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 1021–1040 of 4132 papers
Cowell, Jan
This paper examines Scope 3 Category 1 (Purchased Goods and Services) emissions management in financial institutions, using BNY as a case study. It finds fragmented disclosure and argues that the hybrid calculation method offers the best ba…
Anuj Pathak
This repository provides code and data to reproduce a national scenario analysis toward net-zero emissions. It uses IPCC AR6 scenario data, IEA-EDGAR historical CO2 emissions, and World Bank income classifications, with effort-sharing alloc…
Desmond Bayong, Dejun Zhou, Andrews Osei Agyemang
This study examines the impact of AI adoption on ESG disclosure quality among manufacturing firms in G7 economies using panel data from 2017-2024 (5,600 firm-year observations). Quantile regression reveals a consistently positive relationsh…
Amvrosios G. Georgiadis, Vasileia-Loukia Yfanti, Ismaël Amghizar +6
This study presents a conceptual process design and life-cycle GHG analysis for converting mixed plastic waste into polymer-grade olefins via pyrolysis, e-cracking, compression, and separation. Eight scenarios are assessed, combining centra…
Gabrielli P.
This paper analyzes the role of storage power purchase agreements (PPAs) in Europe, examining contract models and policy frameworks that can facilitate the deployment of energy storage. It provides insights for integrating renewables and en…
Wang Z.
This paper analyzes the development of China's emissions trading system (ETS) from a political economy perspective, examining the interplay of political and economic factors in its design and implementation. It highlights the characteristic…
Daskalakis G.
This paper analyzes how temporal restrictions in the EU Emissions Trading System (EU ETS), such as allowance expiry and borrowing limits, affect the carbon futures market. It provides insights into market participant behavior and price form…
Holligan B.
This paper examines the legal and institutional issues surrounding unauthorized transfers of emission allowances in the EU ETS. It questions the legal nature of allowances (commodity vs. propriety) and analyzes remedies and design flaws. Of…
Della Chiesa T.
This paper examines the potential for reducing greenhouse gas emissions in North American soybean production. Specific methods and results are unclear, but it likely contributes to decarbonization in the agricultural sector.
Wu T.
This paper analyzes pathways to net-zero emissions in China's cement industry, highlighting the critical role of more intensive use and lifetime extension of cement. Quantitative modeling shows that demand reduction and circularity can sign…
DeAngelo J.
This paper analyzes energy system scenarios for achieving net-zero CO2 emissions, examining technological and policy pathways such as large-scale renewable deployment and phase-out of fossil fuels. It clarifies structural changes in energy …
Fei Wu
This study empirically examines how ESG rating disparities affect corporate patient capital using a two-way fixed effects model. Findings show that rating disparities significantly increase patient capital, especially in non-state-owned and…
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…
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