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 8121–8140 of 32699 papers
Kjartan Sigurðsson
This chapter analyzes AI's transformative role in sustainability reporting, particularly ESG, arguing it represents institutional change rather than mere technological improvement. It examines how blockchain, generative AI, and real-time mo…
Kjartan Sigurðsson
This paper provides an overview of the evolution of sustainability reporting, tracing its historical development and current trends. It synthesizes major frameworks and standards without presenting new empirical data, aiming to give readers…
Patrycja Hąbek, Kjartan Sigurðsson, Małgorzata Radomska
This paper examines the impact of AI on sustainability reporting. It discusses how AI can automate ESG data collection, analysis, and disclosure, enhancing efficiency and accuracy. It also addresses challenges and regulatory implications of…
Dicky Yulvarizal
This study analyzes the impact of capital structure (DER), profitability, and liquidity on firm value (PBV) and the moderating role of ESG disclosure, using 33 companies listed on the Indonesia Stock Exchange's ESG Leaders Index (IDXESGL) f…
Aamir Ali, Joel Victor Dossa, Salome Reuben Charles +5
This paper empirically examines how ESG disclosure affects market liquidity during crises, focusing on the role of information asymmetry. It suggests that counter-cyclical ESG disclosure can enhance investor confidence and improve liquidity…
Archika Reiva Sayanda
This study examines the impact of ESG disclosure, independent audit committee, and financial performance on firm value (Tobin's Q) for basic materials firms listed on the Indonesia Stock Exchange. Using panel data regression, it finds that …
Zarak Khan, Dr. Muhammad Zahid, Shahida Wizarat
This study analyzes the impact of ESG disclosure on financial performance of Pakistani banks using panel data from 2017-2024 and 2SLS regression. Results show a positive and significant effect on ROA, ROE, and Tobin's Q, supporting Stakehol…
Dajiang Liu, Tao Yu, Huiying Xu
This paper proposes a GAT-LSTM hybrid model for dynamic carbon footprint accounting in prefabricated steel structure buildings, integrating spatio-temporal data to estimate emissions across the construction process. It overcomes limitations…
Thing-Yuan Chang, Chien-Chih Chen, Chin-Hsien Hsu +2
The food supply chain emits 13.7 billion tons of CO2e annually, yet accurate Product Carbon Footprint (PCF) estimation is inaccessible to many manufacturers. This study proposes a machine learning framework combining Gaussian Mixture Model …
Pablo González-Martínez, Irantzu Goenaga, Sara León-Ecay +4
This study compares the carbon footprint (CF) of yearling bulls finished on a diet including vegetable by-products (VBP) versus a conventional diet in Navarra, Spain. The VBP diet resulted in a significantly lower CF (42.01 vs 117.84 kg CO2…
Tarak Barhoumi, Najoua Mezghani
This paper proposes CarbontoScope IA–SFAX, an augmented intelligence system to visualize urban carbon footprints, applied to Sfax, Tunisia. It identifies hidden emission sources, providing data for urban planning and policy. Integrating AI …
Hong Tang, Yue Sun, Yubing Huang +4
This study proposes a dynamic framework for assessing use-phase carbon emissions of outdoor jackets, integrating durability scores and washing behavior. Simulations reveal a nonlinear relationship between durability and emissions, suggestin…
Kangyi Cai, Hongyan Ma
Introduces CM-CA, a dataset on CO2 mineralization in coal ashes, standardizing indicators for material properties, reaction conditions, and CO2 uptake. Aims to facilitate data-driven analysis and machine learning modeling, advancing CCUS te…
Herry Fang, Chao Hsuan Sung, Haitao Yu +5
This study investigates iron-loaded chitin pyrolysis, revealing that iron accelerates decomposition and forms iron carbide nanoparticles embedded in graphitic carbon. The resulting materials show significantly enhanced methylene blue adsorp…
Femke Pijcke, Josua Seitz, Sari Stark +6
In dry pine forests of northern Finland, over 50 years of reindeer exclusion increased lichen biomass 4.5-fold and soil organic carbon stock by 28%, shifting carbon composition toward more labile compounds. This shows grazing management aff…
Paul Kron
This paper estimates the carbon cost of a large language model (LLM) query using life-cycle analysis and greenhouse gas emissions, calculating an ultimate cost of approximately $0.4 per query (about 10 gCO2eq/query) for future generations. …
Jingcheng Li, Tianyang Wang, Menggang Li +1
This study analyzes the effect of green finance on China's electricity sector, finding that while it curbs direct carbon emissions, it may exacerbate lifecycle emissions. It highlights the importance of comprehensive emission assessment in …
Panpan Zhao, Xiaowei Guo, Leiyi Chen +6
This study quantifies the effects of diurnal asymmetric warming on soil organic carbon (SOC) and its fractions through a 1.1-year field experiment. Nighttime warming alone caused 1.9 times greater SOC loss than daytime warming, by enhancing…
Robert S. Kaplan, Karthik Ramanna
This paper details the accounting infrastructure for E-ledgers, a system for real-time, verifiable carbon accounting. It specifies journal entries for E-liabilities and E-assets, explains inter-entity articulation, and aggregation into a ge…
Jae‐Hyeok Lee, Jae-Wook Lee, Sung‐Hee Roh
This study evaluates pecan shell-based activated carbon for simultaneous removal of methylene blue and Cd(II). Adsorption kinetics and isotherm analyses reveal the adsorption mechanisms and characteristics. As a waste-derived adsorbent for …
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