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: #Greenwashing (clear)

Showing 61–80 of 141 papers

Peer-reviewed🌍 GlobalJournalInternational Review of Theoretical Psychologies2026#GreenwashingDOI

The Recuperation of Climate Engagement

Christoph Gaßner, Thomas Slunecko

This paper critically analyzes the carbon tracking app OneClimate, arguing that individual carbon footprint measurement undermines collective climate action and is co-opted by capitalism. The app acts as a 'micro-dispositif' aligning self-g…

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🇺🇸 USAJournalCambridge University Press eBooks2026#GreenwashingDOI

People For Oil

Tim Wood

This book investigates oil industry-sponsored citizen advocacy groups (astroturf) in the US and Canada. Through interviews, it explains why these groups form, why people join, and how they intervene in governance. It reveals that many campa…

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JournalSingapore University of Social Sciences2026#GreenwashingDOI

Are carbon credits a growing 'lemon' problem?

Bing Cheng Ben Chester Cheong

This commentary examines the growing use of carbon credits by companies, highlighting concerns about greenwashing, weak accountability, and the risk of delaying meaningful emissions reductions. It discusses both the potential and limitation…

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Peer-reviewedCNJournalHumanities and Social Sciences Communications2026#GreenwashingDOI

CEO overconfidence and corporate greenwashing: evidence from China

Yueling Luo

This paper empirically investigates how CEO overconfidence drives corporate greenwashing using Chinese firm data. It finds that overconfident CEOs are more likely to exaggerate environmental claims, offering critical insights for investors …

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Peer-reviewed🇪🇺 EuropeJournalSustainability and Climate Change2026#GreenwashingDOI

Climate Litigation and Greenwashing Disputes: Environmental, Social, and Governance Disclosures, European Union Trends, and a Legal Adaptation Framework for Türkiye

Maide Ezgi Düzgün

This paper analyzes the rise of climate litigation and how ESG disclosures serve as evidentiary tools in greenwashing disputes. Using Shell cases in the Netherlands and the UK, it examines judicial limits on duty of care and discusses the l…

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Peer-reviewedJournalInternational Journal of Advanced Research2026#GreenwashingDOI

AUTOMATED VERIFICATION OF BRSR DISCLOSURES: A NEURO-SYMBOLIC NLP PIPELINE FOR OFFLINE GREENWASHING DETECTION, ETHICAL AUDITING, AND GREEN FINANCE INTEGRATION IN INDIA

Samir N Jena, Lala Sibani Chand, Anubhutie Singh

This paper proposes a neuro-symbolic NLP pipeline for automated verification of BRSR disclosures in India. It uses 4-bit quantization for local execution and a deterministic regex layer to filter hallucination, enabling offline greenwashing…

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Peer-reviewedCNJournalCorporate Social Responsibility and Environmental Management2026#GreenwashingDOI

Combating ESG Greenwashing Through AI Models: Evidence From Disaggregated AI Technologies, Mechanisms, and Thresholds

Brahim Bergougui, H. G. Sulimany, Abdulrahman Atllah Alharbi

Using Chinese listed firm data (2012-2022), this study finds that AI language models reduce ESG greenwashing. Machine learning and planning-decision systems have the strongest effects, operating through workforce skill restructuring and per…

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