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.

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Topic: #Supply Chain (clear)

Showing 101–120 of 227 papers

Peer-reviewed🇨🇳 ChinaJournalJournal of Environmental Management2026#Supply ChainDOI

Carbon risk and corporate supply chain resilience

Tingwei Luo, Fubi Luo, Min Liao

This study investigates how carbon risk affects corporate supply chain resilience. It analyzes how firms adapt to increasing vulnerabilities from climate-related regulations and market pressures.

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Peer-reviewed🇨🇳 ChinaJournaliScience2026#Supply ChainDOI

Environmental disclosure and supply chain carbon leakage

Mengjie Li, Weijian Du

This study empirically examines how environmental disclosure by listed companies affects carbon emissions in the supply chain. It finds that disclosure increases, rather than reduces, total supply chain emissions, revealing hidden carbon le…

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Peer-reviewedJournalWukari International Studies Journal2026#Supply ChainDOI

FinTech-Enabled Pathways for Achieving Carbon Neutrality in Global Supply Chains: Integrating Blockchain, Artificial Intelligence, and Green Finance for Systemic Sustainability

Abdulrasaq Mustapha

This study conceptually outlines seven pathways through which fintech (blockchain, AI, digital finance) enables carbon neutrality in global supply chains: financial access, real-time monitoring, innovation-driven adoption, policy alignment,…

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Peer-reviewedCNJournalInternational journal of research and innovation in social science2026#Supply ChainDOI

Data Elements Driving Supply Chain Resilience Enhancement in Cross-Border E-Commerce Enterprises: A Dual Perspective of Digital Platform Empowerment and Data Governance

Shuang Jiang

This paper empirically examines how data elements enhance supply chain resilience in Chinese cross-border e-commerce firms. It finds that digital platform empowerment and data governance quality serve as partial mediators, with environmenta…

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Peer-reviewed🌍 GlobalJournalmLAC Journal for Arts, Commerce and Sciences (m-JACS) ISSN: 2584-19202026#Supply ChainDOI

DIGITAL AGRI-FINANCE AND SUSTAINABLE TRADE: CONCEPTUALIZING FPO ACCESS TO AGRI-DERIVATIVES AND ORGANIC CERTIFICATION MARKETS

Siddalingaswamy M G, Shifa Fathima A, Safeer Pasha M

This conceptual study explores how digital agri-finance can enhance Farmer Producer Organizations' (FPOs) access to agri-derivatives and organic certification markets. It proposes a framework integrating digital tools (e-wallets, agri-finte…

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Peer-reviewedJournalAmerican Journal of Innovation in Science and Engineering2026#Supply ChainDOI

Integrated Inventory Model for Multi Item under Price - Sensitive Demand with Controllable Lead Time and Greenhouse Gas Emission Effect on Production andTransportation

Neetu Rawat, Rakesh Pandey

This paper proposes an integrated inventory model for a supply chain where a single vendor supplies multiple items to multiple buyers. It incorporates greenhouse gas (GHG) emission costs in production and transportation, considers controlla…

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Peer-reviewedJournalProcess Integration and Optimization for Sustainability2026#Supply ChainDOI

A Multi-Item Partial Backordering and Lost Sales Economic Order Quantity Model with Cross-Selling Correlated Demand Considering Budget and Greenhouse Gas Emission Constraints

Soheili A.

This study proposes a multi-item economic order quantity model that incorporates cross-selling correlated demand, partial backordering, and lost sales under budget and greenhouse gas emission constraints. It aims to optimize inventory decis…

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