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Parental job loss has been shown to have a negative impact on a large number of children's outcomes, in particular for low-income children. Given the amount of time freed up by loss of employment and the fact that active time with one's children appears to be a productive input in their human capital production function, increases in the time parents spend with their children have the potential to positively impact a child or to counteract other negative consequences of parental job loss. This chapter studies how low- and higher-income parents change their time investment in their children when faced with job loss. Using national time-diary data from the American Time Use Survey (ATUS) linked to longitudinal labor market data from the Current Population Survey (CPS), I find that parents spend almost 15% of the time freed up by job loss – roughly 3.5 additional hours per week – actively with their children. Low-income parents invest their freed-up time no differently from higher-income parents. While mothers who lose their job respond by spending more time actively with their children, this adjustment is much smaller for fathers. This suggests that differential adjustments in time investment may play a role in the impact maternal versus paternal job loss has on children's outcomes.

Recent evidence on the impact of the crisis on developed countries shows that changes in income inequality and poverty have been relatively small in spite of the macroeconomic heterogeneity of the recession across different economies. However, when evaluating individual perceptions linked to the crisis any changes in the chances to scale up or lose ground in the income ladder are also crucial. Our aim in this paper is to analyze to what extent the recession has had an impact on individual equivalent incomes and, in particular, on the prevalence of downward mobility in two developed countries where job losses have been large. We find that income losses have increased, particularly in Spain, and while age and education are key determinants of the probability of experiencing an income loss in both countries, the presence of children only increases the probability of an income loss in Spain.

Given the scarcity of data during the early stages of the COVID-19 pandemic in China, the decision-making for non-pharmaceutical policies was mostly based on insufficient evidence. The purpose of this study is to assess the effectiveness of these policies, such as lockdown and government subsidies, on rural households and identify policy implications for China and other countries in dealing with pandemics.

The authors survey 2,408 rural households by telephone from 101 counties across 17 provinces in China during the first stage of the pandemic (March 2020). The authors use the ordered probit model and linear regression model to study the overall impact of policies and then use the quantile regression model and sub-sample regression method to study the heterogeneity of the effects of government policies.

The authors find that logistics disruption due to lockdown negatively affected rural households. Obstructed logistics is associated with a more significant loss for high-income households, while its impact on the loss expectation of low-income households is more severe. Breeding and other industries such as transport and sales suffer more from logistics than cultivation. The impact of logistics on intensive agricultural entities is more serious than that on professional farms. The government subsidy is more effective at reducing loss for low-income households. Lockdown and government subsidies have shown heterogeneous impacts on rural households.

The overall economic losses experienced by rural households in the early stages of the pandemic are controllable. The government policies of logistics and subsidies should target specific groups.

The authors evaluate the economic impacts of lockdown and government subsidies on rural households and show their heterogeneity among different groups. The authors further demonstrate the policy effectiveness in supporting rural households during the early stages of the pandemic and provide future policy guidance on major public health event.

This extensive extract from the proposed rules on how to disclose financial instruments and similar items in the income statement of banks and other financial institutions develops the thinking of the joint working group set up to prepare global standards in this field. The extract covers the critical issue of disclosure in the income statements of such organisations. As such it is the most comprehensive summation of the arguments involved yet produced.

In the early stage of the COVID-19 pandemic, Vietnam imposed many drastic restrictions to curb the outbreak of this virus. Such restrictions interrupted the normal functioning of various economic sectors, including agriculture. This research examined disruptions to agricultural activities, income loss and perceived food insecurity among farm households during the pandemic, and then explored the relationships among these economic factors.

Household data from Vietnam and Generalized Structural Equation Model (GSEM) were used for empirical analysis.

Descriptive analyses found that only a small proportion of farm households suffered from the COVID-19 disruptions to their agricultural activities, a large percentage experienced income loss, and a medium number were worried about their food insecurity. GSEM results also revealed that the COVID-19 disruptions to agricultural activities significantly increased the likelihood of worrying about food insecurity, mediated by income loss.

Due to data limitations, the authors could not use better indicators to define and measure the variables of interest (e.g. COVID-19 disruptions to agricultural activities, income loss and food insecurity). Another similar concern was that our models did not account for unobservables, causing some estimation biases.

This research is among the first attempts that examined the direct and indirect (mediated by income loss) effects of the COVID-19 disruptions to agricultural activities on food insecurity.

The purpose of this paper is to analyze the income structure of Islamic banks in the Gulf Cooperation Council (GCC) countries and to explore the effect of the diversification of banks' earning on risks that may harm these latter.

Using data from 2002‐2008 for 42 Islamic banks, this article provides descriptive and analytical analysis and multiple regression equations.

This article reveals that greater reliance on the income share of the profit‐loss‐sharing products is associated with higher risk and higher insolvency risk for both listed Islamic banks and non‐listed Islamic banks. However, no effect has been observed between the operation income of non‐profit‐losses‐sharing products and risk levels. That is why listed banks prefer to invest less in non‐profit‐loss‐sharing products than in profit‐loss‐sharing products.

Financial regulators in emerging Islamic financial market should help Islamic banks to find equilibrium between the expansion of the Islamic financial market and respect for the raison d'être of Islamic finance: the profit and loss sharing mechanisms.

To the best of the author's knowledge, this is the first article that empirically tests why Islamic banks prefer to invest less in profit‐loss‐sharing products. Also, this article contributes to studying the relationship between Islamic finance and risk.

This study aims to investigate the relationships between loan growth, loan losses and net income after the 2008 global financial crisis. This study further conducts a comparative analysis by considering the period of COVID-19.

This study uses panel data models such as one-step system GMM, random effects, fixed effects and OLS, with a data set of 131 Chinese commercial banks from 2009 to 2020.

The study finds no significant relationship between loan growth and future loan losses. However, after adjusting loan loss by net interest income (NII-adjusted loan loss), the study reveals that loan growth in the subsequent year decreases if NII-adjusted loan loss increases. The study also demonstrates the positive effect of loan growth on net income as newly expanded loans are funded at similar costs but offered at a lower rate compared with existing loans. During COVID-19, loan growth and net income were higher than in previous years.

The findings suggest that Chinese banks can increase lending to support the economy without sacrificing loan quality, emphasizing the importance of maintaining and enhancing credit policies and practices. Chinese banks should also continue to refine their pricing strategies for loans and deposits. The findings also imply that China's policy responses to the impact of COVID-19 could serve as lessons for future policy decisions.

The authors examine whether managers switch from artificial income smoothing using discretionary accruals to real income smoothing around corporate governance reform in Egypt.

The sample comprises 61 non-financial companies listed on the Egyptian Stock Exchange for the years 2004–2011. The authors use discretionary accruals as a proxy for artificial income smoothing and income/loss from asset sales as a proxy for real income smoothing.

The authors offer a significant contribution to accounting literature by providing new empirical evidence on the trade-off between real smoothing technique (e.g. income/loss from asset sales) and discretionary accruals around governance reform in a developing country.

This study suffers from some limitations. First, the study sample is limited to only 338 observations. However, this is due to collecting the data manually and to the small number of listed firms during the study period. Second, the study period ended in 2011 due to the unprecedented political instability after the 2011 Egyptian people revolution. Third, although this study examines the effect of corporate governance, not all the governance aspects have been examined in the study models due to the lack of data.

First, the results of the total samples reveal that managers prefer real income smoothing than accruals income smoothing. This result may confirm the literature arguments on the advantages of REM methods over AEM methods. Cohen et al. (2008) find that firms switch to manage earnings using REM methods and explain that REM methods are harder to detect because they depend on operating decisions (Schipper, 1989). REM can be undertaken anytime during the year (Gunny, 2010). Besides, REM could not be deemed a violation of accounting standards or regulations (MyVay, 2006).

The authors offer a significant contribution to accounting literature by providing new empirical evidence on the trade-off between real smoothing technique (e.g. income/loss from asset sales) and discretionary accruals around governance reform in a developing country.

The purpose of this paper is to determine the impact of private and public initiatives (financial literacy, entrepreneurship, remote work and government aid) on individual job loss and decrease in income during the COVID-19 pandemic in Peru.

The authors used an unbalanced panel data analysis with the National Household Survey for 2019–2020. The hypotheses are tested with a probit panel data model since the dependent variables are binary.

The study findings indicate that financial preparedness reduced the probability of having a decrease in income, but only to informal workers in metropolitan Lima. Furthermore, entrepreneurship helped mainly female informal workers to reduce their probability of becoming unemployed in metropolitan Lima. Besides, the implementation of remote work as a substitute of face-to-face work was not enough to avoid the decrease in income in the case of informal workers and it was only effective to avoid unemployment in the case of formal workers in metropolitan Lima. Finally, public aid proved to be instrumental in mitigating the decrease in income, but only to informal workers in Metropolitan Lima.

The study results only apply for the first year of the pandemic.

Policymakers should focus on increasing the financial preparedness of informal workers, especially in provinces.

Policymakers must expand unemployment benefits, and design public aid programs targeting informal workers in provinces.

This is the first study that analyses the impact of private and public initiatives on the decrease in income and unemployment situation of Peruvian individuals during the outbreak of the COVID-19 pandemic.