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 321–340 of 37113 papers
L. Hirth
The paper disentangles two conflated notions of electricity price variation: 'variability' across delivery times (driven by non-storability) and 'volatility' across trading times (driven by uncertainty), formalized in a simple day-ahead/imb…
Heejin Yang, Doowon Ryu
The paper argues corporate ESG commitments fail for three distinct collective-action reasons—enforcement, verification, and common-knowledge gaps—and proposes a short classroom game for each. Using cheating, public-goods, bluffing, hats-puz…
Petya Petrova
This study proposes an ESG Proxy Mapping Approach that uses financial statement indicators as an additional screening source for ESG risk exposures, addressing information asymmetry and greenwashing concerns in sustainability disclosure. An…
Benjamin Damoah, Sagini Keengwe, Eunice Ofori
This paper traces global environmental agreements from 1971 to 2025 and explains why a dense treaty architecture has failed to improve planetary conditions. Through comparative document analysis across climate, biodiversity, and pollution r…
Suria Majdi
A bibliometric review of 649 Scopus-indexed English journal articles (2023–2025) maps the intellectual structure of materiality research via publication profiling and keyword co-occurrence. Materiality emerges as the central organizing conc…
Patmawati, Meita Rahmawati, S. F. Kartasari
Using panel regression on Indonesian SOEs listed on the IDX, this study examines determinants of sustainability report disclosure and the moderating role of good corporate governance (GCG). Profitability, firm size, and GCG positively affec…
Hira Sarfraz, Shakir Majeed Khan, Saadia Bakhtawar +1
This study surveys 300 finance professionals to examine how FinTech-enabled climate intelligence—leveraging AI, big data, and climate-risk assessment—shapes sustainable investment decisions and green capital allocation. Climate intelligence…
J. J. van Tol, V. R. Clark, E. Kotze +14
Argues that afforestation drives in southern Africa misclassify ancient, fire-adapted grasslands as 'deforested,' producing misleading carbon claims. Alien tree plantations consume more water, raise fire risk, and reduce soil carbon. The au…
T. Weerakoon, Keshmin Senaratna, Jānis Zvirgzdiņš +4
ARCHER is an explainable physics-guided deep learning framework for retrofitting heritage buildings, combining reduced-order lifecycle-carbon accounting, temporal transformers, ensemble uncertainty, and constrained multi-objective optimisat…
Noor Raida Binti Abd Rahman, Maslinawati Mohamad, H. S. Nahar +1
Content analysis of 28 listed Malaysian energy firms' 2019-2024 reports using the CCRASI framework (64 indicators, 4 dimensions). Average resilience scored 44.85%, rising ~175% from 25.06% (2019) to 68.86% (2024). Governance/stakeholder eng…
Yong-Gil Lee
Using a directional distance function on 17 automotive groups, this study shows how financial measures, reporting boundaries, and reference-set choices shift financial–carbon comparisons. Expanding the operational reference set changes Tesl…
Yesmine Khlif, Jamel Chouaibi
Using a 2020–2024 panel of 315 high-emission firms across 17 countries, this study finds carbon risk reduces conditional accounting conservatism, and that adoption of the financial materiality (FM) principle amplifies this negative relation…
F. Fathihani, Ainun Jariah, I. Sari +1
Using 108 firm-year observations from Indonesian carbon-intensive energy firms (2022–2025), this panel regression study finds carbon emission disclosure significantly raises firm value (Tobin's Q), while green innovation has no significant …
Alejandro Betancourt-Odio, Marlene Fonseca, Santiago Budría
Using Australian HILDA panel data (2009-2021) and individual fixed-effects models, this study links direct exposure to weather-related disasters with higher out-of-pocket pharmaceutical spending. The association concentrates among those wit…
O. Bezlyubchenko, E. Shyshkin, T. Apatenko
Compares four European benchmark districts—BedZED, Hammarby Sjöstad, Nordhavn and Vauban—to identify architectural, technical and governance principles enabling district-scale net-zero emissions. Success depends on systemic coherence across…
Jiu-Hong Yu
Proposes an integrated carbon accounting and optimization framework for the polysilicon industry using big data and graph neural networks. A multilayered carbon accounting model links procurement, operations, and distribution, while a dynam…
Jihad Nafidzulhaq
This conceptual study examines Islamic FinTech as an ethical, inclusive, technology-enabled mechanism to finance the energy transition in emerging economies. It identifies Shariah-compliant crowdfunding, green/digital sukuk, blockchain smar…
Dewi Purwati, Ye Yi
This study examines how green credit may affect commercial banks' credit risk through financial intermediation and credit risk management lenses. It argues that embedding environmental factors into borrower assessment can lower exposure to …
Nafisatuz Zahwa, Arif Afendi, Mardhiyaturrositaningsih
Panel regression on 9 Indonesian Islamic commercial banks (2020–2024, 45 observations) tests how governance (GCG), green banking disclosure, and non-performing financing (NPF) affect ROA. GCG is positively significant, NPF negatively signif…
Sarah Sentika, Herry Achmad Buchory, Ramadhi Ramadhi +1
A bibliometric mapping of 2,405 corporate finance articles (2016–2026) using OpenAlex, VOSviewer co-occurrence analysis, and a strategic diagram. The green transition cluster is the newest, most cohesive, and most cited, yet the least conne…
Browse by Topic