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 2161–2180 of 4137 papers

Peer-reviewed🌍 GlobalJournalJournal of global economics, management & business research2026#GreenwashingDOI

Corporate Greenwashing in the ESG Era: Sustainability Claims, Regulatory Challenges, and Investor Risk

Ukamaka Mercy Esomchi, M. Adeoba, Ahunna Eleanor Dike

This review synthesizes multidisciplinary literature on corporate greenwashing, tracing its evolution from early legitimacy-based accounts to contemporary measurement frameworks based on the gap between disclosed and actual environmental pe…

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Peer-reviewed🌍 GlobalJournalJournal of Political Stability Archive2026#AI × ESGDOI

Artificial Intelligence as a Catalyst for Green Finance and Sustainability: Empirical Evidence from Global ESG and Green Bond Markets

Sayyed Sadaqat Hussain Shah, Arshad Javed, Muhammad Mahboob Khan +2

This study examines how AI adoption influences green bond issuance and corporate ESG scores using panel data from 54 economies (2019-2024) and multiple models (fixed-effects, quantile regression, TVP-VAR-SV). It finds that a one-standard-de…

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🇺🇸 USADatasetICPSR Data Holdings2026#Energy TransitionDOI

Data and Code for: Energy Transitions in Regulated Markets

Gautam Gowrisankaran, Ashley Langer, Mar Reguant

This paper models rate-of-return regulation during the US coal-to-gas transition, finding that regulated utilities reduce coal generation 48% less than cost-minimizers under carbon taxes and retire 71% less coal capacity after 30 years, hig…

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Preprint🌍 GlobalarXiv (Cornell University)2026#Energy TransitionDOI

Quantifying Demand Shocks in the Green and Digital Transition

Andrea Bastianin, Luca Rossini, Marco Zoso

Using web search data to construct monthly demand indexes for cobalt, copper, and nickel, this paper applies SVAR models to disentangle supply and demand shocks. Transition demand shocks driven by green and digital technologies have persist…

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Peer-reviewed🇪🇺 EuropeJournalEnergy Economics2025#Carbon PricingDOI

Detecting speculation in the market for EU emission allowances

Terranova R.

This paper proposes a method to detect speculative behavior in the EU Emission Trading System (EU ETS). Using market data, it analyzes signs of speculation and provides implications for regulation and market design.

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