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.
Showing 3481–3500 of 31535 papers
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This paper proposes a hybrid deep-learning model combining TCN and FEDformer to forecast carbon emission allowance trading prices. Improved price prediction matters for compliance cost planning and investment decisions in emissions trading …
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This paper proposes a three-stage carbon trading price prediction model combining time–frequency decomposition with a hybrid attention mechanism. Tested on Guangdong and Hubei data, it reduces single-step MAE by 1.1–12.9% and MSE by 10.5–13…
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Using panel data of Chinese listed firms (2010–2024) and a multi-period DID model, this study finds that the carbon emissions trading system significantly raises firm total factor productivity. Baseline-based accounting, paid quota allocati…
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A meta-analysis synthesizing evidence on how combining carbon pricing with renewable-energy support policies affects emission reductions and welfare. It systematically assesses policy interactions, overlaps, and synergies across studies. Fi…
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This article analyzes how China localized the global carbon market norm, particularly the EU ETS, into its domestic climate governance using constructivist IR theory and Acharya's norm localization framework. Rather than replicating the Eur…
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Using World Bank and GSIA data (2012-2022), this study tracks carbon pricing revenues, average carbon prices, and sustainable investment totals. It finds a strong temporal correlation: carbon pricing revenues rose from $353M to $1.42B while…
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A PRISMA 2020 systematic review synthesizing 37 peer-reviewed studies (2021-2026) on Carbon Emission Disclosure. Legitimacy Theory dominates, followed by Stakeholder, Agency, and Signaling theories, framing disclosure as a strategic respons…
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A critical review integrating methane mitigation, water management, biochar and yield resilience in rice paddies. Alternate wetting and drying (AWD) is the strongest near-term lever for cutting methane and irrigation demand, though N2O ofte…
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This PRISMA-based review synthesizes literature on Industry 5.0, the 10R circular framework, ESG mandates, and deep decarbonization technologies. It argues that while digital twins and AI optimize energy efficiency, long-term net-zero requi…
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This study presents a hybrid physics-informed machine learning pipeline for NO2 dispersion and short-term forecasting along a high-traffic corridor in Palermo, Italy, using six years of hourly data. Combining COPERT emissions, the SIRANE st…
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This review synthesizes literature on sustainable supply chain management (SSCM), identifying four perspectives—environmental, social, economic, and governance. Key challenges include paradoxical tensions between sustainability and efficien…
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The FairTravel program has worked with India's IT industry since 2021 to cut corporate flying, a major Scope 3 emissions source. Using social-practice theory, it shifts mindset, behavior, and policy together, engaging EU clients on shared S…
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First panel study testing whether ISSB's IFRS S1/S2 adoption affects ESG investment outcomes in 200 Bangladeshi listed firms (2023–2025) using PLS-SEM. Environmental (β=0.441) and social (β=0.586) sustainability investment rise significantl…
(著者不明)
This study examines how CEO narcissism affects the quality of TCFD-aligned climate-related financial disclosure among S&P 1500 firms. Using generative NLP measures across the four TCFD pillars, it finds narcissistic CEOs produce weaker, les…
Taize Yu, Mingxuan Lyu, Ruiling Qu +5
Using an extended STIRPAT model with ridge regression, this study analyzes determinants of EU-27 energy-related carbon emissions (1996–2023), incorporating geopolitical risk and energy transition. Four scenarios show GDP and unemployment po…
Qiuyu Tang, Xinxin Guo, Weijie Tan +1
Using China's Carbon Emission Trading Market as a quasi-natural experiment with a triple-difference design, this paper shows the CETM raises both the volume and portfolio share of core climate mitigation technology (CCMT) innovation, suppor…
Ziqi Zhao, Mingming Jia, Luhe Wan +6
First global-scale assessment of how edge effects in fragmented Ramsar-protected mangroves bias blue carbon estimates. Edge penetration is under 100 m in ~63% of forests, where biomass drops 5.15% on average. Ignoring edges overestimates ca…
Emily A. Ury, Zhen Zhang, Etienne Fluet‐Chouinard +3
Restoring 30% of the world's drained inland peatlands strategically could sequester 0.91±0.17 Pg CO2eq/yr, three times more than random restoration. Prioritizing water quality or flood mitigation still yields 0.34–0.50 Pg CO2eq/yr, showing …
Jianhua Zhang, Salman Abbas, Moniba Sana +2
Using panel data for 61 economies (2002–2024), this study examines how green technological innovation (GTI) affects energy security via copula modeling, method-of-moments quantile regression, and quantile random forest. GTI improves energy …
Fabien Chatelier, Amir Rouhani, Maroua Oueslati +5
This deliverable develops a systemic approach to sustainably implement and scale Nature-based Solutions (NbS) by addressing financial, economic, socio-environmental and institutional dimensions. It reviews existing NbS financing mechanisms …
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