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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Topic: #Climate Finance (clear)

Showing 281–300 of 1039 papers

Peer-reviewed🌍 GlobalJournalRevista Fórum de Direito Financeiro e Econômico2026#Climate FinanceDOI

Governança Internacional, Financiamento Climático e o Brasil: uma análise sobre os desafios para o desenvolvimento sustentável

Isabela Marques Caetano

This article analyzes post-Paris climate governance from a historical and critical perspective, identifying contradictions in the current market-based financing model. Using Brazil as a case study, it reveals how climate finance architectur…

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Peer-reviewed🌍 GlobalJournalCorporate Social Responsibility and Environmental Management2026#Climate FinanceDOI

Do Investors React Differently to GHG Emission in Stock Pricing Across Firms? Evidence From Commonwealth African Countries Using a Novel Wavelet‐Enhanced QQR Approach

I. Okon, Adeolu O. Adewuyi, Simplice A. Asongu

This study examines the nonlinear relationship between corporate GHG disclosure and stock returns/crash risks in six Commonwealth African countries. Using a novel wavelet-enhanced multivariate QQR method, it finds that low-disclosure firms …

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Peer-reviewedCNJournalTransactions on Economics, Business and Management Research2026#Climate FinanceDOI

Climate Shocks and Systemic Risks in the Real Economy

Weikai Tang

Using Chinese A-share listed companies from 2007-2024, this study finds that climate shocks significantly increase corporate systemic risk. Mechanism analysis reveals pathways through financial distress, reduced production efficiency, and w…

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Peer-reviewed🇪🇺 EuropeJournalSocial Science Research Network2026#Climate FinanceDOI

Simplifying climate change adaptation for banks in the EU

María J. Nieto, C. Papathanassiou

This paper evaluates the effectiveness of prudential regulations for banks' physical climate risk adaptation in the EU, recommending integration into stress tests, transition plans, and Pillar III disclosures, with adaptation measures refle…

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Peer-reviewedCNJournalInternational Journal of Managerial Finance2026#Climate FinanceDOI

Green finance policy and climate adaptation innovation: evidence from China

Jing Ma, Yewei Wu, Wenxin Liu

This study examines whether China's Climate Investment and Financing Policy (CIF) promotes firms' climate adaptation innovation. Using Chinese A-share listed firms and a difference-in-differences approach, they find that CIF significantly i…

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Peer-reviewedJournalQuality & Quantity: International Journal of Methodology2026#Climate FinanceDOI

Time-varying, frequency-domain, and quantile spillovers across energy and financial markets under climate policy uncertainty: evidence from TVP-VAR-SV, BK, and QVAR models

M. Qamruzzaman, A. Alomair, M. Alomair +1

This paper investigates spillover effects between energy and financial markets under climate policy uncertainty using TVP-VAR-SV, BK, and QVAR models. It finds that climate policy uncertainty nonlinearly affects market connectedness across …

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Peer-reviewed🇪🇺 EuropeJournalJournal of Risk and Financial Management2026#Climate FinanceDOI

How Do IFRS S2 Climate Risks Affect IAS 36 Impairments? A Constructive Accounting Framework Calibrated to European Steel

Khaled Muhammad Hosni Sobehy, Lassaad Ben Mahjoub, Sahbi Gabsi

This paper addresses the misalignment between IFRS S2 climate risk disclosures and IAS 36 asset impairment testing. It constructs a framework combining deterministic and stochastic models (Monte Carlo with Merton Jump-Diffusion) to quantify…

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