Exploring technical efficiency in the European forest sector: a two-stage chance-constrained data envelopment analysis

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Küçük Resim

Tarih

2025

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Elsevier b.v.

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

This study analyses the technical efficiency of the forestry sector in Europe which comprises 40 countries. The novelty of this study is the stochasticity of the data and the existence of contextual variables in the two-stage production process of the forest sector. We first developed a two-stage chance-constrained data envelopment analysis model in which the forestry and exploitation stages occur at country-specific levels within the European forest production sector. It was found that the forest management stage is generally more efficient than the exploitation stage and total production at the country-specific level. Contextual variables have a significant impact on efficiency scores, which means that efficiency calculations in the subsequent stage need to be adjusted to take these influences into account. By mitigating these contextual effects, the study improved technical efficiency scores, highlighting top performers like the Russian Federation (DMU31 in North zone), Switzerland (DMU37 in Central-West zone), and Iceland (DMU16 in North zone) with TE scores of 1.0322, 1.0209, and 1.0198 respectively, while also identifying areas for enhancement in countries such as Turkey (DMU38 in South-East zone), Slovakia (DMU33 in Central-East zone), and Romania (DMU30 in Central-East zone) which fall into the lowest three ranks based on their performance with TE scores of 0.5583, 0.5058, and 0.4482 respectively. An important conclusion is that these findings are crucial for policymakers and stakeholders in Europe when developing strategies to improve efficiency and sustainability in the forest sector.

Açıklama

Anahtar Kelimeler

Contextual Factors, Data Envelopment Analysis, Stochastic Data, Technical Efficiency, Two-Stage Processes

Kaynak

Forest policy and economics

WoS Q DeÄŸeri

Scopus Q DeÄŸeri

Q1

Cilt

170

Sayı

Künye

Amirteimoori, A., Allahviranloo, T., & Zadmirzaei, M. (2025). Exploring technical efficiency in the European forest sector: A two-stage chance-constrained data envelopment analysis. Forest Policy and Economics, 170, 103370.