Covid‐19 economic vulnerability and resilience indexes
Global evidence
Bibliographic Data
| ID | 7811086 |
|---|---|
| Authors | Samba Diop (0000-0002-1410-5351, Université Gaston Berger), Simplice Anutechia Asongu (0000-0001-5227-5135, African Governance and Development Institute), Joseph Nnanna |
| Year | 2021 |
| Volume | 71 |
| Issue | S1 |
| Pages | 37-50 |
| Publication date | 2021-11-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Social Science Journal (JOURNAL) |
| Journal identifiers | ISSN: 0020-8701 • E-ISSN: 1468-2451 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/issj.12276 |
| PMID | 34548690 |
| OpenAlex | W3092474365 |
| Language | EN |
| Citations received | 9 |
| References cited | 27 |
This study complements the extant literature by constructing COVID‐19 economic vulnerability and resilience indexes using a global sample of 150 countries categorised into four principal regions: Africa, Asia‐Pacific and the Middle East, America, and Europe. Seven variables are used for the vulnerability index and nine for the resilience index. Both regions and sampled countries are classified in terms of the two proposed and computed indexes. The classification of countries is also provided in terms of four scenarios pertaining to vulnerability and resilience characteristics: low vulnerability‐low resilience, high vulnerability‐low resilience, high vulnerability‐high resilience, and low vulnerability‐high resilience to illustrate sensitive, severe, asymptomatic, and best cases, respectively. The findings are relevant to policy makers, especially as they pertain to decision‐making in resource allocation in the fight against the global pandemic
Biology · Climate change · Computer security · Coronavirus disease 2019 (COVID-19) · Development economics · Economics · Environmental resource management · Extant taxon · Geography · Index (typography) · Pandemic · Resilience (materials science) · Vulnerability (computing) · Vulnerability index · Computer Science · COVID-19 Pandemic Impacts · Medicine
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| Unique citing works | 9 |
|---|---|
| Citations per year | 2,25 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 9 |