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 15761–15780 of 36752 papers
Weiwei Li, Zeyun Dong, Yinghao Xiong +6
This review focuses on carbon nanofiber (CNF)-based composites as photocatalysts for converting CO2 into valuable hydrocarbons, covering synthesis methods and design strategies. Recent advances include solar-driven hydrogen production and C…
Eldeep, City, Karam, Fida, Zaki, Chahir
This paper examines how physical and transition climate risks affect women's empowerment in firms, using World Bank Enterprise Surveys. Physical risks reduce female ownership, while transition risks boost female management, especially in sm…
E. Godinho, Beatriz Simonetti de Mattos
This paper examines whether the New Development Bank (NDB), established by BRICS, can reduce dependency on core currencies (USD, EUR) by financing in local currencies, thereby fostering an ecological transition. Analyzing the NDB's project …
Buckley, Ian R. C.
This paper theorizes the interaction between climate and financial risk using sheaf cohomology. It argues that TCFD and NGFS treat climate risk as an input, missing the coupling topology that creates irresolvable conflict cycles ('Climate D…
Dr. Ayalapogu Ratna Raju, T. Akila, Dr.K Umapathy +3
This study proposes a data-centric framework using a Multilayer Perceptron (MLP) to predict carbon emission reduction potential across the lifecycle of residential buildings. Analyzing 1,640 projects, the model classifies reduction levels w…
Roberto Tognetti, Chiara Torresan
This scoping review synthesizes 1990-2025 literature on climate-smart forestry (afforestation, reforestation, conservation, restoration) for carbon sequestration in boreal and temperate forests. Studies concentrate in Europe and North Ameri…
Nungula E.Z.
This paper provides an overview of carbon emission trading as a response to climate change. It discusses the mechanisms and economic implications of emissions trading, and considers its effectiveness as a policy tool. It likely lacks specif…
Javier Quille-Mamani, José Huanuqueño-Murillo, Grover Jesús Yapuchura-Morales +4
This exploratory study in Peruvian rice paddies evaluates AWD irrigation's GHG reduction potential using remote sensing. UAV and PlanetScope imagery were used to identify phenological windows for estimating CH4, N2O, and CO2 fluxes. Maximum…
Aditya S Khatu, Sampriti Chattopadhyay, Ana I Torres
This study develops a superstructure optimization framework to evaluate retrofitting refineries with small modular nuclear reactors (SMRs) for cogeneration. A multi-period mixed-integer quadratically constrained program generates a Pareto f…
Janardan Behera
This paper analyzes how a government in an exporting economy should design green subsidies when facing the EU's Carbon Border Adjustment Mechanism (CBAM). Using a stochastic Stackelberg differential game with Bayesian learning about the for…
Borghesi S.
This paper critically reviews the Market Stability Reserve (MSR) of the EU ETS, analyzing design flaws and impacts on carbon prices, offering insights for policy improvement.
David Campos Vásquez, Mercedes del Río Merino, Paola Villoria Sáez
This dataset and Stata code enable replication of a fixed-effects panel analysis estimating the water-related Scope 3 carbon footprint of 12 public hospitals in Madrid (2016-2024). It compares three emission factors (Spanish, UK, and region…
Qadimli, Nushaba, Mammadov, Ulvi
This thesis examines the role of green finance and digital solutions in supporting carbon-neutral development of strategic transport corridors. It highlights that transport corridors are crucial for trade and logistics but also increase car…
Danny Marks, Kittima Leeruttanawisut
This study identifies five barriers to fair community participation in Thailand's mangrove carbon credit program (T-VER) through 18 interviews. It argues that unclear policies, unfair benefit-sharing, divergent views, capacity gaps, and hig…
Lee, Brian, Rich, Alex, Thomas, Nathan +6
This study develops a Mixture-of-Experts (MOE) machine learning framework using multi-sensor fusion (Sentinel-1, ALOS PALSAR, Sentinel-2) to directly estimate forest aboveground biomass change (ΔAGB). Trained on 9,087 repeat inventory plots…
Giles Gater, Xihui Haviour Chen, Kienpin Tee
This study empirically demonstrates that China's environmental regulations significantly reduce carbon intensity (CO2 per GDP) using panel data from 11 major emitters (2010-2023) and a DID-MTP approach. The effect strengthens over time, ope…
Sourav Batabyal, Alper Gormus
This study analyzes the bidirectional transmission between climate policy uncertainty (CPU) and housing prices across U.S. metropolitan areas using a Fourier-augmented Toda-Yamamoto causality framework. Findings reveal significant CPU-to-ho…
Aisha Al-Hammadi, Dr Tareq Al-Ansari, Dr Ahmed AlNouss +1
This study develops a data-driven optimization framework to minimize energy consumption across interdependent LNG hot section units (inlet receivers, acid gas removal, dehydration). Using HYSYS simulation data, it identifies critical variab…
He M.
This study empirically examines the impact of China's carbon emissions trading scheme (ETS) on steel enterprises' pollution control performance using a quasi-natural experiment. It provides evidence on whether ETS adoption promotes corporat…
Chuanyou Duan, Zipei Wan, Yunying Liao +9
This study proposes a one-step in-situ crosslinking co-carbonization method for microstructure engineering of hard carbon anodes in sodium-ion batteries, aiming for low-cost and high-performance energy storage. The approach enables precise …
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