J 2022

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

PERUNOVÁ, Michaela a Jarmila ZIMMERMANNOVÁ

Základní údaje

Originální název

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

Autoři

PERUNOVÁ, Michaela (703 Slovensko) a Jarmila ZIMMERMANNOVÁ (203 Česká republika, domácí)

Vydání

Journal of Forest Science, 2022, 1212-4834

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

50202 Applied Economics, Econometrics

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Organizační jednotka

Moravská vysoká škola Olomouc

DOI

http://dx.doi.org/10.17221/84/2022-JFS

UT WoS

000860694100001

Klíčová slova anglicky

forestry; bioeconomy; employment; regression analysis; Czech Republic

Štítky

RIV2023
Změněno: 5. 1. 2023 11:10, Ing. Michaela Nováková

Anotace

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.
Zobrazeno: 5. 11. 2024 07:03