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 1101–1120 of 4132 papers
Xu D.
This study empirically examines the effects of straw returning and water management on yield and non-CO2 greenhouse gas emissions in cold black soil paddies. It suggests that optimizing water management is crucial for reducing agricultural …
Daniel Yeung, Lingju Chen, Qingliang Tang
This study re-examines the ESG-financial performance link using a configurational approach. Analyzing 1,380 environmentally mature firms (CDP score ≥ B) with fsQCA, it identifies five equifinal pathways to high profitability (ROA). Strong E…
Sunxu Liu, Yue Hu, Xiangyu Hua
Using Chinese A-share non-financial listed firms (2009-2024), this study examines whether ESG rating divergence is associated with SA-index-based financing constraints. Fixed-effects regressions show a significant positive association, with…
A. Pournaghshband, F. Piadeh, Mohsen Ahmadi +1
This study develops an AI-driven decision-support framework integrating LCA, scenario-based material substitution, mixture-of-experts neural networks, and sustainability optimization. Using a UK office building case study with 1500 scenario…
Yunhai Zhang, Shaoqing Wang, Li Qing +4
This study simulates CO2-water-rock reactions in the Jilin Oilfield brine layer using TOUGHREACT, analyzing pH, mineral transformation, and ion concentrations. Results show pH stabilizes around 4.8, with precipitation of magnesite, montmori…
Vlatka Bilas, Tomislav Radoš, Lana Frkovic
This study examines whether ESG ratings provide useful information for credit risk assessment in an emerging EU member state, using Croatian firm data from 2024-2025. Combining econometric models and random forest prediction, the findings s…
Asad Abbas, Muhammad Usman Qureshi, Muhammad Azeem +1
This article compares CSR/ESG/sustainability/climate disclosure requirements for listed companies in Pakistan as of 2026 with US federal securities law and California's climate rules. Pakistan mandates IFRS S1/S2 on a phased basis while kee…
Diego Silva Herran, S. Fujimori, Osamu Nishiura
This study assesses a scenario where carbon pricing revenues in industrialized regions fund the UNFCCC's 2035 climate finance goal of USD 300 billion for developing countries. With differentiated carbon prices across industrialized, transit…
J. Mo, Liliane Iradukunda, Wooyoung Jeon
This study evaluates the impact of the EU ETS Market Stability Reserve (MSR) on carbon price levels and volatility using the Synthetic Control Method (SCM). Constructing a counterfactual with Korea, New Zealand, and China as donors, it find…
Qiwei Wu, Kunquan He, Jingwen Liu +2
This study investigates the effect of ammonia (NH3) co-firing on mineral transformation and liquid-phase formation during combustion of Zhundong coal and kaolin mixtures, using experiments and thermodynamic calculations. NH3 co-firing alter…
Shadi Samizadeh, Joe Howe, Pouriya H. Niknam +4
This review critically examines biomass diversity and bioenergy conversion technologies, including thermochemical and biochemical pathways. Mature routes like anaerobic digestion and co-firing are commercially deployed (TRL 8-9) and offer i…
Xuncheng Fan, Lili Zhao, Hongjia Xu
This study analyzes 22 border cities in Northeast and Northwest China using Scope 1-2-3 emissions and LMDI decomposition. It finds that despite population decline, carbon intensity rose in the Northeast due to worsening energy structure, wh…
Vitaliy Soloviy, Gudrun Haindlmaier, Klaus Kubeczko +3
This study analyzes tensions among green, digital, and just transitions, presenting five perspectives: constructing realities, governing transitions, negotiating meanings, reasoning by numbers, and reimagining transitions. Based on 28 real-…
Lu Shen, Tianguang Lü, Mingwei Li +5
This study quantifies how renewable energy droughts (periods of low wind/solar output) lead to increased fossil fuel generation, worsening air quality. It highlights the compound climate-air pollution risks and underscores the need for resi…
Zhen Chang
This study examines the relationship between ESG scores and default risk for corporate bonds in developed economies (US, UK, Eurozone, Japan) from 2018 to 2025. Using MSCI and Bloomberg ESG ratings, credit spreads, and probability of defaul…
Roan Chadsey, Jay Fuhrman, Catrin Harris +2
This paper assesses the scale and timing of carbon dioxide removal (CDR) consistent with national climate pledges (NDCs). It quantifies the role of CDR in climate policy contexts, highlighting feasibility and policy implications.
Shuangxiang Zeng, Lisha Dong, Jingtao Shao +2
This study optimizes carbon purification from spent cathode carbon (SCC), a hazardous waste from aluminum production, using machine learning. Six algorithms were compared, and LightGBM was tuned via RSM, orthogonal design, and local optimiz…
Iara Campolina Dias Duarte, Diego Henrique de Souza Chaves, Esly Ferreira da Costa +1
This study evaluates three biogas recovery pathways in WWTPs: thermal drying, electricity generation, and combined heat and power. S2 achieves highest electricity and GHG reductions but lowest economic performance; S1 shows best economics (…
W. -J. Bai
This study develops an early warning system for green transportation financial risks using PCA for dimensionality reduction and an improved PSO-optimized SVM. Integrating financial, environmental, policy, and market indicators, it achieves …
Jianglin Jiang
This paper uses double machine learning to estimate the causal effect of digital transformation (DX) on urban green and low-carbon transition efficiency. It reveals mechanisms through which DX promotes energy efficiency and emission reducti…
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