The study reviews approaches to macro-economic and macro-territorial modelling presented in international and Russian economic publications. We focus on opportunities to improve forecasting the development of economic system in Russia at the macro-economic, inter-sectoral and inter-regional levels. We described dynamic macro-economic, inter-sectoral and inter- regional models developed in the Institute of Economics and Industrial Engineering of the Siberian Branch of the Russian Academy of Sciences (IEIE SB RAS). We analyse more in details three complex models proposed in IEIE SB RAS: CAISI (comprehensive analysis of inter-sectoral information), SRNES (synthesis of regional and national economic systems) and CSNES (coordination of sectoral and national economic solutions). We consider theoretical foundations of the complex models and their application in analysing and forecasting economic system development at various levels. The three complex models are based on different basic models that influence their development. IEIE SB RAS has been developing a two-level system of forecasting models, which combines advantages of dynamic stochastic general equilibrium models and dynamic input-output models applied in the CAISI system. The paper describes theoretical foundations of the SRNES system, whose latest versions are premised on the general equilibrium and cooperative games theories. Then, we characterised the most developed elements of the complex model CSNES, which has the CSNES-TEK subsystem used in forecasting developments in the fuel and energy industry of Russia’s territories and SIBARP (balance calculation system for the future). The conclusion outlines directions for further research on improving the methods of macro-economic, inter-regional, and inter-sectoral forecasting based on harmonisation of analytical and forecast calculations performed using the CAISI, SRNES and CSNES systems. The results of forecast calculations using the two-level system of macro-level models can be applied in the complex models SRNES and CSNES to ensure coordination between the forecasts of socio-economic development of the Asian part of Russia and projected dynamics of macro-indicators.

Russian regions are known to be economically different. While economic inequality is quite natural for a large country, it can lead to depopulation of less developed regions. Thus, the scale of this phenomenon should be assessed and taken into account in development programmes of the Eastern regions of Russia. The study aims to examine population dynamics and migration processes occurring in Asian Russia in the first decades of the 21st century, focusing on the role of human capital at different stages of regional economic development. Migration losses and gains of Asian Russia were estimated based on information on internal migration of the population by education level and the author’s approach to assessing the accumulated human capital. The calculations confirm a hypothesis that losses from the population outflow in the studied region exceed its gains from the inflow, negatively influencing the possibilities of accelerated economic growth. The conducted research presents new results concerning the outflow of human capital from Asian Russia in the period after 2008. Considering foreign experience in reducing negative effects that have also been recently observed in the region, it is proposed to intensify efforts in three major areas: new knowledge as a factor of spatial connectivity; consolidation of the population; implementation and support of economic activity in Asian Russia. The calculation results can be used in development programmes of the Eastern regions of Russia.