• Energy Research

This study aims to fill the gap in estimating the Green Country Brand Strength Index and its convergence among EU countries and Ukraine (as a potential EU candidate) from 2006 to 2020. Drawing upon data from the World Data Bank, Eurostat, and The Food and Agriculture Organization, the study employs various analytical tools including principal component analysis, the global Malmquist‒Luenberger productivity index, the entropy method, and σ- and β-convergence theories. The findings suggest a notable increase in the green brand values of the analyzed countries from 2006 to 2020, with a significant expansion of the measurement scale. Notably, France, Germany, Spain, the Netherlands, and Sweden emerged as leaders in the Green Country Brand Strength Index by 2020. Furthermore, the study uncovers convergent policies among EU countries aimed at fostering green brands aligned with the Sustainable Development Goals, as evidenced by a decline in σ- and β-convergences. This research provides valuable insights into the dynamics of green branding and policy convergence within the EU and prospective candidate countries. It introduces a distinctive approach to assessing and analyzing green brand strength, emphasizing its critical importance to the formulation of sustainable development policies and strategies.

The omnichannel approach to forming marketing strategies for the development of the green competitiveness of enterprises is seen as a process for the inseparable interaction of marketing-mix elements that are aimed at promoting green competitiveness. This approach integrates traditional and digital marketing communication channels and provides consideration for stakeholder interests. The effectiveness of applying the omnichannel approach to the formation of marketing strategies to develop the green competitiveness of enterprises depends on a set of marketing communication channels, which, in various combinations, can increase or decrease the level of companies’ green competitiveness. For that purpose, this paper proposes a scientific approach to identifying the quality parameters of marketing communication channels, which involves testing the hypothesis that statistically significant relationships exist between their quality parameters and the levels of green competitiveness. The objects analyzed in the paper comprise large Ukrainian production companies that are part of the agro-industrial, mechanical engineering, and food industries, and that work in both the local and international markets. According to the results of the calculations, four relevant parameters were identified for determining the quality of the marketing communication channels: the speed of loading pages, the failure rate, image, and remarketing activities.

Accepting sustainable development goals leads to the reorientation of all sectors at all levels. The European Union (EU) actively accepts a vast range of policies to achieve environmental sustainability due to declining carbon dioxide emissions. Within the Green Deal Policy, and in particular the Fit for 55 packages, the EU declared ambitious goals to reduce carbon dioxide emissions by at least 55% from the transport industry by 2030 and 100% by 2035. These goals require introducing appropriate digital technologies into the ecologically friendly functioning of the transport sector to attain sustainable development. This paper aims at analyzing the impact of digitalization on environmental sustainability by providing an effective transport sector that functions with minimum environmental degradation. The object of research is the EU countries for the period 2006–2020. This study applies the panel-corrected standard errors technique to achieve the paper’s aims. The findings allow us to conclude that digitalization is conducive to environmental sustainability. Thus, digital inclusion, the input of the IT sector to GDP, and e-commerce have direct negative and statistically significant linear effects on carbon dioxide emissions. Growth of digital inclusion, input of the IT sector to GDP, and enterprises with web sales by one point allow for decreasing CO2 emissions by 0.136, 2.289, and 0.266, respectively. However, key enablers and digital public services for citizens have a nonlinear, statistically significant impact on carbon dioxide emissions. The findings could be the basis for upgrading incentive policies for reducing carbon dioxide emissions.

The paper is devoted to identifying the level of social safety of society, taking into account the indicators of shadow economy, and developing its strategic scenarios as a component of sustainable development of Ukraine by 2030. The authors used the modern methods of normalisation, threshold vector determination, and dynamic weight coefficients in order to identify the level of social safety of society. The authors developed the structure and a list of indicators considering three components of social safety: The standard of living, the demographic component, and the quality of life. This method allows determining the list and severity of threats, comparing the dynamics of integral indices with integral thresholds in one scale, identifying the state of security, and defining strategic goals and strategies. The suggested approach is universal and can be used by any country, region, economic activity, or business to develop evidence-based medium-to-long-term sustainable development scenarios.

A comprehensive study was conducted in the direction of research and institutional support and comparison with the nearest neighbour - Poland, to determine the current state and justify strategic scenarios for Ukraine's integration into the research, educational and innovation spaces of the EU as a source of proactive sustainable innovative development. Analysis of the use of foresight technology to determine the possible future, create the desired image of the future and determine strategies to achieve it using methods developed in various research areas revealed that its application makes sense in determining long-term factors, trends and directions of national economies. That is, in foresighting, in contrast to forecasting, the emphasis is made on qualitative rather than quantitative results, which does not provide the expected targeted policy of the state, because it does not give clear, concrete results of actions - quantitative strategic benchmarks, monitoring which would control the process of these areas' development. The disadvantages of foresighting methods that limit its application are identified. Scientific substantiation of strategic scenarios of European integration of Ukrainian and Polish research, education and innovation spaces is based on the concept of sustainable development, which is grounded on applied systems theory, management theory and economic cybernetics and comprises the stages of identifying and strategizing. Identification is carried out taking into account the definition of the safe existence boundaries and simultaneous norming and integrated convolution of indicators and thresholds of education and innovation. Comparison on one scale of integrated indices of education and innovation makes it possible to carry out the goal-setting stage, identify possible strategic development scenarios and build the desired development trajectories, i.e., to implement the principle of strategizing "the future is determined by the trajectory into future." Thus, knowledge of the desired values of integrated indices in each year makes it possible, through their decomposition by the method of adaptive regulation from the management theory, to justify the values of indicators that provide the desired growth trajectory and achieve certain goals of research, educational and innovative spaces of Ukraine and Poland.

The ongoing amplification of climate change necessitates the exploration and implementation of effective strategies to mitigate ecological issues while simultaneously preserving economic and social well-being. Renewable power systems offer a way to reduce adverse anthropogenic effects without hindering economic growth. This study aims to conduct a comprehensive bibliometric analysis of renewable power systems to explore their historical context, identify influential studies, and uncover research gaps, hypothesizing that global contributions and policy support significantly influence the field’s dynamics. Following Preferred Reporting Items For Systematic Reviews And Meta-Analyses guidelines, this study utilized Scopus tools analysis and VOSviewer 1.6.20 software to examine the metadata sourced from scientific databases in Scopus. The outcomes of this investigation facilitate the identification of the most prolific countries and authors, as well as collaborative efforts that enrich the theoretical landscape of renewable power systems. The study also traces the evolution of research on renewable power systems. Furthermore, the results reveal key scientific clusters in the analysis: the first cluster concentrates on renewable energy and sustainable development, the second on the relationship between government policies and renewable power systems, and the third on the role of incentives that catalyse the advancement of renewable power systems. The findings of this meta-analysis not only contribute valuable insights to existing research but also enable the identification of emerging research areas related to renewable power system development.

The spillover effects of climate change require the exploration and implementation of appropriate ways to reduce ecological issues while simultaneously maintaining economic and social well-being. The expansion of green energy allows for a reduction in the negative anthropogenic impact on the environment without restricting economic growth or social welfare. However, the expansion of green energy necessitates additional green investment. This paper aims to provide a comprehensive bibliometric analysis of studies on the interactions between green energy and green investment. The study is based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and employs Scopus Tools Analysis and VOSviewer version 1.6.20 software. The metadata for the investigation were compiled from scientific databases in Scopus. The findings allow for the identification of the most prolific countries and authors and their collaborative efforts, which contribute to the theoretical landscape of green energy and green investment. The study also illustrates the evolution of the investigation of the linkages between green energy and green investment. Furthermore, the results enable the identification of core scientific clusters in the analysis of green energy and green investment: the first cluster focuses on renewable energy and sustainable development; the second on government and green energy; and the third on green investment as the catalyst for green energy. The results of the meta-analysis facilitate the identification of new research areas related to the connection between green investment and green energy.

Abstract The possibilities of using cognitive technologies in the organization of systematic industrial enterprise management are described in the article. Strategic links are defined in the development of a system of stochastic models of enterprise management based on artificial intelligence. The possibility of introduction of the Perceptron model in the industrial enterprise management with the purpose of identification of “bottlenecks” in the functionality of business activity and improvement of procedures of decision-making in the framework of creation of the program of development and technical re-equipment of the enterprise is proven. The authors offered an organizational and economic mechanism of operation of an industrial enterprise, which includes new means of implementation of managerial actions through the use of a matrix of assessment of the level of implementation of cognitive technologies. The method of determining priority directions for the implementation of cognitive technologies at an enterprise was developed based on the results of the assessment of the depth of penetration of cognitive technologies and the result obtained from their implementation, which additionally takes into account the resource ratio of the implemented technologies defined as the ratio of estimates of the actual level of competencies to what is needed to work with new cognitive technologies, which allows to obtain the planned economic and organizational effect.