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Integrating green tax, green logistics, green climate finance, green technology, and sustainability for a green economy: SEM-ANN approaches

グリーン税、グリーン物流、グリーン気候金融、グリーン技術、持続可能性を統合したグリーン経済:SEM-ANNアプローチ (AI 翻訳)

Md. Mominur Rahman, Md. Emran Hossain

Sustainable Futuresプレプリント2025-06-01#green_economy
DOI: 10.1016/j.sftr.2025.100795
原典: https://doi.org/10.1016/j.sftr.2025.100795

🤖 gxceed AI 要約

日本語

本研究は、グリーン税、グリーン物流、グリーン気候金融、グリーン技術、環境持続可能性がグリーン経済に与える影響を統合的に分析。バングラデシュの製造業管理者423名のデータを用い、SEMとANNを適用。SEMでは全ての要因が正の影響を与え、ANNではグリーン物流が最重要因子と判明。政策立案への示唆を提供。

English

This study develops an integrated model examining the relationships between green tax, green logistics, green climate finance, green technology, and environmental sustainability on the green economy. Using SEM and ANN on survey data from 423 managers in Bangladesh's manufacturing sector, it finds all factors positively impact the green economy, with green logistics ranked most critical. Offers policy insights for fostering a green economy.

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

日本のGX政策(グリーン成長戦略、GXリーグ)においても、税制・物流・金融・技術の統合的アプローチは重要。ただしバングラデシュのデータに基づくため、日本への直接適用には慎重な検討が必要。

In the global GX context

This paper contributes to global GX discourse by empirically testing an integrated framework of green economy drivers. The use of ANN to rank factors provides methodological novelty. However, findings are context-specific to Bangladesh's manufacturing sector, limiting generalizability to developed economies.

👥 読者別の含意

🔬研究者:Provides an integrated model and ranking of green economy factors using SEM-ANN, useful for future cross-country comparative studies.

🏢実務担当者:Highlights green logistics as the most critical factor, guiding corporate sustainability strategy in manufacturing.

🏛政策担当者:Offers evidence-based prioritization of green policies, especially green logistics and tax, for fostering a green economy.

📄 Abstract(原文)

The transition towards a green economy is crucial for sustainable development, yet existing research often examines key elements such as green tax, green logistics, green climate finance, green technology, and environmental sustainability in isolation. This fragmented approach fails to capture the interconnectedness and comprehensive impact of these factors. Thus, this study aims to address this gap by developing an integrated model to explore the relationships between these green factors and their collective influence on the green economy. Additionally, it investigates the mediating roles of green technology and sustainability in the green economy. Data were randomly collected from 423 managerial-level individuals across various manufacturing industries in Bangladesh through independent online surveys. “Structural Equation Modeling (SEM) was used to test direct and mediating relationships, while Artificial Neural Network (ANN) was employed to rank the factors based on their impact on the green economy. The SEM analysis revealed that green tax, green logistics, green climate finance, green technology, and environmental sustainability all positively and significantly impact the green economy. Furthermore, environmental sustainability was found to mediate the relationship between green climate finance and the green economy. ANN analysis ranked green logistics as the most critical factor, followed by green tax, environmental sustainability, green technology, and green climate finance. The findings offer valuable insights for policymakers, managers, and practitioners by highlighting the importance of an integrated approach to fostering a green economy for sustainable development. Policymakers can leverage these insights to develop comprehensive strategies that optimize resource allocation and prioritize interventions based on the ranked importance of green factors.

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