The relationship between investment in machinery, employment, and output of forestry in Switzerland

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F24%3A43925731" target="_blank" >RIV/62156489:43110/24:43925731 - isvavai.cz</a>

Výsledek na webu

<a href="https://mme2024.ujep.cz/wp-content/uploads/2024/10/MME_2024_Conference_Proceedings-Final.pdf" target="_blank" >https://mme2024.ujep.cz/wp-content/uploads/2024/10/MME_2024_Conference_Proceedings-Final.pdf</a>

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

The relationship between investment in machinery, employment, and output of forestry in Switzerland

Popis výsledku v původním jazyce

This article deals with time series modelling in the field of forest management. Specifically, it is a time series containing information on investments in machinery and equipment, a time series on the number of work units and a time series on the output of the forestry sector. The data comes from the period between 1992 and 2022 in Switzerland. For this purpose, a vector autoregression model was estimated to model the dynamics between these variables, Granger causality was tested to determine interrelationships and causalities and Impulse-response analysis was performed to understand how quickly and significantly variables respond to shocks. The results obtained indicate that sudden changes in forestry output stimulate additional investment in the following year to meet the increased demand for logging and wood processing. Furthermore, the results indicate that investments in machinery and equipment affect the number of working units. In this direction, there is a decrease in working units if there were additional investments in machinery and equipment in the previous period.

Název v anglickém jazyce

The relationship between investment in machinery, employment, and output of forestry in Switzerland

Popis výsledku anglicky

This article deals with time series modelling in the field of forest management. Specifically, it is a time series containing information on investments in machinery and equipment, a time series on the number of work units and a time series on the output of the forestry sector. The data comes from the period between 1992 and 2022 in Switzerland. For this purpose, a vector autoregression model was estimated to model the dynamics between these variables, Granger causality was tested to determine interrelationships and causalities and Impulse-response analysis was performed to understand how quickly and significantly variables respond to shocks. The results obtained indicate that sudden changes in forestry output stimulate additional investment in the following year to meet the increased demand for logging and wood processing. Furthermore, the results indicate that investments in machinery and equipment affect the number of working units. In this direction, there is a decrease in working units if there were additional investments in machinery and equipment in the previous period.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

50202 - Applied Economics, Econometrics

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Mathematical Methods in Economics 2024: Proceedings

ISBN

978-80-7561-482-7

ISSN

2788-3965

e-ISSN

—

Počet stran výsledku

6

Strana od-do

177-182

Název nakladatele

Česká společnost pro operační výzkum, z. s.

Místo vydání

Praha

Místo konání akce

Ústí nad Labem

Datum konání akce

11. 9. 2024

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—