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Моделирование и долгосрочное прогнозирование экономики Дальнего Востока России: методология и инструментарий

Моделирование и долгосрочное прогнозирование экономики Дальнего Востока России: методология и инструментарий

Abstract

The scene modeling of long-term economic indicators with the usage of mathematical models “input-output” and the methods of entropic modeling in the conditions of insufficient statistic data for the economics of the Russian Far East was completed. Foreign trade relations structure transformation, technological changes and transport costs savings, modeling in the way of the shifts in the components of final demand and direct expense ratio were considered as the scenario. Scope of research development of scientifically reasonable forecasts of development of economy of the Far East and other macroregions on the basis of mathematical methods and models.

Выполнено сценарное моделирование экономики Дальнего Востока России на долгосрочную перспективу с использованием математических моделей «затраты-выпуск» и методов энтропийного моделирования в условиях неполноты статистических данных. В качестве сценариев рассмотрены трансформация структуры внешнеторговых связей, технологические изменения и сокращение транспортных издержек, моделируемые путем изменения компонент конечного спроса и коэффициентов прямых затрат. Сфера применения исследования разработка научно обоснованных прогнозов развития экономики Дальнего Востока и других макрорегионов на основе математических методов и моделей.

Keywords

МЕЖОТРАСЛЕВАЯ МОДЕЛЬ,ЭНТРОПИЙНОЕ МОДЕЛИРОВАНИЕ,ТАБЛИЦЫ "ЗАТРАТЫ-ВЫПУСК",ДОЛГОСРОЧНОЕ ПРОГНОЗИРОВАНИЕ,РЕГИОН,ДАЛЬНИЙ ВОСТОК РОССИИ

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average