The European energy policy is a core role in the development of the new model of the energy market and carbon-free economy in Ukraine. In the paper, the authors analyzed the key issues on the way to implement the European policy on increasing energy efficiency and green innovations which emphasized in pro et contra. The performance of national energy policy could be limited by the market instruments, the efficiency of the smart grid and perception of innovations in the energy sectors, institutional development in general. Thus, the paper aimed to indicate the impact of green innovations on sustainable development and the country’s energy efficiency for 2000-2019. The authors used economic and mathematical modeling. The Ordinary Least Square Model was used for the integral assessment of energy efficiency policy. The authors analyzed nine sub-indicators from four Sustainable development goals (Affordable and Clean Energy, Decent Work and Economic Growth, Responsible Consumption and Production, Combating Climate Change) and the indicator which characterized the innovation costs of industrial enterprises in the energy sector in Ukraine. The methodological instrument for checking the hypothesis and empirical justification was software stats models в Python 3.6.11. Due to the seven rounds of optimization, the authors developed significant functioning. Considering the finding of Ordinary Least Square Modelling, the authors highlighted the determinants which influenced the efficiency of energy policy: dependence on energy imports by-products, real GDP per capita, and final energy consumption. At the same time, the final energy consumption had less effect on the efficiency of energy policy and demonstrated the negative relationships with energy efficiency. The results of the models were verified using RESET and Jarque-Bera tests and confirmed the correctness of the proposed model. Keywords: energy policy, sustainable development goals, green innovations, energy efficiency.

The purpose of this study is to develop a comprehensive methodological approach to assess the sustainability of the e-commerce business model based on the integration of key performance indicators into a single vector of business model sustainability. The proposed vector approach allows for predicting and evaluating the effects of different kinds of measures, identifying and implementing the most effective tools for sustainable e-commerce business development. The methodology of this study is based on correlation, cluster and regression analysis. The scientific contribution of this study is the proposed methodological approach, which not only allows one to analyze business model sustainability, but also to compare companies in a competitive environment to determine the priorities of their functioning to achieve leadership positions on the background of sustainable development. The correlation analysis proved that in modern conditions, both economic and environmental components are significant for business model effectiveness in e-commerce. The clustering of the studied e-commerce companies provided an opportunity to take into account the peculiarities of the studied companies, to group them by similar performance indicators. This made it possible to develop more accurate regression models for each cluster. In this case, there is a correlation between the sustainability vector of the business model of a company and its assignment to a particular cluster. The conducted modeling and determination of the level of business model sustainability allowed for determining a relationship between it and the performance of e-commerce companies in the context of economic, environmental and social dimensions. At the same time, the results show that increasing the sustainability vector brings a company closer to the business sustainability benchmark.

No abstract

The purpose of this study is to form a forecast of energy consumption at the global level in the long term, taking into account sectoral changes and the identification of possible deviation limits. Projections of total energy consumption at the global level, as well as by sector, were based on correlation analysis, autoregressive modeling, and cluster analysis. The scientific contribution of this study is the formed forecast of energy consumption by regions and sectors until 2050, which is supplemented by clustering. Based on the developed forecasts of global energy consumption with a geographical distribution, the simulated results show that there is a slight increase in energy consumption in Europe compared to the other regions under study. The most significant increase in energy consumption is predicted in the Middle East. The study indicates the risk of exceeding the volume of energy consumption compared to the forecasts of international organizations, which were formed in previous years. The clustering showed the possible stratification of the world community in the context of energy consumption, which signals the migration of values of countries in the context of energy supply and increasing sustainability of the external environment.