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The article reveals the possibilities of using the Russian system of input-output tables and intersectoral models for analytical and forecasting purposes and substantiate managerial decisions in the fild of economic policy. It is shown how the input-output method’s capabilities were implemented at three stages of the development of intersectoral research in Russia, taking into account the specifis of the problems being solved and the development of the statistical base. The primary attention authors paid to the current stage of developing the method and its use directions. A characteristic is given of the constraints objectively inherent in this method and the input-output tables’ information system (IOT). The authors’ position regarding their signifiance is expressed. A new direction in using data from the IOT system is considered — the analysis of the fial product’s cost as accumulated value-added, which implies a full use of the analytical potential of modern input-output tables. Proposals are given for improving the intersectoral toolkit based on taking into account the links between production, the need for investment and the state of the production and technical base.

The article is devoted to the development of indicators of the quality of economic growth. The authors associate the primary practical purpose of the system of indicators of the quality of economic growth with improving information and scientific and methodological support for the process of developing and implementing decisions of the state’s economic policy. We considered methodological aspects of compiling a system of indicators of the quality of economic growth, described problems in this area, and proposed approaches to their solution. Further, we gave estimates of factors that determine the dynamics of economic growth. We have provided a special place to the discussion of controversial issues in the field of assessing the quality of economic growth, including the problem of reconciling the idea of inclusive development and endogenous growth model of the Russian economy. It also includes approaches to the innovative factor in development outcomes that reflect the regional dimension in the system of quality indicators of economic development. The authors present and justify their views on several controversial issues, continuing the discussion of this topic that began in the framework of the Efimov Readings II (2019).