粤港澳大湾区におけるコールドチェーン物流の低炭素効率の評価とメカニズム分析
Assessment and Mechanism Analysis of Low Carbon Efficiency in Cold Chain Logistics in the Guangdong-Hong Kong-Macao Greater Bay Area (原題)
Lian-Ying Xiao, Guo-Qing Wang, Wen-Hua Chen, Muhammad Shabir Shaharudina
🤖 gxceed AI 要約
日本語
粤港澳大湾区のコールドチェーン物流を対象に、炭素排出を非望ま出力とする3段階DEAで低炭素効率を測定した研究。環境要因と統計ノイズを調整した上で管理効率を再推定し、資本・労働・技術・エネルギー投入が低炭素効率に及ぼすメカニズムを資源ベース理論等でモデル化する。技術高度化、輸送・施設最適化、政策支援が経済産出と排出性能の両立に重要と示す。
English
This study measures the low-carbon efficiency of cold chain logistics in the Greater Bay Area using a three-stage DEA that treats carbon emissions as an undesirable output, adjusting for environmental factors and statistical noise before re-estimating managerial efficiency. It models how capital, labor, technical and energy inputs shape performance via mediators and moderators. Findings stress technology upgrading, route/facility optimization and policy support for balancing economic output and 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
中国の地域物流を対象とした実証で、日本のSSBJ・有報開示に直接の接点は薄いが、Scope 3上流・物流排出の効率評価手法として日本企業のサプライチェーン排出管理に参考となる。
In the global GX context
Adds regional empirical evidence on logistics decarbonization efficiency to the global disclosure agenda, where Scope 3 transport emissions remain a hard-to-abate category for CSRD and ISSB reporting entities.
👥 読者別の含意
🏢実務担当者:物流・コールドチェーンの排出効率改善とScope 3上流排出管理の着眼点を得られる。
🏛政策担当者:冷蔵・冷凍輸送インフラの容量ギャップと規制インセンティブ設計の示唆。
📄 Abstract（原文）
Cold chain logistics is essential for supplying fresh food, pharmaceuticals, and other temperature sensitive goods in the Guangdong–Hong Kong–Macao Greater Bay Area (GBA), but its heavy reliance on refrigeration and road transport makes it energy intensive and carbon emissions intensive. This study evaluates the low carbon efficiency of cold chain logistics in the GBA and examines the mechanisms through which internal resource inputs and external conditions shape performance. We construct an efficiency assessment framework that treats carbon emissions as an undesirable output and applies a three stage Data Envelopment Analysis (DEA): (i) initial efficiency measurement; (ii) adjustment for environmental factors and statistical noise using economic development, government support, and market environment variables; and (iii) a re estimation of managerial (intrinsic) efficiency. Building on Resource Based Theory, Stakeholder Theory, and Ecological Modernization Theory, we further propose a mechanism model linking capital, labor, technical investment, and energy inputs to low carbon efficiency, with generalized total factor productivity and energy structure as mediators and external conditions as moderators. Preliminary evidence highlights the importance of technological upgrading, route and facility optimization, and policy support in improving both economic output and emissions performance. The findings provide actionable implications for targeting green technology adoption, strengthening regulatory incentives, and addressing cold storage and refrigerated transport capacity gaps to support high quality, low carbon logistics development in the GBA.
🔗 Provenance — このレコードを発見したソース
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