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The aims of this paper are to identify existing research on renewable energy; identify the most influential publications, authors, organizations to understand the research areas. The paper is centered on the bibliometric analysis based on the Web of Science database for the key phrase’ renewable energy’ in the article title until 2020. We analyzed the publications about renewable energy by years, by research areas, by geography, by research organizations and research sponsors, by journals, by citations of journals, authors, publications, co-occurrence by keywords. Analysis of the most cited publications and authors, analysis of cooccurrence by keywords was performed using VOSviewer. We performed hierarchical cluster analysis, and clusters were selected using VOSviewer. We found 17805 scientific publications on renewable energy published in scientific journals (51.7% of publications were published during 2016-2020). The most popular research areas are energy fuels, engineering, science technology, environmental sciences, ecology, and business economics. The majority of papers was published by the scientists from the United States, China, and India. In addition, we identified six main research clusters. They are related to an optimizer, renewable energy, biomass, co2 emissions, model, desalination. Conclusions: This analysis confirmed the author’s hypothesis about the definition of new scientific horizons of renewable energy research. Our results can help scientists interested in renewable energy looking for research funding and research project risks based on renewable energy.

The work aims to analyse the activities of business structures in the issue of quantitative analysis of communication policy, as quantitative is more common and allows assessing the various aspects of communication policy of an enterprise in quantitative units. The tendency formed in conducting the communication policy of business structures is a natural change of the process in a certain time series. The paper graphically presents the relationship among the fundamental aspects of trend formation: time, place, and action. The study allows each promising trend selected from the previous stage of communication policy analysis to assess the success of the factors contributing to the speed of its spread to build input data for grouping trends that will further form promising areas of innovative development of industrial enterprises.

The coronavirus pandemic confirmed that national systems of medical and social provision for the population of various countries could not quickly adapt and implement effective measures to prevent the negative consequences from achieving a state of resilience. The article empirically substantiates the impact of the COVID-19 pandemic on national social brand to form effective mechanisms for countering risks in public health and supporting the social brand of the country for its main internal stakeholders in a period of uncertainty. The article is devoted to analyzing the channels through which the COVID-19 pandemic affected various aspects of the national management systems of Austria, Slovenia, France, and Ukraine. The analysis used a combination of correlation analysis, causal modeling, and the construction of cognitive maps to visualize dependencies. It was revealed that the key indicators that verify the mentioned impact are the satisfaction of the needs for medical examination and care, the availability of hospital beds in the medical system, and the general costs of social protection of the population. The indicator of the social attractiveness of the country for its internal stakeholders is the indicator of net migration, and it is empirically determined that this indicator is significantly influenced by the security of the medical system and the efficiency of its functioning, especially during the period of data analysis, taking into account the existence of the COVID-19 pandemic. The dependence between the social and economic well-being of the population and its tendency to critically assess one's health, readiness for disease prevention, and the formation of higher requirements for medical care was revealed. The determined regularities are useful in developing a national strategy for building an effective medical and social security system for the population in conditions of uncertainty, which is a significant component of the overall attractiveness of the country and its brand management. [ABSTRACT FROM AUTHOR]

This article generalises arguments and counterarguments within the scientific discussion regarding the determination of the influence of illegal economic activity and expansion of the shadow economy on innovative country development. The systematisation of the scientific works on the above problems proves that there is no one no complexity and unity in the above-mentioned scientific findings, which, in turn, demonstrates the necessity of further theoretical and empirical search in this sphere. Thus, it was developed a scientific hypothesis about the negative influence of the shadow economy on innovative country development. In order to test this hypothesis it was developed a scientific and methodological approach that consists of several stages: 1) correlation analysis in order to eliminate multicollinearity problem between control variables; 2) analysis of dataset descriptive statistics; 3) running Hausman test in order to clarify specification of the regression model (fixed or random effects model); 4) realisation of the panel data regression analysis for the whole country sample and separately for Ukraine, characteristics of its results. Technically all stages of the research are realised with the help of Stata 12/S.E. software. The country sample consists of 9 countries (Azerbaijan, Estonia, Hungary, Latvia, Lithuania, Poland, Slovak Republic, Slovenia, and Ukraine). Time horizon - 2008-2018. Running of the panel data regression analysis (model specification - with fixed effects) allow confirming research hypothesis for the whole country sample (an increase of shadow economy negatively affected innovative country development: an increase of shadow economy to GDP ratio in 1% leads to the decrease of the Global Innovation Index in 0.5 points). However, it was not proved for Ukraine separately. It leads to the conclusion that innovative development in Ukraine does not highly dependent on the shadow economy scale because of more significant obstacles on the way on innovation adoption (institutional inefficiency, regulatory drawbacks etc. [ABSTRACT FROM AUTHOR]