GX Research Hub · English

GX & Decarbonization Research

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.

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Showing 29181–29200 of 37113 papers

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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Preprint🌍 GlobalSSRN#ESG

ESG Rating Uncertainty and Trade Credit Financing

(著者不明)

This study empirically investigates the causal effect of ESG rating uncertainty on trade credit financing. It finds that firms with higher ESG rating divergence receive less trade credit from suppliers, highlighting the real economic impact…

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Preprint🌍 GlobalSSRN#Carbon Pricing

Carbon Emissions Trading and Environmental Protection

(著者不明)

This study empirically analyzes the impact of emissions trading systems (ETS) on emissions reductions and renewable energy adoption using panel data. Findings support ETS as an effective tool for decarbonization.

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Preprint🇺🇸 USASSRN#Carbon Pricing

The Case for a Carbon Tax Revisited by Reuven S. Avi-Yonah

(著者不明)

This paper revisits the case for a carbon tax as an efficient and effective market-based mechanism to reduce CO2 emissions. The author argues that a carbon tax is economically superior to direct regulation and simpler and more transparent t…

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Preprint🌍 GlobalSSRN#Disclosure Infrastructure

Deep Dive into ISSB Standards: IFRS S1 and IFRS S2

(著者不明)

This paper provides a detailed analysis of IFRS S1 and IFRS S2, the two inaugural ISSB standards. It compares their requirements with existing frameworks like TCFD and CDP, and offers practical insights for implementation. The article also …

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Preprint🇪🇺 EuropeSSRN#Transition Finance

The EU's Climate Disclosure Framework and Bank Lending

(著者不明)

This paper empirically analyzes the impact of the EU's climate disclosure framework (including the Taxonomy Regulation) on bank lending. It shows that disclosure requirements affect loan conditions and volumes, evaluating the effectiveness …

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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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