The hit of the novel coronavirus outbreak to China's economy

Broke out at the end of 2019, the novel coronavirus pneumonia (COVID-19) has been spreading throughout the world, leading to more than 87 million confirmed infections and 1.88 million fatalities. Motivated by this, we evaluate the economic impacts of COVID-19 outbreak on both national and industrial levels by employing quarterly computable general equilibrium (CGE) model. Our results reveal that the epidemic may lower China's economic growth in 2020 by 3.5%, versus 4.4% for final consumption (relative to baseline). The service industry suffers the most from the outbreak, and the Accommodation-Food-Beverage service, Wholesale-Retail Trade, and Transport-Storage-Post are identified as the most vulnerable sectors, with the negative impact on output reaching as high as 14.6%. When moving to 2021, the hit to economy shrinks to 2% (1.2–2.7%), with industry estimated to be the most affected sector instead. This study indicates that implementing effective measures for preventing and controlling the epidemic and policies for post-disease economic recovery play critical role in curbing the potential economic damage.     

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.     

Deflating China's nominal GDP: 2004–2018

This paper is a preliminary attempt to use both the value added approach with double deflation and the expenditure approach to deflate China's nominal GDP over 15 years (2004–2018). The results show that China's real GDP growth during the period has significantly more fluctuations than the official statistics indicate. Additionally, inflation, as measured by the official implicit GDP deflator, is generally overestimated during boom years but underestimated during downturn years. In particular, it is shown that China's growth slowdown in recent years before the COVID-19 pandemic may have been more severe than official figures suggest.     

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.     

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 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.     

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 effectiveness and costs of nonpharmaceutical interventions for COVID-19 containment: A border discontinuous difference-in-difference approach

We examine the effectiveness and costs of alternative nonpharmaceutical interventions (NPIs) for COVID-19 containment. Using a border discontinuous difference-in-difference approach, we find that the enforcement of rigid NPIs reduces the number of new COVID-19 cases by 10.8% in China, comparied with cities with less NPIs. Among the three NPIs, contact tracing is much more effective than the other two NPIs, namely, public information provision and social distancing. The connections of mayors to the upper-level politicians reinforce the city's implementation of rigid NPIs. These networks also serve as an informal signaling channel to the neighboring cities, encouraging the adjacent cities to impose strict NPIs to curb the spread of COVID-19. We further estimate the long-term costs of the NPIs – a net present value of 2153 yuan per child in the human capital loss attributed to more prolonged school closure alone.     

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.     

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.     

Is international tourism responsible for the outbreak of the COVID-19 pandemic? A cross-country analysis with a special focus on small islands

This article aims at analysing the role of international tourism attractiveness as a potential factor for the outbreak and the early spread of the recent COVID-19 disease across the world (also called the first wave) with a special focus on small Island economies. Econometric testing is implemented over a cross-country sample including 205 countries/territories (with 59 small islands) after controlling for several usual suspects. The results state a positive and significant relationship between COVID-19 prevalence and inbound tourism arrivals per capita. Thus in the early stages of the spread (before travel restrictions), international tourism could be seen as one of the main responsible factors for the recent pandemic, validating the “tourism-led vulnerability hypothesis”. Accordingly, considering that such health shocks should be more frequent in the near future, this finding suggests that the tourism specialization model in the context of small islands is too vulnerable to be considered as sustainable in the medium and long-run. Policymakers must opt for economic diversification when possible. Otherwise, building up a strong public-health system alongside a specialized tourism sector is required.

     

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.     

High‐speed Rail and Urban Economic Growth in China after the Global Financial Crisis

High‐speed rail (HSR) has been an important driver of China's economic expansion over the last decade. Using data of 285 prefecture‐level cities over 2010–2014, this paper proposes an endogenous economic growth model to explain how and why HSR may have propelled China's economic growth by reducing the time‐space between cities. The research results show that HSR has a potent effect on urban economic growth and regional convergence. Ceteris paribus, HSR appears to have accelerated economic growth by more than 0.6 percent and the pace of regional economic convergence by approximately 2 percent per annum over the data period. Our research findings have important policy implications for the sustainability of China's economic development, backed by HSR.     

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.     

China： Unscathed through the Global Financial Tsunami

This paper investigates the reasons behind the resilience of China＇s economy to the global financial tsunami. China ＇s economy is lowly leveraged in its banking, household, public and external sectors and, therefore, is less plagued by the global deleveraging than most developed economies. Chinese domestic sectors have improved significantly over the past decade, giving them larger capacity to cope with external shocks than during the Asian financial crisis a decade ago. Contrary to the conventional wisdom that China＇s economic growth is highly dependent on exports, we find that the main growth engine for China is domestic demand. Destocking, rather than falling exports, was the main cause of the sharp economic slowdown in China in late 2008 and early 2009. Therefore, the global economic slowdown should have limited impact on China＇s economy. We forecast a sustained eeonomic recovery in China in 2009-2011, with real GDP growth exceeding 10 percent in 2010.     

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 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.     

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.     

Understanding China's Economic Growth from a Regional Policy Perspective

There has been ongoing interest in China's economic growth. What were the drivers of China's economic growth in past years? What policies were used to promote China's economic growth? Although different lenses may be used to understand and explain China's economic growth, this paper draws on historical, theoretical, and empirical perspectives to discuss the nexus between China's regional policies and economic growth. First, we review the evolution of China's regional policy and the policy's changing emphasis in different development stages, from balanced, unbalanced, and coordinated development to synergistic development. Then we construct a theoretical model to illustrate the impact of regional policy on the local economy and conduct an empirical examination with a case study of regional policy using regression discontinuity design. This paper analyzes the concept of regional policy and the underpinning logic of economic growth and presents practical approaches to formulate a better regional policy framework.     

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.