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.
Peer-reviewed🌍 GlobalJournalTechnological and Economic Development of Economy2026#Supply ChainDOI
Driving net-zero and resilient supply chains through industry 5.0: a strategic pathway for sustainable economic development
Akshay Patidar, S. Bhatnagar, Anil Kumar +3
This study analyzes Industry 5.0 (I5.0) practices enabling net-zero and resilient supply chains using a three-phase framework: literature review, Interpretive Structural Modeling (ISM), and DEMATEL. Key practices include ESG compliance, Lif…
Peer-reviewedJournalSystems2026#Supply ChainDOI
Risk-Informed Data Analytics for Sustainable Pharmaceutical Supply: A Governance Framework for Public Oncology Hospitals
Fernando Rojas, E. Castro
This study proposes a data-driven governance framework for sustainable pharmaceutical inventory in a Chilean public oncology hospital. By integrating ABC-XYZ segmentation and a risk-informed continuous-review policy, it reduces stockouts by…
Peer-reviewedJournalFrontiers of Physics2026#Supply ChainDOI
The signal strategy in low-carbon supply chains
Shanshan Xie, Jiamuyan Xie
This paper analyzes signaling strategies in low-carbon supply chains under demand information asymmetry using a dynamic game model. It finds that manufacturers must distort output and carbon reduction downward to signal low demand, and that…
Peer-reviewed🌍 GlobalJournalABAC Journal2026#Supply ChainDOI
Sustainability in the global MICE/business events industry – the current state, and the road ahead
Edward Koh
This paper provides an overview of the global MICE (Meetings, Incentives, Conferences, Exhibitions) and business events industry's sustainability efforts. It identifies the 'dirtiest' components in the supply chain (F&B, accommodation, stan…
Peer-reviewedJournalSocial Science Research Network2026#Supply ChainDOI
Prioritizing the Factors Leading to Carbon Footprint Neutrality in Indian Logistics Operation Toward Net-Zero Emission: An AHP Approach
M. K K, Sameer Shekhar, S. Khan +1
This study uses the Analytic Hierarchy Process (AHP) to prioritize factors for carbon footprint neutrality in Indian logistics operations. It identifies five main criteria (operational efficiency, resource utilization, infrastructure effici…
Peer-reviewedJournalInternational Journal of Analysis and Applications2026#Supply ChainDOI
Modeling Dual-Uncertainty In Sustainable Supplier Selection Using Bipolar Complex Pythagorean Fuzzy Sets
M. Arar, Hariwan Z. Ibrahim
This study proposes a decision-making framework based on bipolar complex Pythagorean fuzzy sets (BCPFSs) to handle conflicting criteria, uncertainty, and dual evaluations in sustainable supplier selection. A case study on green supply chain…
Peer-reviewedCNJournalSustainability2026#Supply ChainDOI
Research on the Forecasting of Strategic Mineral Resource Scrap and Gap Rate of Electric Vehicles Based on a Life Cycle Perspective
Yuzheng Gao, Jing An, Yijie Zhang +1
This study forecasts the scrap and recovery volumes of strategic mineral resources in lithium-ion batteries and charging infrastructure for China's passenger EVs from a life cycle perspective (2010–2050). Six scenarios analyze 20 metallic a…
Peer-reviewedJournalBuilding Engineering2026#Supply ChainDOI
Decarbonizing precast concrete building components: Cradle-to-site carbon modeling and optimization, explainable machine learning, and a transportation efficiency index
Peyman Naghipour, Afshin Naghipour, Tarana Bakirova +3
This paper presents a cradle-to-site carbon modeling framework for precast concrete components, integrating machine learning and explainable AI to predict emissions from production, transportation, and installation. Using data from a large …
Peer-reviewed🌍 GlobalJournalFrontiers in Sustainable Food Systems2026#Supply ChainDOI
Generative AI-enabled adaptive material reintegration framework for proactive circular economy waste reclamation in food industrial ecosystems
Rasha M. Abd El-Aziz, Wael Z. El‐sayad, David Neels Ponkumar Devadhas +2
This study proposes a proactive AI framework integrating TG-CVAE, PRL layer, and TG-RDPSO for food waste reclamation, addressing temporal variability and multi-objective optimization. Experiments on the Global Food Wastage Dataset show 10-1…
Peer-reviewedJournalJournal of Modelling in Management2026#Supply ChainDOI
Decision model for green supplier selection in new energy vehicles combining prospect theory and VIKOR
Hui Zhao, Xueshi Zhang
This study develops and validates an integrated model combining Prospect Theory and VIKOR for green supplier selection in new energy vehicle firms. It constructs a four-dimension evaluation system (enterprise capability, product competitive…
Preprint🌍 GlobalCrossref2025#Supply ChainDOI
Probabilistic, Measurement-Informed Greenhouse Gas Emissions from Global Liquefied Natural Gas Supply Chains Reveal Wide Country-Level Variation
Haoming Ma, Yuanrui Zhu, Wennan Long +6
This paper develops a probabilistic, geospatial, and measurement-informed life cycle assessment model covering over 90% of global LNG trade to estimate GHG emissions intensity (EI) of supply chains. It finds a ~5x range in EI from 8.6 g CO2…
Peer-reviewed🌍 GlobalJournalJournal of Environmental & Earth Sciences2026#Supply ChainDOI
From Mining to Mobility: Evaluating Environmental Challenges across the Critical Materials Supply Chain for New Energy Vehicles
Wei Hu
This review comprehensively evaluates environmental challenges across the critical materials supply chain for new energy vehicles, from mining to end-of-life. It highlights regional heterogeneity and the risk of shifting burdens beyond carb…
Peer-reviewed🌍 GlobalJournalJournal of Environmental Management2026#Supply ChainDOI
Enabling recycling of critical metals for electric vehicles.
Shanta Dutta, Kang Liu, Mengmeng Wang +6
This review examines policy landscapes, regulatory mechanisms, and technological perspectives on recycling critical metals for EVs. It highlights regional disparities in Extended Producer Responsibility (EPR) policies and challenges due to …
🇺🇸 USAConferenceProceedings of the 2026 REMADE® Circular Economy Technology Summit & Conference2026#Supply ChainDOI
Single-Alloy Resealable Beverage Can
Daniel A. Zabaleta, C. Hayes, Jeffrey Grajewski
CanReseal by Canovation is the first all-metal resealable can made from a single aluminum alloy, eliminating the need for separate pull-tab ends. This innovation enables cans to be produced from 100% recycled content, boosting recycling eff…
Peer-reviewed🌍 GlobalJournalMathematics2026#Supply ChainDOI
Dual-Leverage Effects of Embeddedness and Emission Costs on ESCO Financing: Engineering-Driven Design and Dynamic Decision-Making in Low-Carbon Supply Chains
Liurui Deng, Lingling Jiang, S. Gan
This study analyzes the impact of ESCO financing modes (bank, green bond, internal factoring) on supply chain emission reduction efficiency and economic benefits under carbon quota trading and EPC. Using a multi-agent Stackelberg game model…
Peer-reviewed🌍 GlobalJournalSystems2026#Supply ChainDOI
Operational Resilience Under Carbon Constraints: A Socio-Technical Multi-Agentic Approach to Global Supply Chains
Rashanjot Kaur, Triparna Kundu, Bhanu Sharma +2
This paper examines operational resilience of global supply chains under carbon constraints. It develops a multi-agent framework integrating supply chain decisions, national energy-transition profiles, and carbon-aware AI computation. The C…
Peer-reviewedJournalFrontiers in Public Health2026#Supply ChainDOI
From carbon policy to public health: an analysis of pricing decisions in electronics supply chains for costing emissions reduction
Tianhui Sun, Na Huang, Wanjun Jiang
This study models a closed-loop electronics supply chain under carbon trading, incorporating a 'unit health damage cost' to examine the dual effects of internalizing health costs. It finds an inverted U-shaped relationship between carbon pr…