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 841–860 of 37113 papers
Khalid El Haisse, L. El Youssfi, H. Mastouri
A critical review comparing African and European evidence to assess agricultural decarbonization pathways and their transferability to Morocco. National inventory data show 18.51 Mt CO2e agricultural emissions in 2022, with enteric fermenta…
Loso Judijanto
This review synthesizes 59 studies (2020–2026) plus a Central Kalimantan field case to assess what evidence is needed to distinguish carbon storage from a verifiable net atmospheric sink in oil-palm systems. It identifies six themes—pool co…
Imran Khan, Mohd. Razaullah Khan
This study examines how the three dominant carbon accounting frameworks—the GHG Protocol, ISO 14064, and IPCC Guidelines—align with international climate agreements like the Paris Agreement. With global emissions hitting a record 53.2 GtCO2…
Gandi Iswara, S. Silviana, Widayat Widayat
This study assesses whether green hydrogen can realistically power nickel smelters on Obi Island, Indonesia, replacing 2.3 GW of captive coal. Meeting 15.1 TWh/yr at 55% hydrogen-fired efficiency requires ~0.82 Mt of hydrogen and ~45–52 TWh…
Jordana W. Composto, Sofía Silvosa, Anandita Sabherwal +1
This multidisciplinary review examines how political trust—trust between actors with unequal power—shapes energy transition outcomes. Drawing on a narrative literature review, fifteen case studies, stakeholder surveys, and expert workshops,…
Yusuf Berkay Metinal, Gülden Gümüşburun Ayalp
A bibliometric study of 284 Web of Science papers (2000-2026) on green procurement in construction, analyzed with VOSviewer co-occurrence and overlay methods. It identifies five thematic domains—foundational procurement, institutional gover…
Aloke Soumya Saborna, Rahul Rohit, Mst. Aysha Akter
A 30-item CER Disclosure Index applied to 170 Bangladeshi garment-belt manufacturers (714 firm-years) yields a pooled score of 35.5/100, with emissions accounting the weakest domain and no assurance obtained. The nominal 18.9% fall in emiss…
Jiaming He, Qinliang Tan, Yihong Ding
A distributionally robust optimization approach to configuring climate-resilient active distribution networks. It aims to enhance flexibility and dispatchability under high renewable penetration. Details are limited as no abstract was provi…
Guozheng Liu, La Xiang, Congbiao Sui +1
This study examines how carbon taxes, fuel prices, and onshore-power (shore electricity) prices shape cruise-ship operational performance. It quantifies how carbon pricing and fuel costs affect operating economics and decisions in cruise sh…
Yang Zhao
A hybrid framework combining improved bald eagle search-optimized VMD decomposition with CNN-BiLSTM and attention mechanisms is proposed to forecast carbon market volatility. Using EU ETS data, it cuts MAE by 71% and RMSE by 70% versus opti…
Ouyang Mutian, J. Joshua Thomas, Ugo Fiore +3
This study proposes a Decomposition-Representation-Integration (DRI) framework combining CEEMDAN, a causal masked Transformer, and XGBoost to forecast volatile, non-stationary carbon prices. Under a strictly causal walk-forward protocol it …
Lingli Qing, Xiang Ma, Eun‐Young Nam +1
Using China's Green Finance Pilot Zone policy as a quasi-natural experiment, this study applies a staggered difference-in-differences design to panel data from 3,845 listed firms (2010–2023). Green finance policy significantly mitigates cor…
Xiaolu Guo, Zihao Huang, Chunxiang Qian +8
An LCA of three Chinese cement production lines (2021–2025) evaluated alternative raw materials/fuels, co-processing of heavy-metal-contaminated soil, and municipal solid waste as fuel under a harmonized framework. Integrated environmental …
Chinmay Bhat
Scope 3 dominates industrial GHG inventories but supplier data quality is rarely assessed operationally. This paper develops a five-stage Supplier Data Quality and Engagement Framework combining a five-dimension pedigree score, primary-data…
Adekunle R. Onaolapo, S. O. RAHMON-TAJUDEEN
Panel regression on 10 listed Nigerian consumer-goods manufacturers (2011–2025 audited reports) tests whether sustainability reporting affects ROA. Environmental (p=0.0005), social (p=0.0002) and economic (p=0.0003) reporting are all signif…
Shivani Naik, Sarvottam Rege
This study applies a reproducible toolkit—word-frequency and keyword-in-context analysis, readability scoring, numeric-density and assurance-language checks, year-on-year cross-tabulation—to environmental disclosures from ten oil, gas, and …
Ivneet Kaur Walia, Aastha Tiwari, Aastha Tiwari
This chapter examines how AI is reshaping materiality assessment in sustainability reporting. AI can surface patterns, risks and impacts missed by conventional review, helping detect selective disclosure and greenwashing, while raising conc…
Bonface Ochieng Musina, Rashid Simiyu Fwamba, Arnety Nangila
This study examines whether environmental liability disclosure (asset restoration, pollution clean-up, fines) drives sustainability reporting quality among Kenya's seven listed agricultural firms over 2015–2024. Panel regression finds a neg…
A Binita Singha, Moonmoon Kalita, Biju Mani Das
This study applies machine learning to measure sentiment in ESG disclosures of 15 Nifty 50 firms and links it to financial performance. Most disclosures (56.3%) carry negative tone, highest in social (61.1%), and sentiment scores strongly p…
Tran Thi Thanh Thu, Tran Phuoc, Hong Diep Bui
Using panel data from 303 Vietnamese non-financial listed firms (2017–2024) and System GMM, the study examines how earnings management (EM) affects financial performance, moderated by corporate governance (CG) and ESG disclosure. EM is bett…
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