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 4161–4180 of 24476 papers
Haibo Wang, L. Sua, Jaime Ortiz +2
Using daily data from 2013 to 2023, this study employs a TVP-VAR model to examine volatility spillovers among critical mineral ETFs, energy markets, carbon emission futures, and global infrastructure. High-ESG-score portfolios significantly…
Anandhi P., Srividya M.
This study evaluates gasoline and natural gas quality against ISO 8217:2017 and GSA 141:2022 using samples from eight suppliers. Results reveal density below limits in some gasoline (possible kerosene adulteration), slightly elevated viscos…
Jianli Zhou, Yaqi Wang, Ruige Zhao +2
Proposes a collaborative optimization framework for joint capacity configuration and stakeholder interest equilibrium in a wind-PV-hydrogen-biogas multi-energy system. The study quantifies techno-economic trade-offs to achieve negative emis…
Vasilis Menexes-Eemvraizoglou, Dorothea Kasiteropoulou
This study analyzes the sustainability reports of eight major Greek companies for 2022, using GRI guidelines, to assess their alignment with Sustainable Development Goals. It finds satisfactory integration of management principles but ident…
Muhammad Mubeen, Saira Arshad, Hafiz Muhammad Arslan +1
This study examines whether gender-diverse boards are associated with stronger sustainability compensation incentives, and whether internal audit and GRI reporting moderate this link. Using a global 2012-2023 firm panel with fixed effects, …
Capt Yashodhan Mahajan
This paper explores how AI can transform sustainability and audit reporting from compliance-driven processes to intelligence-driven ones. It argues that AI enables deeper analysis, risk assessment, and higher-quality disclosures, offering s…
Muhammad Razaq, Lela Nurlaela Wati
Using 2018–2024 data from 68 Indonesian manufacturing firms, this study applies binary logistic regression to examine how ESG disclosure, green investment, and board gender diversity affect corporate reputation. It finds positive significan…
陈淑儿, Andrew S. Chang, Chen Ho +1
This study quantifies carbon emissions and area-based emission intensities for 23 road projects, showing average emissions of 16,368 tCO2e and intensity of 276 kgCO2e/m2. Pavement volume correlates more strongly with emissions (r=0.885) tha…
Allegra Mayer, USDOE National Nuclear Security Administration (NNSA), Eric Slessarev +3
This paper develops an economic framework for valuing reversible (temporary) carbon storage in a zero-emissions world. It addresses how to price duration and permanence risks of CO2 storage, with implications for carbon credits, accounting,…
Duncan N. L. Menge, Carla R. Reis Ely, Steven S. Perakis +22
This study quantifies the global carbon investment in biological nitrogen fixation (BNF). They find that in non-agricultural biomes, BNF investment relative to net primary productivity is higher in less-productive, higher-latitude regions, …
Mona Mashhadi Rajabi, Martina Linnenluecke, Jianlei Han +1
This paper examines the size of the carbon bubble, the potential overvaluation of fossil fuel assets under climate mitigation scenarios. It highlights stranded asset risks and discusses implications for investors and policymakers, emphasizi…
Rui Jiang, Chun Liang, Zichun Guo +4
This study investigates how parent material influences the formation pathways of mineral-associated organic carbon (MAOC), proposing a 'mineral sieve mechanism' that selectively retains certain organic compounds on mineral surfaces. The fin…
Willy Cahyadhiputra Gunawan, Eriani Ramadhianti, Endri Pitriadi +4
This study evaluates nature-based solutions (LID facilities) in a residential drainage system using EPA SWMM 5.2 for a hilly Indonesian residence. Three scenarios were compared; combined LID plus storage cut total runoff by 42.6% and attenu…
Luca Battisti, Adrienne Csizmady, Federico Cuomo +2
This study compares community gardens in Budapest and Turin as locally embedded nature-based solutions (NbS). Based on 47 semi-structured interviews across five gardens in Budapest and two in Turin, it interprets gardeners' practices along …
Luca Battisti, Adrienne Csizmady, Federico Cuomo +2
This comparative study of community gardens in Budapest and Turin examines how everyday gardening practices function as locally embedded nature-based solutions (NbS). Analyzing 47 interviews through social, technical, and ecological dimensi…
Reynaldo Rosa
This document introduces the BETTINA-C2C architecture designed to ensure structural honesty in peatland carbon screening, targeting the high-integrity voluntary carbon market. It provides a technical framework for enhancing the credibility …
Saidu Hassan Musa, Umar Aliyu Ahmed, Ishiyaku Ibrahim Babayola
This critical review examines technological transitions in steam methane reforming (SMR) for sustainable hydrogen production, focusing on catalyst deactivation, process intensification, and integration of carbon capture. It evaluates thermo…
Dominic Ross, USDOE National Nuclear Security Administration (NNSA), Yulan Han +9
This study reveals that solution and active site speciation control selectivity in electrocatalytic reactive carbon capture using diethanolamine over Ni-N-C catalysts. It provides fundamental insights for low-energy CO2 separation and advan…
Guangqian Ren, Man Jing, Peitong Liu +1
Using Chinese A-share listed firms from 2011-2024, this study shows that customer AI technology significantly boosts suppliers' green and low-carbon efforts (GLE) via green demand forcing and green knowledge spillover. Effects are amplified…
Dely Ramírez, Jonathan Muñoz Tabora, Ozy D. Melgar‐Dominguez
This study assesses GDP-CO2 decoupling in Honduras (1990-2023) using k-means, PELT, Tapio index, EKC modeling, Granger causality, and Random Forest. An inverted-U EKC is supported, but renewable share has negligible predictive power, sugges…
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