Impact of Covid-19 pandemic on economic performance of European Countries DOI Creative Commons
Marina Milanović, Milan Stamenković

Zbornik radova Ekonomskog fakulteta u Rijeci, Journal Year: 2022, Volume and Issue: 40(1), P. 177 - 200

Published: June 30, 2022

Starting from the fact that rapid spread of SARS-CoV-2 virus and implementation social distancing strategies have dramatically affected all aspects human lives at global, national, micro levels, this paper focuses on examining impact COVID-19 pandemic economic performance selected European countries. To perceive understand impact, authors applied a complex research methodology based combined application suitable univariate multivariate methods statistical analysis. The classification 40 countries into different groups, in terms set indicators 2020, was performed through hierarchical agglomerative cluster analysis, while evaluation quality obtained solution non-hierarchical procedure, k-means method, implemented. consists four clusters identified as “optimal” clustering solution. conducted analysis comparison profiles formed their average GDP growth rates 2020 using descriptive hypothesis testing. This study reveals with relatively “lower” severity health consequences recorded higher rate compared to groups suffered more serious vice versa. results, which indicate connection between magnitude negative pandemic, can serve additional support policymakers making decisions aimed mitigating impacts crisis management.

Language: Английский

The impact of the COVID-19 pandemic on global trade-embodied carbon emissions DOI Open Access
Yuru Liu, Jingyu Zhu,

Christopher Padi Tuwor

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 408, P. 137042 - 137042

Published: April 5, 2023

Language: Английский

Citations

23
Economic growth and labour market in the European Union: lessons from COVID-19 DOI Creative Commons
Andrej Přívara

Oeconomia Copernicana, Journal Year: 2022, Volume and Issue: 13(2), P. 355 - 377

Published: June 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.

Language: Английский

Citations

38
Machine learning and automatic ARIMA/Prophet models-based forecasting of COVID-19: methodology, evaluation, and case study in SAARC countries DOI Open Access
Iqra Sardar, Muhammad Azeem Akbar, Víctor Leiva

et al.

Stochastic Environmental Research and Risk Assessment, Journal Year: 2022, Volume and Issue: 37(1), P. 345 - 359

Published: Oct. 5, 2022

Language: Английский

Citations

37
An overview on parametric quantile regression models and their computational implementation with applications to biomedical problems including COVID-19 data DOI Open Access
Josmar Mazucheli, Bruna Alves, André F. B. Menezes

et al.

Computer Methods and Programs in Biomedicine, Journal Year: 2022, Volume and Issue: 221, P. 106816 - 106816

Published: April 26, 2022

Language: Английский

Citations

31
A New Approach to Predicting Cryptocurrency Returns Based on the Gold Prices with Support Vector Machines during the COVID-19 Pandemic Using Sensor-Related Data DOI Creative Commons
Esam Mahdi, Víctor Leiva, Saed Mara’Beh

et al.

Sensors, Journal Year: 2021, Volume and Issue: 21(18), P. 6319 - 6319

Published: Sept. 21, 2021

In a real-world situation produced under COVID-19 scenarios, predicting cryptocurrency returns accurately can be challenging. Such prediction may helpful to the daily economic and financial market. Unlike forecasting returns, we propose new approach predict whether return classification would in first, second, third quartile, or any quantile of gold price next day. this paper, employ support vector machine (SVM) algorithm for exploring predictability six major digital currencies selected from list top ten cryptocurrencies based on data collected through sensors. These are Binance Coin, Bitcoin, Cardano, Dogecoin, Ethereum, Ripple. Our study considers pre-COVID-19 ongoing periods. An that allows updated analysis, use sensor database, is also proposed. The results show strong evidence SVM robust technique devising profitable trading strategies provide accurate before during current pandemic. findings different stakeholders understanding dynamics making better investment decisions, especially adverse conditions times uncertain environments such as

Language: Английский

Citations

36
Factors Influencing Large Real Estate Companies’ Competitiveness: A Sustainable Development Perspective DOI Creative Commons
Bo Li, Rita Yi Man Li, Thitinant Wareewanich

et al.

Land, Journal Year: 2021, Volume and Issue: 10(11), P. 1239 - 1239

Published: Nov. 12, 2021

Strict policy control and real estate market downturn affects large-scale enterprises performance. We surveyed large Chinese the internal factors that affect their competitiveness. Verified by hierarchical regression structural equation modelling approach, results mainly show profitability, capital ability, management operation human resource brand name, innovation ability play positive roles in competitiveness of enterprises. Management plays an intermediary role between resources improvement Real enterprises’ sources names Moreover, landbank area quality sales are three major impact enterprises, while for marketing payment collection has a relatively small impact. All all, this paper provides practical implications concerning The findings helpful to improve sustainable development future. As research on is scarce, study aims fill gap.

Language: Английский

Citations

32
On a Novel Dynamics of SEIR Epidemic Models with a Potential Application to COVID-19 DOI Open Access
Maheswari Rangasamy, Christophe Chesneau, Carlos Martín-Barreiro

et al.

Symmetry, Journal Year: 2022, Volume and Issue: 14(7), P. 1436 - 1436

Published: July 13, 2022

In this paper, we study a type of disease that unknowingly spreads for long time, but by default, only to minimal population. This is not usually fatal and often goes unnoticed. We propose derive novel epidemic mathematical model describe such disease, utilizing fractional differential system under the Atangana–Baleanu–Caputo derivative. deals with transmission between susceptible, exposed, infected, recovered classes. After formulating model, equilibrium points as well stability feasibility analyses are stated. Then, present results concerning existence positivity in solutions sensitivity analysis. Consequently, computational experiments conducted discussed via proper criteria. From our experimental results, find loss regain immunity result gain infections. Epidemic models can be linked symmetry asymmetry from distinct view. By using approach, much research may expected epidemiology other areas, particularly COVID-19, state how develops after being infected virus.

Language: Английский

Citations

21
Multi-strain COVID-19 dynamics with vaccination strategies: Mathematical modeling and case study DOI Creative Commons

Venkatesh Ambalarajan,

Ankamma Rao Mallela,

Prasantha Bharathi Dhandapani

et al.

Alexandria Engineering Journal, Journal Year: 2025, Volume and Issue: 119, P. 665 - 684

Published: Feb. 12, 2025

Language: Английский

Citations

0
The influences of covid-19 pandemic on macroeconomic indexes for European countries DOI Creative Commons

Ionela-Cătălina Zamfir,

Ana Maria Mihaela Iordache

Applied Economics, Journal Year: 2022, Volume and Issue: 54(39), P. 4519 - 4531

Published: Feb. 2, 2022

The Covid-19 pandemic had a major impact in the entire world, both sanitary and economic. purpose of this study is to analyse European countries from point view. main economic indicators related import, wages, labour productivity, consumption, taxes, gross domestic product (GDP), as well variables measures were considered order estimate that have economy. Principal component analysis was performed reduce dataset dimensionality create new indicators. Selected are characterized compared using principal components outputs while regression used identify an influence independent on GDP. results show that, comparing situation 2020 with previous 2 years considering adopted closure measures, influenced GDP countries.

Language: Английский

Citations

17
From Short-Term Risk to Long-Term Strategic Challenges: Reviewing the Consequences of Geopolitics and COVID-19 on Economic Performance DOI Open Access
Goshu Desalegn, Anita Tangl, Mária Fekete-Farkas

et al.

Sustainability, Journal Year: 2022, Volume and Issue: 14(21), P. 14455 - 14455

Published: Nov. 3, 2022

The COVID-19 crisis and the war between Russia Ukraine affects world economy badly. western countries’ economic sanctions on Russian government’s reverse countries create pressure economy. This study was conducted to investigate how performance is responding geopolitical of era. In doing so, both theoretical numerical data reviews have been performed. objective short-term risks long-term strategic challenges crisis. used a bibliometric approach with help RStudio software. Web Science database for extracting resources in line grey literature from Google Search engine. A total 895 documents were utilized this analysis. At same time, secondary panel extracted international monetary fund (IMF) period 4 years (2019–2022) reviewing implications. purposive sampling technique selection main variables. findings imply that over registered less growth, high inflation rate, government debt 2022 compared fiscal 2019–2021. emerging economies developing Europe badly affected by as level rate hit 27 percent growth region negative 2.9 percent. also found rising interest rates, exchange volatility, risk stagflation, energy prices are economies. issue sustainable development goals green aspects, hyperinflation, recession or Bailout relief be necessary those Policymakers should facilitate financial policies switch general assistance targeted support viable enterprises.

Language: Английский

Citations

15