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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. [ABSTRACT FROM AUTHOR]

The intensification of ecological issues provokes to search for the appropriate mechanism and resources to solve them without declining the economic growth. This requires moving from resources oriented to green economic development. It could be realised through two goals: achieving macroeconomic stability – core driver of economic growth; declining environmental degradation and increasing efficiency of resources using – core requirements for green development. The paper aims to check the hypothesis on macroeconomic stability's impact on the green development of the countries. The object of investigation is European Union countries from 2000 to 2020. The study applied the following methods: the Global Malmquist-Luenberger productivity index – to estimate the green development of the countries; Macroeconomic Stabilisation Pentagon model – to estimate macroeconomic stability; Kernel density estimation and Tobit model – to check the macroeconomic stability impact on the green development of the countries. The empirical findings show that Malta from the 'Green Group' and Estonia from the 'Yellow group' have the highest value of green development, and Sweden and Greece have the highest value of macroeconomic stability. Besides, the findings allow confirming the research hypothesis. Thus, the growth of external dimensions of macroeconomic stability by 1 point led to the growth of green economic development by 0.085 (among 'Green group') and 0.195 (among 'Yellow group'). It confirms that harmonising macroeconomic stability among all EU members allows for achieving the synergy effect. [ABSTRACT FROM AUTHOR]

The aim of this research is to study theoretical and practical aspects of the ecological and economic losses from the use of solid domestic waste (SDW) as energy resources in the heat power industry of Ukraine. The methodical approaches to evaluating the ecological and economic losses caused by solid domestic waste (SDW) comprise: the developed algorithm, which evaluates the ecological and economic losses in the SDW use as fuel and energy resources in comparison with basic and project variant; the investigated morphological composition of SDW in the Ukrainian regions, on the basis of which there is proposed a matrix for further calculations of the ecological and economic loss from atmospheric pollution as a result of the energy-intensive SDW combustion at the power plants by the Ukrainian regions. The efficiency of using SDW as secondary energy resources, which essentially depends on the conventional energy resources combustion, is proved. According to the chemical and morphological composition of SDW, the average amount of harmful substances by their element constituents of SDW is determined. The economic loss from the combusting 1 ton of SDW as energy resources is estimated. Reasonability of using SDW as energy resources, based on the optimal ratio between conventional resources and energy-intensive SDW through minimizing total production costs and possible ecological and economic loss, is grounded. It is proved that while estimating the ecological and economic losses, it is necessary to consider the SDW morphological composition and regional specific features regarding the location of heat and power enterprises and organized storage landfills. It is grounded that the obtained estimates of the ecological and economic losses may be used for identifying the ecological and economic evaluation of the SDW efficiency use in the heat power industry at the regional level.

The article aims to provide a theoretical basis for the assessment of the institutional impact on oil production. The availability of fuel is the key driver of the functioning national economy, which determines the strategic and tactical landmarks of socioeconomic development and vectors of the country's foreign economic course. Such tendencies are represented in the results of the provided correlation analysis of the fluctuation between oil-production volumes and greenhouse gas emissions, the use of alternative energy sources, the number of patents for oil production, and unemployment. The provided bibliometric analysis, which was made using VOSviewer, has shown the content of interconnections between the categories of oil production and institutional determinants. The authors hypothesised that changes in the institutional environment and their interconnectedness formed a chain “oil production and oil rents → the level of corruption → the efficiency of public governance”. The hypothesis was confirmed by constructing a system of dynamic models and using the Generalised Method of Moments. The calculations confirmed that oil rents were associated with corruption and were a direct threat to the stability of public institutions. An increasing level of corruption was associated with an increase in the level of rent payments and occurred only when the quality of democratic institutions was below the threshold level. The current level of efficiency in public administration did not have a significant impact on national oil production. Of all indicators, only the level of political stability had a statistically significant impact on oil production. The identified interconnections provide the basis for creating an efficient state policy aimed at effectively functioning state institutions, which promote the development of the oil industry, and the reduction of the country's energy dependence as well as strengthen the resilience of the national economy.

The authors concluded that no single theory could unambiguously explain what factors influence the behavior of consumers of healthy segment products. Scientific studies and experimental primary data were analyzed, and generalizations were made regarding what most influences consumers' decisions to purchase a product. A methodology for selecting consumer behavior models in the segment of healthy products was developed based on a combination of criterion features of addressability, emotionality and ecological awareness, which made it possible to formalize the types of consumer behavior models and substantiate the prevailing decision-making criteria for each of them. For different models, the purchase of the product will be influenced by its factors. The products of the healthy segment are not the kind of products that the vast majority buy after weighing and considering the decision. The basis for developing an optimal set of marketing communication tools has been formed.

The aim of this study is to conduct an extensive review and evaluation of the global scientific literature that explores the nexus between digital transformation and green brands in achieving SDGs. This study focuses on 866 relevant scientific articles published in journals indexed in the Scopus database. The analysis encompasses a timeframe spanning from 2000 to 2023, with data collected up to September 1. The research process followed a logical sequence involving the collection and processing of relevant articles, followed by the application of various bibliometric methods to analyze and visually present the gathered data. Biblioshiny, VOSviewer 1.6.16 software toolkits, and Scopus analytical tools were employed for the bibliometric analysis. In the final stage, the obtained results were integrated, and potential directions for future research were explored. The findings suggest that digitalization acts as a catalyst for advancing sustainable development, ultimately facilitating the development and promotion of green brands. This chain of influence underscores the consensus among scholars that digitalization and green brands play instrumental roles in contributing to the achievement of SDGs. However, there is a relative scarcity of studies directly addressing the relationship between digitalization and green branding. This gap underscores the need for further research in this specific area to bridge the knowledge divide and provide valuable insights into how the synergy between digitalization and green branding can be harnessed to promote sustainability and advance the SDGs.

Abstract. The level of socioeconomic development depends on the mode of production, and the world economies have undergone revolutions from agricultural, industrial, and then digital, giving rise to developed, developing and underdeveloped economies. The purpose of this research is to use bibliometric analysis to study the trends of digital marketing and sustainable development in developed and underdeveloped countries. The authors resorted to the Scopus database to extract 119,981 documents for developed economies and filtered them to 29,071 for Scopus analysis. Then, 9854 documents were also extracted for underdeveloped economies and refined to 2850 to perform comparative analysis. The filtered documents were exported to VOSviewer for visualization mapping, including coauthorship and co-occurrence analysis using English. The results revealed that the total number of documents produced in developed economies from 1950 to 2023 was 29065, compared to 2816 produced in underdeveloped economies, representing just 8.9% of the total world output. The study revealed a general upward growth trend in both developed and underdeveloped economies. The results further revealed that developed economies strengthened their research collaborations, the United States was the most influential for developed economies, and China was the most influential in research done in developing economies. The research findings indicate that digital marketing has been the most influential among the cowords and the main driver of the global economy between developed and underdeveloped.

The paper explores the critical role of green risk management in achieving sustainable development goals (SDGs) within companies. As businesses increasingly recognize the significance of sustainability, they are confronted with various environmental, regulatory, and reputational risks that can impact their journey towards sustainability. Effective management of these green risks is imperative to ensure that companies not only meet their sustainability objectives but also contribute to broader societal and economic goals. The study used the COSO ERM methodology to select indicators for the assessment of green risk management efficiency at the company. The paper emphasizes the need for companies to integrate sustainability into their core strategies and operations. It highlights the importance of assessing and prioritizing green risks, staying compliant with evolving environmental regulations, building resilient supply chains, investing in green technologies, engaging stakeholders, and developing robust risk mitigation strategies. Moreover, transparent reporting is emphasized as a means to enhance accountability and trust among stakeholders.

Abstract. This research aims to investigate the impact of enterprise resource planning (ERP) management systems on the environmental and financial performance of Ukrainian companies. To attain the paper’s goal, this study is carried out in the following logical sequence: 1) Analysing the multifaceted role of ERP systems in modern business frameworks, including their capacity to manage stakeholder conflicts and mitigate environmental risks. 2) Empirically testing the hypothesis through a sophisticated partial least squares structural equation modelling (PLS-SEM) model, highlighting the mediating role of stakeholder influence on environmentally oriented activities. The application of structural modelling tools and PLS-SEM techniques has revealed a statistically significant positive correlation between ERP management system efficiency and company profitability (impact strength = 0.497). Since all indicators of’stakeholder influence intensity on environmentally oriented company activities’ have a statistically significant influence at the 1% level, the establishment of goals for environmentally oriented company development and the corresponding ERP management system should consider the interests of all company stakeholders. The research results can be helpful for policymakers and businesses seeking to promote ERP adoption for environmental sustainability, enhance transparency, and achieve a synergistic effect between environmental objectives and profitability.

Modern conditions for transforming the business environment in the context of implementing sustainable development goals, decarbonising the economy, and ensuring climate neutrality determine the need to implement effective measures at the level of individual enterprises. External challenges determine the urgency of strengthening enterprises' green competitive advantages and forming an integral level of green competitiveness. The paper offers a methodological basis for the long-term forecasting of enterprises' green competitiveness levels. The key object of the research is a set of companies representing the machine building, agriculture, and food industries, as strategic branches of Ukraine's economy. The period of 2020-2028 was chosen as the interval for foresight. The application of autoregressive integrated ARIMA modelling by means of the non-linear least squares method made it possible to determine transformation vectors, marketing determinants, and target orientations for increasing the integral level of green competitiveness. The assessment of the results showed that the leading enterprises in the optimistic scenario are PJSC "SVF Agrotron" (agro-industrial complex), where the predictive value of green competitiveness is 0.84; PJSC "Wimm-Bill-Dunn Ukraine" (food industry), for which the predictive value is 0.73; and PJSC "Motor Sich" (mechanical engineering), for which the predictive value of green competitiveness is 0.74. The results of the evaluation revealed the leading enterprises according to the optimistic scenario for the agro-industrial complex, food industry, and mechanical engineering. The research substantiates the claim that the priorities of the strategy for increasing the level of green competitiveness and the relevant determinants of its implementation should be determined considering the transformation scenarios of its level. [ABSTRACT FROM AUTHOR]

Companies' green competitive advantages result from the high coordination of economic, ecological, social and corporate subsystems. Thus, it is important to investigate the influence and coupling coordination degree (CCD) of the relevant components of green competitiveness. This paper justifies the relationship between green competitiveness and the coupling degree of its components. It hypothesizes that the increasing integrated index of companies' green competitiveness was determined by levels of coordination and communication between its components. The study applies the CCD model and correlation analysis to test the hypothesis. The objects of analysis were enterprises represented by three economic sectors: agro-industrial, mechanical engineering and food. The findings show that the highest coupling coordination degree among all components is represented by the companies with the highest green competitive index. These companies are characterized by the dominance of corporate components, which can increase the general level of green competitive advantages in various combinations with other determinants. [ABSTRACT FROM AUTHOR]

A green economy refers to a modern form of harmony between the environment and the economy. China showing the fastest economic growth in the world has entered into a new phase of advance, facing a critical industrial transformation and progression. The paper aims to analyse China's green economic development considering the differences in development of regions. The study applied the ultra-efficient slacks-based measure model to scrutinize China's green economic development efficiency. Dagum Gini coefficient and Kernel density methods are used to estimate spatial characteristics, local adjustments, and dynamic evolution trends. The analysis is based on an annual dataset of 30 Chinese provinces from 2010 to 2019. The findings did not confirm extensive China's green economic development. In contrast, the development efficacy reveals an influential drive over the years. Regional green development is detected as unstable and diverges due to interregional differences. The findings showed that environmental regulation, government investment, industrial structure, education development were 0.0648, 0.00154, 0.0035 and 0.118 (significant at 5% and 1%), respectively. Besides, they stimulate the green economic development in the analysed regions. However, urbanization and openness of economy had the negative value. It confirmed their restriction impact on the green economic development. In addition, the findings showed that ongoing Chines policy on management of environmental development is the priority direction and provoke the declining the environmental pollution. Besides, the modernization and optimization of the Chinese industry structure stimulate the further green economic progress. [ABSTRACT FROM AUTHOR]

This paper summarises the arguments and counterarguments within the scientific discussion on international cooperation’s role in combatting climate change and its impacts. The primary purpose of the research is to determine renewable energy development reliance on democracy and globalisation levels. The objects for analysis are Ukraine and countries with different democracy regimes: full democracy (Finland, Denmark, Spain), flawed democracy (Poland, Slovakia, Hungary, and the Czech Republic) and hybrid democracy (Ukraine, Turkey and Montenegro). To gain the research goal, the authors examined data on the share of renewable energy, GDP per capita, labour force and gross fixed capital formation from 2012 to 2019. The data was retrieved from the Eurostat database, World Data Bank, KOF Swiss Economic Institute and the Economist Intelligence Unit. The following methods and tests were used: Levin, Lin, and Chu test; Augmented Dickey-Fuller Fisher and PhillipsPerron Fisher unit root test; Im, Pesaran, Shin’s panel unit root tests. The authors used the Pedroni test to cointegration among variables. The Fully Modified OLS and Dynamic OLS panel cointegration techniques were applied to evaluate a statistically significant longer-term relationship between variables. The findings confirmed that for countries with the hybrid regime, the changes in political and economic globalisation provoked the rapid growth of renewable energy compare with countries from full and flawed democracy.