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 3621–3640 of 31536 papers
(著者不明)
This legal study analyzes how fragmented ministries and overlapping licensing hinder Indonesia's green investment and NZE goals. Integrating the Green Constitution and Prophetic Law, it proposes a one-gate licensing system and omnibus law a…
(著者不明)
A meta-analysis comparing two feed additives for reducing enteric methane in ruminant livestock. 3-NOP consistently cuts CH4 by ~30% with a favorable safety and regulatory profile, making it scalable. Asparagopsis can reduce methane by over…
(著者不明)
A modular decision system fuses heterogeneous supply-chain data, applies two-stage emission estimation with time-series residual correction, and solves constrained multi-objective optimization for carbon strategy. On 21,000+ enterprise even…
Lin Wang, Boyang Zhuang, Fang Li +5
Using government data and pyrolysis experiments, this study estimates that Hangzhou's 691,472 roadway trees could sequester ~2,273 t C (8,334 t CO2) annually via leaf biochar at 300°C. It introduces a Leaf-derived Biochar Carbon Sequestrati…
Bo Yang, Guo Zhou, Lin Jiang
This review surveys key technologies for novel power systems amid rising renewable penetration, spanning optimal scheduling to intelligent operation and maintenance. It highlights new challenges such as low-inertia operation and relay prote…
Yixin Pu, Yuxiao Ren, Yating Chen +1
Combining 30 m land-cover maps (2010-2025) with provincial statistics, this study quantifies land-use transitions and carbon emissions across nine Yellow River Basin provinces. Construction land grew 38.87%, and net land-use emissions rose …
Soma Sugano, Masahisa Ishii, Ryota Tsuchiya +4
First full-scale parallel field comparison of a Net Zero Energy Greenhouse (ZEG) versus a conventional greenhouse under identical conditions for commercial strawberry cultivation in Japan. The ZEG, using a groundwater-source heat pump, doub…
Xiangran Bu
This review compares the full CCS chain (capture, transport, storage) across thermal power, cement, and steel, plus BECCS as a negative-emission option. It finds that differing production processes and emission mechanisms mean no single CCS…
Jianquan Guo, Xuning Zhao, He Cheng
Using a two-way fixed effects model across 41 countries (2000–2023), this paper examines how geopolitical risk (GPR) and economic complexity (ECI) affect ecological footprints (EF), with governance quality (GQ) as a moderator. GPR, ECI, and…
Fang Xu, Jianhua Wang, Kangye Tan
This study measures agro-environmental synergy efficiency across 329 Chinese cities, decomposing its dynamics over time and identifying structural drivers. It maps spatiotemporal disparities and quantifies which factors improve or hinder th…
Jingsong Chen, Yanxu Liu, Nan Lu +2
This study shows that grassland conservation is more cost-effective than restoration for climate mitigation on the Qinghai-Tibetan Plateau. It provides empirical evidence supporting conservation-first investment in carbon sequestration and …
Wenfei Song, Juanwei Li
Using panel data from 30 Chinese provinces (2011–2022), this study examines direct, mediating, and nonlinear effects of digital economy development on energy efficiency via IV estimation, mediation analysis, and threshold regression. Digita…
Vladyslav Bato, Ján Hrinko
The EU's Digital Product Passport under ESPR, designed to enable circularity, legally operates as a market-access condition reaching non-EU suppliers. For textiles, 49 batch-level data points cascade upstream via private contracts. The pape…
Eleni F. Tsantsani, Kosmas G. Kosmidis, Leonidas L. Fragidis +1
This paper proposes an Artificial Neural Network (ANN) model using the Levenberg–Marquardt algorithm to predict ESG scores from financial data, evaluated on S&P 500 firms with two rating agency datasets, outperforming prior work. It also in…
Aarush Agarwal, Deepti Mehrotra, Renuka Nagpal +1
This paper applies the best–worst method (BWM), a multi-criteria decision-making technique, to data-driven ESG scoring for sustainable portfolio management. It offers a quantitative framework for weighting ESG criteria and integrating them …
Miranda Nanti, Dheo Rimbano, Dian Wulan Sari
Using panel regression on 7 Indonesian state-owned enterprises listed on the IDX, this study examines how sustainability report disclosure (economic, social, environmental) affects earnings management, with profitability (ROA) as a moderato…
Evi Bintang Marlina Hutapea, Sofie
Using panel regression and Sobel tests on Indonesian-listed manufacturers (2020-2024), this study finds sustainability reporting significantly raises firm value and lowers cost of capital. Cost of capital significantly mediates the reportin…
The PLOS One Editors
This editorial note explores using AI to analyze CEO strategy narratives in sustainable management reports and incorporate them into corporate performance prediction. It bridges non-financial sustainability disclosure text with quantitative…
Gökhan Göksu
A complete reproduction package for a study of Turkey's transition to IFRS S1/S2-aligned sustainability reporting standards. It includes 32 PowerShell scripts, 20 derived datasets, a coding manual, and an adjudication report, allowing full …
Bamidele Egbita Adejo, Audu Friday
This study examines how sustainability reporting affects firm value among 16 quoted Nigerian consumer goods firms (2015-2025). Environmental and social reporting show significant negative effects on share price, while governance reporting h…
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