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 781–800 of 4160 papers
Chakraborty S.K.
This note examines the spillover effects of carbon taxes on trade within Europe. It discusses implications for border adjustments and industrial competitiveness, offering insights for policy design.
Sharma R.
This paper examines how the CSRD affects sustainability reporting practices of German companies, analyzing changes in content, process, and assurance. It provides insights into regulatory diffusion, relevant for firms adopting ISSB/SSBJ sta…
Khurram M.U.
This study empirically examines the impact of ESG disclosure on internal pay gaps using Chinese firm data. It suggests that stronger ESG disclosure may promote wage equality within firms, highlighting the social implications of disclosure p…
F. Meng, Yi Xiong, H. Gauch +5
This study develops a bottom-up fleet stock model to project China's passenger vehicle stock, greenhouse gas emissions, energy, and material demand through 2050. Results show stock reaching 360-520 million by 2050, with life-cycle emissions…
Shufang Liu, Haitao Yang, Xingbin Li +6
This paper explores industrial flexible electrolysis as virtual energy storage, integrating hydrogen production, metal extraction, and chemical synthesis to absorb renewable energy fluctuations and support decarbonization. A collaborative C…
Meiqin Jiang, Jinxing Che, Yaoxin Tan +1
This paper proposes CarbonTimer, a large time series model to address data scarcity in carbon price forecasting. It enables accurate predictions with limited data, potentially aiding carbon market risk management and policy formulation.
Xiaobin Wang, Yuning Jiang, Zhihua Zhang +4
This paper proposes a contextual information-based distributionally robust optimization method for decarbonizing oil and gas field power systems. It integrates renewable energy while managing uncertainty, aiming to reduce operational costs …
阁宗岭
This review systematically organizes progress in lithium recovery from retired NCM ternary lithium-ion batteries, analyzing mainstream pyrometallurgy, hydrometallurgy, and direct repair methods, and detailing novel lithium-preferential proc…
Teng Niu, Huaquan Miao
This study evaluates the economic and environmental feasibility of using methane hydrate as an alternative fuel for steam power systems, employing a chance-constrained robust programming approach to support decision-making under uncertainty…
Vlada Konstantinova
This mixed-methods study examines how CSRD affects perceived greenwashing in Finland's energy sector, contrasting views of managers, auditors, and customers. Auditors trust the regulation most, customers least. Technical terminology hinders…
Jilin Zhang, Zhicheng Yao, Wenxu Chen +3
Using panel data on Chinese A-share listed firms and their direct suppliers and customers from 2013-2022, this study finds that a firm's ESG disclosure is positively associated with the average disclosure of its supply chain partners. The p…
Jiangquan He, Ting‐Chi Wen
This dataset provides province- and sector-level estimates of domestic production-based Scope 1 CO2 embodied in China's exports of digital-economy core industries for 2012-2016, 2019, and 2020. It includes interprovincial carbon flows, tran…
Fan Zhang, Bo Wen, Ditao Niu +4
This study integrates life-cycle carbon accounting, statistical analysis, Monte Carlo simulation, and machine learning to assess embodied carbon in RC buildings. Using data from 124 buildings in Shaanxi Province, it finds material productio…
Li Mingliang, Lee Chin, A. S. Abdul Rahim
This review systematically synthesizes empirical studies on the impact of China's carbon emissions trading (CET) on corporate green innovation. Most studies support the Porter Hypothesis, showing CET significantly increases firms' green pat…
Angad Panesar, Elisa Wylie
This study evaluates hythane (20% H2 in methane) fueling in a spark-ignition engine with EGR, showing reduced NOx and over 30% CO2 reduction vs Euro 6 diesel, offering a low-disruption pathway for fleet decarbonization using existing natura…
Murali Krishna Pasupuleti
This monograph presents an integrated research architecture for planetary resilience, combining Earth-system AI, ClimateTech modeling, and sustainable energy intelligence. It covers uncertainty-aware design, physics-guided ML, MLOps, and se…
Tasneem Tawalbeh, Zhanyun Wang, Kathrin Fenner +1
This paper highlights the hazardous chemical risks across the lifecycle of renewable energy technologies, emphasizing the need for improved measurement, transparency, and early consideration of chemical impacts to ensure a sustainable energ…
Ömer Algorabi, Ersin Namlı
This study compares deep learning (GRU) and boosting models for forecasting electricity generation in Türkiye and Germany, then evaluates 2030 BAU, ST, and EC scenarios. GRU performs best for Türkiye, boosting for Germany. Scenario analysis…
Phuoc Hung Thach, Mai Dong Tran, Khanh Huy Nguyen
This bibliometric review maps the intellectual structure of green technology commercialization research, analyzing 259 articles from 1991-2026. It identifies six thematic clusters framing commercialization as an innovation-to-diffusion syst…
Ioannis Papadopoulos, Georgios Tsaousoglou, Johanna Vorwerk
This paper proposes a unified deep reinforcement learning agent for power system operation that balances thermal security and small-signal stability under stochastic load variations. The agent achieves better trade-offs than single-objectiv…
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