This paper estimates the capacity utilization rate for Russian manufacturing. We also propose a way to build continuous production capacity time series and indicators to describe the basic characteristics of production capacity. The data come from form 1-natura-BMoftheRussianFederalStateStatisticsService.Ourfindingsonthetrends andstructuralcharacteristicsofproductioncapacityareshowntobesignificantforeconomic policy since we found that in recent years capacities utilization rate in Russian manufacturing industry has been not extremely high and that there is a strong correlation notonlybetweencapacitiesutilizationrateandinflationratebutbetweencapacitiesutilization rate and capacities commissioning intensity as well. ©2017Non-profitpartnership"VoprosyEkonomiki".HostingbyElsevierB.V.Allrights reserved.

В статье с использованием методологии межотраслевого анализа уточняются представления о значимости отраслей в качестве потребителей и производителей промежуточной продукции и оценивается влияние интеграции в торговле товарами со странами Евразийского экономического союза (ЕАЭС) на выпуск и отдельные экономические показатели для России по видам деятельности. Показано, что структура выгод от торговой интеграции трансформируется при переходе к анализу в терминах добавленной стоимости: в химическом комплексе и машиностроении выгоды сокращаются, несмотря на сохранение лидирующих позиций этих отраслей, а в сфере услуг и промежуточных производствах, и прежде всего в добыче полезных ископаемых, - напротив, растут.

Based on its definition of industrial sector competitiveness the paper presents a "competitiveness chart" of branches of industry as per postcrisis status and points out key contributing factors in the success/failure of industry groups. Development opportunities and threats of branches of industry are analyzed, leading to a long-term industry "competitiveness chart." A detailed SWOT analysis is made of the strengths, weaknesses, opportunities, and threats for a number of key industries.

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The paper estimates capacity utilization rate in Russian manufacturing. We also propose the way of building continuous time series of production capacity and analytical indicators used to describe the basic characteristics of production capacity. The data comes from statistical form No. 1-Natura-BM of Russian Federal State Statistics Service. Our findings about trends and structural characteristics of production capacity are shown to be significant for economic policy.

The paper describes the experience of analyzing and forecasting various aspects of Russian economy based on input−output tables (1st and 2nd quadrants) estimated by the authors from Center for Macroeconomic Analysis and Short-term Forecasting of the Institute of Economic Forecasting of the Russian Academy of Sciences for the period 1995-2016.