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 521–540 of 11904 papers
Agraj Magotra, Md. Rafiqul Islam Rana, F. S. Shishir +1
This paper proposes a machine learning and NLP pipeline for analyzing ESG and sustainability disclosures in the textile and apparel industry, applicable to supply chain disclosure analysis.
Promise Nkak (Ph.D.), Eyo Ekpe (Ph.D.)
Using panel data of 8 Nigerian listed firms (2019-2024), this study examines the impact of ESG disclosure on operational performance. Environmental and governance reporting show positive but insignificant effects; social reporting shows neg…
Jamie M. Reedy, Richard M. Mariita, Hyrine G. Munga +1
This review evaluates the imperative for sustainable biomanufacturing pathways to enhance global health security, analyzing platforms from mammalian cells to plant-based and cell-free systems against the Triple Bottom Line. It highlights AI…
Seung-Hyun Cho
This paper examines how intergenerational equity moves from treaty language to domestic climate policy. It derives a legal benchmark and tests it against five cases: EU CBAM, Germany's carbon-budget, South Korea's constitutional ruling, Can…
Cheng Zhong, Jin Yin, Saifuzzaman Ibrahim +2
This paper examines how industrial agglomeration influences green total factor productivity through spatial spillovers, mediating mechanisms, and moderating effects. It empirically investigates the role of geographic concentration in enhanc…
Thi-Kien Dao, Trong-The Nguyen
This paper proposes CASO, a framework for carbon-aware VM placement integrating adaptive RBF surrogate model with self-adaptive PSO-DE swarm optimizer. It minimizes carbon emissions, energy, SLA violations, and latency simultaneously under …
Zhijun Wu, Yunfei Mu, Haochen Guo +3
This paper proposes a multi-objective optimization method for park-level integrated energy systems (PIES) that combines carbon intensity (CI) incentives with energy price signals. It introduces a carbon–energy synergistic hub model to captu…
Weisi Zhang, Jiahao Kong, Wei Zhao +1
This study analyzes carbon reduction and green advertising decisions in supply chains under cap-and-trade. Higher carbon prices generally increase emission reduction efforts, but above a threshold, further increases can reduce incentives. T…
Shahmir Butt, Nabeel Anjum, Shahid Mahmood
This study surveys 160 Pakistani airline passengers to examine their willingness to pay for sustainable aviation. Results show that sustainability awareness positively influences willingness to pay, but affordability remains a key barrier. …
Nur Shardatul Hajjar Kamarudzaman, P. Liew, A. A. Azmi +1
This paper proposes a centralised multi-energy P2P trading model integrating thermal and electrical energy for eco-industrial parks, using cooperative game theory and ADMM optimization. A case study of three Malaysian industrial players dem…
Shahzad Ashraf
This paper proposes an integrated framework combining Green Supply Chain Management (GSCM) with digital transformation (IoT, cloud, big data, automation). Through case evidence, it shows that digitalization enhances environmental monitoring…
Shanxin Mao, Yeting Li
This study examines downstream customer climate pressure on suppliers' green supply-chain management and value-chain carbon disclosure among Chinese listed firms. It constructs an exposure-weighted customer pressure measure and decomposes i…
Weicheng Zhou, Tong Jiang, Ping Lu +2
This paper evaluates the thermal performance and life cycle assessment of phase change materials (PCMs) based on coal fly ash. It demonstrates effective utilization of waste material and improved energy storage efficiency, with potential ap…
Jing Han, Zhe Zhou, Zhaolong Ge +2
This study investigates how CO2 phase state (supercritical, gas, etc.) controls water displacement at multiple scales in deep bituminous coal, contributing to the evaluation of CO2 storage efficiency and security in coal seams.
Ziru Tang, Zenglian Zhang, Zhiyuan Dong +1
This study empirically examines the impact of China's ultra-high voltage (UHV) transmission network on energy transition and supply chain resilience, highlighting the role of networked power infrastructure.
Bingbing Jiang, Zhang Chen, Yiyun Fu +1
This study reveals that summer extreme heat events in the Sichuan-Chongqing region exhibit asymmetric and hysteretic responses to CO2 removal. Even after CO2 returns to initial levels, positive temperature anomalies persist due to slow ocea…
Tadesse Tolera, Xiuguang Bai
This study uses micro-level data from 506 wheat-producing farmers in Ethiopia to show that adopting environmentally sustainable production technologies significantly enhances farmers' climate resilience, with integrated technologies providi…
Yuanqi Zhou, Mengjie Deng, Jie Yang +2
This paper explores the matching of technology and carbon price under macroeconomic uncertainty, analyzing how inclusive technology suites can reconfigure global mitigation cooperation.
Fengqian Chen, Xiaoyong Huang, Zhi Li +2
Using panel data from 163 Chinese cities (2006-2022), this study integrates XGBoost with SHAP and GTWR to examine the nonlinear and spatially heterogeneous effects of carbon emission efficiency (CEE) on the Climate Physical Risk Index (CPRI…
Baofeng Zhang, Jianjun Lu, Dakuan Qiao +1
This paper explores how to adapt supply chains to climate change through climate innovation from a socio-technical systems perspective. It provides a framework to enhance supply chain resilience and mitigate climate risks.
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