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An Empirical Research On The Evolution Of Businesses Of The Main Retail Companies In Romania

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  • Kovacs (Kiss) Marta

Abstract

Global retail chains expanded rapidly in Romania since 2000 (Javorcik et al., 2013), their presence bringing significant changes in the landscape of the developing national economy. In this study we used data on six major retail companies in Romania, statistical data from Eurostat, and I proposed two models to highlight a link between the variables. The aim of this paper is to identify the relationship between the turnover and the number of employees of the main retail companies in Romania, in the first model using linear regression. In the second model we used multiple regression analysis to identify the relationship between the dependent variable (turnover) and independent variables (Internet users, Individuals having ordered / bought online). The result of the study paper is to evidence the fact that the increase in the number of employees in the retail sector will lead to the increase of their turnover.

Suggested Citation

  • Kovacs (Kiss) Marta, 2014. "An Empirical Research On The Evolution Of Businesses Of The Main Retail Companies In Romania," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 1013-1018, July.
    • Handle: RePEc:ora:journl:v:1:y:2014:i:1:p:1013-1018
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    File URL: http://anale.steconomiceuoradea.ro/volume/2014/n1/111.pdf
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    References listed on IDEAS

    as
    1. Javorcik, Beata S. & Li, Yue, 2013. "Do the biggest aisles serve a brighter future? Global retail chains and their implications for Romania," Journal of International Economics, Elsevier, vol. 90(2), pages 348-363.
    2. Vlad Miranda Petronella & Corina Rusu, 2012. "Survey On The Use And The Interest Of Individuals In Online Stores," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(2), pages 355-363, December.
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    More about this item

    Keywords

    Internet users; regression models; retail; turnover;
    All these keywords.

    JEL classification:

    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce

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