Andrei A. ZAITSEVPeter the Great St. Petersburg Polytechnic University, St. Petersburg, Russian Federation andrey_z7@mail.ru ORCID id: not available
Subject. This article discusses the innovation activities of companies participating in clusters. Objectives. The article aims to justify a choice of State support facilities for the innovation activities of enterprises participating in clusters. Methods. For the study, we used the hierarchical aggregated indices randomization method and Monte Carlo method. Results. During the study of cluster construction in St. Petersburg, an array of data was obtained. Based on calculations, we show the choice of two enterprises, the best ones in terms of assessing the probability of dominance. We justify the possibility of using such a characteristic of randomized aggregated indices as the value of mathematical expectation, as a choice criterion. Conclusions. The algorithm developed to apply the aggregated indices randomization method develops an institutional approach to the analysis of regional clusters.
Keywords: aggregated indices randomization method, AIRM, Monte Carlo method, innovation cooperation, cluster, State support
References:
Kobzar' A.I. Prikladnaya matematicheskaya statistika. Dlya inzhenerov i nauchnykh rabotnikov: monografiya [Applied mathematical statistics. For engineers and scientists: a monograph]. Moscow, Fizmatlit Publ., 2012, 816 p.
Kolodko D.V. [Multi-criteria selection of an investment project using the randomized general indices method]. Upravlenie ekonomicheskimi sistemami, 2019, no. 3. (In Russ.) URL: Link
Kolodko D.V. [Hierarchical method of randomized composite indicators and its application for comparison of investment attractiveness of the projects]. Teoreticheskaya i prikladnaya ekonomika = Theoretical and Applied Economics, 2020, no. 1, pp. 111–131. (In Russ.) URL: Link
Cramér H. Matematicheskie metody statistiki [Mathematical Methods of Statistics]. Moscow, Mir Publ., 1975, 643 p.
Khovanov N.V. Analiz i sintez pokazatelei pri informatsionnom defitsite: monografiya [Analysis and synthesis of indicators in information deficit: a monograph]. St. Petersburg, Saint Petersburg State University Publ., 1996, 196 p.
Coase R.H. Firma, rynok i pravo [The Firm, the Market and the Law]. Moscow, Delo Publ., 1993, 192 p.
Williamson O.E. Ekonomicheskie instituty kapitalizma: firmy, rynki, “otnoshencheskaya” kontraktatsiya [The Economic Institutions of Capitalism. Firms, Markets, Relational Contracting]. St. Petersburg, Lenizdat Publ., 1996, 702 p.
North D.C. Instituty, institutsional'nye izmeneniya i funktsionirovanie ekonomiki [Institutions, Institutional Change and Economic Performance]. Moscow, Nachala Publ, 1997, 180 p.
Rodionov D.G., Kichigin O.E., Selentieva T.N. [Conditions for emergence of clusters in the market of monopolistic competition: an institutional approach]. Nauchno-tekhnicheskie vedomosti Sankt-Peterburgskogo gosudarstvennogo politekhnicheskogo universiteta. Ekonomicheskie nauki = St. Petersburg State Polytechnic University Journal. Economics, 2018, vol. 11, iss. 6, pp. 54–68. (In Russ.) URL: Link
Rodionov D.G., Kichigin O.E., Selentieva T.N. [Features of assessing the competitiveness of innovative regional clusters: an institutional approach]. Nauchno-tekhnicheskie vedomosti Sankt-Peterburgskogo gosudarstvennogo politekhnicheskogo universiteta. Ekonomicheskie nauki = St. Petersburg State Polytechnic University Journal. Economics, 2019, vol. 12, iss. 1, pp. 43–58. (In Russ.) URL: Link
Kudryavtseva T., Olaniyi E.O. Identification and Analysis of the Cluster Structure of a Territory and its Impact on Regional Development: An example of Russia. Journal of Advanced Research in Law and Economics, 2019, vol. 10, iss. 4, pp. 1322–1337. URL: Link.33
Rodionov D.G., Kudryavtseva T.Yu. [Mechanism and principles of cluster industrial policy formation]. Innovatsii = Innovations, 2018, no. 10, pp. 81–87. URL: Link (In Russ.)
Kudryavtseva T.Yu. [Cluster as institutional form of market organization]. Obshchestvo. Sreda. Razvitie = Society. Environment. Development, 2018, no. 3, pp. 3–9. URL: Link (In Russ.)
Skhvediani A.E., Kudryavtseva T.Yu. [Analysis of the relationship between cluster specialization and gross regional product]. Nauchno-tekhnicheskie vedomosti Sankt-Peterburgskogo gosudarstvennogo politekhnicheskogo universiteta. Ekonomicheskie nauki = St. Petersburg State Polytechnic University Journal. Economics, 2018, vol. 11, iss. 5, pp. 66–73. (In Russ.) URL: Link
Kudryavtseva T.Yu., Skhvediani A.E. [Studying regional clusters with the use of data processing systems: The case of the biopharmaceutical cluster]. Regionologiya = Russian Journal of Regional Studies, 2020, vol. 28, iss. 1, pp. 48–79. (In Russ.) URL: Link
Kutsenko E., Islankina E., Abashkin V. The Evolution of Cluster Initiatives in Russia: The Impacts of Policy, Life-Time, Proximity and Innovative Environment. Foresight, 2017, vol. 19, iss. 2, pp. 87–120. URL: Link
Zemtsov S.P., Barinova V.A., Pankratov A.A., Kutsenko E.S. [Potential high-tech clusters in Russian regions: from current policy to new growth areas]. Forsait = Foresight and STI Governance, 2016, vol. 10, no. 3, pp. 34–52. (In Russ.) URL: Link
Kutsenko E.S. [Pilot innovative territorial clusters in Russia: A sustainable development mode]. Forsait = Foresight and STI Governance, 2015, vol. 9, no. 1, pp. 32–55. (In Russ.) URL: Link
