No abstract

New industrialisation challenges, turbulent economic environment and opening market niches change the structure of competitiveness factors and determine the innovativeness of industrial development. In the current context, it is necessary to deepen the analysis of industrialisation and innovation performance of regions. Therefore, this study aims to identify industrial and innovative development models present in Russian regions. To this end, we propose a methodology based on assessing the localisation coefficients of both regional industrialisation and innovation performance. Calculation of these indicators resulted in the creation of four models: Model 1 (low industrial development and low innovation performance), Model 2 (low industrial development and high innovation performance), Model 3 (high industrial development and high innovation performance), Model 4 (high industrial development and low innovation performance). The classification of the constituent entities of the Russian Federation according to the industrial and innovative development model shows that more than 40 % of regions use Model 1 and about 12 % of territories use Model 2. Simultaneously, approximately 27 % of regions (including Tula, Lipetsk, Chelyabinsk, Vladimir oblasts, Republic of Bashkortostan) chose Model 3, which most fully meets the new industrialisation challenges. The high stability of this disproportionate structure indicates the absence of positive dynamics and poor balance of industrial and innovation policy measures in most Russian regions in the period 2015–2019. The study results can be used to create an alternative ranking of innovative development of regions. Further research can apply these findings to assess the efficiency of regional industrial and innovation policies.

The growth in the share of industry in the structure of Gross Domestic Product due to an increase in its competitiveness, causes a multiplier effect of accelerating economic growth, reducing unemployment and developing social and transport infrastructure. All these imperatives actualise the task of deepening the analysis of the level of industrialisation and innovative performance of the national economy and its regions. To achieve this goal, a theoretical analysis of the relationship between industrial growth and innovation activity was carried out, and the problems of industrial growth of the Russian economy were identified. The proposed toolkit is based on assessing the level of industrialization and innovative performance of the region. Based on their comparison, four models of industrial and innovative development are distinguished: model of non-industrial development, model of post-industrial development, model of neo-industrial development, and model of industrial development. According to the results of the study, the structure of Russian regions by the type of industrial-innovative development model is relatively stable and insufficiently progressive. Only a third of the regions have high innovative performance. The lack of the required balance between the development of industrial potential and the innovative productivity of Russian regions is associated with the low efficiency of the applied industrial policy measures. The research results can be useful for assessing the quality of industrial growth of regions in countries with transitional economies.

The sustainability of a high-tech business in a competitive environment which has been characterized by high turbulence is mainly due to its ability to adapt to changes that are already underway and anticipate future market transformations. Adaptability is a characteristic of an enterprise which gives by its management system. However, it depends on the state and degree of variability of the competitive environment. Despite the diversity of properties of the competitive environment, in our opinion, its complex characteristic that infl uences the ability of HTC to maintain stability to external changes taking place is turbulence, which has the property of mobility, complexity, uncertainty. Taking into account the analysis of the concept under study in physics and aerodynamics, we can consider turbulence to be irregular in time with the randomness of the fl uctuations of the parameters of the competitive HTC environment. Our methodology for evaluating of CSHTC is based on the principles of complementarily and congruence and is based on measuring the discrepancy between the planned and achieved results on the indicators that are crucial for the key product groups of a high-tech company. Testing methods carried out on the example of high-tech companies in the pharmaceutical sector of the Central Federal District of the Russian Federation.

No abstract