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 1061–1080 of 4160 papers
L. Lin, X. Yao, J. L. Liang
This paper proposes a method using an integrated Knowledge Graph (KG) and NLP to quantify green finance policy impacts by integrating policy, market, ESG, and carbon data. Validation with DID on China's green finance pilot zones (2016-2023)…
Hongjun Jing, Xiuli Li
Using panel data from Chinese A-share listed firms (2013-2023), this study employs multi-time DID and Dual Machine Learning to show that green bond issuance significantly improves corporate green technology efficiency, with weaker financing…
X. L. Wang, X. Xue, Y. Lin +1
Proposes a Graphormer-TCN fusion model to assess market operation of new energy settlement mechanisms in industrial parks. Models transmission topology as a weighted graph, integrating spatial and temporal features to score market operation…
Kefan Yu
This paper analyzes ESG disclosure in the luxury industry through a case study of Kering Group, set against the backdrop of the EU CSRD. Using legitimacy and stakeholder theory, the authors build a 48-indicator ESG disclosure scoring system…
Wallamkupar Dkhar, B. Lyngdoh, Paramjeet Kumar
This systematic review integrates consumer perception research with corporate net-zero practices, identifying environmental knowledge, awareness, and concern as key antecedents of favorable green marketing responses, while price sensitivity…
Nugroho Nugroho, Rahmatul Husni
This longitudinal critical discourse analysis compares how National Oil Companies (NOCs) and International Oil Companies (IOCs) responded to evolving climate disclosure regulations from the Paris Agreement to EU Omnibus I (2016-2026). Analy…
Yifei Lu, Jia Lu, L. Jin +2
This paper proposes a dual-channel deep learning framework using mixed-frequency data to forecast region-specific daily industrial carbon emissions with high accuracy. It applies AI to carbon emission monitoring, aiding climate action and e…
S. M. Zhang, G. Z. Wang
This study empirically analyzes the impact of ESG information disclosure on accounting conservatism using data from 1,028 Chinese listed companies. ESG disclosure quality is measured via third-party ratings and an entropy-weighted index, wh…
Yunsang Kim, Givi Melkadze
This paper analyzes the macroeconomic effects of carbon pricing, focusing on the role of bank credit. It examines how carbon pricing affects firms' financing and investment, and how bank credit supply amplifies or dampens policy effects. Th…
Mehdi Ramezani
This study proposes an integrated AHP-LCA framework for low-carbon building material selection, evaluating 13 criteria across 11 materials with expert judgments and cradle-to-gate impacts. Applied to a residential building in Tehran, it ide…
Lei Wang, Can Wang, Fu‐Da Yu +3
This paper proposes embedding a 15 wt.% hard carbon (HC) percolating network in graphite anodes to overcome slow kinetics and mechanical degradation during low-temperature fast charging. The HC network redistributes ionic flux, suppresses h…
R. Zhao, Yu Zhang, J. Cao +3
This study develops a carbon flow traceability model for waste feed resource utilization equipment, proposing moisture-based load-following control and a multi-machine energy efficiency redistribution strategy. Experiments show 20% energy r…
Jon Runyon, Antonio Escamilla Perejón, Lorenzo Pilotti +3
This paper proposes a novel methodology based on the Theory of Constraints (TOC) to evaluate the adoption potential of alternative fuels in gas turbine power plants. Unlike conventional multi-criteria decision-making, it identifies the sing…
Songrui Li, Jinchao Li, Chunxu Zhu
This study designs a power-carbon linkage trading mechanism for rural energy prosumer clusters based on sharing economy theory, aiming to enhance environmental and economic benefits. It proposes an external pricing model and internal cluste…
Angel Ann A. Pagpaguitan, Althea T. Horca, Ana Rose B. Velunta +2
This study compares top-down (international treaties) and bottom-up (city/community) governance models for climate mitigation, using Ostrom's polycentric governance theory. It finds top-down offers legitimacy but suffers implementation gaps…
Stephen A. Roosa
The growth of crypto-mining and AI in the US has led to a surge in data center electricity demand, primarily met by fossil fuels, conflicting with decarbonization goals. This chapter explores the challenges of supplying power to data center…
Enam, Tashfique, Shuvo Dip Datta, Technology, Mostakim Hossain Rony +1
This record provides supplementary material and a machine-readable evidence ledger for a systematic review and cross-model evidence-conversion analysis of additionality, temporal matching, and deliverability rules for grid-connected electro…
Gräfe, Moritz, Pettas, Vasilis, Ioannou, Anastasia +3
WINPACT is a Python-based life-cycle modeling tool for impact assessment of wind energy technologies. It simulates the operational life of wind assets and their interaction with metocean, technical, and economic environments. This release e…
Brick and Tile Research Institute
This deliverable covers the conceptual design and basic engineering of a small pilot furnace for electrically-driven melting of frits, traditionally fossil-fuel dependent. It includes numerical simulations, refractory lining, and power, coo…
Chang Liu, Xinyu Wang, Anna Warchlewska +2
This study examines the impact of industry-specific information disclosure guidelines (IIDGs) on corporate greenwashing using a sample of listed firms in China from 2008 to 2023. Employing a staggered DID model, it finds that greenwashing s…
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