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Natalia Panayotova

Researcher at Sofia University

Publications -  7
Citations -  21

Natalia Panayotova is an academic researcher from Sofia University. The author has contributed to research in topics: SWOT analysis & Capital intensity. The author has an hindex of 3, co-authored 7 publications receiving 20 citations.

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Analysis of the Situation and Factors for Development of SMEs in Bulgaria: SMEs in the Crisis Context

TL;DR: In this article, the authors examine the present situation of the SME sector, the potential of development of the enterprises, and describe the key effects from the state policies, focusing on the key factors for sustainable development and competitiveness.
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Analysis of the Situation and Factors for Development of SMEs in Bulgaria 2011-2012: Economic Recovery and Competitiveness

TL;DR: In this paper, the English version of this paper can be found at http://ssrn.com/abstract=2290712, where the authors present an English translation of the article.
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A Study of Entrepreneurship and the Prospects for Innovations Development in SMEs (2012-2013)

TL;DR: In this paper, the Bulgarian Small and Medium Enterprises Analysis for the period 2012-2013 has been elaborated for the purposes and needs of the Bulgarian SME Promotion Agency (BSMEPA), which is responsible for the implementation of national policies in the area of small and medium-size enterprises.
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Modeling Returns to Education and Labour Market Outcomes of Doctoral Degree Holders in Bulgaria

TL;DR: In this article, the theoretical framework of the so-called Mincerian equations used for modeling returns to education is presented, which allows us to answer the question "What happens to doctoral degrees on the labour market?" and find that a doctoral degree in natural or technical science has a significantly higher pay-off than a degree in social or humanitarian studies.
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Analysis of the Situation and Factors for Development of SMEs in Bulgaria: SMEs in the Crisis Context (Bulgarian Version)

TL;DR: In this article, the authors present a survey of the state-of-the-art technologies used in the field of data collection and analysis in the context of data mining. But their work is limited to the following technologies: