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What Influences more the Entrepreneurship in European Countries: Opportunity or Necessity?

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  • ªtefãnescu Daniela

    (Petru Maior University of Tîrgu-Mureº)

Abstract

This study aims to analyse the influence of the opportunity and of the necessity on the entrepreneurial activity in last years in European countries. In order to achieve its aim, there are used official databases related to the entrepreneurship activity measured by Global Entrepreneurship Monitor (GEM) and the main representative indicator of the economic development – growth rate of GDP per capita. In order to establish the most important factor which has the major impact to the development of the entrepreneurial activity in analysed countries, we applied Cluster Analysis, and statistical indicators and methods. According to the previous studies, there are differences between countries regarding the opportunity, respectively the necessity impact on entrepreneurial activity, thus we are focus to find if the previous conclusions are available also in the current international context, influenced by the crisis.

Suggested Citation

  • ªtefãnescu Daniela, 2012. "What Influences more the Entrepreneurship in European Countries: Opportunity or Necessity?," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 224-229, Decembre.
    • Handle: RePEc:ovi:oviste:v:xii:y:2012:i:2:p:224-229
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    More about this item

    Keywords

    entrepreneurship; economic development; Cluster Analysis; opportunity; necessity;
    All these keywords.

    JEL classification:

    • L26 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Entrepreneurship
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

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