Analyzing Growing Wood Pellet Markets in Face of Renewable Energy Demand: Making Informed Trading Decisions with Multi-Criteria Decision-Making Model

As a sustainable and cost-effective biofuel source for power generation and heating systems, wood pellets play a critical role in the renewable energy landscape. This leads to the discussion on their international trade on the edge of major global challenges such as climate change and energy securit...

Full description

Saved in:
Bibliographic Details
Main Authors: Bilgen Akmermer, Pelin Senturk
Format: Article
Language:English
Published: University of Zagreb, Faculty of Forestry and Wood Technology 2025-01-01
Series:Drvna Industrija
Subjects:
Online Access:https://hrcak.srce.hr/file/476567
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1850216817421713408
author Bilgen Akmermer
Pelin Senturk
author_facet Bilgen Akmermer
Pelin Senturk
author_sort Bilgen Akmermer
collection DOAJ
description As a sustainable and cost-effective biofuel source for power generation and heating systems, wood pellets play a critical role in the renewable energy landscape. This leads to the discussion on their international trade on the edge of major global challenges such as climate change and energy security. In this paper, we focus on the wood pellets trade and analyze its growing markets by decision-making models. A hybrid multi-criteria decision-making model (MCDM) is proposed, supported by critical criteria of international trade, to trading countries’ executives to make informed decisions on target markets. The model includes both criteria (value imported, trade balance, unit value, annual growth in value, CO2 emission, logistic performance index, concentration of supplying countries) and alternatives (17 prior importing countries). It determines the weights of criteria by Criteria Importance Through Intercriteria Correlation (CRITIC) method and ranks alternatives by Additive Ratio Assessment (ARAS) technique. Based on CRITIC analysis, “concentration of supplying countries” is found as the most significant criterion. According to the results, within informed trading decisions, the top three markets for exporting countries are determined as the United Kingdom, Japan, and the Netherlands in terms of growing demand for wood pellets.
format Article
id doaj-art-bd3cd693c495416b9d8c3e6a7611b8d2
institution OA Journals
issn 0012-6772
1847-1153
language English
publishDate 2025-01-01
publisher University of Zagreb, Faculty of Forestry and Wood Technology
record_format Article
series Drvna Industrija
spelling doaj-art-bd3cd693c495416b9d8c3e6a7611b8d22025-08-20T02:08:12ZengUniversity of Zagreb, Faculty of Forestry and Wood TechnologyDrvna Industrija0012-67721847-11532025-01-01761576710.5552/drvind.2025.0196Analyzing Growing Wood Pellet Markets in Face of Renewable Energy Demand: Making Informed Trading Decisions with Multi-Criteria Decision-Making ModelBilgen Akmermer0Pelin Senturk1Karadeniz Technical University, ORTAHISAR, TurkeyKaradeniz Technical University, Ortahisar, TurkeyAs a sustainable and cost-effective biofuel source for power generation and heating systems, wood pellets play a critical role in the renewable energy landscape. This leads to the discussion on their international trade on the edge of major global challenges such as climate change and energy security. In this paper, we focus on the wood pellets trade and analyze its growing markets by decision-making models. A hybrid multi-criteria decision-making model (MCDM) is proposed, supported by critical criteria of international trade, to trading countries’ executives to make informed decisions on target markets. The model includes both criteria (value imported, trade balance, unit value, annual growth in value, CO2 emission, logistic performance index, concentration of supplying countries) and alternatives (17 prior importing countries). It determines the weights of criteria by Criteria Importance Through Intercriteria Correlation (CRITIC) method and ranks alternatives by Additive Ratio Assessment (ARAS) technique. Based on CRITIC analysis, “concentration of supplying countries” is found as the most significant criterion. According to the results, within informed trading decisions, the top three markets for exporting countries are determined as the United Kingdom, Japan, and the Netherlands in terms of growing demand for wood pellets.https://hrcak.srce.hr/file/476567wood pelletinternational marketbiofuel tradecriticaras
spellingShingle Bilgen Akmermer
Pelin Senturk
Analyzing Growing Wood Pellet Markets in Face of Renewable Energy Demand: Making Informed Trading Decisions with Multi-Criteria Decision-Making Model
Drvna Industrija
wood pellet
international market
biofuel trade
critic
aras
title Analyzing Growing Wood Pellet Markets in Face of Renewable Energy Demand: Making Informed Trading Decisions with Multi-Criteria Decision-Making Model
title_full Analyzing Growing Wood Pellet Markets in Face of Renewable Energy Demand: Making Informed Trading Decisions with Multi-Criteria Decision-Making Model
title_fullStr Analyzing Growing Wood Pellet Markets in Face of Renewable Energy Demand: Making Informed Trading Decisions with Multi-Criteria Decision-Making Model
title_full_unstemmed Analyzing Growing Wood Pellet Markets in Face of Renewable Energy Demand: Making Informed Trading Decisions with Multi-Criteria Decision-Making Model
title_short Analyzing Growing Wood Pellet Markets in Face of Renewable Energy Demand: Making Informed Trading Decisions with Multi-Criteria Decision-Making Model
title_sort analyzing growing wood pellet markets in face of renewable energy demand making informed trading decisions with multi criteria decision making model
topic wood pellet
international market
biofuel trade
critic
aras
url https://hrcak.srce.hr/file/476567
work_keys_str_mv AT bilgenakmermer analyzinggrowingwoodpelletmarketsinfaceofrenewableenergydemandmakinginformedtradingdecisionswithmulticriteriadecisionmakingmodel
AT pelinsenturk analyzinggrowingwoodpelletmarketsinfaceofrenewableenergydemandmakinginformedtradingdecisionswithmulticriteriadecisionmakingmodel