Information analytical management systems of cluster spatial development in regions: Analysis and priorities for improvement

Authors

DOI:

https://doi.org/10.17072/10.17072/1994-9960-2020-1-84-109

Abstract

In recent years, information and analytical systems for managing the cluster spatial development of regions, creation of which was initiated by the scientists of the Harvard Business School in 2000, started to play a defining role in strategic planning problems solving for social and economic space of regions as territorial clusters localization places. Actual demand for these systems in foreign and domestic cluster management practices from various groups of users (specialized cluster organizations, enterprises – participants of clusters, their partners, research, educational institutions, research and development centers, public bodies) necessitates a comprehensive review of their specifications. Analysis of information and analytical management systems specifications for cluster spatial regions development is aimed at the description of functional conditions, setup and structure of management systems, characteristics of their key components and interactive capacities. Therefore, the article is aimed at evaluation of information and analytical support status for the cluster spatial development in Russia and to define priorities for improving regional cluster management systems based on the analysis of foreign experience. The study is methodologically based on the general academic methods and comparative analysis aimed to identify the similarities and differences of the available regional clusters information and analytical management systems, including the US Cluster Mapping, European Cluster Cooperation Platform, Russian Cluster Observatory and Geo-information system of industrial parks, science parks and clusters of the Russian Federation. The novelty of this study is rationale of strategic guidelines for improving the information and analytical tools of managing cluster spatial development of regions based on the cluster mapping methodology and modern Internet technologies for interactive statistical analysis. In particular, an approach to the analysis of setup and structural features of information-analytical systems for managing cluster spatial development of regions is proposed, which allows to form an expanded holistic view of the specifics of foreign and domestic cluster management systems through the prism of their specifications comparative analysis. Seven specifications of cluster management systems are analyzed, which complementarily solve the tasks of managing the cluster spatial development of regional social and economic systems: basic system specification; information specification; identification and efficiency evaluation specifications; regional efficiency evaluation specification; mapping visualization specification; specification of the stakeholders and their communications; specification of methodological explanations. The limitations of information-analytical support for regional clusters management in Russia regarding cluster analysis and cartographic specification tools are described. Comparative capabilities of foreign and domestic open information and analytical systems for cluster spatial development management are systematized based on the results of an analysis of the management system specifications and hierarchical approach methodology. The priorities of the elaboration of cluster spatial management systems of regions development have been identified, which focus on the need for a functional and content-related synthesis of cluster and region management specifications within the frames of a single interactive mapping platform that secures effective strategic management, promotion of the partnership development of cluster interaction entities on micro, meso, macro and mega levels of economic hierarchy, as well as has capability to become a center of communication of all its users. The theoretical and practical significance of the study is to formulate suggestions for improving information and analytical support for clusters management in Russia. The study prospects lie in the area of designing specifications for the domestic information-analytical management system for cluster spatial regions development that meets users’ requirements in the area of justification and development of political and managerial decisions.

Keywords

clusters, cluster spatial development, cluster policy, management systems, management system specifications, cluster mapping, cluster analysis, the US Cluster Mapping, cluster mapping in the EU countries, cluster mapping in Russia, strategic management, regions

For citation

Kovaleva T.Yu. Information analytical management systems of cluster spatial development in regions: Analysis and priorities for improvement. Perm University Herald. Economy, 2020, vol. 15, no. 1, pp. 84–109. DOI 10.17072/1994-9960-2020-1-84-109

References

1. Audretsch D.B., Lehmann E.E., Menter M. Public cluster policy and new venture creation. Economia e Politica Industriale, 2016, vol. 43, no. 4, pp. 357–381. doi: 10.1007/s40812-016-0050-9.
2. Bakhtiari S., Breunig R. The role of spillovers in research and development expenditure in Australian industries. Economics of Innovation and New Technology, 2018, vol. 27, iss. 1, pp. 14–38. doi: 10.1080/10438599.2017.1290898.
3. Feser E., Renski H., Koo J. Regional cluster analysis with interindustry benchmarks. In book: Targeting Economic Development. Ed. by S. Goetz, S. Deller, T. Harris. London, Taylor & Francis Publ., 2009, pp. 213–238.
4. Feser E. Benchmark value chain industry clusters for applied regional research. Working paper, University of Illinois, 2005. Available at: https://www.researchgate.net/publication/228670994_Benchmark_ value_chain_industry_clusters_for_applied_regional_research (accessed 01.11.2019).
5. Bergman E.M., Feser E.J. Industrial and regional clusters: Concepts and comparative applications. Morgantown, W, Va, Regional Research Institute, West Virginia University, 1999. 62 p.
6. Porter M.E. What is national competitiveness? Harvard Business Review, 1990, iss. 68, no. 2. pp. 84–85.
7. Porter M.E. Cluster and the new economics of competition. Harvard Business Review, 1998, iss. 76, no. 6, pp. 77–90.
8. Porter M.E. The economic performance of regions. Regional Studies, 2003, vol. 37, iss. 6–7, pp. 549–578.
9. Bergman E.M., Feser E.J. National industry cluster templates: A framework for applied regional cluster analysis. Regional studies, 2000, vol. 34, iss. 1, pp. 1–19.
10. Enright M.J. Regional clusters: What we know and what we should know. In book: Innovation Clusters and Interregional Competition. Ed. by J. Bröcker, D. Dohse, R. Soltwedel. Advances in Spatial Science. Springer, Berlin, Heidelberg, 2003, pp. 99–129.
11. Enright M.J. Regional clusters and economic development: A research agenda. In book: Business networks: Prospects for regional development. Ed. by U.H. Staber, N.V. Schaefer, B.D. Sharma. Berlin, de Gruyter, 1996, pp. 190–213.
12. Porter M.E. Konkurentsiya. Per. s angl. [Competition. Transl. from Engl.]. Moscow, Izdatel'skii dom «Vil'yams» Publ., 2006. 608 p.
13. Delgado M., Porter M.E., Stern S. Clusters, convergence, and economic performance. Research Policy, 2014, vol. 43, no. 10, pp. 1785–1799. doi: 10.1016/j.respol.2014.05.007.
14. Delgado M., Porter M.E., Stern S. Defining clusters of related industries. 2014. National Bureau of Economic Research, Working Paper 20375. Available at: http://www.nber.org/papers/w20375 (accessed 01.11.2019).
15. Dan'ko T.P., Kutsenko E.S. Osnovnye podkhody k vyyavleniyu klasterov v ekonomike regiona [Major approaches to distinguishing of cluster in the economy of a region]. Problemy sovremennoi ekonomiki [Problems of modern economics], 2012, no. 1, pp. 248–254. (In Russian).
16. Rastvortseva S.N., Cherepovskaya N.A. Identifikatsiya i otsenka regional'nykh klasterov [Identification and assessment of regional clusters]. Ekonomika regiona [Economy of region], 2013, no. 4 (36), pp. 123–133. (In Russian).
17. Pavlov K.V., Rastvortseva S.N., Cherepovskaya N.A. Metodicheskii podkhod k identifikatsii potentsial'nykh klasterov v regional'noi ekonomike [A methodological approach to identifying potential clusters in regional economy]. Regional'naya ekonomika: teoriya i praktika [Regional economics: Theory and practice], 2015, no. 10 (385), pp. 15–26. (In Russian).
18. Karlina T.V. Identifikatsiya yader regional'nykh ekonomicheskikh klasterov na osnove analiza strukturnykh sdvigov v usloviyakh tsiklichno-razvivayushcheisya ekonomiki [Identification of regional economic cluster nuclei as regards the analysis of the structural shifts in cycle-based development economy]. Vestnik Permskogo universiteta. Seriya «Ekonomika» [Perm University Herald. Economy], 2011, no. 4 (11), pp. 18–29. (In Russian).
19. Kovaleva T.Yu. Otsenka strategicheskikh pozitsii regional'nykh klasterov: metodicheskii instrumentarii i rezul'taty ego primeneniya (na primere ekonomiki Permskogo kraya) [Evaluation of strategic positions of regional clusters: Methodological tools and results of their implementation (A case study of the Perm Krai economy)]. Vestnik Nizhegorodskogo universiteta im N.I. Lobachevskogo. Seriya: Sotsial'nye nauki [Vestnik of Lobachevsky State University of Nizhni Novgorod. Series: Social Sciences], 2016, no. 3 (43), pp. 38–47. (In Russian).
20. Vertakova Yu.V., Risin I.E., Treshchevskii Yu.I. Iteratsionnaya tekhnologiya otsenki uslovii klasterizatsii v regional'nom ekonomicheskom prostranstve [Iterative evaluation of clustering conditions in a regional economic space]. Ekonomika i upravleniya [Economics and Management], 2016, no. 4 (126), pp. 11–19. (In Russian).
21. Kutsenko E.S. Klastery v ekonomike: praktika vyyavleniya. [Business clusters: approaches to identification]. Obozrevatel' [Reviewer], 2009, no. 10 (237), pp. 109–126. (In Russian).
22. Zemtsov S., Barinova V., Pankratov A., Kutsenko E. Potential high-tech сlusters in Russian regions: From current policy to new growth areas. Foresight and STI Governance, 2016, vol. 10, no. 3, pp. 34–52. doi: 10.17323/1995-459X.2016.3.34.52.
23. Zemtsov S.P., Bukov D.V. Metody vyyavleniya klasterov malogo i srednego biznesa [Methods to identify clusters of small and medium-sized businesses]. Regional'naya ekonomika: teoriya i praktika [Regional economics: Theory and practice], 2016, no. 3, pp. 104–117. (In Russian).
24. Kutsenko E.S., Abashkin V.L., Islankina E.A. Fokusirovka regional'noi promyshlennoi politiki cherez otraslevuyu spetsializatsiyu [Focusing regional industrial policy via sectorial specialization]. Voprosy ekonomiki [Economy issues], 2019, no. 5, pp. 65–89. (In Russian).
25. Kolchinskaya E.E., Limonov L.E. Stepanova E.S. Rol' klasterov i klasternoi politiki v razvitii rossiiskikh regionov: postanovka problemy i vozmozhnyi podkhod k otsenke [The role of clusters and cluster policy in the development of Russian regions: problem statement and an approach to assessment]. Izvestiya Russkogo geograficheskogo obshchestva [Proceedings of the Russian Geographical Society], 2018, vol. 150, no. 3, pp. 1–11. (In Russian).
26. Kadochnikov S.M., Fedyunina A.A. Nesyr'evoi eksport rossiiskikh regionov: v poiskakh naibolee dinamichnykh otraslei i rynkov [Manufacturing export of Russian regions: Looking for the most dynamic markets and industries]. Voprosy ekonomiki [Economy issues], 2015, no. 10, pp. 132–150. (In Russian).
27. Dubrovskaya Yu.V., Kudryavtseva M.R., Kozonogova E.V. «Umnyi» benchmarking kak osnova strategicheskogo planirovaniya regional'nogo razvitiya [“Smart” benchmarking as a basis for strategic planning in regional development]. Ekonomicheskie i sotsial'nye peremeny: fakty, tendentsii, prognoz [Economic and social changes: Facts, trends, forecasts], 2018, vol. 11, no. 3, pp. 100–116. (In Russian). doi: 10.15838/esc.2018.3.57.7.
28. Dubrovskaya Yu.V., Kozonogova E.V., Molodchik A.V. K voprosu algoritmizatsii i avtomatizatsii protsessa regional'nogo strategirovaniya [On algorithmization and automation of regional strategizing]. Upravlenets [The Manager], 2019, vol. 10, no. 4, pp. 65–74. (In Russian). doi: 10.29141/2218-5003-2019-10-4-6.
29. Kozonogova E.V. Regulirovanie vzaimodeistviya khozyaistvuyushchikh sub"ektov RF na osnove ekonomiko-matematicheskoi identifikatsii mezhregional'nykh klasterov. Diss. kand. ekon. nauk [Regional cooperation of the RF economic entities as regards the economic and mathematical identification of the interregional clusters. Cand. econ. sci. diss.]. Perm, Perm National Research Polytechnic University. 175 p. (In Russian).
30. Kvyatkovskaya I.Yu. Eremenko O.O. Ispol'zovanie geotekhnologii v upravlenii regional'nym transportnym klasterom [The use of geotechnologies in management of regional transport cluster]. Vestnik Astrakhanskogo gosudarstvennogo tekhnicheskogo universiteta [Bulletin of Astrakhan State Technical University], 2006, no. 4 (33). pp. 105–108. (In Russian).
31. Beloglazova S.A. Mezhdunarodnyi opyt kartirovaniya kak metod identifikatsii regional'nykh klasterov [International practices of cluster mapping for identification of regional clusters]. Ekonomicheskie nauki [Economic sciences], 2016, no. 143, pp. 7–13. (In Russian).
32. Bazueva E.V., Zhulanov E.E., Karlina T.V., Kovaleva T.Yu., Mirolyubova T.V., Shul'ts D.N. Konkurentosposobnost' i upravlenie razvitiem natsional'noi i regional'noi ekonomiki: sintez ierarkhicheskogo i institutsional'nogo analiza [Competitiveness and management of the national and regional economy’s development: Synthesis of hierarchical and institutional analysis]. Vestnik Permskogo universiteta. Seriya «Ekonomika» [Perm University Herald. Economy], 2016, vol. 1, no. 28, pp. 7–40. doi 10.17072/1994-9960-2016-1-7-40. (In Russian).
33. Sölvell Ö. Clusters. Balancing evolutionary and constructive forces. Second edition. Stock-holm, Ivory Tower Publ., 2009. 140 p.

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Information about the Author

  • Tatyana Yu. Kovaleva, Perm State University

    Candidate of Economic Sciences, Associate Professor, Associate Professor at the Department of the World and Regional Economy, Economic Theory

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Published

2020-04-30

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Regional economy