The purpose of the paper is to study the trends in the development of the Cashless Global Economy and the prospects for the formation of the Cashless Economy of Ukraine. Methodology. The survey is based on the economic analysis of indicators of the number of debit and credit cards, the use of contactless payments, the spread of payments through mobile devices, and the volume of cashless transactions. The targeted indicator (target) of the cashless payments in Ukraine in 2020 and the share of cash in GDP will be no less than the average meaning in European Union. Results of the survey showed the identification of advantages and threats of the cashless economy and in the formation of the digitalization development activities. Practical implications. Proposals for the development of cashless payments can be implemented in the monetary policy of Ukraine. Value/originality. Increase in cashless payments in the economy, in the payment for goods and services, e-commerce, consumer crediting, social payments, pensions, and subsidies will lead to economic growth increase and integration processes in Ukraine.

Introduction. The relevance of the study is due to the need to select management tools for the formation of environmentally conscious consumption of the fashion industry products, which is developing dynamically and rapidly, which will contribute to the preservation of the resource potential of not only the country but also the planet as a whole. Purpose and methods. The purpose of the article is to substantiate the role and importance of eco-products, conscious consumption, and management in the context of the fashion industry’s sustainable development. The methodological basis of the study is an interdisciplinary approach to the consideration of the problem of managing the conscious consumption of eco-fashion products when its economic, environmental, technical, organizational, social, psychological, and physiological functions are realized in the relationship. Results. Perspective trends in the fashion industry development from the point of view of conscious rational and ecological consumption of clothing have been identified. The role of a socially responsible attitude to clothing production, which affects the ecology of the environment, is substantiated. The theoretical bases of sustainable development and progress of the Ukrainian fashion industry on the example of formation and promotion of Ukrainian designers’ fashion brands are considered. Conclusions. As a result of the conducted study, the main motives for creating eco-products in the fashion industry, as well as the main environmental concepts, are outlined. The importance of choosing optimal tools and management strategies aimed at greening the production of eco-products was determined by the fashion industry enterprises. The scientific novelty of the study consists in the interdisciplinary deepening of the theoretical provisions of production management and conscious consumption of the fashion industry eco-products in the conditions of greening the public space.

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The article considers methodological approaches to assessing the level of development of economic systems in the context of increasing the accuracy of forecasts in unpredictable socio-economic conditions in particular taking into account the impact of unforeseen environmental risks and disasters. The author's used methods to approximate economic criteria with the help of neural networks. Analyzing the criteria of economic development of different countries, as well as taking into account the factors of the macroeconomic environment, a neural network approximation model of risk forecasting in the economic development of the country has been developed. To date, a large number of mathematical forecasting methods are known, and experts in the world economy use appropriate risk assessment criteria, but the neural network is used when the exact type of connections between inputs and outputs is unknown, which allows us to create a more accurate and flexible forecast model. The modeling takes into account the main weights that determine the degree and the priority of the impact on each component of the economic system and characterizes the complex macroeconomic relationships to determine the aggregate indices.