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 4541–4560 of 27224 papers
Wall R.
This paper empirically analyzes which policy instruments attract foreign direct investment (FDI) in renewable energy. It examines the impact of policy types and institutional design on investment decisions, offering insights for effective p…
Khanchel I.
This paper examines how the relationship between ESG disclosure and cost of capital evolves over time, specifically testing for a 'ratcheting effect' where the impact of disclosure on financing costs becomes cumulative or amplified. As inve…
Cao Y.
This paper analyzes the characteristics of greenhouse gas emissions from animal husbandry in Inner Mongolia and explores emission reduction measures. It aims to identify region-specific emission patterns and propose policy recommendations f…
Carrera-Villacrés D.V.
This paper presents a case study on calculating the carbon footprint of the Universidad de las Fuerzas Armadas ESPE in Ecuador using IoT devices. It proposes a method for real-time data collection on energy consumption and activities to vis…
Bond N.
This paper proposes and evaluates a pressurized chemical looping process for direct reduced iron (DRI) production, aiming for a carbon-neutral configuration. It presents an innovative technological pathway for decarbonizing the steel indust…
Lou H.L.
This review systematically organizes strategies for achieving net-zero-energy and net-zero-carbon buildings, examining challenges and opportunities from design, technology, and policy perspectives. It offers practical insights for decarboni…
Bowen Butchart D.
This paper advances the quantification of greenhouse gas emissions from Australia's beef cattle and sheep industries, highlighting the interplay between carbon sinks and emission hotspots. It provides insights for agricultural emission redu…
Nyssa Cassandra Agtarap, Jan Patrick Bito-on, Trixia May Cañedo +4
This study examines the relationship between ESG ratings and accounting information quality (AIQ) among Philippine listed firms. Using LSEG ESG ratings and financial statements, regression analysis reveals that higher ESG ratings are associ…
Adelina Zeqiri
This paper proposes a conceptual framework linking AI-driven marketing to sustainable tourism outcomes, mapping four pathways: smart operations, environmental intelligence, demand shaping, and governance. It advances eight testable proposit…
V. Vairagade
This paper presents an AI-assisted, data-driven approach for designing cement-based hybrid materials and forecasting their lifecycle performance to enhance environmental sustainability. While specific findings are not available, the work li…
N. Subhan, Nouman Ali, H. Hanif
This study analyzes contagion effects of green (Cardano, Stellar) and non-green (Bitcoin, Monero) emerging cryptocurrencies on energy markets (WTI, Brent, Natural Gas) using Quantile VAR and quantile connectedness frameworks. Using daily da…
Varul Jain, R. Maurya, Pooja Meena +6
Horticulture has become engineering-intensive, with structures, climate control, lighting, fertigation, sensing, robots, and cold chains. This review treats these as an interconnected domain and evaluates evidence for efficiency, sustainabi…
Murali Krishna Pasupuleti
This paper proposes a Geospatial Quantum-AI Climate-Finance Digital Twin (GQAI-CFDT) framework integrating geospatial observations, carbon MRV, infrastructure state, financial networks, and socioeconomic indicators. It uses coupled state-sp…
Murali Krishna Pasupuleti
This paper proposes a Quantum-AI Earth-System Intelligence (QESI-PID) framework to integrate climate risk and natural capital into investment decisions. It combines Earth-system digital twins, graph-based structural analysis, probabilistic …
Randeep, Sanjay Srivastava, V. Soamidas
This study evaluates rammed earth blocks reinforced with jute fiber and LC3 cement. 1% jute fiber provides optimal strength and ductility, while LC3 enhances durability. The composite achieves compressive strength of 4.32 MPa, flexural stre…
Wenlong Fu, Hongmin Yang, Haiqing Zhang +5
This study investigates the effective influence radius of liquid CO2 phase transition fracturing in high drainage roadways of deep coal seams. The technique offers a potential alternative to hydraulic fracturing, improving gas drainage effi…
Guanming Liu, Gang Deng, Xueying Sun +4
This paper examines the time-varying impact of climate policy uncertainty (CPU) on oilseed futures returns using a TVP-VAR model, based on dual supply-demand and cost channels. CPU generally has a positive effect, but negative impacts appea…
Nihal Ahmed, Nisar Khan, Józef Ober +1
This study provides the first global quantification of trade-embodied belowground ecosystem multifunctionality (BEMF) loss, coupling soil indicators with the FABIO multi-regional input-output framework and CMIP6 projections. International t…
Yao Mu, Rong-Rong Chen, Chao-Xian Yang +3
This study analyzes land use change impacts on carbon emissions in Chongqing (2000-2020) using the PLUS model and projects future scenarios. Net emissions soared from 13.19 to 52.73 million tons due to conversions to high-carbon uses. An ec…
Zhaosheng Wang, Yong Li
This study assesses theoretical biomass energy potential in Asia using MODIS NPP data, AHP, and clustering. It finds 327.68 EJ (about four years of consumption), with forests contributing 49.3%, highest in China, India, and Indonesia. Scena…
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