FINAL CLUSTER ANALYSIS - Kohtla-Järve

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Final Cluster Analysis Tallying in terms of sectors was almost identical, however Electricity, gas and water supply sector was chosen only by Estonian participants. Voting distribution per partner-towns in persentage is as following: Table 20 Sector <strong>Kohtla</strong>-<strong>Järve</strong> Sillamäe Narva Slantsy St. Petersburg Kingisepp/ Ivangorod Metalworking 25% 12,5% 13% - 25% 9% Hospitalty 13% 12,5% 37% 27% - 24% Manufacture of chemicals, chemical products 18% 12,5% 13% 19% - 5% Woodworking 13% 12,5% - - - 19% Construction - 12,5% 13% - 25% 5% Electricity, gas and water supply Mining and quarrying - 25% - - - - of energy producing materials 13% - - 27% - - Transport, storage and communication 13% - - - 25% 19% Manufacture of rubber and plastic products - 12,5% - 27% - 9% Textile - - 24% - - 5% Manufacture of machinery and equipment n.e.c. 5% - - - 25% 5% Project partners and participants chose utilisation, food industry and manufacture of construction materials, port and services from emerging sectors in both regions. Consequently, project partners and participants chose packaging industry, fuel production from oil shale and utilization of secondary oils shale products as new sectors. Other practical exercise was to distinguish cross-border clusters, whereas project partners and participants were chosing 4 cross-border clusters (from current, developing and new sectors) each. The following table as a synthesis of the results obtianed from the 2nd part of the exercise based on the voting of each participant. Hospitality 9 Metalworking 6 Manufacture of chemicals, chemical products 3 Woodworking 3 Transport, storage and communication 3 Packaging 3 Utilisation 3 Manufacture of rubber and plastic products 3 32 Table 21 © Narva Business Advisory Services Foundation, St. Petersburg Information and Analytical Center, Synergy International Ltd. 2008
1 Hospitality cluster 2 Chemical cluster 3 Woodworking cluster 4 Metalworking cluster 10 The following clusters correspond to concrete sectors. However, effectiveness of cluster formation is also lay in the cross-sectoral cooperation, where corresponding innovative strains and products could be elaborated. Moreover, while supporting cluster initiatives added value could be established through horizontal introduction of ICT, cooperation with R&D and educational institutes, introduction of innovation, including industrial design. Such based on knowledge clusters could no be sustained and developed solely on the basis of knowledge and materials transfer with minimal operating costs. A key additional process involves the connections between some of the actors in a given sector with outsiders (e.g. firms with suppli- Final Cluster Analysis Final crossborder clusters identification Based on the findings in the previous sections and aims of EstRuCluster Development project, the following final cross-border clusters have been identified. Table 22 Cluster includes following sectors: Hotels, resorts and restaurants, tour operators and travel agencies, excursion operators, PR companies, transport companies, etc. Cluster includes following sectors: Manufacture of basic chemicals, manufacture of rubber and plastic products, mining of chemical products, companies dealing with packaging industry, manufacturers of oil shale fuel, food industry, construction, etc. Cluster includes following sectors: Manufacture of wood and of products of wood and cork, furniture; manufacture of articles of straw and plaiting materials, forestry industry, manufacture of veneer sheets; manufacture of plywood, and other panels and boards, sawing industry and other sectors related to woodworking. Cluster includes following sectors: Metalworking companies, welding companies, manufacturers of machinery and equipment, construction companies and other related sectors. ers, customers, or sources of knowledge). In other words, as well as “local buzz” there have to be regional (or even global) “pipelines”: channels of communication to other sectors in other places. The process of knowledge creation and innovation, therefore, consist of a complex set of networks and processes operating within and across various spatial scales, from the global, through the national and the regional, to the local. In case of Saint Petersburg and trans-border region of Leningrad region and Ida-Virumaa, it is important to provide those pipelines for proper knowledge and information transfer. This is one of the main challenges for the future cluster development. 33
Page 1 and 2: Project: cluster DeveloPment anD B2
Page 3 and 4: Project: cluster DeveloPment anD B2
Page 5 and 6: e x e c u t I v e s u m m a r Y The
Page 7 and 8: 1.1 PurPose oF the InvestIgatIon 1
Page 9 and 10: 3 Final Cluster Analysis Cluster de
Page 11 and 12: In terms of newborn companies, the
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-
Page 19 and 20: In order to makethe choice of conce
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
Page 31 and 32: As evident in the fi gure provided
Page 33: 9 As it was mentioned above special
Page 37 and 38: The adoption of technology in the s
Page 39 and 40: 11.2. chemIcal sector As one of the
Page 41 and 42: Another threat to the EU chemicals
Page 43 and 44: 11.3. WooDWorKIng sector The key dr
Page 45 and 46: 11.4. metalWorKIng sector The key d

FINAL CLUSTER ANALYSIS - Kohtla-Järve

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