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: #Carbon Pricing (clear)

Showing 81–100 of 1606 papers

Peer-reviewedConferenceSist 2026 2026 IEEE 6th International Conference on Smart Information Systems and Technologies Conference Proceedings2026#Carbon PricingDOI

Ets Models and Financial-Macroeconomic Dynamics of a Country in the Context of Sustainable Development and Climate Transition

Onyshchenko A.

This paper analyzes the interaction between emissions trading systems (ETS) and a country's financial-macroeconomic dynamics within the context of sustainable development and climate transition. It models the economy-wide impacts of ETS and…

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Peer-reviewedJournalInternational Journal of Research Publication and Reviews2026#Carbon PricingDOI

Carbon Markets as Corporate Regulation: Accountability, Enforcement and Greenwashing Risks under India's Carbon Credit Trading Scheme

Divyanshu Sharma, Satyam Sharma

Analyzes India's Carbon Credit Trading Scheme (CCTS) as market-based corporate regulation. Identifies fragmentation of duties, intensity-based targets, verification conflicts of interest, registry opacity, and overbroad net-zero claims. Pro…

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Peer-reviewedJournalSustainable Development Insights2026#Carbon PricingDOI

The Impact of Participation in Carbon Trading and Carbon Management Strategies on Emissions Reduction Performance and Financial Performance at Energy Companies in Indonesia

Ari Purwanti, Junet Kaswoto, Dahlia Tri Anggraini +3

This study analyzes 55 Indonesian energy companies using PLS-SEM, finding that both carbon trading participation and carbon management strategies positively affect emissions reduction and financial performance. Emissions reduction also impr…

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Peer-reviewed🇺🇸 USAJournalRangeland Ecology & Management2026#Carbon PricingDOI

Factors Affecting Ranchers’ Willingness to Join the Carbon Market

Nicole M. Nimlos, Christopher Bastian, John Derek Scasta

Survey of 506 ranchers in the US Front Range and Great Plains reveals that conservation easements, prior conservation program participation, perceived community support, and lack of knowledge increase willingness to join carbon markets, whi…

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Peer-reviewed🇯🇵→🌍 Japan-to-Global🇯🇵 JapanJournalJ-STAGE#Carbon PricingDOI

Potential of J-Credit Scheme and ICT in Extended Mid-Summer Drainage of Paddy Fields

水田中干し延長におけるJ-クレジット制度およびICTの活用可能性

(著者不明)

This study explores the potential of using the J-Credit scheme to certify methane emission reductions from extended mid-summer drainage in paddy fields, combined with ICT-based monitoring and management. It suggests a pathway for carbon cre…

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ReportAgroforestry for Monetising Carbon Credits2025#Carbon PricingDOI

Climate Change and Carbon Emission Trading

Nungula E.Z.

This paper provides an overview of carbon emission trading as a response to climate change. It discusses the mechanisms and economic implications of emissions trading, and considers its effectiveness as a policy tool. It likely lacks specif…

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Peer-reviewed🌍 GlobalJournalJournal of Economic Development Innovation and Policy2026#Carbon PricingDOI

Adaptive Green Subsidy Design Under Carbon Border Adjustments—A Stochastic Stackelberg Differential Game with Bayesian Learning About Foreign Compliance Standards, with Application to Indian Manufacturing Exports

Janardan Behera

This paper analyzes how a government in an exporting economy should design green subsidies when facing the EU's Carbon Border Adjustment Mechanism (CBAM). Using a stochastic Stackelberg differential game with Bayesian learning about the for…

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