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Abstract: The wood-based bioeconomy is one of the main pillars of sustainable transformation and decarbonisation of the economy, as it promotes the use of renewable resources, reduces reliance on fossil fuels, and supports the development of eco-friendly industries. The paper provides quantitative insight into the potential impacts of transformation of the wood-based bioeconomy in Slovenia, a small, export-oriented economy with ample, but sub-optimally used, forest resources. The analysis uses an input–output (I-O) model to estimate I-O multipliers of sectors representing the wood-based bioeconomy and to capture their direct and indirect impacts on the Slovenian economy. The baseline performance of the wood bioeconomy sectors and their potential to induce economic activity (Scenario A) are estimated with an adjusted I-O model (based on the national I-O table for 2015), in which hybrid sectors are divided into conventional and bio-based segments. Alternative transformation pathways are translated into four additional scenarios. While Scenario B foresees progress in efficiency and integration within the existing structure of transactions, Scenario C (increased energy use of wood biomass) and Scenarios D/D+ (technology- and capital-intensive restructuring) represent two extreme restructuring pathways of the sector. The results of scenario analysis with the I-O model show that the changes in the input requirement structure of the Slovenian wood-based bioeconomy could result in up to a 17% increase in total output, up to a 20% increase in the number of employees, and up to a 16% increase in incomes, all of them attributed to the most optimistic scenario (D+). The results of the study provide quantified assessments underpinning strategic planning for the wood-based bioeconomy, both in the industry and public policy spheres.
Keywords: wood-based bioeconomy, input–output model, transformation pathways, impact analysis, strategic planning
Published in DiRROS: 09.01.2025; Views: 84; Downloads: 42
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Keywords: les, tržne razmere, les
Published in DiRROS: 11.12.2024; Views: 105; Downloads: 27
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Abstract: This study examines the factors that influence the decision-making rationality of private forest owners (PFOs) when implementing salvage logging after large-scale natural disturbances. The literature suggests two main responses to large large-scale natural disturbances: performing salvage logging and no salvage at all. When salvage logging is carried out, two different strategies can be applied: clearing, i.e. all trees are removed, including damaged trees and standing survivors; and salvaging, i.e. damaged trees are removed but the surviving trees are left and some dead trees are left standing. In an online survey conducted in Slovenia in March and April 2022, responses were collected from 1515 forest-owning households. A logistic regression model was created to analyse the data and understand how socio-demographic characteristics, characteristics of forest property, forest management activities and the market influence their decisions. The results show that previous management activities and cooperation with service providers significantly influence PFOs' decision-making rationality to implement salvage logging. The study contributes to a nuanced understanding of the complex decision-making processes in forestry. Future research opportunities lie in investigating specific aspects of past management activities and understanding the dynamics in cooperation between different actors to develop customised policies for effective forest management after large-scale natural disturbances.
Keywords: forestry, environmental disturbances, private forest owners, decision making process, post-damage management, logistic regression analysis
Published in DiRROS: 26.11.2024; Views: 127; Downloads: 33
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Keywords: les, tržne razmere, zasebni gozdovi, Slovenija
Published in DiRROS: 29.10.2024; Views: 218; Downloads: 1145
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Keywords: gozdarstvo, gozdna mehanizacija, sekalniki
Published in DiRROS: 29.10.2024; Views: 230; Downloads: 892
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