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RAR RUS 8-19 W-8013-2019 57203897426 0000-0002-9703-5079 Peter the Great St. Petersburg Polytechnic University, Russian Federation Gintciak Aleksei gintsyak_am@spbstu.ru S-8668-2017 57194696524 orcid.org/0000-0001-7171-7357 Peter the Great St.Petersburg Polytechnic University, Saint-Petersburg, Russia Skhvediani Angi shvediani_ae@spbstu.ru

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0000-0002-2993-6473 Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russian Federation Fedyaevskaya Darya 0000-0002-5680-1937 Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russian Federation Burlutskaya Zhanna 0000-0002-6972-2082 Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russian Federation Rodionova Maria Data Storage and Statistical Data Processing Tools for Solving the Tasks of Managing Regional Innovation Systems Digital platforms, as an example of digital tools for data handling, provide an entire cycle of working with data, from data acquisition, processing, and storage to visualisation and software simulation. The digital platform comprises a data storage and processing system that ensures compliance with data usage protocols by other modules of the digital application. Moreover, such data storage and processing systems should be adapted to multi-user work with large amounts of data, which are assumed to be part of the operation of the digital platform. The purpose of this article is to describe the design and software implementation of a data storage and processing system for a digital platform capable of analysing regional innovative development levels. The data storage and processing system was developed based on the data structure and features, as well as on the requirements for data operation. The development process is presented in the form of the implementation of sequential steps, starting with the analysis of the requirements for the data storage and processing system for the proposed digital platform, the development of an ER diagram, and an infological and logical data model. The description ends with a discussion of the software tools and the physical implementation of the system. This article discusses an approach to data storage system design based on the analysis of data features and structure, as well as the proposed algorithm for data handling. The approach offers the advantages of solution flexibility and scalability, as well as user convenience, which consists of a query structure adapted to the appropriate specifics. 10.48554/SDEE.2023.4.1 330.3 database digital platform data curation data processing design database digital technologies https://sustainable.spbstu.ru/article/2023.10.1/ 4_1.pdf

RAR RUS 21-34 Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Government of the Republic of Bashkortostan, Ufa, Russian Federation Nazarov Andrey Peter the Great St.Petersburg Polytechnic University, Russia Zhogova Elena Forecasting the Financial Performance Dynamics of a Present-Day Industrial Enterprise in Today’s Market Forecasting financial performance dynamics is one of the most fundamental processes for analysing the development trends of any company. For large-scale forecasting, however, it is necessary to consider numerous relevant factors, including the external environment in which a company operates. This particular factor has proven the most vital aspect to consider, because even minor environmental shifts shape the entire development trajectories of all industries and enterprises involved. What is more, the ability of an industrial enterprise to adjust to external environmental changes of any sort represents a prerequisite of successful competition and increased investment prospects within the framework of newly emerging challenges and resources, both digital and technological. In this research, the authors aim to investigate the external environment of a particular industrial enterprise and to assess the prospects of its strategic development, accounting for the innovations introduced by digital technologies and industrial revolutions. As a result, this research suggests a range of measures for enterprises to stabilise the internal environment, thus contributing to the dynamic stability of business models. Overall, combining scientific analysis with these stabilising measures justifies the statement that the development strategies and management approaches of industrial enterprises must be consistent and co-integrated. 10.48554/SDEE.2023.4.2 336 financial performance financial indicators digital transformation industry enterprise https://sustainable.spbstu.ru/article/2023.10.2/ 4_2.pdf

RAR RUS 36-53 A-9693-2017 56087793300 0000-0002-1254-0464 Peter the Great St.Petersburg Polytechnic University, Saint-Petersburg, Russia Rodionov Dmitrii drodionov@spbstu.ru

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Peter the Great St.Petersburg Polytechnic University, Russia Konnikov Evgenii St. Petersburg State University of Economics, Saint Petersburg, Russia Konnikova Olga Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russian Federation Smirnova Irina 0000-0002-7006-6828 Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russian Federation Kryzhko Darya Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia Brazovskaia Viktoriia The External Environment’s Influence on RES Development Intensity The increasing energy consumption associated with scientific and technological progress has led to environmental concerns. The transition to renewable energy sources is a potential solution to mitigate the negative effects of energy consumption. This study’s objective is to determine the factors influencing the presence of renewable energy in countries’ energy systems and to describe the pattern of their influence. The validated regression model has a high coefficient of determination of 0.9034, indicating the model’s reliability in identifying factors influencing the presence of renewable energy in energy systems. The countries were divided into three groups based on their renewable energy usage level using cluster analysis, indicating the importance of the current usage for further development. The study found that the Human Development Index (HDI) is correlated negatively with the share of renewable energy in energy systems. An increase in the innovation index leads to the development of renewable energy. This study allows for an in-depth analysis of the individual countries in the sample and provides meaningful insights into the current state of renewable energy globally. Overall, this research helps to understand the factors influencing renewable energy usage, and the findings can be used to inform policy decisions regarding renewable energy development. 10.48554/SDEE.2023.4.3 620.9 renewable energy regression cluster analysis human development index innovation https://sustainable.spbstu.ru/article/2023.10.3/ 4_3.pdf

RAR RUS 54-63 Local Administration of the municipal formation municipal district Posadsky, Saint-Petersburg, Russia Sidorenko Yulia A Methodology for Assessing the Harmonisation Level of Industrial and Trade Policies The paper examines the existing approaches to developing a methodology for determining the level of policy harmonisation. The author suggests a methodology based on the rating method for assessing the level of harmonisation of the components of the industrial and trade policy of St. Petersburg at the institutional level. A scale for quantitatively and qualitatively assessing the harmonisation of industrial and trade policies at the institutional level has been developed. An assessment of the harmonisation of institutional support for industrial and trade policies of St. Petersburg at the federal and regional levels was made. The author developed criteria for harmonising industrial and trade policies which are based on the mutual orientation of the goals and objectives of industry and trade development, the comprehensiveness and systematic use of support measures and the effectiveness of the pursued policies. The principles of uniformity, goal setting, consistency, rationality and mutual socio-economic conditionality can be used to harmonise the industrial and trade policies of the constituencies of the Russian Federation. To assess the level of harmonisation of industrial and trade policies, the indicator of the ‘the share of locally produced goods in the region’s trade turnover’ has been proposed and a scale of qualitative characteristics of the level of harmonisation has been developed. The author suggests a list of indicators for assessing the socio-economic effect of the harmonisation of St. Peterburg’s industrial and trade policies based on the light industry sector. 10.48554/SDEE.2023.4.4 338.2 methodology for assessing harmonisation policy harmonisation trade policy industrial policy institutional support for industrial and trade policy light industry https://sustainable.spbstu.ru/article/2023.10.4/ 4_4.pdf

RAR RUS 65-80 Nizhny Novgorod State University named after N.I. Lobachevsky, Nizhny Novgorod, Russian Federation Koshelev Egor Model of Motivation for the Top Management of Regional Government Agencies The purpose of the study is to create a model of motivation for the top management of regional government agencies under which the non-material motivation of top managers will be made dependent on the achieved strategic potential of the region and their material motivation. For this purpose, it is necessary to solve a three-objective problem of global optimisation for the coefficient of natural population growth using a multi-objective genetic algorithm. Each of the three objectives – the strategic potential of the region and the material and non-material motivations of top managers – depends on three factors in the same coordinate system. The first three of the nine factors characterise the system of non-material incentives for top managers in government agencies, the next three refer to the system of their material incentives, and the last three apply to the available strategic potential of the region necessary for its further successful development. The creation of multiple effective solutions using the Pareto front is performed for two primary objectives, namely, the strategic potential of the region and material motivation of top management; then, as a consequence, a set of optimal solutions for non-material motivation is obtained. The conclusion about the actual remuneration (incentives) of the top managers at government agencies in the regions is as follows. For each of the three objectives in a particular region, the latest actual values of the nine factors under study are compared with the nearest planned (optimum) values of the Pareto front. A positive deviation from the optimum is evaluated positively, which makes it possible to additionally incentivise top managers either materially or non-materially. 10.48554/SDEE.2023.4.5 332.142.2 material motivation non-material motivation multi-objective genetic algorithm pattern search https://sustainable.spbstu.ru/article/2023.10.5/ 4_5.pdf