Journal of Applied Economic Research
ISSN 2712-7435
Сluster Model of Development the Informatization Process in Industrial Branches as a Mechanism to Accelerate the Growth of the Industrial Regions Economies
Kadtsyna E.S.
Abstract
This article considers the effectiveness of the informatization process in industrial regions. The problem of studying the effectiveness of information and technological processes taking place in regional economic systems is relevant and is in the development stage. However, methodological justification and a practical toolkit for assessing their effectiveness are needed, as well as suggestions for optimization mechanisms. The research objectives were to justify the effectiveness of information and technological processes for the development of an industrial region's economy, to suggest ways of optimizing and improving efficiency, to develop a mechanism that would accelerate the regional economic system development based on the process of industrial sectors informatization. To achieve the set objectives, an economic interindustry cluster model is proposed, which includes the sector of heavy industry and the information and technological sector of the Urals Federal District economy, as well as a methodology for assessing the effectiveness of the cluster operation mechanism. As a result of modeling, the development of information and technological processes in a simulated cluster, the economic effect of the informatization process for the sector of heavy industry were determined in a practical way. The current state is modeled and long-term scenarios are predicted with the definition of change in performance indicators. A variation of development optimization based on comprehensive measures of state support is proposed, which can have an accelerating effect on economic development in comparison with the result of the scenario forecast without providing the cluster subjects with support and preferences. Thus, a mechanism has been developed that represents a potential opportunity to accelerate the region's economy development based on the informatization process with introduction of information technologies into economic activity. In view of the fact that the investigated heavy industry branch is the engine of the industrial region economy, development acceleration in this sector will have a direct accelerating effect on the regional rates of economic development as a whole. To implement the proposed mechanism, the cluster form of relationships is an effective tool that stimulates entities through preferences and financing to embrace information technology, and, above all, innovation. Based on the results obtained, justification for the information and technological industrial cluster formation in order to work out the strategic development regional programs of industrial regions is presented.
Keywords
interindustry cluster; information technology; informatization; IT sector; sector of heavy industry; technological changes; innovation; modeling; forecasting; cluster model
References
1. Gurstein, M. (2003). Effective Use: A Community Informatics Strategy Beyond the Digital Divide. First Monday, Vol. 8, No. 12. Available at: firstmonday.org/ojs/index.php/fm/article/view/1107/1027.
2. Bellone, F. (2007). IT adoption, industrial structure and agglomeration economies. Knowledge Externalities, Innovation Clusters and Regional Development. Ed. by J. Surinach, R. Moreno, E. Vaya. Northampton, Edward Elgar Publishing, 92–110.
3. Cappellin, R., Wink, R., Walukiewicz, S. (2009). The approach of knowledge networks in innovation policy. International Knowledge and Innovation Networks: Knowledge Creation and Innovation in Medium-technology Clusters. Ed. by R. Cappellin, R. Wink. Northampton, Edward Elgar Publishing, 186–235.
4. Cappellin, R. (2009). The role and characteristics of medium-tech sectors. International Knowledge and Innovation Networks: Knowledge Creation and Innovation in Medium-technology Clusters. Ed. by R. Cappellin, R. Wink. Northampton, Edward Elgar Publishing, 9–30.
5. Moskvina, O.S. (2010). Opredelenie urovnia tekhnologicheskogo uklada v ekonomike regiona (Determination of the Level of Technological Structure in the Economy of the Region). Vestnik Cheliabinskogo gosudarstvennogo universiteta. Ekonomika (Bulletin of Chelyabinsk State University. Economic Sciences), Issue. 23, No. 2 (183), 52–58.
6. Gerybadze, A., Slowak, A. (2008). Standard-setting competition and open innovation in non-HT industries: mechanical engineering and machinery. Innovation in Low-Tech Firms and Industries. Ed. by H. Hirsch-Kreinsen, D. Jacobson. Northampton, Edward Elgar Publishing, 43–63.
7. Rutten, R. (2003). Knowledge and Innovation in Regional Industry. An Entrepreneurial Coalition. New York, Routledge Taylor
& Francis Group, 220. 8. Kadtsyna, E.S. (2016). Perspektivy stanovleniia informatsionnoi ekonomiki v Ural'skom regione s pozitsii otsenki urovnia vosproizvodstvennogo potentsiala (Prospects of Formation of Information Economy in the Ural Region from the Perspective of Assessing the Level of the Reproductive Potential). Vestnik UrFU. Seriia ekonomika i upravlenie (Bulletin of Ural Federal. Series Economics and Management), Vol. 15, No. 3, 342–358.
9. Kadtsyna, E.S. (2016). Otsenka vliianiia faktora informatsionnykh tekhnologii na razvitie ekonomiki Uralskogo regiona [Evaluating the influence of IT factor on economic development of the Ural region]. Proceedings оf the 14th international scientific conference "Development of Territorial Socio-Economic Systems: Theory and Practice". Ekaterinburg, Institute of Economics of Urals branch of RAS, 237–241
10. Nooteboom, В. (2006). Innovation, learning and cluster dynamics. Clusters and Regional Development: Сritical Reflections and Explorations. Ed. by B. Asheim, P. Cooke, R. Martin. New York, Routledge Taylor & Francis Group, 137–163.
11. Henry, N., Pollard, J., Benneworth, P. (2006). Putting clusters in their place. Clusters and Regional Development: Сritical Reflections and Explorations. Ed. by B. Asheim, P. Cooke, R. Martin. New York, Routledge Taylor & Francis Group, 272–291.
12. Ozlem, O. (2004). Clusters and Competitive Advantage: the Turkish Experience. Ed. by O. Ozlem. New York: Palgrave Macmillan. 2004. 219 p.
13. Simmie, J. (2006). Do clusters or innovation systems drive competitiveness? Clusters and Regional Development: Сritical Reflections and Explorations. Ed. by B. Asheim, P. Cooke, R. Martin. New York, Routledge Taylor & Francis Group, 164–187.
14. Isaksen, A. (2008). The clustering of software consultancy in Oslo: reason for and effects of clustering. Handbook of Research on Innovation and Clusters: Cases and Policies. Ed. by C. Karlsson. Cheltenham, Edward Elgar Publishing Ltd., 193–207.
15. Denison, T. (2006). Support Networks for Rural and Regional Communities. Information and Communication Technologies for Economic and Regional Developments. Ed. by M.H. Rahman. Hershey: IGI Publishing, 102–120.
16. Bonaccorsi, A., Piscitello, L., Rossi, C. (2007). The adoption of ICTs – why does it differ across regions? Knowledge Externalities, Innovation Clusters and Regional Development. Ed. by J. Surinach, R. Moreno, E. Vaya. Northampton, Edward Elgar Publishing, 136–154.
17. Tatarkin, A.I. (ed.) (2007). Region v novoi paradigme prostranstvennoi organizatsii Rossii (Region in the new paradigm of the spatial structure of Russia). Moscow, Ekonomika.
18. Porter, M.E. (1990). The Competitive Advantage of Nations. Harvard Business Review, Vol. 68, No. 2, 73–93.
19. Okol'nishnikova, I.Iu., Kuvatov, V.G. (2009). Vnedrenie mekhanizmov gosudarstvenno-chastnogo partnerstva kak faktor razvitiia regional'nogo biznesa i ekonomik regionov (State and Private Partnership as a Factor of Development of Socially Significant Branches of Economy). Vestnik IuUrGU (South Ural State University Bulletin), No. 21, 4–10.
20. Brenner, T. (2004). Local Industrial Cluster: Existence, Emergence and Evolution. New York, Routledge Taylor & Francis Group, 225.
21. Parrilli, M.D. (2007). SME Cluster Development: a Dynamic View of Survival Clusters in Developing Countries. Ed. by M.D. Parrilli. New York, Palgrave Macmillan, 160.
22. Cappellin, R. (2009). The analysis of regional knowledge networks. International Knowledge and Innovation Networks: Knowledge Creation and Innovation in Medium-technology Clusters. Ed. by R. Cappellin, R. Wink. Northampton, Edward Elgar Publishing, 78–185.
23. Pitelis, C., Pseiridis, A. (2006). A conceptual framework for firm cooperation and clusters, and their impact on productivity. Clusters and Globalisation: The Development of Urban and Regional Economies. Ed. by C. Pitelis, R. Sugden, J.R. Wilson. Cheltenham, Edward Elgar Publishing Ltd., 17–60.
24. Ferreira, M.P., Tavares, A.T., Hesterly, W. (2006). Evolution of Industry Clusters through Spin-offs and the Role of Flagship Firms. Multinationals, Clusters and Innovation. Does Public Policy Matter? Ed. by A.T. Tavares, A. Teixeira. New York, Palgrave Macmillan, 87–106.
25. Sekizawa, Y. (2009). Development of Industrial Parks by the Japan Regional Development Corporation in the 1990s: Is this a Failure of Regional Development Policy or Industrial Cluster Policy? Аsian Industrial Clusters, Global Competitiveness and New Policy Initiatives. Ed. by B. Ganne, Y. Lecler. Singapore, World Scientific Publishing Co., 107–119.
26. Nusratullin, I.V. (2015). Metody issledovanii v ekonomike [Research Methods in Economics]. Ufa, BIST ATiSO.
27. Shorikov, A.F. (2006). Metodologiia modelirovaniia mnogourovnevykh sistem: ierarkhiia i dinamika [Modeling Methodology Multilevel Systems: Hierarchy and Dynamics]. Prikladnaia informatika (Applied Informatics), Issue 1, 136–141.
28. Kadtsyna, E.S. (2018). Metodologicheskii podkhod k issledovaniiu effektivnosti ekonomicheskoi deiatel'nosti sub"ektov protsessa regional'noi informatizatsii (The Methodological Approach to the Research of Entities Economic Activity Efficiency of Regional Informatization Process). Vestnik UrFU. Seriia ekonomika i upravlenie (Bulletin of Ural Federal University. Series Economics and Management), Vol. 17, No. 1, 26–51.
29. Pravitel'stvo utverdilo subsidii regionam UrFO na razvitie gosuslug [Government approves subsidies for Urals regions to develop government services]. Available at: urfotech.ru/2014/03/20/pravitelstvo-utverdilo-subsidii-regionam-urfo-na-razvitie-gosuslug-6389 (Last retrieved: 10.06.2015).
30. Frieden, R. (2006). Institutional conditions for achieving effective implementation of ICT. Competitiveness of New Industries. Institutional Framework and Learning in Information Technology in Japan, the US and Germany. Ed. by C. Storz, A. Moerke. New York, Routledge Taylor & Francis Group, 103–123.
31. Okada, А. (2008). Small Firms in the Indian Software Clusters: Building Global Competitiveness. Upgrading Clusters and Small Enterprises: Еnvironmental, Labor, Innovation and Social Issues. Ed. by J.A. Puppim de Oliveira. Farnham, Ashgate Publishing Ltd., 85–106.
32. Barry, F. (2007). The Emergence of Ireland’s ICT Clusters: The Role of Foreign Direct Investment. Cluster Genesis: Technology-Based Industrial Development. Ed. by P. Braunerhjelm, M. Feldman. New York, Oxford University Press, 148–171.
33. Gertler, M.S., Wolfe, D.A. (2006). Spaces of knowledge flows Clusters in a global context. Clusters and Regional Development: Сritical Reflections and Explorations. Ed. by B. Asheim, P. Cooke, R. Martin. New York, Routledge Taylor & Francis Group, 218–235.
34. Wink, R. (2009). Innovation patterns and best practices in medium-technology networks. International Knowledge and Innovation Networks: Knowledge Creation and Innovation in Medium-technology Clusters. Ed. by R. Cappellin, R. Wink. Northampton, Edward Elgar Publishing, 31–77.
35. Damijan, J.P., Jaklic, A., Rojec, M. (2006). Do External Knowledge Spillovers Induce Firms’ Innovations? Evidence from Slovenia. Multinationals, Clusters and Innovation. Does Public Policy Matter? Ed. by A.T. Tavares, A. Teixeira. New York, Palgrave Macmillan, 27–47.
36. Baumol, W. (1990). Entrepreneurship: Productive, unproductive and destructive. Journal of Political Economy, Vol. 98, 893–921.
37. Untur, A.V., Evseenko, A.V. (eds.) (2011). Innovatsionnyi vektor ekonomiki znaniia [Innovation Vector of Knowledge Economy]. Novosibirsk, Siberian branch of RAS.
38. Gudkova, E.V. (2010). Ekonomika znaniia: chto opredeliaet fenomen (o knige «Innovatsionnyi vektor ekonomiki znaniia») [Knowledge Economy: What Determines the Phenomenon. Review of book "Innovation Vector of Knowledge Economy"]. Prostranstvennaia ekonomika (Spatial Economics), No. 1, 156–165.
About Authors
Kadtsyna Elena Sergeevna – Post-Graduate Student, Institute of Economics, the Ural Branch of RAS, Ekaterinburg, Russia (620014, Ekaterinburg, Moskovskaya street, 29); e-mail: esgudz@yandex.ru.
For citation
Kadtsyna E.S. Cluster Model of Development the Informatization process in Industrial Branches as a Mechanism to Accelerate the Growth of the Industrial Regions Economies. Bulletin of Ural <st1:place w:st="on"><st1:placename w:st="on">Federal</st1:placename> <st1:placetype w:st="on">University</st1:placetype></st1:place>. Series Economics and Management, 2018, Vol. 17, No. 3, 471-503. DOI: 10.15826/vestnik.2018.17.3.021.
Article info
Received May 22, 2018; Accepted June 1, 2018.
DOI: http://dx.doi.org/10.15826/vestnik.2018.17.3.021
Download full text article:
~672 KB, *.pdf
(Uploaded
13.07.2018)
Created / Updated: 2 September 2015 / 20 September 2021
© Federal State Autonomous Educational Institution of Higher Education «Ural Federal University named after the first President of Russia B.N.Yeltsin»
Remarks?
select the text and press:
Ctrl + Enter
Portal design: Artsofte
Contact us
Rector's Office
Rector, Dr. Victor Koksharov
Tel. +7 (343) 375-45-03, e-mail: rector@urfu.ru
Vice-Rector for International Relations, Dr. Maxim Khomyakov
Tel. +7 (343) 375-46-27, e-mail: Maksim.Khomyakov@urfu.ru