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 2761–2780 of 37257 papers
Byounguk Keum
Using 2,312 Korean listed non-financial firm-year observations (2020-2024), this study examines how ESG performance affects earnings management. ESG shows no significant link to accrual-based earnings management but is significantly associa…
Alicia Amanda Wikaning Tyas, M. Muslih
Fixed-effects panel analysis of 24 Indonesian-listed energy firms (2021–2024, 96 firm-years) testing ESG disclosure, keyword-based digital-transformation disclosure, and leverage against Tobin's Q. ESG disclosure was negative but non-signif…
Soegiharto
Using a matched sample of 85 Indonesian ESG-assessed listed firms versus 170 non-adopters (2021-2023), panel regressions show ESG adoption raises ROE by 2.76pp and ROA by 1.54pp. Lower ESG risk scores correlate with stronger performance, an…
S. Halid, Siti Aisyah Rosli, N. Zaini +3
Using a balanced panel of 34 Malaysian non-financial listed firms (2015–2024), this study tests whether ESG performance predicts ROA and whether Big Four auditors moderate the link. Under firm-clustered robust fixed effects, the ESG–ROA ass…
Wan Razazila Wan Abdullah, Enny Nurdin Sutan Maruhun, Naimah Ahmad Yahya +2
This conceptual paper argues that mixed evidence on board diversity and sustainability disclosure quality stems from what happens after diverse directors are appointed. Integrating Stakeholder Theory and Resource Dependence Theory, it propo…
Cheng-Cheng Gan
A controlled simulation comparing monolithic vs. microservices architectures for climate financial risk modeling using a Merton-style credit model. At validation scale (1,000 exposures) microservices degraded performance 35% from orchestrat…
Jia-Ye Zhou, Jia-Xin Luo, Xin-Ying Shu
Proposes a two-stage hybrid framework combining rule-based filtering with a fine-tuned RoBERTa classifier to identify climate risks in noisy Chinese ESG disclosures. It classifies retained candidates into None, Physical, and Transition risk…
S. Saha, Mehedi Hasan, Mohammad Bin Amin +2
This study examines how structural transformation (agriculture-to-industry/services shift) affects ecological footprint across seven South Asian nations (1991–2023) using static and dynamic panel estimators (LSDVC, CUP-BC, FMOLS). Structura…
Hazik Mohamed
This conceptual study proposes a Digital Waqf Ecosystem linking waqf institutions, digital governance, and climate finance to address financing gaps and fragmented institutional coordination. Using Monte Carlo simulation as an exploratory t…
Yu-Qi Zheng
A conceptual paper on how digital finance and AI, within the platform economy, can support corporate green innovation. It identifies Chinese firms' transition barriers—capital shortages, slow technology iteration, uneven innovation resource…
Ismail Ibrahim Chacha, Zu-Quan Xiang
Using a panel of 19,683 firm-year observations from listed firms across ten major economies (2015–2025), this study finds that green finance, blockchain transparency, and digital finance significantly enhance corporate ESG performance. Bloc…
Elison de Souza Sevalho, Desireé Soares da Silva, Kamila de Sousa Gomes +3
This review integrates biological, technological, and industrial perspectives on microbial CO2 bioconversion within bio-CCU frameworks. A bibliometric analysis of 913 publications maps growth and interdisciplinarity, while the paper assesse…
Jian-Chun Zhao, Ming-Chuan Tao, Jianchi Lyu +7
A review mapping the technological roadmap, applications, and challenges of AI in the hydrogen energy industry. It surveys how AI can optimize hydrogen production, transport, and use to advance the green energy transition. ESG-evaluation li…
Ayushi Sharma, A. Gressent, E. Real +8
This study compares four French energy-transition scenarios against a 2019 baseline, estimating PM2.5 and NO2 changes plus health and economic co-benefits. All pathways cut PM2.5 by 40% and NO2 by 75% by 2050, avoiding 21,000-26,000 prematu…
Ziniu Li, Chen Anlan, Yingxiang Wang +4
A Stackelberg-game multi-agent model splits carbon pricing into short-, medium-, and long-term stages with a dynamic uncertainty set and adaptive two-layer decomposition algorithm. Experiments show an 86.3% daily renewable consumption rate …
Haiyan Hou, Zhiguang Tang, Yuanzhi Yao +5
Using the Common Land Model under SSP-RCP scenarios, this study isolates how land-use change, climate change, and rising CO2 affect future terrestrial water use efficiency (WUE). Rising CO2 dominates, driving 75-78% of global WUE change, wh…
Manyu Wang, 谢伦裕
This study empirically examines how households participate in China's Clean Heating Program and whether clean energy use is sustained over time. It assesses how policy interventions shape household fuel-switching behavior and continued adop…
Shiquan Zheng, Guo Yi
This paper proposes an optimal scheduling strategy for a Port Integrated Energy System coupling electricity, cooling, heat, gas, and hydrogen with CCHP, P2G, and storage. A ladder-type carbon trading mechanism progressively penalizes emissi…
Wenhua Yu, Zhikang Wang, Rongbin Xu +25
This study projects global wildfire-smoke (LFS) air pollution and its attributable mortality and economic costs from 2020 to 2100 under three SSPs, using deep learning trained on high-resolution station-validated data. Under high emissions …
Bobo Wu, Jixing Wang, Xiaoxuan Bai +4
This study analyzes agricultural GHG emissions in China at fine spatiotemporal resolution, mapping regional emission patterns. It identifies emission hotspots and proposes targeted mitigation strategies, offering empirical grounding for dec…
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