Environmental performance evaluation in the forest sector: An extended stochastic data envelopment analysis approach
Yükleniyor...
Tarih
2024
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier science INC
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This study addresses the global concern about undesirable outputs in the Forest Sector. We propose two innovative models, namely a directional weak disposable DEA model and an extended stochastic DEA model, to measure environmental efficiency. These models make a significant contribution to the field by specifically assessing the uncertain environmental efficiency of the forest sector. We validated our proposed models by conducting an empirical application using the United Nations Economic Commission for Europe (UNECE) forest sector dataset. The study examines important outputs such as above ground biomass stock, export unit prices of industrial roundwood, wood removals (desirable outputs), and CO2 emissions from wildfires (undesirable output). The results demonstrate that our novel stochastic weak disposability DEA model outperforms traditional approaches when the second scenario is applied. Specifically, the average technical efficiency (TE) score decreases to 0.92, and the number of efficient units reduces to 27, representing an approximate improvement of 55 %. Furthermore, the reduction rate of CO2 emissions is 4.09 % lower than the benchmark. Hence, our extended novel stochastic weak disposability DEA approach enhances the assessment of efficiency and inefficiency in decision-making units, contributing to the mitigation of risk and uncertainty. It also improves overall environmental performance in forest management.
Açıklama
Anahtar Kelimeler
Stochastic Data Envelopment Analysis, Forest Sector Management, Greenhouse Gas Emissions, Uncertain Environmental Efficiency, Weak Disposability Assumption
Kaynak
Socio-economic planning sciences
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
94
Sayı
Künye
Amirteimoori, A., Cezar, A., Zadmirzaei, M., & Susaeta, A. (2024). Environmental performance evaluation in the forest sector: An extended stochastic data envelopment analysis approach. Socio-Economic Planning Sciences, 94, 101943.
