Micro-Data Efficiency Evaluation of Forest Companies: The Case of Central Europe

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F22%3A43921702" target="_blank" >RIV/62156489:43110/22:43921702 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.5552/crojfe.2022.1541" target="_blank" >https://doi.org/10.5552/crojfe.2022.1541</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5552/crojfe.2022.1541" target="_blank" >10.5552/crojfe.2022.1541</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Micro-Data Efficiency Evaluation of Forest Companies: The Case of Central Europe

Popis výsledku v původním jazyce

The forestry sector is facing critical challenges due to climate change. Decision-making support based on efficiency evaluation using non-parametric methods could provide important information for both forest managers and policymakers. However, such advanced technical analysis is scarce in forestry science. When applied, its application has been primarily based on aggregated, macro-level data, and efficiency was analysed for the forestry sector as a whole. There is a lack of studies from the company-level perspective, which are needed to provide sound decision support. In this paper, we focus on the micro-data level and offer the data envelopment analysis model settings and interpretations for an efficiency evaluation based on the financial data of individual forestry companies. The aim is to provide an original analysis of the company-level driving forces of forestry sector efficiency. The results for central European countries show that efficiency is driven by company size and country of operation. The study also confirms that, generally, German companies are the }}efficiency leaders(( in the region, while Czech companies may serve as an efficiency reference for east-central European forestry companies.

Název v anglickém jazyce

Micro-Data Efficiency Evaluation of Forest Companies: The Case of Central Europe

Popis výsledku anglicky

The forestry sector is facing critical challenges due to climate change. Decision-making support based on efficiency evaluation using non-parametric methods could provide important information for both forest managers and policymakers. However, such advanced technical analysis is scarce in forestry science. When applied, its application has been primarily based on aggregated, macro-level data, and efficiency was analysed for the forestry sector as a whole. There is a lack of studies from the company-level perspective, which are needed to provide sound decision support. In this paper, we focus on the micro-data level and offer the data envelopment analysis model settings and interpretations for an efficiency evaluation based on the financial data of individual forestry companies. The aim is to provide an original analysis of the company-level driving forces of forestry sector efficiency. The results for central European countries show that efficiency is driven by company size and country of operation. The study also confirms that, generally, German companies are the }}efficiency leaders(( in the region, while Czech companies may serve as an efficiency reference for east-central European forestry companies.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10103 - Statistics and probability

Projekt

<a href="/cs/project/GA18-08078S" target="_blank" >GA18-08078S: Optimální politiky za přítomnosti nelineárních vazeb v ekonomice smíšených lesů</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název periodika

Croatian Journal of Forest Engineering

ISSN

1845-5719

e-ISSN

1848-9672

Svazek periodika

43

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

HR - Chorvatská republika

Počet stran výsledku

16

Strana od-do

441-456

Kód UT WoS článku

000881428900014

EID výsledku v databázi Scopus

2-s2.0-85135464816