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 381–400 of 1611 papers
Valens Uwizeyimana
This dissertation analyzes woody biomass consumption and associated emissions in Rwanda's Eastern Province using forest inventories, sensor-based household fuel monitoring, and the LEAP model for long-term forecasting. It finds that many di…
World Bank Group
The World Bank's Country Climate and Development Report (CCDR) for Burundi integrates climate change and development, identifying priority actions to reduce GHG emissions and enhance resilience. It assesses costs, benefits, and opportunitie…
Thong Hoang, Mykhailo V. Klymenko, Xiwei Xu +6
This paper introduces an agentic ESG lifecycle framework that integrates multiple AI agents to automate ESG reporting tasks such as information extraction, verification, and report updating. It transforms static ESG reporting into a dynamic…
Nils Erland L. Haugen, Axel Brandenburg, Ewa Karchniwy +5
This paper presents high-resolution LES of a catalyst-free reverse water gas shift reactor for e-SAF production. It shows that small O2 traces in CO2 significantly increase CO production via OH pool. The PaSR subgrid model performs well for…
Junior Management Science
This paper analyzes the impact of ESG regulations across the globe on corporate financial performance. It empirically examines how the presence and stringency of regulations affect ESG scores and stock prices, suggesting that regulation doe…
Veliota Drakopoulou
This study analyzes how ESG disclosure credibility affects retail investor flows in the Abu Dhabi Securities Exchange using a multilingual NLP framework with FinBERT and AraBERT. It constructs two indices (ESG_MKT and ESG_AI) for 125 firms …
null Raed Hameed Salih, null Ibrahim Khilel Khinger, null Hussam Rasool Ubaid +2
This study uses a mixed-methods approach (50 ESG reports, 25 legal cases) to analyze the impact of regulatory frameworks, ESG reporting standards, and judicial precedents on corporate environmental accountability. Results show judicial prec…
Lamb, William F., Low, Sean, Gordon, Leo Michael +1
Analyzing 2024 reports from 12 OGCI oil and gas firms, this study finds that while all maintain net-zero targets, their plans for scaling carbon dioxide removal (CDR) are vague and project-focused. Afforestation/reforestation as nature-base…
Yunlong Zhang, Markus Millinger, Fredrik Hedenus +2
Renewable liquid fuels are crucial for hard-to-electrify sectors like aviation and shipping. Using a European energy system model, this paper shows that e-biofuels (produced by adding renewable hydrogen to biomass conversion to utilize biog…
Xuwei Zhu, Jihong Zhang
This paper reconstructs the concept of additionality in renewable electricity carbon credits. It critiques traditional additionality tests and proposes a new framework to improve the credibility of carbon offset markets. The findings are cr…
Zhang Ying, Zhou Xiaoyu, Zhou Xiaoyu
Under China's 'dual carbon' goals, this paper examines how carbon emission trading network shocks along supply chains affect corporate total factor productivity (TFP). Both upstream and downstream shocks significantly enhance TFP, with mech…
Muhammad Atif Mahmood
This study assesses the techno-economic feasibility of hydrogen refuelling stations for decarbonizing transportation. It covers tank-to-tank modeling, a techno-economic analysis of a solar-powered HRS for a Spanish train, optimization using…
Jing ye Lyu, ren di song, Xiu Feng Fan
This study develops a framework for measuring and classifying urban marginal abatement costs (MAC), and provides multi-scenario forecasts to inform cost-effective emission reduction policies. It contributes to climate mitigation planning.
Sven Teske, Jonathan Rispler, Saori Miyake
This report demonstrates the technical and financial feasibility of 100% renewable energy pathways for the Iberian Peninsula. The Energia 4.0 scenario achieves net-zero by 2040, while the 4.1 scenario shows sufficiency measures further redu…
Sven Teske, Jonathan Rispler, Saori Miyake
This report presents 100% renewable energy pathways for the Iberian Peninsula, demonstrating technical and financial feasibility. The Business as Usual scenario exceeds the Paris Agreement carbon budget, while the Energia 4.0 scenario achie…
Keira L Eichelkraut
This paper examines the EU's climate and energy policy shifts after the Russia-Ukraine war. It reviews initiatives like REPowerEU and the European Green Deal, highlighting the challenge of balancing energy security with climate goals. It no…
Frederic Berger, Sustainable Energy, Ernst Worrell +1
This dissertation addresses gaps in integrating Multiple Impacts (MI) of energy efficiency and renewables into the EU's Energy Efficiency First (EE1st) principle. Through five studies, it examines domestic fossil fuel extraction sustainabil…
Yuxuan Wu, Haowen Dai, Hengyi Zhang +1
This paper proposes a method to quantify carbon emissions in retail supply chains using explainable deep learning for demand forecasting. This enables visualization and reduction of scope 3 emissions.
Purnima Negi, Mini Srivastava
Proposes a strategy using digital innovation to achieve ESG reporting conformance with TNFD, aiming to revolutionize ESG governance and enhance sustainability.
Lin Sun, Jun Zeng
This paper reframes ETS-driven supply-chain carbon risk transmission as an AI decision-support problem. It proposes an end-to-end pipeline integrating a temporal supplier-buyer graph, NLP-based quantification of low-carbon clauses in procur…
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