Energy stability and decarbonization in developing countries: Random Forest approach for forecasting of crude oil trade flows and macro indicators

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