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 3041–3060 of 24257 papers
Peng Zhang, Yanxia Pan, ZengRu Wang
In a revegetated area of the Tengger Desert, ant-mound soils showed significantly lower organic carbon, microbial biomass, and labile carbon fractions, and 27% lower microbial carbon use efficiency compared to adjacent biocrust soils. Ant m…
Dominic Ross, USDOE National Nuclear Security Administration (NNSA), Yulan Han +9
This lightning talk investigates how solution and active site speciation drive selectivity in electrocatalytic reactive carbon capture using Ni-N-C catalysts in diethanolamine. It aims to elucidate the mechanism for efficient CO2 capture, c…
Hamidah Nurhayati, Muslimin Muslimin, Fajrin Satria Dwi Kesumah
This study analyzes panel data from 30 firms listed on the IDX ESG Leaders Index (2021-2025) to examine the impact of AI and ESG disclosure on firm value. Using fixed-effects regression, it finds no significant standalone effects, but firm …
Wenxin Chen, Hongtao Ren, Yadong Yu +1
This paper analyzes trade-offs among cost, emissions, and flexibility in China's integrated power-hydrogen system, evaluating the system value of Power-to-Hydrogen-to-Power (P2H2P). It provides quantitative insights into hydrogen's role in …
Shen Xiaowang
This paper addresses the WTO compatibility of the EU's CBAM by proposing a 'Climate Compatibility Certification' system based on the Prim-Lex Theory. It introduces a three-color zoning (green, yellow, red) for products based on carbon footp…
Md. Qamruzzaman, Abdulrahman Alomair, Mohammed Alomair
This study examines how FinTech adoption and intellectual capital drive ESG disclosure, and how ESG disclosure and dividend policy affect firm value in DSE-listed financial institutions. Using panel data from 2015-2023, it finds positive as…
Sorin Gabriel Anton, Anca Elena Nucu
Using data from 81 countries, this study examines the impact of financial inclusion (FI) on renewable energy consumption (REC) via quantile regression. FI is negatively associated with REC, suggesting that expanded financial services may in…
Safia Bibi, Ling Yang
This study analyzes the joint effects of climate variability, governance effectiveness, energy infrastructure, and socioeconomic factors on agricultural productivity and food security across 28 OIC member states from 1990 to 2024. Electrici…
Norberto Gomes de Araujo, Yudi Nurul Ihsan, Mega Laksmini Syamsuddin +3
This study quantified mangrove biomass and carbon stocks in Sabuli, Timor-Leste using non-destructive field methods and allometric models. Mean total biomass was 48 t/ha, carbon stock 23 t C/ha (84 t CO2e/ha). Sonneratia alba dominated, and…
Aline C. Soterroni, Mariana Império, Marluce Scarabello +4
This dataset provides scenario-based projections of land use, GHG emissions, and energy system indicators for Brazil from 2020 to 2050 at five-year intervals. Using a soft-linked framework combining GLOBIOM-Brazil and BLUES models, it inclu…
Yeonji Choi, Youngkyun Seo, Eunyoung Park +1
This paper examines design considerations for CO2 liquefaction in onboard carbon capture and storage (OCCS) systems, addressing optimization of liquefaction conditions and energy consumption reduction, providing engineering insights for imp…
Yoshito Funashima
This paper empirically shows that renewable energy adoption acts as a buffer against energy-related uncertainty, providing private benefits to domestic economies. Using panel data from 28 countries, it finds that in high renewable share reg…
S. K. Ning, Tuomas Puttonen, Jan Sher Akmal +3
This study explores simultaneous carbon emission reduction and mechanical property improvement in laser powder bed fusion (LPBF) of 316L stainless steel by varying process parameters. Combining experimental and data-driven methods, it evalu…
Bo Shen (419737), Qing Han (600037), Zixian Zhang +2
Using county-level panel data from China (2013-2023), this study employs a DID model to analyze the income effects of the 'County-wide Distributed PV Pilot' policy on rural residents. The policy significantly boosts rural income, primarily …
Kun Xiao (137726), J Peng, Xinyi Su +2
This study analyzes why cross-provincial green electricity trading fails to significantly reduce carbon emissions, focusing on conflicts among local governments, grids, and external renewable producers. Using a three-party evolutionary game…
Kelvin Kidonya Ngongolo, Atuhombye Ayubu Sigala, Doreen Mrimi
This review assesses climate impacts on Sub-Saharan African food systems, focusing on Tanzania, South Africa, and Nigeria. Nature-Based Solutions (NbS) like agroforestry and soil rehabilitation improve resilience but face barriers: financia…
Guy Finkill, Clair Gough, Sarah Mander (10209119) +1
This study examines the role of green finance in the low-carbon transition of UK industrial clusters, showing how financing frameworks shape what is considered 'green'. It highlights that projects like carbon-capture-enabled gas power and e…
Weitong Long, Xueqin Zhu, Yong Hou +3
China's dietary shift and afforestation policies reduce domestic emissions but cause significant emission leakages abroad through trade-induced land-use changes. Using an integrated model, the study finds leakages of 364 Tg CO₂-eq for dieta…
Coleman Parker Vollrath
This dissertation improves methane emission estimates from urban natural gas infrastructure in the U.S. and Canada. It reviews existing studies, develops a new quantification method, and conducts two case studies in Calgary to better charac…
Abdulazeez Y.H. Saif-Alyousfi
This study proposes a hybrid framework integrating TVP-VAR connectedness with LSTM deep learning to analyze and forecast volatility spillovers in green financial markets, including green bonds, renewable energy stocks, and carbon markets. U…
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