Detailed Information on Publication Record
2022
Analysis of the forestry employment within the bioeconomy labour market in the Czech Republic
PERUNOVÁ, Michaela and Jarmila ZIMMERMANNOVÁBasic information
Original name
Analysis of the forestry employment within the bioeconomy labour market in the Czech Republic
Authors
PERUNOVÁ, Michaela (703 Slovakia) and Jarmila ZIMMERMANNOVÁ (203 Czech Republic, belonging to the institution)
Edition
Journal of Forest Science, 2022, 1212-4834
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
50202 Applied Economics, Econometrics
Country of publisher
Czech Republic
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Organization unit
Moravian Business College Olomouc
UT WoS
000860694100001
Keywords in English
forestry; bioeconomy; employment; regression analysis; Czech Republic
Tags
Změněno: 5/1/2023 11:10, Ing. Michaela Nováková
Abstract
V originále
Climate change, biodiversity loss, and the increased occurrence of extreme weather events bring new challenges at a global level, not just in forestry. In response to the current situation, modified economic models such as circular economy, green economy, bio-based economy, or bioeconomy, are expected to move society towards a more sustainable future. The main aim of this paper was to evaluate forestry employment and its drivers within the bioeconomy labour market in the Czech Republic. The partial target was to provide a general view of the development of forestry employment within the bioeconomy labour market. The authors applied a mixed methods approach, using literature review, data analysis, correlation analysis, and regression analysis. A decreasing trend in the share of forestry employment in total bioeconomy employment and in the share of bioeconomy employment in the labour market in the Czech Republic was identified. Regarding the drivers of the forestry labour market, based on the results, employment in the forestry sector is positively dependent on wages/salaries and negatively dependent on GDP and forest land.