GX Research Hub · English
GX & Decarbonization Research
This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open 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.
PreprintResearch Square2026#AI × ESGDOI
An Efficient Photovoltaic Power Forecasting using Adaptive Learning Rate Enhanced Gated Recurrent Unit (ALRE-GRU) network optimized with Enhanced Dynamic Grasshopper Optimization Algorithm (EDGOA)
Parchami J, Darroudi A, Ali A +2
This paper proposes a hybrid framework combining Variational Mode Decomposition (VMD) with an Adaptive Learning Rate Enhanced Gated Recurrent Unit (ALRE-GRU) optimized by the Enhanced Dynamic Grasshopper Optimization Algorithm (EDGOA) for p…
🌍 GlobalDatasetZenodo2026#Carbon AccountingDOI
GreenCalculus — IPCC AFOLU (Agriculture, Forestry & Land-Use) Tier-1 Emission Factors
Say, Jeremiah
This dataset provides the complete IPCC AFOLU Tier-1 default emission factors in a machine-readable format (2,953 rows). It covers livestock, manure management, soil N2O, rice, land-use change, and biomass burning, with each factor linked t…
Preprint🌍 GlobalSSRN#SBT/SBTi
Corporate Net-Zero Pledges: The Bad and the Ugly
(著者不明)
This paper critically evaluates the quality of corporate net-zero pledges, highlighting that many lack specificity and transparency. It analyzes issues such as insufficient Scope 3 coverage, missing interim targets, and credibility gaps.
PreprintSSRN#SBT/SBTi
How to measure net zero success: Introducing a new framework for ...
(著者不明)
This paper proposes a novel metric called the Net Zero Score, a corporate sustainability rating focused solely on measuring progress toward net zero. Unlike traditional ESG ratings, it offers a simple and transparent framework for stakehold…
Preprint🇺🇸 USASSRN#Renewable Energy
Case Study in Two Regions in the U.S., Miso North and Spp Rto We
(著者不明)
This study analyzes a decarbonization pathway (Pathway A) that replaces fossil fuel-fired thermal power plants with variable renewable energy (VRE) in two US regions: MISO North and SPP RTO WE. It quantitatively evaluates the deployment eff…
PreprintSSRN#Energy Transition
Decarbonization Planning Based on Energy Flow Analysis
(著者不明)
This paper proposes a decarbonization planning method using energy flow analysis to support renewable energy adoption and efficiency improvements.
Preprint🇺🇸 USASSRN#Carbon Pricing
Designing a Carbon Tax to Reduce U.S. Greenhouse Gas Emissions
(著者不明)
This paper describes a revenue-neutral and distributionally neutral approach to designing a carbon tax for U.S. greenhouse gas emission reductions. By rebating revenues to households, it addresses equity concerns and political feasibility.
PreprintSSRN#Disclosure Infrastructure
Climate Disclosure and Director Elections
(著者不明)
This study examines the relationship between shareholder-supported climate disclosure proposals and director election outcomes. It finds that investors who support such proposals are more likely to vote against directors at firms lacking ad…
PreprintSSRN#Disclosure Infrastructure
Mandatory Sustainability (ISSB) Reporting: Early Evidence from ...
(著者不明)
This paper provides early empirical evidence on mandatory sustainability reporting under IFRS S1 and S2. It analyzes disclosure quality and market impact, assessing the effectiveness of the regulation.
PreprintSSRN#Scope 3
The Informativeness of Scope 3 Emissions Disclosures in Australia ...
(著者不明)
This paper assesses the informativeness of Scope 3 emissions disclosures by listed companies in Australia and New Zealand from 2020 to 2023. It examines whether these disclosures provide decision-useful information for investors and identif…
PreprintSSRN#Carbon Accounting
Carbon Accounting Quality: Measurement and the Role of Assurance
(著者不明)
This paper examines whether external assurance improves the quality of firms' carbon accounting. The authors develop a novel measure of carbon accounting quality and empirically assess the effectiveness of assurance in enhancing it.
PreprintSSRN#Scope 3
Scope 3 Emissions Disclosure and Supply Chain Decarbonization
(著者不明)
This study empirically demonstrates that customer Scope 3 emissions disclosures are systematically associated with supplier emissions reductions, providing evidence for the role of disclosure in supply chain decarbonization.
Preprint🇺🇸 USASSRN#Carbon Accounting
E-ledgers Carbon Accounting by Robert S. Kaplan, Karthik Ramanna
(著者不明)
This paper proposes a novel carbon accounting method using electronic ledgers (e-ledgers). It addresses limitations of traditional carbon accounting, offering a framework for more accurate and transparent emission measurement. Published as …
PreprintSSRN#Scope 3
A Multi-Tier Methodology for Scope 3 Emissions Accounting in ...
(著者不明)
This paper proposes a novel multi-tier methodology for Scope 3 emissions accounting that addresses the limitations of traditional approaches by integrating secondary data and supply chain network analysis. The method enables more accurate e…
PreprintSSRN#AI × ESG
Large Language Models and Stock Investing: Is the Human Factor ...
(著者不明)
This study explores the application of large language models (LLMs) in finance, particularly for stock prediction and ESG evaluation. It compares human judgment with LLM-based analysis, examining the impact on investment performance.
PreprintSSRN#AI × ESG
Artificial Intelligence-driven corporate finance: enhancing efficiency ...
(著者不明)
This paper proposes AI-driven methods in corporate finance to enhance governance and sustainability practices. It demonstrates how AI can automate ESG evaluation and disclosure, strengthening corporate sustainability efforts.
PreprintSSRN#AI × ESG
Harnessing large language models for ESG analysis: Evaluating ...
(著者不明)
This study systematically assesses corporate ESG performance using large language models (LLMs) and examines its relationship with stock prices. It demonstrates the applicability of LLMs in ESG analysis.
PreprintSSRN#Transition Finance
Increasing bankability, phasing out carbon investments and funding ...
(著者不明)
This paper presents a taxonomy that forms the basis for policy recommendations to increase the bankability of not-yet-bankable firms and projects. The taxonomy is designed to help phase out carbon investments and facilitate funding for deca…
PreprintSSRN#Carbon Accounting
Do Firms Manipulate their Carbon Emissions Reporting?
(著者不明)
This paper documents that firms underreport their carbon emissions following high-profile climate controversies specific to the firm. It raises concerns about the reliability of self-reported emissions data and suggests potential greenwashi…
PreprintSSRN#Disclosure Infrastructure
Transparency Without Transformation? The Disclosure-Performance ...
(著者不明)
This paper critically examines the link between mandatory disclosure and environmental performance, finding that disclosure alone does not guarantee sustainability or accountability. It highlights the need for better design of reporting fra…