post‐pandemic era. We analyze how COVID‐19 would likely deepen an existing malaise in the global economy, and what could be done to address these problems while managing the economic recovery. We argue that three fundamental factors that could lead to a solid recovery in the post pandemic era are structural reform, new technology and re‐integration. They could be managed by instituting a new “global social contract.” Supported by strong public policies at all levels, especially at national level, these three factors could bring about the salvation of the global economy as it recovers or re‐emerges from the pandemic crisis.     

“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.     

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.     

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.     

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.     

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.     

COVID-19-associated income loss and job loss: Evidence from Indonesia

COVID-19 pandemic has substantially altered socioeconomic conditions around the world. While numerous existing studies analyze the impact of the COVID-19 pandemic among developed states, little is known about its effects on people’s lives and social discrepancies in emerging economies. To this end, we empirically analyze the 2020 Indonesian Labor Force Survey data, hypothesizing that COVID-19 has given idiosyncratic risks and impacts on people by gender, age, education, occupation and regions. We find that income loss and job loss are prominent among males, younger and less educated people as well as among self-employed and part-time non-agricultural workers. These tendencies are not pronounced for people enjoying high income and mobility, but tend to be evident for urban residents and those having dependents. Notably, self-employed people have the highest risk of losing income, while part-time urban workers face the highest probability of losing their jobs. The propensity score matching method also demonstrates that these losses are most evident for the regions susceptible to COVID-19. Overall, we suggest that socioeconomically disadvantaged groups require additional support to strengthen their resilience in the face of exogenous shocks, such as the one caused by the global coronavirus pandemic.     

The Impact of COVID-19 on Chinese trade and production: An empirical analysis of processing trade with Japan and the US

The COVID-19 pandemic severely disrupted international trade, leading countries to grapple with product shortages and firms to experience major supply chain issues. These challenges increased production costs and significantly contributed to lower trade and higher inflation. In this paper, we examine the impact of COVID-19 on Chinese trade through its two main trading partners: Japan and the US. By differentiating products by product type and processing status, we find evidence that products in the middle of the global supply chain were most affected by the pandemic and that the severity of the shock depends on the partner country’s role in the global supply chain. Additionally, we find that Chinese exports are more impacted than Chinese imports, regardless of processing status. These findings are largely consistent with economic theory. Understanding that the effects of global shocks vary by product and country will help guide policies that minimize supply chain disruptions.     

Changes in women’s empowerment in the household,women’s diet diversity,and their relationship against the background of COVID-19 in southern Bangladesh

The COVID-19 pandemic in Bangladesh, associated public health measures, and people’s reactions were projected to have caused job losses among women, a decline in women’s empowerment and reduced women’s diet diversity. Using a November 2020 telephone survey to re-interview adult female respondents of a November 2019 in-person survey, contrary to expectations we find that more women found than lost jobs, and women’s diet diversity increased over the year partly marked by the COVID-19 pandemic. We did not find evidence of a decline in women’s involvement in food purchase decisions, nor women’s autonomy over use of household income. The change in women’s outside employment is neither statistically related to changes in women’s involvement in food purchase decisions, changes women’s autonomy over use of household income, nor changes in women’s diet diversity. Change in women’s involvement in food purchase decisions is positively related with change in women’s diet diversity and change in women’s autonomy over income use is negatively related with change in women’s diet diversity.     

Epidemic and Economic Consequences of Voluntary and Request-based Lockdowns in Japan

I examine the epidemiological and economic effects of two types of lockdowns during the COVID-19 pandemic in Japan: a voluntary lockdown by which people voluntarily stayed at home in response to the risk of infection, and a request-based lockdown by which the government requested people to stay at home without legal enforcements. I use empirical evidence on these two types of lockdowns to extend an epidemiological and economic model: the SIR-Macro model. I calibrate this extended model to Japanese data and conduct some numerical experiments. The results show that the interaction of these two types of lockdowns plays an important role in the low proportion of infectious individuals and the large decrease in consumption in Japan.     

Small business under the COVID-19 crisis: Expected short- and medium-run effects of anti-contagion and economic policies

This study makes a causal inference on the effects of anti-contagion and economic policies on small business by conducting a survey on Japanese small business managers’ expectations about the pandemic, policies, and firm performance. We first find the business suspension request decreased targeted firms’ sales by 10 percentage points on top of the baseline 9 percentage points decline due to COVID-19, even though the Japanese anti-contagion policy was in a form of the government’s request that is not legally enforceable. Second, using a discontinuity in the eligibility criteria, we find lump-sum and prompt subsidies improved firms’ prospects of survival by 19 percentage points. Third, the medium-run recovery of firms’ performance is expected to depend crucially on when infections would end, indicating that the anti-contagion policies could complement longer-run economic goals.