GX Research Hub · English

GX & Decarbonization Research

This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open scholarly metadata sources and uses AI-assisted classification to identify signals related to measurement, policy narratives, outcomes, implementation, industrial adoption, and verification.

The goal is not only to discover papers, but to observe how GX research is distributed across research substance, implementation narratives, external expectations, implementation substance, and judgment formation.

Summaries are AI-assisted. Always refer to the original paper for authoritative conclusions.

📊 SNE Research Profile →🔬 Researcher API →About gxceed →🇯🇵 日本語版
Shelf:All Papers🇯🇵→🌍 Japan-to-Global🌍→🇯🇵 Global-to-JapanCurated
Sort:NewestRelevanceMost Viewed
Topic: #Supply Chain (clear)

Showing 181–200 of 277 papers

Peer-reviewed🇨🇳 ChinaJournalSustainable Futures2026#Supply ChainDOI

ESG-driven supply chains: A path to energy transition

Yishuang Liu, Xiujie Tan

Using matched supplier-customer data for Chinese A-share manufacturing firms (2009-2021), this study examines whether corporate ESG performance promotes green innovation within firms and across supply chains. It finds that downstream ESG pe…

Read more →
Peer-reviewed🇨🇳 ChinaJournalSustainability2026#Supply ChainDOI

Sustainable Design of a Dual-Use Underground Logistics Network for Routine Low-Carbon Goods Delivery and Urban Emergency Supply Under Uncertainty: A Hybrid Optimization-Simulation Approach

Baoquan Li, Wang Yang, An Shi +5

This study proposes a dual-use underground logistics system (DULS) framework combining robust layout optimization with simulation. Using a Wasserstein-based distributionally robust optimization and AnyLogic discrete-event simulation, the ca…

Read more →
Peer-reviewed🌍 GlobalJournalAdvances in Economics, Management and Political Sciences2026#Supply ChainDOI

From ESG Finance to Supply Chain Governability: Mechanistic Barriers and Corrective Pathways in Sustainable Corporate Supply Chains

Wenduan Zhao

This article examines why ESG finance fails to translate into effective supply-chain governance. It analyzes four issues: information identification, financing incentives, green innovation absorption, and transmission across multi-tier chai…

Read more →
Peer-reviewed🇨🇳 ChinaJournalSystems2026#Supply ChainDOI

Incentive Mechanism Design in a Low-Carbon Service Supply Chain Under Dual Information Asymmetry: Consumer Heterogeneity, Information Perception, and Dynamic Trust

Yuehua Chen, Yunfei Shao

This study models a low-carbon service supply chain with dual information asymmetry: hidden capability before contracting and hidden effort after. Using a principal-agent framework, it shows that menu contracts can screen providers and ince…

Read more →
Peer-reviewed🇯🇵→🌍 Japan-to-Global🇯🇵 JapanJournalJ-STAGE#Supply ChainDOI

Survey on Decarbonization Efforts in the Industrial Sector: The Role and Challenges of Supply Chain Engagement

産業部門の脱炭素化取組に関する調査:サプライチェーンを通じた働きかけの役割と課題

(著者不明)

This survey examines the role and challenges of supply chain engagement in industrial decarbonization. It analyzes the importance of collaboration and information sharing among firms, as well as barriers to effective supply chain decarboniz…

Read more →
Peer-reviewed🇨🇳 ChinaJournalEnvironmental Science & Technology2026#Supply ChainDOI

City-Level Nexus of Embodied Waste Carbon in China

Wen Fang, Xiaoyu Wang, Lei Ye +8

This study provides a novel city-level assessment of the coupling coordination between waste and carbon emissions in China. Megalopolises outsource waste and carbon but maintain high coordination. Consumption-based coordination is 20.4-68.8…

Read more →
🌍 GlobalJournalAdvances in computational intelligence and robotics book series2026#Supply ChainDOI

Economic Signals and Artificial Intelligence for Sustainable Transport and Low-Carbon Logistics Systems

Turdiev Abdullo Sagdullaevich, S. Aarthi, R. N. Ravikumar +2

This chapter proposes a framework combining economic indicators and AI to decarbonize transport and logistics. Based on case studies, it shows that AI optimization paired with emissions-based pricing and incentives can enhance supply chain …

Read more →
← Prev10 / 14Next →

Browse by Topic

#Scope 3#Scope 1/2#Carbon Pricing#Renewable Energy#Policy#TCFD#SBT/SBTi#CDP#CCUS#Hydrogen#Climate Finance#Climate Science#EV & Transport#Energy Transition#ESG#Transition Finance#Greenwashing#Climate Risk#Biodiversity#Carbon Accounting#Disclosure Infrastructure#Energy Efficiency#Supply Chain#AI × ESG#Other