Sectoral Impact of COVID-19: Cascading Risks

Osotimehin, Sophie; Popov, Latchezar

doi:10.21034/iwp.31

Cited by 6 publications

(5 citation statements)

References 8 publications

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“…Further, we extend our analysis by splitting the sample of firms into essential and non‐essential good categories. Following Osotimehin and Popov (2020), we classify essential sector as food & beverage, chemicals & chemical products, and postal & telecommunication, while the remaining firms belong to the nonessential category. During the pandemic period, government has dealt differently with both categories of firms.…”

Section: Resultsmentioning

confidence: 99%

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Small firms amidst COVID‐19: Financial constraints and role of government support

2022

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The coronavirus disease 2019 has severely affected the financially constrained small and medium enterprises (SMEs).In response, various countries employed several policies to support SMEs. Using rich firm-level data from 34 countries, we study the impact of the pandemic-led crisis on cash-strapped SMEs and the role of governments in offsetting losses. Our results suggest that (i) government support programmes target mostly financially constrained firms; (ii) firms adjustments to the pandemic are associated with the likelihood of government support; (iii) financially constrained firms are more likely to lay off workers; and (iv) financially constrained firms layoff more male employees than female employees.

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Section: Resultsmentioning

confidence: 99%

“…Further, we extend our analysis by splitting the sample of firms into essential and non-essential good categories. Following Osotimehin and Popov (2020) 10 For the sake of brevity, we do not report the results of the OLS and are available on request from authors.…”

Section: Robustness Check and Further Analysismentioning

confidence: 99%

Small firms amidst COVID‐19: Financial constraints and role of government support

2022

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“…The occurrence of a worldwide pandemic affecting every community on earth has shown how geographical distances are becoming less relevant and the shadow of globalization shows us the reflection of its impact on the daily lives of people everywhere (Mas-Coma et al, 2020;Osotimehin and Popov, 2020). The pandemic also shows both communal and individual expressions of social solidarity among members of both rural and urban communities.…”

Section: Implications For Future Policiesmentioning

confidence: 99%

Impact of COVID-19 pandemic on the existence of social solidarity: evidence from rural-urban communities in Lombok Island, Indonesia

et al. 2023

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The COVID-19 pandemic that has hit the entire world since the beginning of 2020 is an unimaginable phenomenon. The pandemic is disastrous because it has caused loss of life and livelihood for a large part of the population. People lose their jobs, spaces for social interaction are closed, and social relationships are disrupted. Several studies show that social solidarity should be a major concern for people to sustain the future quality of their lives. Social solidarity dimensions in this study include gotong royong (local culture of mutual help), marriage banjars (local association), cooperation, and sharing of information. This study aims to examine the existence of social solidarity during the pandemic in rural and urban areas and to know the level of community exposure to COVID-19 in Lombok Island, Indonesia. This research adopted a quantitative approach to identify and analyse the existence of social solidarity in rural and urban communities during the COVID-19 pandemic. A set of questionnaires was distributed and shared by enumerators with 1,100 targeted-respondents from Lombok Island. The survey was carried out from 14th October to 28th October 2021, that is, during a recovery period from the pandemic while restrictions implemented by the government were still in full force. Chi square statistical analysis was used to test whether there were differences in social solidarity between those who lived in rural areas and those who lived in urban areas. This research found the existence of social solidarity in both rural and urban communities during the pandemic. The level of social solidarity in rural areas is higher than in urban areas. While related to the number of those who were exposed and died, conditions were higher in rural areas than in urban areas. However, in terms of the death rate, the level of death rate in urban areas is higher than in rural areas. This condition indicates differences in the characteristics of rural and urban communities, which can be considered in implementing policies during a future pandemic. This research provides evidence for local governments in formulating policies with a social solidarity perspective by taking into account the different characteristics of rural and urban communities.

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“…For the current situation of the COVID-19 pandemic, input-output tables are considered to be a visualization of policy activations. Osotimehin and Popov (2020) contributed a research paper using the I-O analysis for essential sectors facing higher health risk in the United States. Meanwhile, Cakmaklı et al (2020) quantify the macroeconomic impacts of COVID-19 for a small open economy in Turkey by using the I-O tables.…”

Section: Literature Reviewmentioning

confidence: 99%

The Perspective of Thailand Economy After the Effect of Coronavirus-19 Pandemics: Explication by Dynamic I-O Models and Agent-Based Simulations

2021

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The panic surrounding the COVID-19 pandemic has collapsed world economic systems. Thailand is no exception. Evidently, domestic-industrial activities in many countries have nearly stopped, and international sectors have abruptly disintegrated. Unemployment has become critical, and business viability has run into trouble. This article illustrates the potential solutions to these issues linked to Thailand’s domestic and international-trade economies by econometrically applying sectoral forecasting analyses and simulations because the pandemic has not only caused physical damage, but also a negative chain in worldwide economic systems. Methodologically, dynamic input-output (I-O) analysis is circumspectly employed to obtain foresight on some predominantly industrial sectors that could potentially rescue the Thai domestic economy from the depression of 2020–2022. The I-O tables are sourced from official data of the Asian Development Bank (ADB). For the international-trade scenario, the agent-based model and simulations are used to forecast the future trends of macroeconomic responses. The two methods, dynamic I-O models and agent-based simulations, are the current means capable of sensibly predicting macroeconomic responses for monitoring the upcoming years. The empirical outcomes can clearly predict upcoming events that will be beneficial for policy implementations.

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Sectoral Impact of COVID-19: Cascading Risks

Cited by 6 publications

References 8 publications

Small firms amidst COVID‐19: Financial constraints and role of government support

Small firms amidst COVID‐19: Financial constraints and role of government support

Impact of COVID-19 pandemic on the existence of social solidarity: evidence from rural-urban communities in Lombok Island, Indonesia

The Perspective of Thailand Economy After the Effect of Coronavirus-19 Pandemics: Explication by Dynamic I-O Models and Agent-Based Simulations

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