J 2022

Analysis of the forestry employment within the bioeconomy labour market in the Czech Republic

PERUNOVÁ, Michaela and Jarmila ZIMMERMANNOVÁ

Basic 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.