gxceed
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 21–40 of 110 papers

CN📚 Peer-reviewed · JournalHumanities 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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🇪🇺 Europe📚 Peer-reviewed · JournalSustainability 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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CN📚 Peer-reviewed · JournalAsia‐Pacific Journal of Financial Studies2026#GreenwashingDOI

The Impact of Digital Finance on Corporate Greenwashing: An Analysis from the Perspective of Corporate Financialization*

Jinxian Wang, Jialong Fu, Weizhen Hu

Using a panel dataset of Chinese A-share listed companies from 2011 to 2020, this paper examines the impact of digital finance on corporate greenwashing. The findings show a positive relationship, especially in non-state-owned, loss-making,…

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📚 Peer-reviewed · JournalInternational 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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🌍 Global📚 Peer-reviewed · JournalKarsa: The journal of Social and Islamic Culture2026#GreenwashingDOI

Unraveling Green Extractivism: The Case of Nickel Downstreaming in the Indonesia Morowali Industrial Park

Bintang Corvi Diphda, Reza Triarda

This paper analyzes the nickel downstreaming policy in Indonesia's Morowali Industrial Park (IMIP) through the lens of green extractivism. It shows how climate crisis and energy transition narratives, along with sustainability claims (ESG, …

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📚 Peer-reviewed · JournalRelevan : Jurnal Riset Akuntansi2026#GreenwashingDOI

Dari Transparansi Menuju ESG-Washing: Kajian Literatur Sistematis atas ESG Disclosure dan Financial Statement Fraud

Tryas Chasbiandani, Adam Zakaria, Marsellisa Nindito

This systematic literature review (PRISMA) examines the dual role of ESG disclosure in financial statement fraud: as a monitoring mechanism enhancing transparency and reducing fraud, and as a camouflage mechanism via ESG-washing that can co…

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CN📚 Peer-reviewed · JournalCorporate 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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📚 Peer-reviewed · JournalSustainable Energy Technologies and Assessments2022#GreenwashingDOI

Do ‘green’ data centres really have zero CO2 emissions?

Wang F.

This paper critically examines the 'green' claims of data centers, questioning the effectiveness of renewable energy certificates and carbon offsets in achieving true zero emissions, highlighting issues of additionality and quality.

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📚 Peer-reviewed · JournalEuropean Management Studies2026#GreenwashingDOI

ESG Greenwashing and Ownership Structure under Information Asymmetry

Luu Thu Quang, Nguyen Dang Hai Yen, Vo Thien Trang +1

This paper is the first to investigate how ownership structure influences ESG greenwashing under information asymmetry, using hand-collected data from Vietnamese listed firms (2020-2024). It finds that under high information asymmetry, mana…

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