2020
DOI: 10.2139/ssrn.3755395
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Impacts of Covid-19 on Household Welfare in Tunisia

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Cited by 7 publications
(5 citation statements)
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“…The reason behind the screen was due to, as postulated on the above total sampled households 81.67% and 35.83% of their income were emanated from self-employee and non-formal (daily labor) wage, therefore as they did not work as usual or takes more leisure time their level of income was decreased. This finding is similar with [6,27]…”
Section: Leisure Timesupporting
confidence: 88%
“…The reason behind the screen was due to, as postulated on the above total sampled households 81.67% and 35.83% of their income were emanated from self-employee and non-formal (daily labor) wage, therefore as they did not work as usual or takes more leisure time their level of income was decreased. This finding is similar with [6,27]…”
Section: Leisure Timesupporting
confidence: 88%
“…It can be seen that GDP in several OIC member countries has decreased except for Egypt, which has increased from $303 billion to $363 billion, and Bahrain, for which GDP data is not yet known in 2020. Although tourism data (TA) at the World Bank in 2020 has not yet been published, it can be predicted that the decline in GDP in several OIC member countries is caused by a decrease in the number of tourists visiting Indonesia (Utami & Kafabih, 2021), Malaysia (Hamid et al, 2021), Albania (Burlea-Schiopoiu & Ozuni, 2021;Lazimi, 2021), Azerbaijan (Hajiyeva, 2021), Jordan (FAFO, 2021;Jordan Strategy Forum, 2021), Moroko (Cherkaoui et al, 2020), Maldives (Adam et al, 2020;UNDP, 2020), Sudan (Abbas et al, 2021East African Community, 2021), Tunisia (Kokas et al, 2021;Mansour & Salem, 2020) and Turki (Karadas, 2020;Kervankıran & Bağmancı, 2021). Although Egypt's GDP did not decline like other selected OIC member countries (chart 1), the Covid-19 pandemic also had a significant impact on the tourism sector in Egypt (Breisinger et al, 2020;Hamdy Ayad et al, 2020).…”
Section: Discussionmentioning
confidence: 99%
“…The discussion in this section highlights the criticality of local governments in managing COVID-19 through IMR. However, there is a dearth of pandemic-related data that can help us assess the effectiveness of local governments’ response to COVID-19 ( Park et al, 2020 , Abay et al, 2021 , Swinnen and Vos, 2021 , Kokas et al, 2020 ). Hence, we leverage the disaster and risk mitigation and crisis communication literature to investigate whether information management may act as a fulcrum of the local government response to COVID-19.…”
Section: Conceptual Frameworkmentioning
confidence: 99%