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.

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Showing 10321–10340 of 17042 papers

PreprintArgentina, business and technology review2026#Scope 1/2DOI

Desempeño ambiental, huella de carbono y potencial de economía circular en una planta de alimentos balanceados en Entre Ríos, Argentina: un estudio de caso

Nancy Viviana Hoffmann

This study evaluates the environmental performance and circular economy potential of a feed mill (1000 t/month) in Entre Ríos, Argentina. Using quantitative (material/energy flows, partial carbon footprint covering scopes 1, 2, and transpor…

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Preprint🌍 GlobalCrossref2026#Scope 3DOI

A Network Approach to Scope 3 Emissions

Nicolas Romero Diaz, Maximiliano Udenio, Wim Van Hyfte +1

This paper develops a network-based methodology to estimate firms' indirect Scope 3 emissions across supply chains, using monetary transaction data and Scope 1 & 2 emissions, and shows comparable results can be obtained using only transacti…

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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…

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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.

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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…

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