Green Transportation Acceptance and Carbon Footprint Reduction in Supply Chain Logistics
サプライチェーン物流におけるグリーン交通の受容とカーボンフットプリント削減 (AI 翻訳)
M. Mukhtar, Nurul Anisah Mohd Jamaludin, Sayed Kushairi Sayed Nordin
🤖 gxceed AI 要約
日本語
本論文は、マレーシアの物流労働者の交通関連カーボンフットプリントに影響を与える要因を、計画行動理論に基づき調査した。意識と交通習慣が有意な予測因子であり、グリーン交通の受容は独立した影響を持たなかった。結果は、教育キャンペーンとインフラ投資による行動変容の必要性を示唆している。
English
This study investigates factors influencing transportation-related carbon footprint among logistics workers in Malaysia using the Theory of Planned Behaviour. Awareness and transportation habits significantly predict carbon footprint, while green transportation acceptance does not. Results highlight the need for targeted education and infrastructure investment to reduce supply chain emissions.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
本論文はマレーシアを対象としているが、物流労働者の行動変容に関する知見は日本のグリーン物流政策（グリーン物流パートナーシップ会議など）にも示唆を与える。特にカーボンフットプリント意識と習慣の影響は、日本の企業が従業員の行動変容を促す施策を検討する際の参考となる。
In the global GX context
This study adds behavioral evidence from a developing country context, where infrastructure and awareness levels differ from OECD countries. It underscores that carbon footprint reduction in logistics requires not only technology but also behavioral change — a dimension often overlooked in climate disclosure frameworks like TCFD or ISSB.
👥 読者別の含意
🔬研究者:Researchers can use this as a reference for behavioral studies on supply chain carbon reduction in developing countries.
🏢実務担当者:Logistics managers can target awareness campaigns and habit change to reduce emissions.
🏛政策担当者:Policymakers in developing countries can design interventions that address awareness and infrastructure.
📄 Abstract（原文）
Road transport is one of the largest contributors to greenhouse gas (GHG) emissions in modern supply chains, yet surprisingly little is known about why individual logistics workers respond to their carbon footprint the way they do especially in Malaysia. This study explores how three factors which are awareness of carbon footprint, transportation habits, and perception and acceptance of green transportation in shaping the transportation-related carbon footprint among road transport users in Pulau Pinang, Malaysia. Drawing on the Theory of Planned Behaviour (TPB), the study adopted a quantitative cross-sectional design. Data were gathered from 108 respondents using a structured five-point Likert-scale questionnaire and analysed through descriptive statistics, Pearson correlation, and multiple linear regression in IBM SPSS Statistics. All constructs showed good internal reliability (Cronbach’s α = 0.773–0.864). Correlation results showed that awareness of carbon footprint (r = 0.565, p < 0.001) and transportation habits (r = 0.516, p < 0.001) had moderate positive relationships with carbon footprint, while green transportation acceptance showed a weaker but significant link (r = 0.229, p = 0.015). Regression analysis identified awareness (β = 0.413, p < 0.001) and transportation habits (β = 0.300, p = 0.003) as the two significant predictors, together explaining 37.2% of the variance (R² = 0.372, F(3, 104) = 21.565, p < 0.001). Green transportation acceptance did not independently predict carbon footprint (β = −0.047, p = 0.598) once the other variables were accounted for. These results highlight how deeply awareness and ingrained travel behaviour influence the carbon footprint of logistics workers, and point to practical steps — including targeted education campaigns and infrastructure investment — that policymakers and logistics managers can take to reduce supply chain emissions in Malaysia.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.47772/ijriss.2026.100500283first seen 2026-06-04 05:04:39
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