This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 14 contributing 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.
Showing 261–280 of 351 papers
Junhong Hu, Chen Li, Chenchen Li +2
This study develops a bi-objective route-choice model for multimodal freight transport that minimizes total cost, time, and carbon emission costs under uncertain demand and dynamic transshipment time. Using chance-constrained programming an…
Feiyin Wang, Wen-Kang Sui, Peng-Tao Wang +2
This study proposes a data-driven framework integrating LCA and GAN to optimize sustainable aviation fuel (SAF) supply chains. By generating and evaluating pathways with various feedstocks, refineries, airports, and transport modes, it find…
Grant T.
This paper assesses lifecycle GHG emissions from irrigated maize and explores reduction potentials across the value chain. It offers insights for agricultural emission reduction strategies.
Lambrecht N.J.
This paper demonstrates that limiting red meat availability in a university cafeteria reduced food-related greenhouse gas emissions by about one-third. It provides a practical case study showing how dietary changes can contribute to climate…
Villanova, Marcio
This paper addresses the supplier evidence gap for Brazilian companies under EU regulations (CSDDD, CBAM, EUDR). It argues that market access does not guarantee compliance and introduces a framework for building defensible evidence on origi…
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…
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…
Liang Zhang, Yuedi Xu, Xi Zhong
This study empirically investigates the impact of supply chain digitization on corporate carbon emissions using Chinese firm-level data. The findings demonstrate that digitization significantly reduces emissions, though the effect varies by…
Junhui Li, Yongguang Zhu, Shiquan Dou +7
This paper analyzes the dynamic complexity of critical mineral supply chains essential for energy transition, highlighting the paradox that supply constraints and geopolitical risks may hinder the deployment of clean energy technologies.
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…
Yiming Tong, Deheng Xiao
Using panel data on Chinese A-share listed firms from 2008 to 2024, this study finds that firms' climate risk attention (CRA) significantly promotes value chain upgrading (VCU). The effect operates through embedding into green R&D, green in…
Liwei Qu, Lianghui Li, Bochao An +1
This study develops an enhanced Ant Colony Optimization algorithm to identify optimal supply pathways minimizing transportation carbon emissions in global seaborne metallurgical coal trade. It achieves a 25% reduction in carbon intensity ag…
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 …
Jiawen Li, Xiaomin Xu, Shengzhong Huang +1
This paper develops a Stackelberg game model for supply chains with capital-constrained manufacturers facing bankruptcy risk under different carbon asset financing schemes. Using real data from China's cement industry, it finds that pledge …
Gang Yao, Pingfan Song, Zhi Liu +2
This study constructs a supply chain low-carbon awareness (LCA) index via text analysis and examines its impact on corporate carbon emissions and low-carbon behaviors. It finds that LCA significantly improves carbon reduction performance, e…
Ani Mekaniwati, Aang Munawar, B. Rainanto +1
This qualitative study explores how eco-innovation and sustainable supply chain management synergistically enhance circular economy implementation in Indonesian MSMEs. Through focus groups in West Java and Bengkulu, it identifies collaborat…
Hasan Tutar, C. Erden
This systematic review of 106 studies (2015-2025) analyzes how ESG factors and circular economy practices shape resilience in critical mineral supply chains. It proposes the Critical Minerals Integrated Sustainability Framework (CMISF) link…
Thuy-Hien Nguyen, Thuy-Hien Nguyen, Huong-Giang Thi Hoang +3
This paper proposes a data-driven decision support system for sustainable concrete procurement that navigates trade-offs between cost, carbon emissions, and performance using multi-objective optimization. It contributes to decarbonization i…
Mariem Mrad, M. Frikha, Y. Boujelbène +1
This study reviews 83 articles to analyze how AI and robotics can decarbonize supply chains. AI reduces transport emissions via routing optimization and load consolidation; robotics improves energy efficiency in warehousing. Barriers includ…
L. Judijanto
This systematic literature review identifies and classifies five dominant decarbonization pathways in oil palm plantations: methane mitigation, energy-efficiency improvements, biomass-based fuel substitution, landscape-level carbon sequestr…
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