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 421–440 of 4132 papers
Duan Wang, Yang Zhou, Byungjun Yu
Using Chinese manufacturing panel data, this study finds greenwashing contagion through interlocking directorates, moderated by financing constraints. Firms with fewer constraints are more susceptible, especially in marketized regions and h…
Shuocheng Li
Using a multi-period DID model on Chinese A-share listed firms (2014-2024), this study finds that green bond issuance significantly increases green patent applications, with stronger effects under robust intellectual property protection. He…
Haodong Li, Wenzhu Liao, Youning Qian
This paper proposes a stochastic optimization approach for designing sustainable closed-loop supply chain networks for electric vehicle batteries. It balances cost and environmental impact under uncertainty, contributing to resource circula…
Evgeny Lopatin, Timo P. Pitkänen, Lauri Sikanen
This paper proposes a conceptual framework for a Digital Forest Carbon Twin (DFCT) to enhance forest carbon MRV. It defines a six-layer architecture centered on persistent tree-wise state, integrating carbon accounting, uncertainty propagat…
Ponnapat Watjanatepin, Lola Eelen, Laura Steinwidder +9
This study proposes a dynamic LCA framework to evaluate mineral carbonation of steel slags as a CCUS technology in agriculture. By integrating temporal and spatial dynamics, it provides a comprehensive environmental impact assessment, overc…
Siddhartha Subramanian, Matheus T. de Groot
This study evaluates chlor-alkali electrolysis as an alternative to conventional chemical refining for lithium hydroxide (LiOH) production, a key precursor for nickel-rich battery cathodes. It compares energy use, CO2 footprint, and waste g…
Denny Gunawan, Wibawa Hendra Saputera, Haolin Yu +8
This review critically examines recent advances in photocatalytic decarboxylation of fatty acids to produce low-carbon liquid fuels. It focuses on reaction mechanisms, catalyst design, and reactor engineering for selective production of gas…
Hunter Hughes
The clean-energy transition in emerging markets is constrained by a structural cost-of-capital divide, with financing costs two to four times higher than in advanced economies. This barrier creates perverse incentives for fossil-fuel invest…
Hunter Hughes
This report analyzes fiscal and investment dimensions of global decarbonization, quantifying clean-energy investment growth, stranded fossil-fuel assets, and emerging-market financing gaps under accelerated scenarios. It highlights sovereig…
Stephen Oko Gyan Torto, Rupendra Kumar Pachauri, Jai Govind Singh +4
This review systematically classifies transactive energy management (TEM) in multi-vector multi-agent energy systems, analyzing market topology, agent interaction, game-theoretic models, and deployment challenges. It introduces TE-RM, a hyb…
Tadesse Tesfaye, Girma Yitagesu, Teshale Anbessa
This systematic review examines how climate change affects soil health and carbon sequestration. Rising temperatures and altered precipitation degrade soil properties and reduce carbon storage capacity. However, agricultural practices like …
Jize Jiang, Lenny H. E. Winkel, Andrea Stenke +5
Using the DayCent model at 1 km resolution across Switzerland, this study quantifies N2O emissions from agricultural soils from 1981-2020. A 25% reduction in fertilizer use lowered emissions, but warming-induced increases offset these gains…
Will Krantz, Jacola Roman, Victoria L. Ford +5
This paper discusses the importance of the Global Warming Level (GWL) framework in regional climate planning, mitigating uncertainties from the CMIP5 to CMIP6 transition. Using Cal-Adapt as an example, it shows how GWL enables scenario-agno…
Boodsayapan Thitanon, Jihong Kim, Thi Thuy Linh Pham +1
This review analyzes the evolution of green port indicators across two periods (2010-2020 and 2022-2026). Pre-2021 indicators focused on localized compliance issues like air pollution and energy efficiency, while post-2021 indicators emphas…
Eliseo Curcio
This paper evaluates nine on-site power technologies for AI data centers against a grid with endogenous pricing, using complete-site costs and measured GPU loads. Gas combined cycle costs 114 USD/MWh vs 92 USD grid; four-hour storage is cap…
Rafal Sieradzki, Praveen Kumar Ashok Kumar
This paper measures the Disclosure-Performance Gap (DPG) between voluntary environmental disclosure and realized emissions performance for 200 large European firms, finding that flagship index membership and TCFD endorsement widen the gap, …
Aniketh Bharathwaj
This paper theorizes greenwashing in international mutual funds using signaling and agency theories, comparing EU SFDR and US SEC Names Rule amendments. It identifies four typologies of greenwashing and argues that regulatory fragmentation …
JunYoung Hur
This paper structurally defines the 'Phantom Abatement Loop,' a self-reinforcing mechanism where corporate transition pressure converts into offset demand, project finance, reported abatement claims, and perceived progress. It argues this l…
Xiaowang, Shen
This paper proposes the RCE-B/S 2.0 model to shift natural capital accounting from disclosure to pricing. It introduces an eight-dimensional discount formula and quantitative natural capital risk premium, claiming to improve credit rating p…
Farinu Uthman, Philip Edward, Adekola Priscilla
This study develops a hybrid AI model integrating random forest, LSTM, and gradient boosting to forecast carbon sequestration and financial returns of afforestation projects. Using satellite, soil, carbon price, climate, and cost data, it g…
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