Migration, environment, and country safety: analysis of touchpoints

Didenko, Iryna; Волик, К. М.; Vasylieva, Тetiana; Lyeonov, Serhiy; Antoniuk, Nataliia Anatoliivna

doi:10.1051/e3sconf/202020203028

Cited by 38 publications

(17 citation statements)

References 36 publications

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“…Besides, some traditional socio-economic factors are determinants of regions' vulnerability to . The article studies the migration phenomenon and its linkages on fiscal revenues and budget expenditures with social benefits (Cristea et al, 2019;Levchenko et al, 2017;Didenko et al, 2020b). The research (Osabohien et al, 2020;Rajan, 2018;Shammi et al, 2020) showed that social protection positively affects employers' health and work outcomes through various channels, namely, building human resources and equity, the use of public resources, social inclusion.…”

Section: Literature Reviewmentioning

confidence: 99%

Why do regions differ in vulnerability to СOVID-19? Spatial nonlinear modeling of social and economic patterns

Kuzmenko¹,

Vasylieva²,

Vojtovič³

et al. 2020

Economics &Amp; Sociology

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Certain groups of determinants (economic, environmental, social, healthcare) with the highest vulnerability identify the reasons for regional differentiation in morbidity and mortality from COVID-19. This defines the necessity to find appropriate combinations of factors characterizing the vulnerability of a region. The methodology and tools to explain the regional specifics of population vulnerability to COVID-19 are investigated through a systematic consideration of many public health factors, environmental, social and economic specific nature of regions. The aim of the article is to study the reasons for regional differentiation of population vulnerability (morbidity and mortality rates) from COVID-19. The authors investigate a nonlinear spatial model in which the stepwise algorithm of individual factor variables is added/removed from the model specifications step by step by the Aitken method depending on their correlation with morbidity and mortality from COVID-19 in the region. The Farrar-Glober method is used to eliminate the multicollinearity of factors, the Spearman test is used to detect the heteroskedastic effect, and the Darbin-Watson test is used to check the presence of autocorrelation between the residues. As a result, the specification of the model with the highest adequacy in terms of p-value and tstatistics is formed. Relevant socioecological-economic vulnerability indices of regions to mortality and morbidity from COVID-19 are identified. The obtained results allow making adjustments in the state and regional programs concerning the mobilization of economic and healthcare systems.

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Section: Literature Reviewmentioning

confidence: 99%

Why do regions differ in vulnerability to СOVID-19? Spatial nonlinear modeling of social and economic patterns

Kuzmenko¹,

Vasylieva²,

Vojtovič³

et al. 2020

Economics &Amp; Sociology

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show abstract

“…The environmental component is an integral part of sustainable development, the impact of which is greatly enhanced due to the extensive use of fossil resources and insufficient environmental protection. Uncontrolled pollution of territories can lead to economic consequences and negatively impact the environment [7,8], causing ecological disasters and migration of the working population [9,10]. At the same time, the Paris Agreement 2015 contains regulated requirements that disturb the transformation of energy balances in terms of reducing the share of coal [11,12] and expanding green energy production in the energy sector [13].…”

Section: Introductionmentioning

confidence: 99%

A Scoping Review of Renewable Energy, Sustainability and the Environment

et al. 2021

Self Cite

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The article aims to identify the latest trends in research on renewable energy, sustainability and the environment. A total of 92,873 publications from 123 Scopus sources for 2020–2021 are compared using the scoping review method. The results show that the most cited works in this sample are those by authors from the Asian region. The research of these authors focuses on the security, efficiency and reliability of separate elements in energy systems. Besides, the paper considers the problems regarding COVID disease along with the renewable energy sources, perovskite and organic solar panels, nanostructured materials and high energy density. Finally, the paper analyses applications of computer science methods in research on renewable energy, sustainability and the environment. The findings evidently show that recent advancements in computer science methods were not extensively used in the discussed research domain and give a great room for novel strategies of prognosing, simulation and processes optimisation.

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“…Several scientists studied the development of the smart grid [34][35][36], environmental management, and green marketing (branding) [37][38] as crucial tools for improving the national economic energy efficiency in the process of carbon-free development.…”

Section: Introductionmentioning

confidence: 99%

Evolutionary development of energy efficiency in the context of the national carbon-free economic development

et al. 2021

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This research aims to analyse the evolutionary development of the scientific treatises devoted to the national economic energy efficiency. To attain the paper’s goal, this study is carried out in the following logical sequence: 1) identification and generation of the necessary relevant data: 2) analysis of keywords co-occurrence to determine the promising research areas on energy efficiency. The authors used keywords “energy policy”, “energy efficiency”, “sustainable development” to generate the relevant study sample. Thus, the study sample consists of 48,888 publications indexed by the scientometric databases Scopus and Web of Science. The study period is 2000-2020. Visualization of the bibliometric analysis results concerning the national economic energy efficiency management was conducted using the VOSviewer software v.1.6.10. The co-occurrence network map identified the six stages of evolutionary development of scientific treatises on the national economic energy efficiency. Besides, the authors applied Google Trends tools to analyse 2,172 internet search queries regarding the social concern in energy efficiency. In the study, the authors conclude that the scientific society has not yet reached a consensus in identifying key determinants of energy efficiency under the national economy transition to a carbon-free development model. The research results can be helpful for scholars investigating the determinants of developing the national economic energy efficiency.

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Migration, environment, and country safety: analysis of touchpoints

Cited by 38 publications

References 36 publications

Why do regions differ in vulnerability to СOVID-19? Spatial nonlinear modeling of social and economic patterns

Why do regions differ in vulnerability to СOVID-19? Spatial nonlinear modeling of social and economic patterns

A Scoping Review of Renewable Energy, Sustainability and the Environment

Evolutionary development of energy efficiency in the context of the national carbon-free economic development

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