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 13661–13680 of 34388 papers

PreprintZenodo2026#Energy TransitionDOI

GREEN TRANSITION IN HANOI'S URBAN TRANSPORT

Nguyen Nhu Trang, Vu The Vu, Bui Thi Quynh Anh, Tran Thi Ngoc Linh

This study analyzes Hanoi's urban transport, revealing a mismatch between infrastructure and private vehicle growth. ICE vehicles are a major GHG source, hindering Vietnam's net-zero goal. It proposes a dual strategy: developing multimodal …

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Peer-reviewedJournalCorporate Social Responsibility and Environmental Management2026#AI × ESGDOI

Beyond Symbolism: Examining the Impact of Sustainable Finance on Product Responsibility and the Moderating Role of Board Environmental Expertise—Evidence From UK Non‐Financial Firms

B. Gyamfi, Richard Arhinful, Leviticus Mensah +2

Using data from 143 UK non-financial firms (2008-2024), this study applies CS-ARDL, FGLS, and GMM to show that sustainable finance (environmental expenditures, emission reduction policies, green bond issuance) positively impacts product res…

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Preprint🇺🇸 USAEnergy & Environment2025#Energy TransitionDOI

Financial development, natural resources, and green technologies in the U.S.: A wavelet coherence and frequency-domain causality analysis

Madad Ali, Rana Zain Ul Abidin, Rabia Qammar +3

Using U.S. data from 1970-2021, this study applies wavelet coherence and frequency-domain causality to examine dynamic linkages among financial development, natural resources, green technologies, trade openness, and economic growth. Finding…

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PreprintCrossref2025#Energy TransitionDOI

Endüstride Yeşil Dönüşüm

(著者不明)

This book treats green transformation and circular economy as strategic necessities in response to global challenges like climate crisis and resource efficiency, analyzing industry, energy, transport, agriculture, and finance. It examines t…

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Preprint2026#Climate FinanceDOI

Impact Of Green Finance On Environment Sustainability

S. Prasanna Kumar, Hari Hara Sudhan, Abdul Ajeez.

This paper examines the impact of green finance on sustainable growth in India, analyzing the expansion of green bonds and sustainable debt instruments. It finds steady growth in green finance, financing renewable energy and clean transport…

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Peer-reviewedJournalShodh Sari-An International Multidisciplinary Journal2026#Climate FinanceDOI

Synergizing Impact Investing, Green Finance, and the Circular Economy: An Empirical Agenda for Sustainable Capital Mobilization and Resource Efficiency in India

Swati Agarwal, V. Goyal

This paper analyzes how impact investing, green finance, and circular economy interact to drive sustainable development. Drawing on India's recent policy shifts such as SEBI's BRSR Core disclosure standards, Eco-mark Rules 2024, and draft C…

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Preprint🇪🇺 EuropeZenodo2026#PolicyDOI

Policy Analysis

Dirzka, Christopher

This report analyzes the coherence of the FuelEU Maritime Regulation with related EU policies (ETS, AFIR, RED III) and identifies structural challenges for maritime decarbonization. A hydrogen supply gap constrains e-fuel availability, maki…

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Peer-reviewedCNJournalInternational journal of computer information systems and industrial management applications2026#AI × ESGDOI

Research on the Sustainable Development Path of Green Finance Reform on Low-Carbon Transition of Enterprises Based on Multilayer Perceptual Machine Algorithm

Nanlan Du

This paper empirically analyzes the impact of green finance policies on corporate low-carbon transition in China using a multilayer perceptron (MLP) algorithm and difference-in-differences (DID) method. Using panel data from 30 provinces fr…

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