MAREŠ, David and Radka PROCHÁZKOVÁ. Employees´ prospects in selected sectors of the CR food industry. In Karel Tomšík. Agrarian perspectives XXVII. Food safety - food security - Proceedings of the 27th International Scientific Conference. Prague: Czech University of Life Sciences Prague. p. 167-173. ISBN 978-80-213-2890-7. 2018.
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Basic information
Original name Employees´ prospects in selected sectors of the CR food industry
Authors MAREŠ, David (203 Czech Republic, guarantor, belonging to the institution) and Radka PROCHÁZKOVÁ (203 Czech Republic).
Edition Prague, Agrarian perspectives XXVII. Food safety - food security - Proceedings of the 27th International Scientific Conference, p. 167-173, 7 pp. 2018.
Publisher Czech University of Life Sciences Prague
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 50203 Industrial relations
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW URL
RIV identification code RIV/04274644:_____/18:#0000578
Organization unit University of Finance and Administration
ISBN 978-80-213-2890-7
UT WoS 000512313800023
Keywords (in Czech) Potravinářské odvětví, zaměstnanci, osobní náklady, produktivita práce, přidaná hodnota,
Keywords in English Food industry; employees; personnel costs; labour productivity; gross value added;
Tags AR 2018-2019, AR 2020-2021, cervenec_2019_o, konference_WOS, odmeny_2021, RIV_2021, xD1_překvalifikování, xD2
Changed by Changed by: Bc. Jan Peterec, učo 24999. Changed: 14/4/2021 09:08.
Abstract
The authors are dealing with employees´ prospects in selected sectors of the CR food industry. Foodstuffs production may not have expanded its share on the production characteristics of processing industry but it has remained a significant employer in many regions anyway, and it has kept holding a leading position in the processing industry. The main target of the paper is to identify factors influencing the employees´ prospects in selected food industry sectors significantly. A partial target of the paper then is modeling of long-term development trends of selected employment factors in the CR food industry and forecasting of these. Using advanced statistical methods from the time series analysis area, long-term tendencies of a broad spectre of Czech food industry efficiency aspects have been described. Future development forecasts have been constructed based on selected indicators´ development. The authors have exploited accessible data bases of the Ministry of Agriculture Czech republic. The analysis has been done based on time series over 2000-2016 years. In order to identify and verify statistically the factors affecting significantly employees´ prospects in selected sectors of the CR food industry, regression and correlation analysis has been applied.
Abstract (in Czech)
The authors are dealing with employees´ prospects in selected sectors of the CR food industry. Foodstuffs production may not have expanded its share on the production characteristics of processing industry but it has remained a significant employer in many regions anyway, and it has kept holding a leading position in the processing industry. The main target of the paper is to identify factors influencing the employees´ prospects in selected food industry sectors significantly. A partial target of the paper then is modeling of long-term development trends of selected employment factors in the CR food industry and forecasting of these. Using advanced statistical methods from the time series analysis area, long-term tendencies of a broad spectre of Czech food industry efficiency aspects have been described. Future development forecasts have been constructed based on selected indicators´ development. The authors have exploited accessible data bases of the Ministry of Agriculture Czech republic. The analysis has been done based on time series over 2000-2016 years. In order to identify and verify statistically the factors affecting significantly employees´ prospects in selected sectors of the CR food industry, regression and correlation analysis has been applied
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