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Productivity And Remuneration Of Labour: Disparities Across Sectors And Countries

Author

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  • Mariusz Hamulczuk

    (Department of Agricultural Economics and International Economic Relations Warsaw University of Life Sciences)

Abstract

The aim of this paper is to investigate the relationship between labour productivity and labour remuneration among agricultural and non-agricultural sectors in selected EU countries. The issue under investigation pertains to the question of whether remunerations for labour and their rate of growth are attributable to changes in labour productivity. The problem is analyzed via static and dynamic approaches. To carry out the research, the authors’ own analytical approach is used, while appropriate statistical data for 1995–2013 and methods are used to verify the hypothesis. The conclusionof the study is that the relationship between remunerationand productivity substantially differ across sectors and countries. Especially in the agricultural sector, one can observe that the level of remuneration and growth are weakly related to productivity growth.

Suggested Citation

  • Mariusz Hamulczuk, 2017. "Productivity And Remuneration Of Labour: Disparities Across Sectors And Countries," OLSZTYN ECONOMIC JOURNAL, University of Warmia and Mazury in Olsztyn, Faculty of Economic Sciences, vol. 12(2), pages 151-162, May.
  • Handle: RePEc:ole:journl:v:12:y:2017:i:2:p:151-162
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    File URL: http://www.uwm.edu.pl/wne/podstrony/oej1/wydania/eko12_17_2.pdf
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    Cited by:

    1. Katarzyna Łukiewska & Małgorzata Juchniewicz, 2021. "Identification of the Relationships between Competitive Potential and Competitive Position of the Food Industry in the European Union," Sustainability, MDPI, vol. 13(8), pages 1-13, April.

    More about this item

    Keywords

    labour productivity; remuneration; disparities; analysis of sectors; European Union;
    All these keywords.

    JEL classification:

    • A1 - General Economics and Teaching - - General Economics
    • J0 - Labor and Demographic Economics - - General

    Statistics

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