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Entrepreneurial Activity In Romania - A Time Series Clustering Analysis At The Nuts3 Level

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  • Sipos-Gug Sebastian

    () (University of Oradea, Faculty of Economics)

  • Badulescu Alina-Daciana

    () (University of Oradea, Faculty of Economics)

Abstract

Entrepreneurship is an active field of research, having known a major increase in interest and publication levels in the last years (Landström et al., 2012). Within this field recently there has been an increasing interest in understanding why some regions seem to have a significantly higher entrepreneurship activity compared to others. In line with this research field, we would like to investigate the differences in entrepreneurial activity among the Romanian counties (NUTS 3 regions). While the classical research paradigm in this field is to conduct a temporally stationary analysis, we choose to use a time series clustering analysis to better understanding the dynamics of entrepreneurial activity between counties. Our analysis showed that if we use the total number of new privately owned companies that are founded each year in the last decade (2002-2012) we can distinguish between 5 clusters, one with high total entrepreneurial activity (18 counties), one with above average activity (8 counties), two clusters with average and slightly below average activity (total of 18 counties) and one cluster with low and declining activity (2 counties). If we are interested in the entrepreneurial activity rate, that is the number of new privately owned companies founded each year adjusted by the population of the respective county, we obtain 4 clusters, one with a very high entrepreneurial rate (1 county), one with average rate (10 counties), and two clusters with below average entrepreneurial rate (total of 31 counties). In conclusion, our research shows that Romania is far from being a homogeneous geographical area in respect to entrepreneurial activity. Depending on what we are interested in, it can be divided in 5 or 4 clusters of counties, which behave differently as a function of time. Further research should be focused on explaining these regional differences, on studying the high performance clusters and trying to improve the low performing ones.

Suggested Citation

  • Sipos-Gug Sebastian & Badulescu Alina-Daciana, 2013. "Entrepreneurial Activity In Romania - A Time Series Clustering Analysis At The Nuts3 Level," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 673-682, July.
  • Handle: RePEc:ora:journl:v:1:y:2013:i:1:p:673-682
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    File URL: http://anale.steconomiceuoradea.ro/volume/2013/n1/072.pdf
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    References listed on IDEAS

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    1. Glaeser, Edward L. & Kerr, William R. & Ponzetto, Giacomo A.M., 2010. "Clusters of entrepreneurship," Journal of Urban Economics, Elsevier, vol. 67(1), pages 150-168, January.
    2. Schumpeter, Joseph A., 1947. "The Creative Response in Economic History," The Journal of Economic History, Cambridge University Press, vol. 7(02), pages 149-159, November.
    3. Glavan, Bogdan, 2007. "Coordination Failures, Cluster Theory and Entrepreneurship: A Critical View," MPRA Paper 6033, University Library of Munich, Germany.
    4. Franz Kronthaler, 2005. "Economic capability of East German regions: Results of a cluster analysis," Regional Studies, Taylor & Francis Journals, vol. 39(6), pages 739-750.
    5. Faria, João Ricardo & Cuestas, Juan Carlos & Mourelle, Estefanía, 2010. "Entrepreneurship and unemployment: A nonlinear bidirectional causality?," Economic Modelling, Elsevier, vol. 27(5), pages 1282-1291, September.
    6. Anselin, Luc & Varga, Attila & Acs, Zoltan, 1997. "Local Geographic Spillovers between University Research and High Technology Innovations," Journal of Urban Economics, Elsevier, vol. 42(3), pages 422-448, November.
    7. Justin van der Sluis & Mirjam van Praag & Wim Vijverberg, 2008. "Education And Entrepreneurship Selection And Performance: A Review Of The Empirical Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 22(5), pages 795-841, December.
    8. Mercedes Delgado & Michael E. Porter & Scott Stern, 2010. "Clusters and entrepreneurship," Journal of Economic Geography, Oxford University Press, vol. 10(4), pages 495-518, July.
    9. Karlsson, Charlie & Johansson, Börje & Stough, Roger, 2008. "Entrepreneurship and Innovation in Functional Regions," Working Paper Series in Economics and Institutions of Innovation 144, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    10. Landström, Hans & Harirchi, Gouya & Åström, Fredrik, 2012. "Entrepreneurship: Exploring the knowledge base," Research Policy, Elsevier, vol. 41(7), pages 1154-1181.
    11. Hector Rocha & Rolf Sternberg, 2005. "Entrepreneurship: The Role of Clusters Theoretical Perspectives and Empirical Evidence from Germany," Small Business Economics, Springer, vol. 24(3), pages 267-292, February.
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    Cited by:

    1. Badulescu, Daniel & Cadar, Otilia, 2016. "Romania: Many Entrepreneurs but Few Innovators," MPRA Paper 78924, University Library of Munich, Germany.

    More about this item

    Keywords

    entrepreneurship; cluster analysis; time series; regional clustering;

    JEL classification:

    • L26 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Entrepreneurship
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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