A micro-level perspective of efficiency evaluation: The case of V4-country timber companies

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F24%3A43925248" target="_blank" >RIV/62156489:43110/24:43925248 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1063/5.0210371" target="_blank" >https://doi.org/10.1063/5.0210371</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1063/5.0210371" target="_blank" >10.1063/5.0210371</a>

Jazyk výsledku

angličtina

Název v původním jazyce

A micro-level perspective of efficiency evaluation: The case of V4-country timber companies

Popis výsledku v původním jazyce

This paper deals with the calculation of the efficiency scores of timber companies in the V4 countries using the parametric stochastic frontier analysis method and the non-parametric data envelopment analysis method in order to verify the plausibility of both approaches. From each method, the most common model setting is selected in practice. Analyses are performed on the basis of companies&apos; accounting (micro) data. The reliability of the models is assessed in terms of the correlation coefficient but also using information about the financial health of the company. The results of this article show that it is not appropriate to simply monitor only the returns to scale assumption. Correlation analysis shows that the non-parametric BCC model differs the most. On considering the results of companies heading for bankruptcy, the results of the non-parametric CCR model seem to be the most appropriate.

Název v anglickém jazyce

A micro-level perspective of efficiency evaluation: The case of V4-country timber companies

Popis výsledku anglicky

This paper deals with the calculation of the efficiency scores of timber companies in the V4 countries using the parametric stochastic frontier analysis method and the non-parametric data envelopment analysis method in order to verify the plausibility of both approaches. From each method, the most common model setting is selected in practice. Analyses are performed on the basis of companies&apos; accounting (micro) data. The reliability of the models is assessed in terms of the correlation coefficient but also using information about the financial health of the company. The results of this article show that it is not appropriate to simply monitor only the returns to scale assumption. Correlation analysis shows that the non-parametric BCC model differs the most. On considering the results of companies heading for bankruptcy, the results of the non-parametric CCR model seem to be the most appropriate.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10102 - Applied mathematics

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

AIP Conference Proceedings 3094

ISBN

978-0-7354-4954-1

ISSN

0094-243X

e-ISSN

—

Počet stran výsledku

4

Strana od-do

100002

Název nakladatele

American Institute of Physics (AIP)

Místo vydání

Melville

Místo konání akce

Herákleion

Datum konání akce

19. 9. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001244923000072