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 1401–1420 of 4168 papers
L. B. Muralidhar, R. Shilpa, N. Sathyanarayana +2
This chapter examines how blockchain technology can address inefficiencies, fraud risks, and accessibility barriers in traditional carbon credit markets. It covers tokenisation mechanisms, smart contracts, and decentralised ledgers, with ca…
Alexis Costa, Lionel Dubois, Marie‐Eve Duprez +2
This paper addresses the techno-economic optimization of a cryogenic carbon capture process based on CO2 desublimation for transport applications. It balances cost and energy efficiency to assess economic feasibility, contributing to CCUS d…
Keeratikan Piriyakul
This review systematically examines carbon-capturing biocementation pathways (MICP, EICP, CA-mediated, etc.) for geotechnical engineering. It highlights their potential to replace cement, reduce CO2 emissions, and improve soil stability, wi…
Nianxin Liu, Liang Zhao
This paper proposes a data-driven stochastic robust optimization approach for low-carbon retrofit of industrial utility systems under multiple uncertainties. It balances cost and carbon emission reductions while considering uncertainties in…
Jian-yun Lu, Qing-Yi Liu, Yu-Qi Wang +5
This study develops a Bayesian multiobjective optimization framework with Gaussian process surrogates and uncertainty-aware search to map trade-offs in pharmaceutical wastewater treatment. Optimized operating windows improve removal efficie…
Momir Sjerić, Ivana Jovanović, Ailong Fan +1
This paper simulates the performance and emissions of a dual-fuel marine diesel engine to achieve low-carbon ferry operations, offering technical insights for decarbonizing the maritime sector.
Qian Ma, Chunxiao Liu, Kui Huang +6
This paper proposes D-PGNet, a deep projected gradient network that accelerates low-carbon economic dispatch with energy storage and carbon trading costs. It embeds physical constraints as differentiable projection layers, achieving optimal…
Xuhui Wang, Tongsheng Zhang, G.N. Xu +5
This study optimizes mixture design and renewable-energy steam curing for precast concrete, achieving CO2 emission reductions of 71.7-76.4 kg/m³. A mix with 15% GGBS and controlled curing improves strength and durability while cutting costs…
László Bokor
This paper proposes a simple input-output framework for estimating GDP and employment in low-GHG-intensity sectors resulting from green expenditures. It provides a numerical example based on Hungarian data and highlights practical implement…
Joana Setzer
This article examines the evolution of climate litigation from a tool to compel action to a forum for contesting the quality and fairness of climate measures. It analyzes 'just transition' litigation, where workers and communities claim cli…
Le Sun, Jia Liu, Kuanhou Tian
Using Chinese A-share listed firms from 2008-2024, this study finds that low-carbon transition strategy disclosure increases analyst following. The effect is driven by enhanced investor relations and richer information environment, but mana…
Florian Pothin
This repository provides code and figures for a product-level Trade-LCA framework for embodied carbon accounting in global trade. No datasets are bundled; all inputs are obtained from providers. It enables Scope 3 and supply chain emissions…
Agata Gniadkowska‐Szymańska
This study measures technical efficiency of listed energy firms in Europe, US, and Canada during 2017-2024 using DEA (CCR and BCC models) and panel data analysis. Findings show moderate efficiency with significant scale inefficiency; renewa…
Cristian Valentin Hapenciuc, Daniela Mihaela NEAMTU, Teodora Cajvan +1
This study applies FinBERT to financial news text to analyze the impact of ESG narratives on market volatility. Focusing on tech, energy, and banking sectors in Eastern Europe, it finds signs of a 'regime shift' where ESG transitions from a…
Philipp C. Verpoort, Gunnar Luderer, Frederike Bartels +6
This paper examines policy options for regulating emissions across the EU fossil fuel supply chain, analyzing their implications. It proposes frameworks for accounting, reporting, and reducing supply-chain emissions, assessing contributions…
Antonio Alonso-Cepeda, Raquel Villena‐Ruiz, Andrés Honrubia‐Escribano +1
This critical review examines the system-level implications of large-scale EV deployment on power networks and energy resources, covering vehicle technologies, charging infrastructure, grid integration, and renewable coupling. It identifies…
Meghan Lewis, Brad Benke, Stephanie Carlisle +1
This factsheet outlines performance-based building policy requirements to address embodied carbon—GHG emissions from materials and construction across a building's life cycle. Reducing embodied emissions also mitigates pollution impacts on …
D. Barro, A. Basso, M. Corazza +1
This study uses machine learning to analyze the impact of the energy transition on Eurozone sovereign credit risk. It evaluates how the shift to renewable energy affects government bond yields and CDS spreads, offering insights into the imp…
Kazeem O. Isah, Sin‐Yu Ho
This study analyzes how climate risks and green technology shocks affect profitability in U.S. energy and financial sectors using an ADL-MIDAS model with mixed-frequency data. Both physical and transition risks predict profits, with stronge…
Brook Waldman, Meghan Lewis, Jordan Palmeri
Buy Clean policies integrate low-carbon requirements into government procurement of construction materials, using EPDs and GWP limits to reduce embodied carbon. Leveraging government purchasing power, they boost demand for low-carbon materi…
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