FINAL CLUSTER ANALYSIS - Kohtla-Järve

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Final Cluster Analysis 2 The following analysis is based summary of results of studies and research conducted by Expert group from April-December 2008: Statistical and Documentary surveys and Key persons’ interviews. Statistical survey sought all available statistical information concerning the company groupings that are well-presented in the target region. Documentary survey summarised different documents, articles, economic reports, policies and strategies for economic development. Key persons’ interviews provided an insight of obtained in previous surveys’ materials from stakeholders’ point of view. Moreover, based on the information provided by Experts during Working seminar, project partners made final decision concerning the choice of the target sectors to be developed on their territories. Current document summarised and analysed all obtained data and justified agreed final decision to develop perspective target cluster groupings. The methodology used in the Final Cluster Analysis is a desk research method that is based on several EU cluster methodologies, including Netwin-Methodological Guide to Networking and Cluster Development and is based on acquiring direct secondary information sources. The information obtained through desk research was verified, defined and is a subject to detalisation by quantitative field research. Number of major activity sectors for survey was limited to Industry and Service sectors according to the common decision made by the Expert Group during Expert Panel 1 (22.04.2008) and agreed with project partners. Cluster wise selection is be made inside these sectors of activity. 1 http://ec.europa.eu/comm/competition/mergers/cases/index/nace_all.html 2 Expert Group will later refer to the short title of the sector 6 Methodology 2.1 sources The principal contributions to the survey were from the following documents: Statistical Survey, Documentary survey, Key Persons’ interview Sectors that were selected for the survey were taking from the list of Nace Codes1 , which is the international coding system for industrial classification used by the EU: CA.0.00 Mining and quarrying of energy producing materials DB.0.00 Manufacture of textiles and textile products (textile) 2 DC.0.00 Manufacture of leather and leather products DD.0.00 Manufacture of wood and wood products (woodworking) DE.0.00 Manufacture of pulp, paper and paper products; publishing and printing DF.0.00 Manufacture of coke, refined petroleum products and nuclear fuel DG.0.00 Manufacture of chemicals, chemical products and man-made fibres DH.0.00 Manufacture of rubber and plastic products DJ.0.00 Manufacture of basic metals and fabricated metal products (metalworking) DK.0.00 Manufacture of machinery and equipment n.e.c. DL.0.00 Manufacture of electrical and optical equipment DN.0.00 Manufacturing n.e.c. E .0.00 Electricity, gas and water supply F .0.00 Construction H .0.00 Hotels and restaurants (hospitality) 2 I .0.00 Transport, storage and communication K .0.00 Real estate, renting and business activities O .0.00 Other community, social and personal service activities © Narva Business Advisory Services Foundation, St. Petersburg Information and Analytical Center, Synergy International Ltd. 2008
3 Final Cluster Analysis Cluster definition Previous studies on clusters did not mention in detail what term “cross-border cluster” implies. From a classical cluster definition by Michael Porter “Clusters are geographic concentrations of interconnected companies, specialised suppliers, service providers, firms in related industries, and associated organisations (such as universities, standard agencies, trade associations) in a particular field linked by commonalities and complementarities”. Expert Group concluded its own definition of cluster placing emphasis on cross-border aspect. Therefore, in the framework of EstRuCluster Development project expert services, cross-border cluster is “a geographically concentrated network of cooperating companies in the trans-border region in complimentary sectors and supporting institutions”. This definition is therefore will be used in this and subsequent documents to be produced by Expert Group. 7
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Page 3 and 4: Project: cluster DeveloPment anD B2
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Page 13 and 14: In terms of labour force the follow
Page 15 and 16: To conclude, Expert Group have iden
Page 17 and 18: According to the statistics, North-
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Page 21 and 22: At the same time, it is important t
Page 23 and 24: 5.1. KeY FInDIngs In IDa-vIrumaa 5
Page 25 and 26: One of the main engines of clusters
Page 27 and 28: The results of cluster identifi cat
Page 29 and 30: The following table synthesised pot
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Page 37 and 38: The adoption of technology in the s
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Page 43 and 44: 11.3. WooDWorKIng sector The key dr
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FINAL CLUSTER ANALYSIS - Kohtla-Järve

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