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A dataset of governments' economic responses to COVID-19.

ABSTRACT: We introduce a new dataset of ten economic measures in percentage of gross domestic product implemented by governments worldwide between January 2020 and June 2021 to fight COVID-19. The measures coded include fiscal measures (wage support, cash transfers, in-kind transfers, tax cuts, sectorial support and credit schemes), tax deferrals, off-budget measures, and main policy rate cuts. The data can be used to study the impact of economic measures on different outcomes, and to understand the diffusion of economic policies during crises.

SUBMITTER: Porcher S

PROVIDER: S-EPMC9969749 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature

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A dataset of governments' economic responses to COVID-19.

Porcher Simon S

Data in brief 20230227

We introduce a new dataset of ten economic measures in percentage of gross domestic product implemented by governments worldwide between January 2020 and June 2021 to fight COVID-19. The measures coded include fiscal measures (wage support, cash transfers, in-kind transfers, tax cuts, sectorial support and credit schemes), tax deferrals, off-budget measures, and main policy rate cuts. The data can be used to study the impact of economic measures on different outcomes, and to understand the diffu ...[more]

PMID: 36879605

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Project description:Municipalities in Lebanon represent local governments at the basic community level. The proximity of the municipality to the local community and its knowledge of available resources, can be crucial in easing the impact of any disaster. This study aimed to document the range of preparedness/reactivity of municipalities as COVID-19 swept through Lebanon. A qualitative case study was implemented to explore municipal response to control the epidemic, using in-depth semi-structured interviews with twenty-seven stakeholders from nine municipalities across all governorates in Lebanon. In each municipality, participants included mayors/deputy mayors, available members of municipal councils, prominent community leaders, health care professionals, and managers of local NGOs. The collected data were analyzed using the comparative thematic analysis. The socioecological model was adopted to illustrate the dynamic interplay between the barriers and facilitators at all ecological levels. The response to the pandemic differed significantly in volume and nature among different municipalities across regions, with rural areas clearly disadvantaged in terms of adequacy and completeness of response. Barriers consistently mentioned by most municipalities included economic collapse and poverty, shortage in resources, lack of support from the central government, stigma, lack of awareness, underreporting, flaws in the MOPH surveillance system, impeded accessibility to healthcare services, limited number and weak role of municipal police, increased mental illnesses, and political patronage, favoritism, and interference. On the other hand, increased donations, community engagement, social support and empathy, sufficient human resources, the effective role of healthcare systems, and good governance were identified as key facilitators. The socioecological model identified several multi-level facilitators and loopholes which can be addressed through a suggested strategic "roadmap" providing evidence-based interventions for future epidemics. It is crucial meanwhile that the central government strengthens the administrative and financial resources of municipalities in preparing and rapidly deploying the expected optimal response.

Dataset Information

A dataset of governments' economic responses to COVID-19.

Publications

A dataset of governments' economic responses to COVID-19.

Similar Datasets

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