Formation of Lithuanian manufacturing industry clustering economic preconditions
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DOIhttp://dx.doi.org/10.21511/ppm.18(2).2020.13
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Article InfoVolume 18 2020, Issue #2, pp. 140-153
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The main Lithuanian manufacturing industry clustering preconditions are related to productivity, innovation, and export development. In this research paper, it was found that the strength of cooperative relationships among cluster members, more favorable opportunities to access, and use of infrastructure of business and professional human resources are the major factors to form the preconditions chosen for developing a research model. Four hypotheses have been formulated, which aim to confirm or deny the formation of clustering economic preconditions for productivity, innovation, and export development. Along with the exploratory study, the arisen hypotheses verified that improvement of infrastructure of business and professional human resources and easier access to it for companies have a positive impact on export development. Two other factors – the strength of cooperative relationships and the infrastructure of human resources – are not significant. Cooperation and partnership processes remain undeveloped, as high-quality and full-value formation of the economic preconditions for productivity, innovation, and export development is not ensured properly.
- Keywords
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JEL Classification (Paper profile tab)D24, O12, O14
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References42
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Tables4
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Figures0
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- Table 1. Correlations between the derivative variables
- Table 2. The impact of cooperative relationships and the infrastructure of business and human resources on company’s performance and productivity factors
- Table 3. The impact of cooperative relationships, infrastructure of business and human resources on innovation
- Table 4. The impact of cooperative relationships, infrastructure of business and human resources on export development
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- Andersson, T., Seger, S. S., Sörvik, J., & Hansson, E. W. (2004). The Cluster Policies Whitebook. Sweden: IKED.
- Bekar, C., & Lipsey, R. G. (2001). Clusters and economic policy. Simon Fraser University, Vancouver, momeo.
- Bell, G. G. (2005). Clusters, networks, and firm innovativeness. Strategic Management Journal, 26(3), 287-295.
- Biukšāne, I. (2019). Evaluation of competitiveness of the Latvian fisheries sector in the framework of the cluster. Institute of the Civil Engineering and Real Estate Economics of 4 December 2019, Minutes No. 22500-2/9.
- Chandrashekar, D., Subrahmanya, M. H. B., Joshi, K., & Priyadarshi, T. (2019). Effect of Innovation on Firm Performance – The Case of a Technology Intensive Manufacturing Cluster in India. International Journal of Innovation & Technology Management, 16(7).
- Connell, J., & Voola, R. (2013). Knowledge integration and competitiveness: a longitudinal study of an industry cluster. Journal of Knowledge Management, 17(2), 208-225.
- Crescenzi, R., Rodriguez-Pose, A., & Storper, M. (2007). The Territorial Dynamics of Innovation: A Europe-United States Comparative Analysis. Journal of Economic Geography, 7(6), 673-709.
- Feser, E. J. (1998). Old and new theories of industry clusters. Clusters and Regional Specialisation: On Geography, Technology, and Networks.
- Giuliani, E. (2013). Clusters, networks and firms’ product success: an empirical study. Management Decision, 5(6), 1135-1160.
- Grashof, N., Hesse, K., & Fornahl, D. (2019). Radical or not? The role of clusters in the emergence of radical innovations. European Planning Studies, 27(10), 1904-1923.
- Hill, E. W., & Brennan, J. F. (2000). A Methodology for Identifying the Drivers of Industrial Clusters: The Foundation of Regional Competitive Advantage. Economic Development Quarterly, 14(1), 65-96.
- Hsu, M. S., Lai, Y. L., & Lin, F. J. (2013). Effects of Industry Clusters on Company Competitiveness: Special Economic Zones in Taiwan. Review of Pacific Basin Financial Markets and Policies, 16(3).
- Hsu, M. S., Lai, Y. L., & Lin, F. J. (2014). The impact of industrial clusters on human resource and firms performance. Journal of Modelling in Management, 9(2), 141-159.
- Jucevičius, R. (2008). Klasterių ABC. Vilnius: Klasterių kompetencijos tinklas.
- Kamarulzaman, A., & Mariati, N. (2008). Cluster-Based Policy Making: Assessing Performance and Sustaining Competitiveness. Review of Policy Research, 25(4), 349-375.
- Karaev, A., Koh, S. C. L., & Szamosi, L. T. (2007). The cluster approach and SME competitiveness: a review. Journal of Manufacturing Technology Management, 18(7), 818-835.
- Langa, M. E., Miquel, J. V. T., & Morales, F. X. M. (2015). Innovation in clusters: exploration capacity, networking intensity and external resources. Journal of Organizational Change Management, 28(1), 26-42.
- Lietuvos klasterizacijos studija (2017). Research Institute for changes.
- Lietuvos pramonės klasterių plėtros programinė studija (2003). Kauno technologijos universiteto Verslo strategijos institutas.
- Mačys, G. (2005). Klasterių kūrimas – regionų plėtrą veiksmingiausiai spartinantis veiksnys. Viešoji politika ir administravimas, 12, 111-118.
- Malakauskaitė, A., & Navickas, V. (2010). Relation between the Level of Clusterization and Tourism Sector Competitiveness. Engineering Economics, 21(1), 60-67.
- Malakauskaitė, A., & Navickas, V. (2011). Contribution of clusters to the competitiveness of companies: Revelation and evaluation. Engineering Economics, 22(1), 50-57.
- Marshall, A. (1890). Principles of Economics. London: Macmillan and Co., Ltd.
- Navickas, V., & Malakauskaitė, A. (2008). Klasteriai, kaip tarporganizacinių verslo ryšių specifinė forma. Ekonomika ir vadyba, 13, 588-599.
- Navickas, V., & Malakauskaitė, A. (2008). Nauji makroekonominės politikos svertai: klasterių fenomenas. Verslas: teorija ir praktika, 9(4), 245-252.
- Padmore, T., & Gibson, H. (1997). Modelling systems of innovation: II. A framework for industrial cluster analysis in regions. Research Policy, 26(6), 625-641.
- Pisa, N., Grater, S., & Rossouw, R. (2017). Service Innovation by Industrial Cluster Formation and Export Promotion. Managing Global Transitions: International Research Journal, 15(4), 321-340.
- Porter, M. E. (1990). The competitive advantage of nations. New York: The Free Press.
- Porter, M. E. (2000). Location, competition, and economic development: local clusters in a global economy. Economic Development Quarterly, 14(1), 15-34.
- Roelandt, T. J. A., & Hertog, P. (1998). Cluster analysis & cluster-based policy in OECD-countries: Various approaches, early results & policy implications. The Hague/Utrecht: OECD-Focus Group on industrial clusters.
- Roelandt, T. J. A., Gilsing, V. A., & Sinderen, J. (2000). Cluster-based Innovation Policy: International Experiences (Research Memorandum, 12).
- Rosenfeld, S. A. (1995). Industrial strength strategies: Regional Business Clusters and Public Policy. Washington, DC: The Aspen Institute Community Strategies Group.
- Rosenfeld, S. A. 1(997). Bringing Business Clusters into the Mainstream of Economic Development. European Planning Studies, 5(1), 3-23.
- Simmie, J., & Sennett, J. (1999). Innovative clusters: global or local linkages? National Institute Economic Review, 170, 87-98.
- Sölvell, Ö. (2009). Clusters – Balancing evolutionary and constructive forces. Sweden: Ivory Tower Publishers.
- Sopoligová, M., & Pavelková, D. (2017). Cluster policy in Europe and Asia: A comparison using selected cluster policy characteristics. Journal of International Studies, 10(3), 35-50.
- Ștefan, I., Olteanu, G., & Constantin, D. (2019). The significance of competitive SMEs for successful regional clusters. Economics, Management & Financial Markets, 13(3), 210-223.
- Stojčić, N., Anić, I., & Aralica, Z. (2019). Do firms in clusters perform better? Lessons from wood-processing industries in new EU member states. Forest Policy and Economics, 109.
- Svazas, M., Navickas, V., Krajnakova, E., & Nakonieczny, J. (2019). Sustainable supply chain of the biomass cluster as a factor for preservation and enhancement of forests. Journal of International Studies, 12(2), 309-321.
- The Order No 4-131 of the Minister of Economy of the Republic of Lithuania of 27 February 2014 “On the Approval of the Concept of the Development of the Lithuanian Clusters”, Lithuania, Vilnius (TAR, 2014-02-27, Nr. 2182).
- Viederytė, R., & Juščius, V. (2012). Jūrinio sektoriaus klasterizacijos skatinimas: prielaidos ir pagrindinės kliūtys [Maritime industry cluster: preconditions and obstacles]. Ekonomika ir vadyba: aktualijos ir perspektyvos, 4(28), 99-106. (In Lithuanian).
- Viederytė, R. (2014). Economic evaluation of Lithuanian maritime sector clustering preconditions: Doctoral dissertation. Kaunas.