Efficiency analysis and CO2 emission reduction strategies in the US forest sector: a data envelopment analysis approach

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dc.authoridAmirteimoori, Alireza/0000-0003-4160-8509
dc.authoridZadmirzaei, Majid/0000-0002-7235-9720
dc.authorwosidAmirteimoori, Alireza/I-7703-2019
dc.contributor.authorAmirteimoori, Alireza
dc.contributor.authorZadmirzaei, Majid
dc.contributor.authorSusaeta, Andres
dc.contributor.authorAmirteimoori, Arash
dc.date.accessioned2024-05-19T14:41:37Z
dc.date.available2024-05-19T14:41:37Z
dc.date.issued2024
dc.departmentİstinye Üniversitesien_US
dc.description.abstractIndustrial economic activities produce pollutants and environmentally sustainable production systems in forestry aim to minimize these undesirable outputs while maintaining high production and economic growth. In this contribution, we assume that in addition to plot-specific inputs and outputs, there are some contextual variables that may be exogenously fixed or may be under the control of the decision-makers. In this sense, we first propose a novel and practical approach to calculate environmental efficiency by reducing undesirable products. Then, we utilize an inverse data envelopment analysis (IDEA) model to effectively manage and reduce CO2 emissions. In doing so, the applied models have been utilized to evaluate the efficiencies of 89 forest plots in the USA. Given our estimations in a real application to the forest plots, the study revealed that the average environmental efficiency score is nearly 0.75 (out of 1). However, there is potential for improvement by adjusting the impacts of contextual factors, which could raise the score to approximately 0.8. Furthermore, the analysis indicates a positive correlation between ownership and environmental efficiency, suggesting that increased ownership leads to higher environmental efficiency. Conversely, temperature exhibits a negative correlation with environmental efficiency. Finally, the results obtained from the IDEA indicate that in order to reduce undesirable outputs by a specific level of 5-10%, it is necessary to decrease other inputs and outputs. This is because, under the assumption of weak disposability, reducing the level of undesirable outputs requires a reduction in certain factors that influence production capacity. In other words, achieving the desired reduction in undesirable outputs inevitably involves diminishing certain aspects of the production process. As the major conclusion, the emergence of IDEA as a powerful tool for sensitivity analysis, along with its flexible nature, offers exciting opportunities for research and practical applications in various fields, including forestry activities. It has the potential to enhance overall environmental efficiency and enable better control over GHG emissions levels.en_US
dc.description.sponsorshipIstinye Universityen_US
dc.description.sponsorshipNo Statement Availableen_US
dc.identifier.doi10.1007/s10342-024-01663-3
dc.identifier.issn1612-4669
dc.identifier.issn1612-4677
dc.identifier.scopus2-s2.0-85186207069en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org10.1007/s10342-024-01663-3
dc.identifier.urihttps://hdl.handle.net/20.500.12713/5136
dc.identifier.wosWOS:001172894600001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofEuropean Journal of Forest Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmz20240519_kaen_US
dc.subjectForest Plot Efficiencyen_US
dc.subjectGreenhouse Gas Emissions (Ghgs)en_US
dc.subjectInverse Data Envelopment Analysis (Idea)en_US
dc.subjectUndesirable Outputsen_US
dc.titleEfficiency analysis and CO2 emission reduction strategies in the US forest sector: a data envelopment analysis approachen_US
dc.typeArticleen_US

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