Macroeconomic Dimensions in the Clusterization Processes: Lithuanian Biomass Cluster Case

Open access


The Future production systems’ increasing significance will impose work, which maintains not a competitive, but a collaboration basis, with concentrated resources and expertise, which can help to reach the general purpose. One form of collaboration among medium-size business organizations is work in clusters. Clusterization as a phenomenon has been known from quite a long time, but it offers simple benefits to researches at micro and medium levels. The clusterization process evaluation in macroeconomic dimensions has been comparatively little investigated. Thereby, in this article, the clusterization processes is analysed by concentrating our attention on macroeconomic factor researches. The authors analyse clusterization’s influence on country’s macroeconomic growth; they apply a structure research methodology for clusterization’s macroeconomic influence evaluation and propose that clusterization processes benefit macroeconomic analysis. The theoretical model of clusterization processes was validated by referring to a biomass cluster case. Because biomass cluster case is a new phenomenon, currently there are no other scientific approaches to them. The authors’ accomplished researches show that clusterization allows the achievement of a large positive slip in macroeconomics, which proves to lead to a high value added to creation, a faster country economic growth, and social situation amelioration.

If the inline PDF is not rendering correctly, you can download the PDF file here.

  • Baranauskiene J. 2013. Viesuju projektu vertinimas kastu naudos analizes metodu: Kritiskas poziuris. Zemes Ukio Mokslai 20(1) 64-74. doi:

  • Bernat A. G. 1999. Industry clusters and rural labor markets. Southern Rural Sociology 15 13-23.

  • Čiburienė J. and Keršienė R. 2002. Klasterių esmė ir jų formavimasis. [Essence of clusters and their formation]. Tiltai. Priedas 10 54-61.

  • do Carmo Farinha L. M. de Matos Ferreira J. J. and Borges Gouvei J. J. 2014. Innovation and competitiveness: A high-tech cluster approach. The Romanian Review Precision Mechanics Optics & Mechatronics 45 41-48.

  • Ginevicius R. and Andriuskevicius A. 2000. Gamybos koncentracija rinkos ekonomikoje. Ekonomika (Nis) 51 20-29.

  • Ketels C. Lindqvist G. and Solvell O. 2006. Cluster initiatives in developing and transition economies. Stockholm: Center for Strategy and Competitiveness.

  • Ketels C. Lindqvist G. and Solvell O. 2013. The Cluster Initiative Greenbook (2nd ed. ed.). Stockholm: Ivory Tower Publishers.

  • Kuah A. T. H. 2002. Cluster Theory and Practice: Advantages for the Small Business Locating in a Vibrant Cluster. Journal of Research in Marketing and Entrepreneurship 4(3) 206-228. doi:

  • Lechner C. and Leyronas C. 2012. The competitive advantage of cluster firms: The priority of regional network position over extra-regional networks - a study of a French high-tech cluster. Entrepreneurship and Regional Development 24(5-6) 457-473. doi:

  • OECD 2005. Local Economic and Employment Development (LEED) Business Clusters Promoting Enterprise in Central and Eastern Europe: Promoting Enterprise in Central and Eastern Europe. Paris: OECD Publishing.

  • Rakauskiene G. 2013. Salies konkurencingumo skatinimo sprendimu pagristumo didinimas. Vilnius: Technika.

  • Semlinger K. 2008. Cooperation and competition in network governance: Regional networks in a globalised economy. Entrepreneurship and Regional Development 20(6) 547-560. doi:

  • Skaržauskienė A. Gudelytė L. and Lančinskienė A. 2014. Klasterių veikla Lietuvoje: iššūkiai ir galimybių paieška. Socialinės technologijos 4(1) 192–204. doi:

  • Vaz T. D. N. and Nijkamp P. 2009. Knowledge and innovation: The strings between global and local dimensions of sustainable growth. Entrepreneurship and Regional Development 21(4) 441-455. doi:

  • Vojtovich S. 2013. The impact of Emigration on Unemployment in Slovakia. The Engineering Economist 24(3) 207-216. doi:

Journal information
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 209 55 5
PDF Downloads 100 42 1