The research on COVID-19 and economy from 2019 to 2020: analysis from the perspective of bibliometrics

Liu, Nana; Ze, XU; Škare, Marinko

doi:10.24136/oc.2021.009

Cited by 41 publications

(14 citation statements)

References 134 publications

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“…The importance of these goals is intensified by the current pandemic situation caused by COVID-19 and strong pressures to create quality mechanisms in prevention, health literacy, data systems quality, and health care management, with a reflection on persistent regional disparities in the health of the population, as well as health care availability, processes of demographic aging and related health indicators, and forecasts of health ( 64 , 65 ).…”

Section: Discussionmentioning

confidence: 99%

Sustainable Health and Wellbeing in the European Union

Gavurová

Megyesiova

2022

Front. Public Health

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BackgroundAltogether, 17 Sustainable Development Goals (SDGs) are an urgent call for action to end poverty, protect the planet, and ensure prosperity for all. Goal 3 is crucial in terms of good health and wellbeing. The main aim of this study is to analyze and evaluate differences among indicators of SDG 3: Sustainable health and wellbeing in the EU countries.MethodsThe status and development of the EU Member States regarding their successes or failures in terms of Goal 3 were subjected to analysis. Altogether, 11 indicators were used to rank the EU countries using the TOPSIS and ranking methods. The ranks were assigned to the countries in two periods. The first period is related to the time from 2010 till 2014, and the second period from 2015 till 2019.ResultsThe EU countries achieved a positive development in 10 of 11 indicators that monitor the achievement of the EU in terms of Goal 3. The only variable that changed negatively was the obesity rate. Positivity was observed in the decline of the standardized preventable and treatable mortality, which declined from 317.3 in the first period to 295 in the second period; the drop of the population weighted annual mean concentration of fine particulate PM2.5, from 16.4 to 13.6 μg/m3, and also in the increase of the share of people with good or very good perceived health, which was combined with a decrease of the self-reported unmet need for medical examination and care. The best-rated country in terms of SDG 3 was, in both periods, Sweden, while the worst-rated was Latvia.ConclusionsGovernments and institutions in the EU can intervene to increase the accessibility and quality of the health care system, but every citizen should try to do their best to reduce some of the risk factors, such as smoking or obesity, to try living healthier and to help to achieve higher ambitions in terms of sustainable health and wellbeing.

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Section: Discussionmentioning

confidence: 99%

Sustainable Health and Wellbeing in the European Union

Gavurová

Megyesiova

2022

Front. Public Health

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“…Special attention should be paid to the accelerated development of ICT and digital innovations, the promotion of non-cash payments in the context of the Covid-19 pandemic in studies of Civelek et al (2021), Sawangchai et al (2020), Bilan et al (2020b), etc. Many research deal with the impact of the Covid-19 pandemic on the daily public lives (Tomcikova et al 2021;Chmielecki, 2021;Kolosok & Jakubowska 2020), economic indicators of countries' growth (Tiutiunyk et al, 2021a;Mishenina et al 2021;Przytuła et al 2020;Liu et al 2021;Dementiev, 2021;Polinkevych et al 2021), social issues (Kadar & Reicher, 2020;Stefan et al 2020) and financial issues of development (Hinrichs & Bundtzen, 2021;Pardal et al 2020). So, the studies on the relationship between the pandemic effects and (2020) hypothesized that there is a relationship between pandemic lockdown and social, economic and environmental development indicators.…”

Section: Literature Reviewmentioning

confidence: 99%

Impact of digitalization and the COVID-19 pandemic on the AML scenario: Data mining analysis for good governance

Vasilyeva¹,

Ziółko²,

Kuzmenko³

et al. 2021

Economics &Amp; Sociology

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The article deals with the impact of digitalization and COVID-19 on the choice of AML scenarios for reforming the system of tactical and strategic monitoring of transactions carried out by economic entities based on providing good governance. The study period is 2011-2020; the objects of the study are 140 countries. Calculations are performed using Data-Mining methods, such as AML scenarios based on the classification tree method (one-dimensional CART branching method) and clustering of countries according to relevant AML scenarios based on agglomerative methods. There are three stages of research. The first builds a comprehensive system of indicators which involves financial inclusion indicators of the population, the ranking of countries on the Basel AML Index, and effectiveness of the AML policy implementation at the country level. The second stage considers countries' clustering according to the AML scenarios and formalizes the portraits of countries' clusters. The third stage examines the impact of digitalization and COVID-19 on the choice of AML scenarios. According to the empirical results, rapid, moderately rapid, slow and neutral adaptability to external factors are formalized in the possible scenarios as a result of such effects. Moreover, the countries' clustering proves that the money laundering risks relevant to the country lower and the implementation of the AML measures by the state grows more effective with higher financial inclusion for the population in the country. The study results can be helpful for authorized bodies in providing good governance while conducting financial monitoring and analysis of information on transactions carried out by economic entities.

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“…It is worth emphasizing that the Covid-19 pandemic has also triggered negative consequences mainly in the following dimensions of fragility, economic, social, human, political, security. Liu, Xu, and Skare, (2021) analyze the existing studies on COVID-19 and the economy from bibliometrics. The discussion starts from the statistical analysis, in which the elemental distributions of the studies on different countries/regions, different publication sources, different publication years, etc., are presented.…”

Section: Determinants Of Economic Fragility In Central and Eastern European Countriesmentioning

confidence: 99%

“…The discussion starts from the statistical analysis, in which the elemental distributions of the studies on different countries/regions, different publication sources, different publication years, etc., are presented. Then, Liu, Xu, and Skare, (2021) show the cooperation situations of the researchers by analyzing the related citation networks, co-citation networks, and cooperation networks. Further, the theme analysis of the associated studies is presented, and then the detailed analyses of the studies and the future research trends are introduced.…”

Section: Determinants Of Economic Fragility In Central and Eastern European Countriesmentioning

confidence: 99%

Determinants of Economic Fragility in Central and Eastern European Countries FsQCA Approach

Boratyńska¹

2021

ERSJ

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Purpose: This study aims to identify the main drivers of economic fragility in Central and Eastern European countries (CEECs). Design/Methodology/Approach: This study focuses on the FsQCA (Fuzzy set Qualitative Comparative Analysis) approach in economic fragility and crisis research. The study concentrates on implementing the FsQCA method to identify and evaluate the main drivers of financial fragility in CEECs based on Fragile States Index data. The research covers 2020. Findings: The research indicates and examines the main reasons for economic fragility inCEECs, e.g., economic decline, uneven economic development, unemployment rate, demographic pressure, government debt, bankruptcy declarations. As a result of the financial crisis and anti-fragility measures, the national budget deficit is growing. Its reduction will be one of the main tasks of the post-crisis period. It points out that anti-crisis actions can create conditions for promoting the zombie-ing of the economy by their nature. Practical Implications: The economic crisis manifested itself in the fact that many countries, including the USA, China, and most CEECs, suspended their economies. The lockdown of economic activity directly affected the real sector of the economy. Identifying factors that determine the main drivers of financial fragility may constitute practical recommendations for public managers in creating recovery measures during the Covid-19 pandemic. The Fragile States Index, analyzed in the article, can be helpful tools for practice, warning against failures at the level of economies. Originality/Value: This article shows how a FsQCA approach can overcome the knowledge gap of current conceptual and methodological attempts to expose economic fragility's architecture of causalities. FsQCA is a valuable tool for economic fragility evaluation. Finally, the results may also serve as a basis for further research into economic and financial fragility.

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The research on COVID-19 and economy from 2019 to 2020: analysis from the perspective of bibliometrics

Cited by 41 publications

References 134 publications

Sustainable Health and Wellbeing in the European Union

Sustainable Health and Wellbeing in the European Union

Impact of digitalization and the COVID-19 pandemic on the AML scenario: Data mining analysis for good governance

Determinants of Economic Fragility in Central and Eastern European Countries FsQCA Approach

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