Abstract

The article is devoted to the analysis of implementation efficiency of the housing policy in Russia as the mostimportant direction of the state economic policy. It is noted that all countries rec-ognize the importance of housingsecurity for the health of the nation and economic growth. The studies have shown that problems of housingdevelopment, including the availability and ade-quacy of housing are among the national priorities in the stateeconomic policy and are imple-mented throughout a system of strategic documents and national projects thatdefine goals, ob-jectives, directions and target indicators of the state housing policy. The article shows a system oftarget indicators for the development of the housing sector, which allow us to assess the effec-tiveness of housingpolicy in Russia. The most important indicators are the volume of housing construction and the average housingavailability. Based on the official statistical data of the Federal State Statistics Service (Rosstat) and the Bankof Russia, the analysis of the dynamics of housing construction development is carried out and the main trendsin housing construction were identified, such as: increased spatial heterogeneity in the distribution of housinginvest-ments, a decrease in the volume of housing construction, an increase in demand for new housing, anda deterioration in the typological structure of built housing. The article shows the impact of project financing and thereduction of mortgage rates on the housing construction dynamics. Us-ing methods of correlation-regression andfactor analysis, as well as scenario approach a forecast of achievability of the target indicators for the developmentof the housing sector in Russia is made. It is concluded that it is essential to adjust the strategic target indicatorsof housing con-struction as well as the state housing policy. Measures to improve availability and adequacy ofhousing for the Russian population are proposed.
 Acknowledgments. The reported research was funded by Russian Foundation for Basic Research and by theTomsk Region Government, grant No. 18-410-700013

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