• Energy Research

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.

Ongoing environmental issues and degradation provoke the implementation of relevant incentives to overcome them without restrictions of economic growth. Considering the Chinese sustainable development policy, each province should provide the effective ecological regulations that consider the dynamic changes of the economic and ecological indicators of the province’s development. In this case, the paper aims to analyze the relationship between economic growth and environmental quality. The object of the investigation is the Henan provinces of China from 1994 to 2020. The study applied a vector autoregression model between the one-way and two-way relationship analysis, Granger causality test, cointegration test, and impulse response function. The findings confirm that GDP growth causes exhaust gas production and that SO2 will also influence wastewater. The results of the co-consolidation analysis showed that if the production of industrial solid waste gas and SO2 volume increased by 1% each, GDP per capita would increase by 0.22% and 0.35%, respectively. The findings of the variance decomposition of the GDP per capita in the first phase are all due to their perturbation term. The other influencing factors have no influence. Over time, GDP per capita is less and less affected and significantly enhanced by wastewater, exhaust gas, and SO2.

Digitalization has become a key driver of business innovation in recent years. It provides businesses with new opportunities to innovate and create value. Digital technologies, such as cloud computing, big data analytics, and artificial intelligence, have helped businesses boost the development of new products and services, optimize their operations, and improve customer engagement. This study aimed to analyze the impact of digitalization on business performance within business innovation. This study applied an ordinary least square regression model and an intermediary to explore relationship in the chain of digital capability–business model innovation–company performance. The object of investigation was 1663 listed A-share companies Shanghai and Shenzhen in the software and information technology service sectors. The results showed that digital capabilities could be divided into three dimensions according to the hierarchical relationship: (1) basic digital capabilities, (2) digital operation capabilities, and (3) digital integration capabilities, all of which significantly positively affected enterprise performance. Furthermore, while business model innovation significantly positively affected corporate performance, it was also driven by the preceding variables of digital capabilities. Business model innovation enhanced the positive impact of basic digital capabilities, digital operation capabilities, and digital integration capabilities on company’s performance. Considering the empirical results, this study underlines that the government should promote digital skills development, create supportive regulatory environments, promote access to funding for innovations, foster partnerships between businesses and technology providers, and promote collaboration between businesses, which are conducive to extending digitalization within the business innovation model and improving business performance.

The relentless advancement of digital technologies has the potential to significantly reshape the energy landscape as digital technologies become increasingly integrated into diverse sectors of the economy. This study explores the intricate relationship between digitalization and energy in EU countries, focusing on its direct and indirect impacts on energy consumption, structure, and intensity. Furthermore, this study explores the mediating mechanisms that facilitate these changes, including the role of technological innovation and government efficiency in the relationship between digitalization and energy outcomes. Focusing on EU countries and using the system-GMM method, this research accounts for the heterogeneity in the impact of digitalization on energy across various member states. It examines the varying effects in different countries, considering their income levels, environmental regulations, and green investments. The results demonstrate that the strategic deployment of digitalization in EU countries substantially benefits the energy sector. By optimizing energy consumption and enhancing the energy structure through the integration of renewable sources, the EU could move closer to its sustainability objectives.

This paper investigates the impact of renewable energy sources (RESs), CO2 emissions, macroeconomics, and the political stability in a country on the Gross Domestic Product (GDP). The authors analyse the dynamics of RESs use, CO2 emissions, and GDP development and also test the following hypotheses: (1) The country’s economic growth is related to the energy consumption, in terms of both human resources and capital; (2) the share of the renewable energy consumption of the total energy consumption has a positive impact on the economic growth; and (3) the share of the renewable energy consumption of the total energy consumption is unrelated to the economic growth. To test the above hypotheses, the authors use the modified Cobb-Douglas production function, which also considers RES production volumes, CO2 emissions, and economic growth. The study employs data between 1995 to 2015 from the candidate and potential candidate countries for the EU membership. The data are drawn from the World Bank and Eurostat. The analyses entail panel unit root tests, Pedroni panel cointegration tests, fully modified OLS (FMOLS), dynamic OLS (DOLS) panel cointegration techniques, and the Vector Error Correction model (VECM). The findings confirm the relationship between RESs, CO2 emissions, and the GDP. For the EU countries, RESs as human resources and capital have an impact on the GDP. Moreover, the results reveal a correction retraction when the economic growth leads to an increase in renewable energy consumption. The investigation also finds that candidate and potential candidate countries for the EU membership should foster renewable energy development. The authors conclude that developing affordable and effective instruments and mechanisms to boost the RES implementation is necessary to decrease the anthropogenic impact on the environment (in particular, decreasing CO2 emissions) without any attendant reduction in the economic growth.

The ambitious goal of the European Union (EU) countries is to achieve carbon neutrality by providing inclusive economic growth, which requires the development of relevant incentives and initiatives. Furthermore, such incentives and initiatives should guarantee the achievement of the declared goals. Energy sectors are the core determinant of inclusive economic growth. Traditional energy resources (coal oriented) have a higher negative impact on nature and people’s well-being than on economic and social benefits. However, the transition to renewable energy raises new issues in achieving goals of inclusive economic growth: affordable and clean energy, responsible energy consumption, and energy infrastructure. The analysis of the theoretical framework found that the digitalization of government could be a core instrument for handling the abovementioned issues. The paper aims to justify the role of green energy in achieving inclusive economic growth empirically. The study applies the following methods: fully modified Ordinary Least Square (OLS) and canonical cointegrating regression. The findings allow concluding that institutional quality passively affects inclusive economic growth and that the digitalization of government has a U-shaped impact on inclusive economic growth. In this case, countries should boost the digital transformation of public services and continuously increase the quality of institutions.