Patterns for cluster emergence in latecomer economies

Giedrius Jucevicius, Kristina Grumadaite

Abstract


It has been proven that various self-organisation based industrial systems, including industrial clusters, have a very positive influence on individual firms, regions and countries as a meaningful tool to adapt to the complexity of environment in a qualitative, flexible and timely manner. Being in a cluster helps firms to gain competitiveness through enhanced specialization and reduced transaction costs, collective learning and knowledge sharing and thus create a well-being for regions and countries. Regardless the advantages of industrial self-organization, the emergence of self-organizing industrial systems face many challenges in so called “latecomer” countries (Storper et al., 1998), especially in the Post-Soviet states. Thus, the creation and implementation of strategies that enable the emergence of self-organizing industrial systems is especially relevant to the societies and economics of these countries.

However, there is a lack of scientific research that is being done in regard to bottom-up emergence of networked structures. The literature on clusters in Post-Soviet countries usually emphasizes the challenges of cluster emergence but proposes only general recommendations to overcome them. This article seeks to contribute to the existing research by evaluating cluster emergence taking the typologies and context of clusters into account and thus proposing various patterns of cluster emergence in latecomer economies.

 


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