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.

In the context of globalisation, there is a need to assess the difference between domestic and world price effects as an im- portant component of the economic analysis of investment projects. We developed an integrated approach to measuring the differences between commercial and public efficien cy (indicati ng pri ce effec ts) and substantiat ing the applicat ion of specific mechanisms for implementing relevant projects based on the principles of public-private partnership. We propose to estimate price effects using three interrelated models: financial and economic model, input-output multi-regional model, and econometric model. The combination of these models allows analysing large investment projects considering their influence on the develop- ment trends of the global, national and regional economy. This methodology was tested on the example of a real regional project for the construction of the Eastern Siberia — Pacific Ocean (ESPO-2) oil pipeline. The results show that the share of price effects amounted to more than 35 % of net present value within the framework of public efficiency, confirming their high significance. Tax price effects have the largest share in the structure of the price effects. Indirect price effects of the considered project are less significant. The research results have confirmed that the identification of indicators of public efficiency and in-depth analysis of price effects increase the validity of the assessment of regional infrastructure projects. In the future, we plan to use the proposed methods as an integral part of a comprehensive assessment of large-scale production, transport and research infrastructure projects.

A strategy for improving export and import of Russian regions requires the identification of macroeconomic factors affecting their foreign trade. According to the scientific principle of deduction (from general to particular), trends observed in highly aggregated objects should be assessed first. Time series for foreign trade of the Siberian Federal District were analysed and compared with those of the Russian Federation, Central Federal District and the city of Moscow. Methods of comparative, structural, expert analysis, statistical estimation and econometric modelling are utilised in the research. The study demonstrates that the separation of profit centres and production sites through legal registration of company head offices (the mechanism called «administrative resource») negatively affects regional exports, as well as other aspects. 2018–2019 ratings of Russian regions in terms of production, volume of operations and gross regional product (GRP) per capita revealed the centre’s monopoly in the mining and manufacturing sectors, causing further centralisation of regional budgetary resources. Application of the method of stepwise regression based on partial correlations demonstrated the significant influence of world oil prices and the weak impact of sanctions for Russian trade. It was statistically confirmed that trade in the Siberian Federal District primarily depends on world metal prices, and then the rouble exchange rate, while the influence of the price of oil, whose export was practically taken out of the region, is quite weak. The proposed combination of profit centres with places of its generation is considered as an effective tool for regional equalisation of the foreign trade effect, aimed at overcoming the socio-economic heterogeneity of regions without involving the federal budget. The obtained results can be used by government bodies and research centres for developing regional strategies.