Nikita M. Shum – Graduate Student of the Far-Eastern Institute of Management, branch of the Russian Presidential Academy of National Economy and Public Administration (Khabarovsk, Russia). E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

The article considers the main issues of formation and development of export potential of Khabarovsk Krai, which hamper the level of foreign trade activities of the region, including sanctions imposed by Western countries against Russia on April 12, 2022, their assessment and ways of solving them. The main measures to improve the problems of export potential of Khabarovsk Krai are also proposed.

Key words. export potential, socio-economic development, foreign trade activity, competitiveness, priority areas, export policy, timber industry.

JEL-codes: R11, R58.

Alexander E. Abramov – Head of Department for Analysis of Institutions and Financial Markets of the Russian Presidential Academy of National Economy and Public Administration, Candidate of Economic Sciences (Moscow, Russia). Е-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Andrey G. Kosyrev – Junior Researcher of the Russian Presidential Academy of National Economy and Public Administration (Moscow, Russia). E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Maria I. Chernova – Senior Researcher of the Russian Presidential Academy of National Economy and Public Administration (Moscow, Russia). Е-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

The new environment calls for a rethinking of economic policy, including measures to support functioning and development of the stock market. Given the specifics of the current crisis, it is unlikely to simply replicate anti-crisis management measures used in the past. Long-term responses need to take into account factors such as the prolonged nature of sanctions, high inflation and increased ruble volatility.

Given that the domestic market will be predominantly driven by domestic private investors, measures should be implemented encouraging their saving, offering reliable and transparent investment products, and reducing the economic and administrative burden on stock market participants. These measures are proposed in this paper.

Key words: stock market, shares, bonds, domestic private investors, sanctions.

JEL-codes: G10, G18, G28, G32.

Ekaterina A. Ponomareva – Head of Research Department on Socio-Economic Regulatory Problems of the Russian Presidential Academy of National Economy and Public Administration, Candidate of Economic Sciences (Moscow, Russia). Е-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

In March-April 2022, the key macroeconomic parameters of the Russian economy changed markedly. TThis affected all industry markets, including the primary housing market. During the coronavirus pandemic, the construction industry was supported by preferential mortgage program. However, current macroeconomic changes suggest a longer and stronger decline in demand for primary housing.

In this connection, it is advisable to consider the possibility of an additional reduction of interest rates under the preferential mortgage program down to 9–10% per annum. It is necessary to adjust the parameters of the monitoring of the financial stability of construction companies in order to forecast the probability of their bankruptcy in the next 6–12 months by including in it the assessment of additional financial parameters of developers and parameters of the macroeconomic environment – the ruble exchange rate and the mortgage rate.

Key words: construction industry, primary housing market, new construction, preferential mortgage.

JEL-codes: R32, R38, E37, C33.

Sergey P. Aukutsionek – Head of Center for Transition Economy Studies, Primakov National Research Institute of World Economy and International Relations, Russian Academy of Sciences, Candidate of Economic Sciences (Moscow, Russia). E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Andrey S. Yegorov – Senior Researcher of the Center for Transition Economy Studies, Primakov National Research Institute of World Economy and International Relations, Russian Academy of Sciences, Candidate of Economic Sciences (Moscow, Russia). E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Inessa A. Bachirova – Senior Researcher of the Center for Transition Economy Studies, Primakov National Research Institute of World Economy and International Relations, Russian Academy of Sciences (Moscow, Russia). E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Tatyana V. Serzhantova – Senior Researcher of the Center for Transition Economy Studies, Primakov National Research Institute of World Economy and International Relations, Russian Academy of Sciences (Moscow, Russia). E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

In February 2022, the diffusion indices of output (56%), wages (55%), orders (53%) and employment (52%) looked quite optimistic. Similar indices of expected changes did not show noticeable dynamics, which cannot be said about the diffusion index of equipment purchases expected in three months, which decreased by 16 points and reached the lowest value since 2016.

The share of enterprises where equipment was not purchased in February and will not be purchased in the next three months reached 46%. Furthermore, the share of enterprises that has not purchased equipment for 2 or more months in a row already amounted to 40%, for the first time since December 2019. The diffusion index of expected in three months incoming prices has reached 100%. In 30 years of observation, this has happened only once – in January 1993. In addition to the fact that all enterprises participating in the survey expect an increase in prices for purchased products in three months, the expected increase of the input prices will be 25%.

Key words: Russia, industry, industrial enterprises, price level, wages, employment, output, investment, indebtedness to banks, order-book level, stocks of finished products, capacity utilization rate, financial situation, production restrictive factors.

JEL-codes: D22, D24, G31, L23, P23.

Kirill V. Rostislav – Researcher of the Russian Presidential Academy of National Economy and Public Administration (Moscow, Russia). E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Yury Yu. Ponomarev – Head of Center for Spatial Economics of the Russian Presidential Academy of National Economy and Public Administration; Senior Researcher of the Gaidar Institute for Economic Policy, Candidate of Economic Sciences (Moscow, Russia). E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Darya M. Radchenko – Researcher of the Russian Presidential Academy of National Economy and Public Administration (Moscow, Russia). E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

The paper presents a spatial simulation model covering 237 cities and towns in 76 subjects of the Russian Federation. The model describes the dynamics of the population and the number of enterprises in the cities, and also makes it possible to make medium-term forecasts with a high degree of accuracy. The work tested hypotheses about the impact on intercity migration and other socio-economic processes that determine the differences between the cities in average wages, the quality of urban environment and other factors, and also considered examples of the application of the model to assess the socio-economic effects of high-speed roads construction (on the example of the Sochi – Tuapse road) and the effects of the closure of city-forming enterprises in several single-industry towns.

The article was prepared in the framework of execution of state order by RANEPA.

Key words: simulation model, migration, cities, single-industry towns, infrastructure projects.

JEL-codes: C63, R12, R23, R32.