Search results

This paper examines the effect of lockdown on a firm's financial performance. The authors aim to fill in the debate over the corporate world's repercussions from governments' COVID-19 response. Therefore, it is imperative to understand what effect the lockdown policy has on firm financial performance.

The study data are cross-sectional, covering a sample of 246 listed firms in Indonesia. The lockdown policy and period data were retrieved from the Indonesian Ministry of Health COVID-19 special task force website. The authors’ empirical model for performance specification is based on annual data, following a common performance function in economics and finance literature. In addition to controlling for the standard error and province effect, the authors also controlled the COVID-19 cases and the province effect.

The lockdown deteriorates the firm's profitability, but it is not up to making the firms at financial distress level. Simply put, lockdown erodes the profitability significantly, leading to declining performance; however, it does not mean the firms generate default.

Several shortcomings in the authors’ empirical setup need to be tackled for future research. For example, the study findings may limit the short-run effect but not the long-run effect (5–10 years after the pandemic). The findings also do not give room to justify that lockdown should not be imposed due to its deteriorating effect on the corporate world. Therefore, the authors leave this as a scope for future research.

This research is among the pioneer papers evaluating the effect of the government policy for mitigating the repercussions of COVID-19, and it reveals how this policy affects corporations.

This article analyzes the challenges Finnish single mothers experienced in their everyday lives during the COVID-19 pandemic. In studies on challenges to family life during COVID-19 lockdowns, single-parent families remain a largely understudied group.

The authors apply triple bind theory and ask how did Finnish single mothers manage the interplay between inadequate resources, inadequate employment, and inadequate policies during lockdown in spring 2020? These data come from an online survey including both qualitative and quantitative questions which was conducted between April and May 2020 to gather Finnish families' experiences during lockdown. This analysis is based on the qualitative part of the survey.

This study's results show that lockdown created new inadequacies while also enhancing some old inadequacies in the lives of Finnish single mothers. During lockdown, single mothers faced policy- and resource-disappearances; accordingly, they lost their ability to do paid work normally. Furthermore, these disappearances endangered the well-being of some single mothers and their families.

This article contributes to the wider understanding of everyday lives of single mothers and the challenges COVID-19 pandemic created. Moreover, this study provides knowledge on the applicability of the triple bind theory when studying the everyday lives of single mothers.

Taking a global perspective, this paper aims to examine the impact of COVID-19 on Airbnb booking activities through three critical perspectives – the initial Wuhan lockdown, local COVID-19 cases and local lockdowns.

Using Airbnb reviews and cancellations as proxies for Airbnb bookings on a global scale, econometrics was used to examine the impacts of the initial Wuhan lockdown, local COVID-19 cases and local lockdowns on Airbnb bookings.

The authors find that local lockdowns result in a 57.8% fall in global booking activities. Every doubling of newly infected cases is associated with a 4.16% fall in bookings. The sensitivity of bookings to COVID-19 decreases with geographic distance to Wuhan and increases with government stringency of lockdown policies and human mobility within a market.

The empirical evidence from this research can provide governments with insights into more accurate assessment of the financial loss of Airbnb hosts so that proper support can be offered based on the financial needs because of due to sudden lockdown.

This research contributes to new knowledge on peer-to-peer accommodation during a time of crisis and provides much needed global evidence to understand the impacts of COVID-19 on the accommodation industry.

The purpose of this study is to assess the potential economic cost of the COVID-19 pandemic on China's macroeconomy and agri-food system and provide policy recommendations to stimulate economic growth and agri-food system development.

An economy-wide multisector multiplier model built on China's most recent social accounting matrix (SAM) for 2017 with 149 economic sectors is used to assess the impact of COVID-19 on China's macroeconomy and agri-food system. SAM multiplier analysis focuses on supply chain linkages and captures the complexity of an interconnected economy.

The paper finds that both the macroeconomy and agri-food systems are hit significantly by COVID-19. There are three main findings. First, affected by COVID-19, GDP decreased by 6.8% in the first quarter of 2020 compared with that in 2019, while the economic loss of the agri-food system is equivalent to 7% of its value added (about RMB 0.26 trillion). More than 46m agri-food system workers (about 27% of total employment) lost their jobs to COVID-19 in the lockdown phase. The COVID-19 affects the employment of unskilled labor more than that of skilled labor. Second, when the economy starts to recover during the second and third quarters, the growth rate in the value added of the agri-food system turns positive but still modest. Many jobs resume during the period, but the level of agri-food system employment continues to be lower than the base. The agri-food system employment recovery is slower than that of other sectors largely due to the sluggish recovery of restaurants. Agri-food system employment drops by 8.6m, which accounts for about 33% of the total jobs lost. Third, although the domestic economy is expected to be normal in the fourth quarter, external demand still faces uncertainties due to the global pandemic. The agri-food system is projected to grow by 1.1% annually in 2020 with resuming export demand, while only by 0.4% without resuming export demand. These rates are much lower than an annual growth rate of 4.3% for the agri-food system in 2019. The results also show that, without resuming export demand, China's total economy will grow less than 1% in 2020, while, with export demand resumed, the growth rate rises to 1.7%. These rates are much lower than an annual GDP growth rate of 6.1% in 2019.

The results show that continuously reducing economic dependency on exports and stimulating domestic demand are key areas that require policy support. The agri-food system can play an important role in supporting broad economic growth and job creation as SMEs are major part of the AFS. Job creation requires policies to promote innovation by entrepreneurs who run numerous SMEs in China.

This paper represents the first systematic study assessing the impact of COVID-19 on China's agri-food system in terms of value added and employment. The assessment considers three phases of lockdown, recovery and normal phases in order to capture the full potential cost of COVID-19.

This paper aims to study individuals’ information service satisfaction during the COVID-19 pandemic lockdown in China’s urban communities.

The researchers analyse people’s uncertainties during the pandemic and argue that uncertainties caused by the lockdown can negatively affect people. By reducing people’s uncertainty during the pandemic, community staff members can improve individuals’ information service satisfaction and social order. This study constructs a conceptual model that includes key transparency and self-disclosure constructs and their relationships that can contribute to the trust and satisfaction of the community information service phenomenon. The researchers collected 489 responses to test their hypothesis from an online survey of Chinese residents in areas where the strict lockdown policy was implemented.

The empirical results show that policy and goods information transparency significantly affect information service satisfaction in a positive way, with goods information transparency having the highest impact. Second, self-disclosure of community staff members is also an effective way to increase information service satisfaction. Finally, trust plays a mediating role in the influence of information transparency and self-disclosure on information service satisfaction.

This paper innovatively uses uncertainty reduction theory to examine the effects of information transparency and self-disclosure on satisfaction with community information services. It expands the research in the field of information service satisfaction and extends the scope of the research subjects of self-disclosure.

In exploring how small and medium-sized enterprises (SMEs) overcame COVID-19 restrictions by deploying their specific dynamic capabilities to pivot their business models, this article explains the novel approaches that SMEs take and how they have responded to the financial challenges that arose from the pandemic.

The article adopts a dynamic capabilities lens to explain: (1) the specific financial effects of the relatively “short” (seven week) COVID-19 lockdown during March and April 2020 on SMEs; (2) the barriers they faced; and (3) how they overcame these barriers. The data were collected via semi-structured interviews with the owner-manager or a senior manager in each surveyed SME. The interview data were analysed using NVivo.

Analysis of the findings revealed five key factors: (1) the capability of SMEs to access external resources, especially entrepreneurial finance; (2) their ability to reconfigure resources and plan for the longer term, yet retain flexibility; (3) how entrepreneurial learning provided the capability to deal with the “unplanned” events/uncertainty; (4) the importance of networking and sources of information; and (5) the remarkable optimism for a future recovery, despite the difficulties of the trading period.

This research fills a unique niche, as no previous studies have examined the resilience and dynamic capabilities of SMEs during a complete lockdown and business shutdown of this magnitude. This context, unprecedented in the history of modern economies, offers a new lens through which to understand the mechanisms of business survival and adaptation in times of severe disruptions. No previous studies have been conducted in unique circumstances during a time when SMEs were faced with such a strict lockdown with travel and business completely shut down.

This paper examines the socio-economic impact of COVID-19 and the policy response in African countries.

This study uses discourse analysis to analyse the socio-economic impact of COVID-19 in Africa.

The findings reveal that African countries have been affected by the coronavirus pandemic, and the effect was more severe for African regions compared to other regions. The rising pandemic affected social interaction and economic activities through the imposed social distancing policies that have different levels of strictness in several African countries

The implication of the findings is that social policies can affect the social and economic well-being of citizens. Secondly, the coronavirus outbreak has revealed how a biological crisis can be transformed to a sociological subject. The most important sociological consequence of the coronavirus outbreak for African citizens is the creation of social anxiety among families and households in the region. The outbreak has also shown how vulnerable African societies are in facing health hazards. Policymakers should enforce social policies that unite communities in bad times, to reduce social anxiety.

This is the first paper that explore the socio-economic impact of coronavirus and the policy response in African countries.

The COVID-19 pandemic was particularly challenging for developing countries because of pre-existing poverty and severe inequality. Governments tended to set public safety as a primary goal, but it could not be their singular goal. Broadband was an important feature of any policy solution. Business lockdowns, school closures, and social distancing led to an unprecedented acceleration in the demand for broadband. But the government restrictions on social and economic interactions made it difficult to maintain and expand broadband networks. Governments might have let markets work out this challenge of escalating demand and increasing costs of supply, but few did. Governments quickly grew to believe that it would need cooperative relationships among multiple government agencies and private businesses to answer what appeared to be a broadband shortage. Regulatory controls over broadband providers were quickly suspended in favour of developing common goals and coordinated efforts. These approaches proved effective, although citizens continued to suffer from the pandemic.

The purpose of this paper is to reflect on how climate change risk reporting might evolve in various world regions in the post COVID-19 pandemic era.

Using a multiple-case study approach and adopting an institutional theory lens, we assess whether the pandemic is likely to strengthen or weaken institutional pressures for climate change risk disclosures and predict how climate-related risk reporting will evolve post-pandemic.

The authors find that climate change risk reporting is likely to evolve differently according to geographical location. The authors predict that disclosure levels will increase in regions with ambitious climate policy and where economic stimulus packages support sustainable economic recovery. Where there has been a weakening of environmental commitments and economic stimulus packages support resource intensive business, climate change risk reporting will stagnate or even decline. The authors discuss the scenarios for climate change risk reporting expected to play out in different parts of the world.

The authors contribute to the nascent literature on climate change risk disclosure and identify future directions in the wake of the COVID-19 pandemic.

This study aims to evaluate papers that discuss the stock market during the COVID-19 pandemic to discover lessons that may be beneficial for coping with similar situations in the future.

This study used the review procedures following Hoque (2014) with modifications, including co-words analysis to map themes. The articles to be reviewed were identified by entering the search keywords “capital market” AND “Covid” and “stock market” AND “Covid” in the Scopus database. After applying a set of criteria, 89 articles were used in the subsequent analysis. The country setting and study findings are recognized, and the lessons learned are further determined.

As COVID-19 has been designated a global pandemic by the WHO, and its impact is seen in many countries, the setting adopted by many researchers includes two or more countries (i.e., “International”). Six clusters of themes are identified, namely, market responses, spillover/contagion, investor sentiment, investor herding, policy and asset intensity. In this way, the lessons gained cover several stock market elements, including the market, industry, investors, government and companies.

Given the importance of understanding the COVID-19 pandemic and the relevance of the stock market in indicating its severity, to the best of the authors’ knowledge, there has been no literature review research on the stock market during COVID-19. Furthermore, this study also defines what lessons can be drawn.