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 1461–1480 of 28563 papers
Shilei Zhou, Toshiyuki Fujita
A game-theoretic study of how mitigation and R&D cooperation interact in international environmental agreements. Linking technological cooperation to mitigation sustains large, stable coalitions. Contrary to conventional wisdom, technologic…
Jorge Eduardo Macedo Simões, Marcelo Bentes Diniz, Márcia Jucá Teixeira Diniz +2
Analyzing 760 municipalities in the Brazilian Legal Amazon (1990-2023), this study focuses on gross rather than net agricultural emissions using a PVAR model. Results show strong persistence in emissions, a robust bidirectional relationship…
Hussaini Bala, Abdulaziz Saud Al Naim, Abdulrahman Alomair
Using 1,345 firm-year observations (2014-2024) from Sub-Saharan African firms, this study examines whether ESG performance reduces corporate carbon emissions. Total ESG, environmental, and social scores significantly lower emissions, while …
Fabian Dablander, Simon Wimmer, Jonas M B Haslbeck
First comprehensive LLM-based assessment of The Guardian's climate coverage (N=18,785 articles, 2010–2025). Coverage rose sharply after 2018 and stayed elevated; causes and mitigation are dominated by fossil fuels and renewables, while agri…
Maria de Belém Costa Freitas, Alessandra Rodrigues, Iván Daniel Filip +1
This study builds an integrated economic-environmental framework applying TRACE methodology to crop and investment accounts in Mediterranean dryland agriculture. In Portugal's Guadiana Valley, direct seeding systems showed lower operational…
Dennison MS, Barah OO, M AM
A systematic review of 2016–2026 LCA studies comparing hydrogen-based DRI, EAF, and BF-BOF with CCS for steel. Renewable-powered H-DRI can cut GHG by ~60–96% vs conventional BF-BOF; scrap EAF reports 400–600 kg CO2-eq/t steel, and BF-BOF wi…
Zhang C, Hu P, Tan B +9
Combining a multi-stage project development model with expert elicitation, this study derives risk-adjusted WACCs for 13 power technologies in China. Solar PV and onshore wind show low WACCs (6.2–6.6%), while nuclear and CCS-thermal reach 7…
Hoeser, Thorsten, Bachofer, Felix, Kuenzer, Claudia
DeepOWT v5.25.1 is an open global dataset of offshore wind infrastructure locations and their temporal dynamics, derived by applying deep-learning object detection to ESA's Sentinel-1 SAR archive. Dense 1D swath-profile time series per unit…
Parrado-Hernando, Gonzalo, del Valle Sanchez, Cristina, Miguel González, Luis Javier
This supplementary repository supports a study on how representing capacity deployment timing in integrated assessment models (IAMs) affects energy transition pathways and policy analysis. It provides model files, input data, and scripts to…
Fabian Neumann, Michael Lindner, Fabian Hofmann +24
PyPSA-DE is an open, sector-coupled optimisation model of the German energy system, integrating power, heat, transport and industry for quantitative decarbonisation pathway analysis. It underpins the upcoming Ariadne Szenarienreport 2026 up…
Muhammad Ashraf, Dr. Amanullah Khattak, Dr. Khalid Rehman +1
Using a 2013-2023 panel of 165 PSX-listed non-financial firms, this study shows a TCFD-aligned climate risk disclosure index (CRDI) significantly lowers cost of equity, debt, and WACC. Green finance partially mediates the CRDI-cost of equit…
Hossain K.A.
This study reviews the current status, potential, challenges and development strategy of solar energy in Bangladesh in the context of global decarbonization initiatives. It argues that land scarcity should not be equated with resource scarc…
THUPSEE, MOHAMMUD SALEEM ESHAN JILANEE
This paper critiques First-Law energy accounting and applies a Second-Law exergy framework to Mauritius's island grid. ICE transport destroys ~82% of fuel exergy (η=18.0%), while direct PV-to-EV charging reaches 91.4% end-use efficiency. A …
Prindal Rawal
As AI and cloud drive data centre electricity demand, this study analyzes operational power use, grid carbon intensity, cooling, and indirect emissions, and evaluates decarbonization pathways including renewable procurement, on-site solar/w…
Canh Quang Le, Thao Minh Thi Pham
Using dynamic GMM on Asian panel data, this study finds renewable energy policies boost both renewable consumption and economic growth, while renewable consumption itself dampens growth. It argues that well-designed policy frameworks are ne…
Cheng L.
A study examining how distributed energy resources (DER) reshape the economics of decarbonization in Michigan. It likely assesses how solar, storage, and demand response affect system costs and the power mix. Though region-specific, its eco…
Chen Y.
An illustrative NSW case study estimating the production-stage carbon intensity of wind-based PEM hydrogen under temporal renewable-grid matching. It shows how the choice of temporal matching method affects the assessed carbon intensity of …
Li Q.
This paper reviews the direction of technological innovation in the coal industry under the vision of carbon neutrality. It examines clean coal utilization and technologies such as CCUS, considering coal's transitional role. As no abstract …
Fu Y.
This review integrates AHP weighting with multi-source indicator synthesis to reassess China's CO2 geological storage potential. It consolidates fragmented prior estimates into a structured site-suitability framework, offering a basis for l…
Dutta R.
This work integrates a hydrogen-enabled circular carbon economy into smart hybrid energy system operations. It proposes a tri-level scheduling framework that jointly optimizes supply-demand balance, carbon flows, and economics, alongside a …
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