Global COVID-19 under-reporting: A Tobit model DOI
Subal C. Kumbhakar, Yulu Wang

Economic Modelling, Год журнала: 2024, Номер unknown, С. 106917 - 106917

Опубликована: Окт. 1, 2024

Economic growth and labour market in the European Union: lessons from COVID-19 DOI Creative Commons
Andrej Přívara

Oeconomia Copernicana, Год журнала: 2022, Номер 13(2), С. 355 - 377

Опубликована: Июнь 30, 2022

Research background: The world has been fighting the new pandemic caused by COVID-19 since March 2020. subsequent restrictions on economic activity resulted in a supply shock, accompanied chain disruption, job layoffs, reduced work time and wages decreased disposable incomes taxes, which led to demand shock. However, whether close link exists between number of confirmed cases, deaths indicators during remains uncertain. Purpose article: current study aims analyse impact infections growth labour market member states European Union. Methods: To achieve main research goal, we conduct panel data analysis quarterly Specifically, developed three random-effects econometric models estimate significance infection mortality rates for as well employment unemployment rates. Findings & value added: This contributes existing literature analysing selecting macro-economic within results show that rate is not significant variable indicators. an increase significantly negative economy. Moreover, worse than general. These can serve theoretical basis future interconnections pandemics findings also contribute developing efficient policy instruments mitigating future, thereby ensuring cooperation fiscal, monetary health authorities.

Язык: Английский

Процитировано

38

ICT and economic resilience: Evidence from the COVID-19 pandemic DOI
Sotiris Papaioannou

Economic Modelling, Год журнала: 2023, Номер 128, С. 106500 - 106500

Опубликована: Авг. 29, 2023

Язык: Английский

Процитировано

20

The impact of the COVID-19 pandemic on China's economic structure: An input–output approach DOI
Yang Han

Structural Change and Economic Dynamics, Год журнала: 2022, Номер 63, С. 181 - 195

Опубликована: Сен. 29, 2022

Язык: Английский

Процитировано

21

Immunity-driven Comparative Advantage and its Palliative Effect on Social Health and Inequality DOI
Sugata Marjit, Gouranga Gopal Das,

Mausumi Kar

и другие.

Journal of Policy Modeling, Год журнала: 2025, Номер unknown

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

The real cost channel and the Phillips Curve for China DOI
He Nie, Jiarui Yao,

H. G. Wang

и другие.

Economics Letters, Год журнала: 2025, Номер 247, С. 112160 - 112160

Опубликована: Янв. 5, 2025

Язык: Английский

Процитировано

0

Press freedom and stringency measures: the role of energy consumption during COVID-19 lockdowns DOI Creative Commons
Mita Bhattacharya, Eric Yan

Empirical Economics, Год журнала: 2025, Номер unknown

Опубликована: Фев. 24, 2025

Язык: Английский

Процитировано

0

Socioeconomic resilience during the COVID-19 pandemic. The role of industrial capabilities DOI Open Access
Alejandro Lavopa,

Carolina Donnelly

Structural Change and Economic Dynamics, Год журнала: 2023, Номер 67, С. 44 - 57

Опубликована: Июнь 21, 2023

Язык: Английский

Процитировано

8

Global Health Security Index Scores are associated with Covid-19 Pandemic Health and Macroeconomic Outcomes DOI Creative Commons
Matt Boyd,

Michael G Baker,

Nick Wilson

и другие.

medRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Сен. 3, 2024

ABSTRACT Background Past studies show a mixed relationship between the Global Health Security (GHS) Index and Covid-19 pandemic health outcomes. While some recent work suggests higher GHS scores are associated with better mortality outcomes there remains scope for additional analyses considering island nations macroeconomic of pandemic. Methods Correlation multiple linear regression (controlling per capita GDP) across scores, age-standardised excess 2020–2021, GDP growth, non-island jurisdictions separately. Results The moderately to strongly predicted in terms through 2020–2021 (Pearson’s r = -0.53, p < 0.00001; Spearman’s rho -0.61, β -5.54 [95% CI -3.68 -7.40], <0.00001), but not (r -0.17, 0.25; 0.00, 0.98; 0.65, 0.675). A 5-point rise was 26.75/100 000 population reduction mortality. year-on-year growth non-islands (2019–2020: 0.11, 0.04– 0.17, 0.00156]; 2020–2021: 0.09, 0.04–0.15, 0.00173]), islands. For non-islands, increase 0.55% 2019–2020, 0.45% 2020–2021. Conclusion demonstrated clear associations favourable pandemic, supporting its use guide preparedness investments. Contrasting findings islands suggest need enhance how measures border biosecurity capacities capabilities, including ability support exclusion/elimination strategies that successfully protected during What is already known? has been shown predict when accounting under-reporting age-structure. However, it debated whether equally applicable different as preparedness. this study adds? When we analysed 49 145 separately, much more good than We also found were non-islands. How might affect research, practice, or policy? This confirms potential starting point readiness. Jurisdictions should look capabilities most biosecurity, which states have by virtue their geography other generate design, greater focus GHS.

Язык: Английский

Процитировано

2

Islands, remoteness and effective policy making: Aotearoa New Zealand during the COVID‐19 pandemic DOI Creative Commons
Patrick Barrett, Jacques Poot

Regional Science Policy & Practice, Год журнала: 2023, Номер 15(3), С. 682 - 705

Опубликована: Янв. 27, 2023

Aotearoa New Zealand has been identified, by several measures, as being one of a few developed countries that have weathered the COVID-19 pandemic in best possible way. This outcome is generally attributed to strict but effective public health measures included – besides very high vaccination rates national and regional lockdowns, well total closure border except for returning citizens (who were subject mandatory quarantining). Concurrent fiscal monetary policies contributed economic outcomes remained remarkably buoyant. In this paper we assess importance interventions triggered relative mitigating effects country an island nation with small population scale, low density remote location. We summarize recent international literature, estimate simple representative cross-country regression models, provide qualitative evaluation policy response. find favourable average density, remoteness absence land borders indeed great benefit. Geography assisted effectiveness elimination strategy which was only abandoned favour mitigation once less severe highly contagious Omicron variants arrived early 2022. Hence, while peripheral location seen economically disadvantageous, during it delays spread viral disease provides opportunity focus on maintain activity, develop responses learn from experience nations.

Язык: Английский

Процитировано

5

The effect of the urban exposome on COVID-19 health outcomes: A systematic review and meta-analysis DOI Creative Commons

Laura Houweling,

Anke H. Maitland‐van der Zee, Judith C.S. Holtjer

и другие.

Environmental Research, Год журнала: 2023, Номер 240, С. 117351 - 117351

Опубликована: Окт. 17, 2023

The global severity of SARS-CoV-2 illness has been associated with various urban characteristics, including exposure to ambient air pollutants. This systematic review and meta-analysis aims synthesize findings from ecological non-ecological studies investigate the impact multiple urban-related features on a variety COVID-19 health outcomes.On December 5, 2022, PubMed was searched identify all types observational that examined one or more exposome characteristics in relation outcomes such as infection severity, need for hospitalization, ICU admission, COVID pneumonia, mortality.A total 38 241 were included this review. Non-ecological highlighted significant effects population density, urbanization, pollutants, particularly PM2.5. meta-analyses revealed 1 μg/m3 increase PM2.5 higher likelihood hospitalization (pooled OR 1.08 (95% CI:1.02-1.14)) death 1.06 CI:1.03-1.09)). Ecological studies, addition confirming also indicated nitrogen dioxide (NO2), ozone (O3), sulphur (SO2), carbon monoxide (CO), well lower temperature, humidity, ultraviolet (UV) radiation, less green blue space exposure, increased morbidity mortality.This identified several key vulnerability related areas context recent pandemic. underscore importance improving policies exposures implementing measures protect individuals these harmful environmental stressors.

Язык: Английский

Процитировано

5