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 2581–2600 of 27224 papers
Ming-Sheng Hu, Nan Peng
This study finds that local government environmental governance significantly increases trade credit financing for heavily polluting firms, driven by improved environmental disclosure and greater green transition investment. The effect is s…
R. Indradewa, B. M. Sopha, W. Sari
This study builds a system dynamics model of Indonesia's transport energy transition, integrating ICE, EV and FCEV adoption with policy, market, technology and environmental feedbacks. Scenario analysis for 2020-2035 shows that combining in…
Mehdi Ghasemi, G. M. Monsalve-Bravo, Suresh K. Bhatia +3
This review establishes a continuum-scale framework for modeling gas permeation in mixed-matrix membranes (MMMs), critically examining existing permeation models and offering a unified description of transport mechanisms. It highlights adva…
Milad Khashay, Alireza Ramandi, E. Esmaeilnezhad
This review integrates metabolic pathways and reservoir-scale processes of subsurface microbial gas formation (CH4, CO2, H2, N2), linking them to EOR, underground H2 storage (UHS), CCUS, and depleted reservoir reuse. Microbial activity can …
B. Satanova, D. Kalmanova, Aizhan Zhexembayeva +8
This review synthesizes molecular design strategies, thermodynamic and atomistic absorption mechanisms, process-scale modeling, and sensing applications of deep eutectic solvents (DESs) for ammonia (NH3) capture and detection. It classifies…
Jin-Qiang Liang, Z. Jia, Yi-Yang Hong +6
This review integrates the full chain of flue-gas CO2 membrane separation, from materials and modules to process design. PVAm composite membranes exceed 1000 GPU permeance with CO2/N2 selectivity of 50–200; multi-stage systems reach >96% pu…
Y. O. Korzhov
This article examines stakeholder management, Social License to Operate, public-perception risks, and startup investment dynamics in nuclear and renewable energy amid the energy transition. It systematizes psychometric risk assessment and s…
Mona Alariqi, Omar Ahmed Abdulraqeb, Er-Bao Cao +1
Using panel quantile-on-quantile and conditional quantile models for G20 countries (1992–2021), the study finds green technologies significantly reduce ecological footprint, with stronger effects at higher quantiles but some attenuation at …
Yasmeen Saleh, Ayesha Alam, Labeeb Ali +2
This review surveys major green hydrogen production routes—water splitting via electrolysis, photocatalysis, and thermochemical methods, plus biomass conversion through pyrolysis, gasification, fermentation, and microbial electrolysis. Elec…
Christian Priatmoko, D. Hakam
This study evaluates a proposed green hydrogen hub in Sumatra, Indonesia, using DCF, Monte Carlo simulation, and real options valuation under techno-economic uncertainty. Electricity cost, electrolyzer efficiency, and financing conditions d…
Audrie Msamba, Edward Augustine Benjamin Affainie
Surveying 156 SMEs and interviewing lenders in Blantyre, Malawi, this study tests whether sustainability reporting improves SME access to finance. It finds no statistically significant relationship, though qualitative evidence suggests ESG …
Hao-Ran Chu, Shu-Pei Yuan
Two experiments show how political ideology and moral judgments shape public support for government- and corporate-led net-zero and climate-risk efforts. Ideological polarization persists even for market-based policies like carbon trading, …
Megna Rashid Bakshi
This review synthesizes evidence on agroforestry's contribution to net zero agriculture, drawing mainly on 2000–2026 literature. It identifies five contributions: carbon storage in biomass and soils, productivity stability via microclimate …
Sani Umar Muhammad, S. Waghmare, Surrender Singh Siwach +3
A bibliometric analysis of 864 Indian carbon market documents (1999–2025) using R's Biblioshiny. Annual output surged to 162 in 2025, with 38.4% of cumulative output from 2023–25. Co-word networks reveal five clusters (forestry, carbon sequ…
Shan-Heng Fu
Using a Bootstrap ARDL framework on Chinese macro time-series (1965–2022), this study quantifies long-run elasticities linking CO2 emissions to coal share, primary energy consumption, and GDP per capita. Primary energy shows an elastic asso…
Yerdaulet Kenges
This paper tests whether Kazakhstan's Emissions Trading System (2013) causally reduced the market valuation of high-emission listed firms. Using a 2008-2022 panel of 52 firms and difference-in-differences, it finds high-emission firms saw T…
Pertamaputra Djohan, Amos Apui, Yovan Iristian
This paper examines the friction between standardized carbon pricing frameworks (carbon taxes, ETS) and local realities in developing jurisdictions. Using Indonesia, South Africa, Malaysia, and Mexico, it analyzes MRV enforcement, regulator…
Guang-Yu Wan, Pei Jiang, Jing-Fen Hua +1
Using Chinese A-share firms (2013–2023) and an ML-assisted textual measure of carbon-reduction disclosures, this study finds such disclosures are positively associated with firm value, more so for internally oriented operational disclosures…
Glaudson Mosqueira Bastos
This paper compares ISO 14083:2023 with the GHG Protocol for quantifying and reporting GHG emissions in transport supply chains. While the GHG Protocol offers a broad corporate carbon accounting framework, ISO 14083 provides operational spe…
Fan Jia
This study proposes a dual-dimensional framework assessing ESG rating quality through validity and utility lenses, implemented in China's A-share market targeting local adaptability and entrepreneurial enablement. Using machine learning for…
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