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.
Showing 181–200 of 283 papers
Yujia Zhao, Xinyi Chen, Jing SHUAI +2
This paper evaluates how China's copper supply chain can meet increased demand from renewable energy transition using scenario analysis. It identifies supply risks and policy implications.
Juan Tan, Xin Ouyang, Shuangjiao Xue +5
This paper analyzes how the surging demand for energy storage systems intensifies lithium supply challenges, highlighting a critical bottleneck for the green transition.
Yongguang Zhu, Jinning Zhu, Xiaoyang Lin +5
This paper introduces a framework using machine learning to evaluate ESG-driven conflict risks in the supply of critical minerals for the energy transition. Analyzing 112,766 conflict events, it finds high risks in the Middle East, North Af…
Anupama Prashar, Naman Agarwal
This study examines how sustainability-related supplier opportunism (active vs. passive) affects buyer responses, using a behavioral lens. Through two experiments, it finds that active opportunism is perceived as more severe and reduces buy…
David Tobón Orozco, Jose Pla‐Barber
This study examines how stakeholder engagement influences voluntary climate action commitments (CACs) using data from 98 Colombian firms. Decarbonization insourcing (DIN) directly boosts CAC and positively moderates the effect of stakeholde…
Yao Luo, Shuna Wang, Wei Xiao
Examines incentive contract design with endogenous information acquisition in low-carbon supply chains. Analyzes optimal contracts to promote emission reductions under information asymmetry.
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…
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…
Dong Guo, Wei Yet Tan
This study uses structural equation modeling to examine how five sustainable supply chain practices (green procurement, production, logistics, collaboration, and information sharing) affect perceived low-carbon development efficiency in man…
Tong X.
This paper examines how circular economy strategies can reduce GHG emissions in China's automobile manufacturing. It analyzes specific measures such as using recycled materials and waste reduction, quantifying emission reduction potentials.…
An Thi Binh Duong, Vu Minh Ngo, Hung Nguyen +3
This study investigates how Smart Food Safety Management Systems (SFSMS) can be leveraged as enterprise information systems to achieve carbon neutrality and economic performance in the food industry. Based on a survey of 269 food enterprise…
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…
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…
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