The relevance of this study is due to the unprecedented level of sanctions pressure on the Russian Federation. This has led to a need for a fundamental re-evaluation of approaches to assessing the effectiveness of industrial policies aimed at ensuring the country’s technological security. Currently, existing assessment methods suffer from a lack of coherence and insufficient consideration for the specific nature of sanctions restrictions. This significantly reduces the efficacy of monitoring efforts in terms of technological safety. The object of the study is the system of industrial policy of Russia in the field of ensuring technological safety in the context of sanctions pressure. The subject of the study is the criteria for assessing the effectiveness of industrial policy measures to ensure technological safety and methodological approaches to their formation. The purpose of the study is to develop a comprehensive system of criteria for assessing the effectiveness of industrial policy in Russia under sanctions pressure based on improving methodological approaches to determining threshold values and a multi-level structure of technological safety indicators. The methodological basis for this study is the integrated use of a zonal-threshold approach, which includes single-threshold, two-threshold, and multi-threshold assessment options. This approach is based on strategic documents of the Russian Federation and statistical data from Rosstat. The conducted analysis revealed the possibility of using criteria at the macro-, meso- and micro-levels of the economic system. A comprehensive system of new criteria in five strategic areas with the introduction of a specialized “sanction functional criterion” was developed. Scientific novelty lies in the integration of the zonal-threshold approach with a multi-level structure of criteria and the development of fundamentally new tools for monitoring technological security. Practical significance is determined by the possibility of direct implementation of the proposed system in public administration mechanisms.
Muzalev et al. (Sun,) studied this question.