文章基本信息

标题：THE DEVELOPMENT OF THE ROMANIAN CLUSTERS AND THEIR DETERMINANTS
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作者：SAVA Diana-Cristina ; FLOREA Adrian
期刊名称：Annals of the University of Oradea : Economic Science
印刷版ISSN：1222-569X
电子版ISSN：1582-5450
出版年度：2020
卷号：29
期号：1
页码：99-108
语种：German
出版社：University of Oradea
摘要：Innovation is the key to sustainable growth, development and competitiveness, and also the engine of the economic clusters. Nowadays innovative processes are conducted within clusters where each component plays its own strategic role at the highest rate of specialisation. The development of the clusters relies on the cooperation between companies, universities and RD institutions and local, regional or national authorities. First of all, a cluster emerges due to the spatial proximity of businesses, but the real motivation consists in the need for cooperation; the effect, along with the rational use of resources and the activities’ specialisation, relies in the enhancement of competition, a positive outcome for the economic environment. Within a cluster, the partners share resources and develop future strategies; the mostly known positive outcomes are the specialised labour force, products of higher quality, cost reductions, powerful networks of suppliers and clients, etc. In our paper we aim to assess the cluster phenomenon in Romania and we seek to determine the catalysts for the emergence of the cluster partnerships in Romania. Our approach is bidirectional: firstly we assess a correlation between the economic clusters, as a cause, and as effects, the number of working persons, unemployed persons and recorded turnovers of the regional businesses where the clusters exists; secondly, we analyse the presence of clusters in the selected regions as an effect caused by the size of the active labour force, unemployed persons, number of higher education institutions, population of 25-39 years old, working specialists and technicians and lastly, the recorded turnover, in our opinion, all these six factors being the most relevant for the development of clusters. We considered suitable for our statistical approach to calculate the Pearson coefficient and also to apply the ANOVA method being able to assess also the extent of each factor’s influence on the development of the Romanian clusters. In the last part of this paper the findings are tested by using the Student’s and Fisher’s tests.