Author
Author's articles (2)
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#1 / 2021 Category: REGIONAL SOCIAL AND ECONOMIC PROBLEMSA change in values of modern society has led to the transformation of economic development models based on the greening of industrial activities. This problem is particularly relevant for industrial regions, including the Urals, where environmental pressure mostly depends on the mining and metallurgical industry, which is a source of industrial waste. In this regard, we develop a methodology for assessing environmental and economic efficiency of technological solutions for processing industrial raw materials. The research methodology is based on the theory of industrial production efficiency, sustainable development theory and circular economy principles. To assess the efficiency, we applied the methods of comparative, structural and logical, economic and statistical analysis, as well as real options method. The comparative analysis revealed various trends in the generation, recycling, and accumulation of waste from mining and smelting activities in the whole Russia and the Middle Urals in the period 2013–2019. The industrial waste of the Urals is unique in terms of its multicomponent composition, including ferrous, non-ferrous and rare-earth metals. Thus, the real options method is optimal for assessing the efficiency of recycling industrial waste. The analysis of the approaches to the assessment of environmental and economic efficiency confirmed that traditional methods based on cost indicators are unreliable compared to the real options method. We described the main stages of this method and developed an algorithm for assessing environmental and economic efficiency of processing industrial raw materials. Further, we identified the real options for processing industrial resources of steel production that influence managerial decisions in a changing environment. Due to the versatility of the developed method, which considers both external uncertainty and requirements of advanced technologies, we recommend using this method for selecting effective investment projects aimed at processing industrial raw materials.
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#3 / 2021 Category: For the 50th anniversary of the Institute of Economics of the Ural Branch of RASIn the context of increasing economic and political risks, industry is a reliable guarantor of sovereignty of any country that ensures a decent standard of living for its population. The paper examines current global trends of industrial transformation and its regional aspects. The study aims to systematise scientific approaches to determining regional priorities, mechanisms of industrial development and criteria for optimal spatial location, as the evolution of the industrial system leads to their changes. A method of systematic literature review (SLR) was applied based on the analysis of publications relevant to the research purpose and objectives. Modern scientific literature has developed a whole range of concepts to characterise the existing industrial processes: the fourth industrial revolution, Industry 4.0, digital transformation of industry and new industrialisation. The analysis of publications has shown that these concepts are often mixed, thus, this research presented their definitions, areas of intersection and differences. Additionally, the study discusses approaches to regional industrial development and spatial location of industries, which were formulated in the scientific literature in the period 2011–2021. Three concepts revealing regional aspects of modern industrial development — regional industrial path development, «smart» specialisation and regional industrial identity — were critically analysed. The review of foreign and Russian publications can be used to substantiate niche segments of regional industrial research. The paper identified the following study areas: development of methods for choosing a new industrial path; justification of regional priorities according to “smart” specialisation; creation of effective mechanisms for implementing regional industrial and innovation policies; analysis of correlations between cluster configurations and regional innovation activity.