Environmental taxes in ensuring national security: A structural optimization model

Samusevych, Yaryna; Maroušek, Josef; Kuzmenko, Olha; Štreimikis, Justas; Vysochyna, Alina

doi:10.14254/2071-8330.2021/14-2/19

Cited by 33 publications

(18 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Attention should be paid to studies in which the authors searched for cause-and-effect relationships within the chain—between the pandemic, economic development, and the ecology of the region. In particular, proved that the introduction of the Dorst quarantine stopped the spread of the virus, but had a detrimental effect on the macroeconomic development of countries and their ecological development [ 36 ]; saw the prompt response of national governments to epidemiological and environmental challenges as a necessary condition for their respective countries’ sustainable development [ 37 ]; proposed an optimal level of environmental taxation that would ensure countries sustainable development while protecting them from epidemiological threats [ 38 , 39 ]; added energy security to economic and environmental, as it also was affected by the impact of the pandemic [ 40 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Public Health System Economic Efficiency and COVID-19 Resilience: Frontier DEA Analysis

Kuzior

Kashcha

Kuzmenko

et al. 2022

IJERPH

Self Cite

View full text Add to dashboard Cite

The article summarizes the arguments and counterarguments in the scholarly discussion about the problem of choosing a model of healthcare organization. The study’s primary goal was to identify the economic efficiency of the public health system and resistance to COVID-19. The relevance of addressing this research issue is that the epidemiological challenges posed by the pandemic worldwide have manifested themselves differently in various countries. Therefore, it is advisable to consider the effectiveness of public healthcare models and how they have worked out in the fight against COVID-19. Research in the work was carried out in the following logical sequence: conducting scientometric analysis of research, creation of a statistical research base for 22 countries of the world; construction of integral indices of the economic efficiency of the health care system; calculation of public health system resilience to the COVID-19 pandemic; application of frontier DEA analysis to determine system efficiency; comparison and analysis of the results of research on the economic efficiency of public health systems obtained by different methods. The article presents the results of a comparison of the economic efficiency of the public health system, which showed that the system built according to the Beveridge principle is the most resistant to the pandemic and, at the same time, has the highest indices of economic efficiency.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Public Health System Economic Efficiency and COVID-19 Resilience: Frontier DEA Analysis

Kuzior

Kashcha

Kuzmenko

et al. 2022

IJERPH

Self Cite

View full text Add to dashboard Cite

show abstract

“…and Rhemtulla M. ( 2021) in psychology, where scientists raised the question regarding an appropriate sample size in modelling to obtain meaningful results. The use of structural modelling in the study of tax behaviour (Samusevych Y. et al, 2021) allowed to reveal of new information about the impact of taxation on national security. The effectiveness of the approach in modelling consumer behaviour has been proven by Hair J.F.…”

Section: Literature Reviewmentioning

confidence: 99%

Structural modelling for assessing the effectiveness of system for countering legalization of illicit money

Lyeonov¹,

Hlawiczka²,

Boyko³

et al. 2022

Journal of International Studies

View full text Add to dashboard Cite

The article suggests a scientific and methodological approach to the evaluation of the infrastructural component’s effectiveness in the anti-money laundering system due to digitalization. Structural modelling is the basis for the mentioned approach implementation, which consists of several steps. First, the input data is selected in terms of the effective regulation of the financial services market, law enforcement and judicial activities, and digitalization. Next, the moving average method is used to identify the growth rate of missing values in the available data series. Then, the selection of relevant factors for financial services market regulation, law enforcement activity, judicial activity and digitalization is based on the principal component analysis. After reducing the input array of data to a comparable form, a structural equations system can be constructed to reflect the impact of the digitalization level on the latent integral characteristics of the directions of anti-money laundering work done by regulatory authorities. Finally, the model is checked for adequacy. The result of this research can serve as an information base for further strengthening the digital vector in the development of regulation institutions and law enforcement agencies overseeing the financial services market, as well as for the radical transformation of courts in Ukraine since digitalization currently negatively affects them.

show abstract

“…Their research aimed to analyze the impact of quarantine measures and the pandemic on further business development to ensure sustainable development. Other authors (Vasylieva et al, 2021b; Samusevych et al, 2021b; Tiutiunyk et al, 2021) analyzed the consequences of COVID-19 in important spheres of public functioning, namely taxes, informatization, digitalization etc. Among the negative impacts of the pandemic, the stratification of society and a significant psycho-emotional burden, which threatens socio-economic development, have been identified.…”

Section: Literature Reviewmentioning

confidence: 99%

Impact of COVID-19 on the national development of countries: implications for the public health

Kuzmenko

Lyeonov

Letunovska

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

The article focuses on measuring the fluctuations in countries' development as a result of the COVID-19 pandemic. The obtained measures make it possible to predict the extent of the impact of risks to public health on the economy, financial-budgetary, political-institutional development of states in the future, as well as the social determinants of public health. This assessment represents a new paradigm that makes it possible to effectively evaluate the manifestations of the consequences of COVID-19 and to identify the relevant determinants of the lack of resilience of the medical and social security systems to the coronavirus pandemic around the world. We picked the determinant of national development indicators of the 59 countries in order to measure the fluctuations in their economic development. In addition, we applied the binary response model for identifying the economic, financial-budgetary, and political-institutional development change with the happiness index of the countries being the dependent variable. The analysis of our empirical model made it possible for us to conclude that economic and financial-budgetary components have significantly increased the influence on well-being during the COVID-19 pandemic. In contrast, we observed the decrease in the impact of political and institutional indicators during the same period.

show abstract

Environmental taxes in ensuring national security: A structural optimization model

Cited by 33 publications

References 47 publications

Public Health System Economic Efficiency and COVID-19 Resilience: Frontier DEA Analysis

Public Health System Economic Efficiency and COVID-19 Resilience: Frontier DEA Analysis

Structural modelling for assessing the effectiveness of system for countering legalization of illicit money

Impact of COVID-19 on the national development of countries: implications for the public health

Contact Info

Product

Resources

About