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Work Performance In The Public Sector In Romania: An Analysis Of Statistical Data

Author

Listed:
  • Carmen Nadia CIOCOIU
  • Corina MARINESCU
  • Cezar SIMION
  • Mihai CIOC
  • Claudiu CICEA

Abstract

The aim of this research is to analyze statistical data related to work performance in order to design a macroeconomic overview on this theme, which in particular is more often approached at a microeconomic level. Gaining a macroeconomic perspective on work performance actually needs a relevant and more reliant set of indicators, from international data bases on labour. The main indicator used in contouring work performance is labour productivity. This indicator has an per hour basis or an per person basis method of describing productivity level of employees. This paper refers only at public sector data, using statistical classification of economic activities, included in this field. The evolution of labour productivity is also described for the EU-27 level. Three hypothesis are tested as related to work performance and factors influencing it in the public sector. A correlation analysis is developed using such type of indicators. Among main findings, the following are to be highlighted: labour productivity developments in the EU have shown a general upward trend; productivity increases have been more pronounced on an hours-worked basis than on a per person basis; although productivity growth rates are high, Romania is in the lower echelon of the EU average, in terms of labour productivity; the correlation between the performance management system and labour performance is positive and strong for the public system in Romania.

Suggested Citation

  • Carmen Nadia CIOCOIU & Corina MARINESCU & Cezar SIMION & Mihai CIOC & Claudiu CICEA, 2022. "Work Performance In The Public Sector In Romania: An Analysis Of Statistical Data," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 16(1), pages 756-774, November.
  • Handle: RePEc:rom:mancon:v:16:y:2022:i:1:p:756-774
    DOI: 10.24818/IMC/2022/04.18
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