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 18421–18440 of 36407 papers
Thamo T.
This paper examines methods for measuring agricultural greenhouse gas emissions and analyzes the economic implications for policy and agricultural producers. It discusses challenges and opportunities for reducing emissions in the agricultur…
Sharma M.
This paper proposes AI-enabled energy transition and demand response models for hotels to achieve net-zero targets. It aims to optimize electricity demand, integrate renewable energy, and reduce carbon footprint.
Setiawan A.D.
This paper explores how battery swapping industry development supports net-zero emission transitions. It examines strategies for EV battery swapping adoption and policy recommendations.
Rehman H.U.
This study analyzes the energy and emission impacts of integrating electric vehicles (EVs) with nearly and net zero energy buildings (NZEBs). It shows that combining EV charging loads with on-site renewable generation can flatten grid load …
Ali H.H.
This case study evaluates near-net-zero-energy building strategies for residential buildings in Jordan, analyzing energy consumption reduction and renewable energy integration. It provides practical insights for energy-efficient building de…
Burke A.
This paper argues for a new international framework for net-zero, moving beyond the failures of current climate governance. It emphasizes the need for architectural redesign and cooperative governance.
He F.
This paper provides insights from the UK on integrating multi-timescale energy storage into net-zero electricity systems under evolving technologies and policy environment.
Rafi M.
This review comprehensively examines strategies for low-carbon concrete to reduce the construction industry's environmental impact. It covers alternative cement materials, carbon capture technologies, and energy efficiency improvements, dis…
Mostafavi Sani M.
This paper proposes an adaptive multi-stage stochastic-robust optimization approach for staged transition to net-zero in remote communities. It addresses uncertainty in energy system planning, balancing robustness and flexibility. The model…
Faten Ben Bouheni, Manish Tewari, Dima Leshchinskii
This study examines the association between ESG initiatives and corporate performance using 360 S&P 500 firms from 2010-2018. Environmental performance positively relates to current profitability (ROA), with a one-standard-deviation increas…
M. Vu, N. Lê, Albert Vu
This paper examines how ESG media signals affect earnings volatility of Vietnamese listed firms. It finds that social signals increase short-term volatility, governance signals reduce volatility, and environmental signals predict higher fut…
Fahad Ullah Khan, Asad Amin
This systematic review examines the evolution of ESG investing, its link to financial performance, and key measurement challenges. Following PRISMA guidelines, it screens peer-reviewed articles (2010-2025) and applies thematic analysis. Fin…
Rine Dewi Mustikasari, Maria Ulpah
Using XGBoost and SHAP on 1,362 global green bonds (2014-2023), this study finds that structural and macroeconomic factors dominate yield formation, while ESG attributes—especially the social pillar—matter after controlling for macro-financ…
Md. Abul Kalam Azad, A. Masum, M. Rahman +3
EcoStack-Pro is a federated learning framework using a stacked ensemble of LightGBM, XGBoost, and Gradient Boosting with a Fed-GenAdaptive algorithm, achieving high-precision ESG auditing across heterogeneous industrial sectors while preser…
Камар Кожахметова, D. Rakhmatullayeva, K. Ruziev
This paper systematically reviews the role of multicriteria analysis (MCA) in ESG-oriented portfolio optimization. It compares methods like TOPSIS, PROMETHEE, VIKOR, AHP, Entropy, and CRITIC for integrating ESG criteria into investment deci…
Thanyawee Pratoomsuwan, H. Tan, W. Wattanacharoensil
This systematic review of 72 top-tier accounting journal articles analyzes how external drivers (regulatory, market) shape firm-level ESG initiatives and their impact on financial and non-financial performance. Applying institutional logics…
T. Hildenbrand, A. Röser, Alexander Zureck
This study analyzes the impact of ESG ratings (Bloomberg Disclosure Score and Morningstar Sustainalytics Score) on systematic and unsystematic risk for STOXX Europe 600 companies from 2017-2022. Using panel regression, it finds that the rel…
Hye-Kyoung An, Moon-Koo Kim, Byoung-Chang Choi +1
This study classifies 5,097 ESG publications into environmental (ENV) and non-environmental (non-ENV) domains, comparing their knowledge structures using bibliometric analysis, international collaboration network analysis, and BERTopic mode…
Supandi Dedi, Nurhaliza Nurhaliza, Fiarani Mesil +1
This study analyzes the effect of ESG disclosure on firm value in mining subsector companies listed on the Indonesia Stock Exchange (IDX). Using data from 2022-2025, it finds that ESG disclosure has no significant negative effect on firm va…
Kudakwashe Munyepwa, Liberty D. Mudzengerere, Pauline Machaka Charity Ranganai +1
This empirical study examines how ESG disclosure practices affect firm valuation and capital costs across different industries. Findings suggest that higher disclosure quality reduces cost of capital and increases firm valuation, with indus…
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