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 61–80 of 923 papers
Zhao Sanglin, Zhao Sanglin
This study empirically analyzes the impact of digital transformation (DX) on carbon emission reduction using data from Chinese listed construction enterprises from 2000 to 2021. The results show that DX significantly reduces carbon emission…
Girish K A, Chiranthana Shreya, Nischitha H E +2
This paper presents an autonomous robot using AI and image processing to detect plants and spray fertilizers precisely. It reduces chemical waste and farmer exposure, enhancing sustainability. Experiments demonstrate improved spraying accur…
Yinfeng Chen, Ying Hu
Using panel data from China's carbon-intensive industries (2007-2023) and double debiased machine learning, this study shows that GVC participation and domestic content ratio promote low-carbon innovation. Mediation paths include upgrading …
Wen‐Chi Yang, Wen‐Min Lu, Irene Wei Kiong Ting +1
This study analyzes 37 firms in TSMC's value chain using inverse DEA and chance-constrained DEA to examine ESG initiatives' impact on eco-efficiency. Environmental dimension negatively affects eco-efficiency, while social and governance dim…
Çağdaş Civelek
This study compares Türkiye's agricultural GHG emissions with EU-27 countries and forecasts 2025-2030 emissions using machine learning. Agricultural emissions account for ~12% of total, ranking second in total but ninth lowest in intensity.…
Elena Claudia BADEA (FLOREA), A. Olteanu (Burca), M. Bunea +1
This study proposes an integrated competency framework for auditors in the AI era, expanding roles from financial audit to ESG assurance and AI tool use. Based on a structured literature review of 22 articles (2019-2025), it identifies six …
Hwang S.
This paper proposes an LLM-agent framework to automatically assess IFRS S2-aligned climate disclosures in Korean corporate ESG reports. It aims to efficiently check completeness and consistency, identifying disclosure gaps. Contributes to t…
Naila Rana Andira, Philipp Sander, A. Pehlken
Industry accounts for three-quarters of global GHG emissions, and procurement changes affect product emissions. This paper integrates an event-based architecture with ERP systems to dynamically calculate and visualize material GHG emissions…
Zhufeng Huang
Using Chinese A-share listed firms' green bond issuances from 2016-2024, this study shows that corporate digital transformation (CDT) significantly lowers green bond credit spreads. Text-based CDT index and fixed-effects regressions reveal …
Hanwen Zhang
This narrative review examines how AI influences ESG disclosure quality and greenwashing governance. It proposes a three-level framework where AI serves as disclosure mechanism, audit instrument, and promoter of normative behavior. AI can i…
Hamidah Nurhayati, Muslimin Muslimin, Fajrin Satria Dwi Kesumah
This study analyzes panel data from 30 firms listed on the IDX ESG Leaders Index (2021-2025) to examine the impact of AI and ESG disclosure on firm value. Using fixed-effects regression, it finds no significant standalone effects, but firm …
Abdulazeez Y.H. Saif-Alyousfi
This study proposes a hybrid framework integrating TVP-VAR connectedness with LSTM deep learning to analyze and forecast volatility spillovers in green financial markets, including green bonds, renewable energy stocks, and carbon markets. U…
M. Kim, J. Yoo
This study re-examines the conflicting findings on ESG and tax avoidance, attributing them to methodological issues: measurement differences, ESG index heterogeneity, and endogeneity. Using random forest and double machine learning, it show…
Yuxiang Xiao, Xiong Zheng
This study develops a reproducible EnergyPlus-based framework combining parametric simulation, interpretable sensitivity analysis, and machine learning surrogates to analyze operational energy and carbon coupling for Beijing hotels. From 20…
Francisco Climent, Pedro Carmona, Alexandre Momparler
This dataset comprises European global equity retail mutual funds with five-year performance records (2020-2024) from Refinitiv Eikon. It includes variables such as fund return, ESG scores (environmental, social, governance), expense ratio,…
Aiting Xu, Senhao Fang, Jiapeng Chen +1
This study proposes a carbon emission forecasting framework integrating STIRPAT economic theory with an adaptive neural architecture (GSGDN). It captures regional dependencies via geographically weighted regression and reduces operational c…
Marco Aurélio dos Santos Bernardes
This study introduces Adaptive Energy Stations (AESs) that integrate marginal grid emissions, fuel life-cycle carbon intensities, wholesale prices, and vehicle constraints into station-level dispatch optimization. A one-week winter CAISO pr…
Hadia Arshad
This review comprehensively analyzes AI's environmental footprint (energy, water, carbon, e-waste, rare earths) and its climate mitigation potential. Data center electricity reached 415-470 TWh in 2024-25, with AI workloads projected to rea…
Anh Bui-Tuyet, Nhat Duy Lai, Quyen Hua-Thi-Ngoc
AI has a dual role in energy transition: productivity gains in heavy industry reduce energy intensity, while data centers surge electricity demand. Using a 23-sector CGE model for Vietnam through 2035, Green AI boosts GDP by +1.79%, while B…
Hussain K. Alagele, Nagham Hussein Neama
This study analyzes the impacts of economic, ESG, and AI factors on energy transition in three OECD countries via skills enhancement, using CS-ARDL on 2022-2026 panel data. Economic factors negatively impact transition, but skills enhanceme…
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