This study proposes the concept of Analytic Hierarchy Processing (AHP) on the market of active substances used in treatment of HIV and checks the control factors and criteria interconnection and implements Random Forest forecasting model. The new method must help to improve the management decision-making process in the fields of healthcare government budget planning. It has become a prime concern for understanding and comparing of publicly available information with internal market data and the consequences of companies` and government`s actions in choosing the best approach for correct construction of to reduce HIV incidence in Russia. The paper develops the forecasting model of one of the parameters, which has a substantial role in decision-making process. The medication market data in this study represents the cumulative daily concluded contracts, used in treatment of HIV in Russia, the level of HIV incidence (yearly) and federal budget on healthcare (yearly). The proposed approach have more than 82% average accuracy at predicting the sum of medication contract prices at the 3-year time period. The received figures are effective in predicting the factors` behavior in future. It can be used for improved modulation of AHP and consequently, the overall accuracy of the model structure.

The paper observes the dependence of the main macroeconomic indicators in developing countries from the change in world prices for crude oil. We analyzed a system of simultaneous equations, which makes it possible to verify some of these hypotheses, and developed the model to forecast the impact of oil prices on budget revenues. The practical significance of this work lies in the structuring of existing knowledge on the impact of oil crisis. The results of this work can be considered confirmation of the hypothesis of the sensitivity of U.S. macroeconomic indicators to the dynamics of oil prices. Outcomes assume stable growth even in the period of shock prices for oil, which is confirmed by the statistics that were used in the model. Deep decarbonization modeling is a trend in industrial facilities that are used by developing countries. The major challenge is the issue of availability that is applicable to the countries that want to utilize this facility in their communities. Industrial modeling toward decarbonization is now a developing mechanism to curb the growing issue of atmospheric pollution. This paper proves the relevance of promoting deep decarbonization applied by the developing countries.

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The article discusses the problem of penetration of non-cash payment instruments into the retail market. Settlements without cash facilitate transparency of transactions. Limitation of the allowable amount of cash payment for retail purchases, which has examples in the world, can facilitate counteraction to transactions that hide criminal activity and tax evasion. However, the grounds for large cash payments limitation are convincing when non-cash instruments have penetrated deeply into the small transactions market. Payment cards compete with cash in transactional costs, and their competitiveness depends on the size of interchange fee. The authors assume, that restricting the allowable amount of cash payments would be a rational step for Armenia to restrain shadow economic activity, but non-cash payment instruments should penetrate deeper into the retail market at first. Efficient solutions could be facilitated by a study of costs in the payment system.

Outlook (IEO) presents an analysis of long-term world energy markets in sixteen regions through 2050. • Reference case projections in each edition of the IEO are not predictions of what is most likely to happen, but rather they are modeled projections under various alternative assumptions. • The IEO projections are published under the Department of Energy Organization Act of 1977, which requires that EIA analyze "international aspects, economic and otherwise, of the evolving energy situation" and "long-term relationships between energy supply and consumption in the United States and world communities." • EIA develops the IEO using the World Energy Projection System Plus (WEPS+), an integrated economic model that captures long-term relationships among energy supply, demand, and prices across regional markets under various assumptions. • Energy market projections are uncertain because the events that shape future developments in technology, demographic changes, economic trends, and resource availability that drive energy use are fluid.