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Original scientific paper

https://doi.org/10.5552/crojfe.2022.1541

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

Michaela Staňková ; Mendel University in Brno Faculty of Business and Economics Department of Statistics and Operation Analysis Zemědělská 1 613 00, Brno CZECH REPUBLIC
David Hampel ; Mendel University in Brno Faculty of Business and Economics Department of Statistics and Operation Analysis Zemědělská 1 613 00, Brno CZECH REPUBLIC
Jitka Janová ; Mendel University in Brno Faculty of Business and Economics Department of Statistics and Operation Analysis Zemědělská 1 613 00, Brno CZECH REPUBLIC


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Abstract

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.

Keywords

forest management, forest policy, data envelopment analysis, micro-data, company size, malmquist index

Hrčak ID:

290861

URI

https://hrcak.srce.hr/290861

Publication date:

30.6.2022.

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