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 2981–3000 of 4154 papers

Preprint🇪🇺 EuropeSSRN#Carbon Pricing

The European Union Emissions Trading System: A Review

(著者不明)

This paper reviews the EU ETS, covering its history, design, and effectiveness, analyzing its impact on emissions reduction and economic consequences. It provides a comprehensive assessment of the system's successes and challenges.

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Preprint🌍 GlobalSSRN#Carbon Pricing

Carbon Taxes, Cap-and-Trade, and Green Innovation

(著者不明)

This paper analyzes the impact of carbon taxes and cap-and-trade systems on green innovation. It examines how different policy types differentially affect innovation and suggests optimal policy design.

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Peer-reviewed🌍 GlobalJournalRenewable Energy2026#AI × ESGDOI

Policy pathways to renewable energy affordability: Machine learning evidence on artificial intelligence, carbon pricing, and green finance in advanced economies

Obaid Ullah, BenYan Tan, Ali Zeb +1

This paper applies machine learning to examine how artificial intelligence, carbon pricing, and green finance affect renewable energy affordability in advanced economies. It quantifies the impact of policy interventions and identifies drive…

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Peer-reviewed🌍 GlobalJournalTransactions on Economics, Business and Management Research2026#Carbon PricingDOI

Comparative Effectiveness of Carbon Pricing, Industrial Subsidies, and Innovation Support in Green New Deal Strategies: A Systematic Literature Review

Beichen Chen

This systematic literature review of 147 quantitative studies (1990-2025) compares carbon pricing, industrial subsidies (incl. feed-in tariffs), and public innovation support in Green New Deal frameworks. Carbon pricing achieves the lowest …

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Peer-reviewed🇪🇺 EuropeJournalTechnological and Economic Development of Economy2026#Energy TransitionDOI

Drivers of carbon emissions in the era of artificial intelligence: case of Japan

Lidija Kraujalienė, Atif Yaseen, Saulius Kromalcas +1

This study analyzes the impact of AI, energy consumption, and economic growth on CO2 emissions using Japanese data from 1995-2024. AI and energy consumption increase emissions, while exports decrease them. Recommends shifting to renewables …

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Peer-reviewed🇪🇺 EuropeJournalJournal of Environmental Planning and Management2026#Carbon PricingDOI

Piecing together the puzzle: can policy packaging make carbon pricing work?

Jeroen Barrez, Kris Bachus

This paper examines whether policy packaging (combining carbon pricing with complementary policies) can improve the effectiveness and political feasibility of carbon pricing. It provides insights for designing more acceptable and impactful …

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Peer-reviewed🌍 GlobalJournalGCB Bioenergy2026#Carbon AccountingDOI

Methane Emissions Offsetting With Temporary Carbon Sinks

Hans‐Peter Schmidt, Nikolas Hagemann

This paper develops a time-explicit method for offsetting the warming impact of methane emissions with temporary carbon sinks. It shows that a 20-year CO2 removal can counterbalance the 100-year warming effect of a methane pulse, providing …

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Peer-reviewed🇪🇺 EuropeJournalarXiv (Cornell University)2026#AI × ESG

Emission-Aware Reinforcement Learning for Sustainable Electric Vehicle Charging and Carbon Dioxide Reduction Under Varying Renewable Penetration

Ninglin Ou, Mohammad A. Razzaque, Iftekher Islam Shovon +5

This paper proposes an emission-aware Reinforcement Learning (SAC-based) strategy for EV charging scheduling, incorporating real-time carbon intensity and renewable energy availability. Tested on EV2Gym with EirGrid data, it achieves up to …

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