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 1901–1920 of 4172 papers
Xing Bao, Xu Zhang
This paper constructs a climate risk perception index from Chinese A-share firms' annual reports (2003-2023) and examines its impact on corporate green innovation. Stronger climate risk perception significantly promotes both quality and qua…
Senthil Kumar Srinivasan, S. Jayaraman, B. Sekar +3
This review compares green hydrogen, ammonia, and synthetic e-fuels, integrating advanced monitoring (AI digital twins, SCADA) with LCA. GHG reduction ranges 70-98% depending on electricity carbon intensity and boundaries. Hydrogen suits in…
Haoran Jiang, Huangming Lv, Yu Zhou +1
Under China's dual carbon goals, this study examines whether the Industry-Finance Cooperation Pilot Policy (IFCPP) enhances both quantity and quality of corporate green innovation. Using staggered DID on Chinese A-share listed firms (2012-2…
Cosimo Magazzino, Muhammad Haroon, Nawal Abdalla Adam
Using provincial panel data from 30 Chinese regions (2000-2020), this study examines how green finance (GF) affects renewable energy innovation. Employing VAR, GMM, and DID methods, it finds a strong positive effect (β=2.08) of GF availabil…
Zewen Ge, Jihui Liu, Shuai-hui Yuan +1
This review synthesizes evidence on five supply-side constraints slowing net-zero buildouts (permitting, capital intensity, critical minerals, social contestation, modeling) and argues that service-based sufficiency (Avoid-Shift-Improve) ca…
Na Li, Binod Koirala
This study presents a techno-economic assessment of a regulation-compliant local electricity community (LEC) in Switzerland, comparing a reference case without local exchange to an LEC with internal sharing. Results show that LEC participat…
Wen Jiang, Anxu Wang, Min Tao +2
This study constructs a tripartite evolutionary game model of government, suppliers, and manufacturers in the construction supply chain to analyze low-carbon transformation. Findings show that government subsidies have a nonlinear threshold…
Nabeela Ehsan
This study examines whether AI-driven ESG compliance monitoring reduces corporate sustainability risk using panel data from 320 listed firms (2016-2024). GLS regression shows AI monitoring significantly lowers risk (coefficient -6.84), and …
Yuhua Zhang, Mingxuan Zhang
This study proposes a two-layer optimal scheduling method for park integrated energy systems (PIESs) that integrates life-cycle stepwise carbon trading and low-carbon demand response (LCDR). It incorporates embodied carbon from new energy e…
Monica Singhania, Deepika Swami
This meta-analysis synthesizes 50 studies (2011-2024) across 15 countries to examine the ESG-cost of equity (CoE) relationship. It finds a positive association, which is weakened in countries with strong governance and high sustainability c…
Jiehui Chen, Dexing Sun, Feiwei Li +4
This paper proposes a dynamic multi-objective optimization framework for industrial electricity consumption, integrating high-precision load forecasting and optimal scheduling. An improved LSTM model (DGO-TA-LSTM) is used for forecasting, a…
Hind Alofaysan, Kamel Si Mohammed, Eman Alanzi +2
This study examines how fluctuations in Germany's renewable energy sector (solar, wind, renewable fuels) affect the ESG-Related Uncertainty Index (ESGUI-G) using wavelet quantile-on-quantile regression (WQQR) from June 2008 to 2025. Results…
Shangli Shi, Yun Hang Hu
This annual review summarizes CCUS progress in 2025. CO2 concentration growth slowed, but anthropogenic emissions rose. Frequent natural disasters underscored climate urgency, intensifying global CCUS deployment. Publications increased 18.5…
Albert Tan
This paper argues that ESG disclosure reliability is an institutional outcome, proposing a channel-based framework with four elements: legal vehicle, actors, procedural pathways, and sanctions. It operationalizes a 0-2 Accountability Channe…
Heng Zhao, Olayinka Moses, Muhammad Nurul Houqe +1
This study examines whether greenwashing (divergence between ESG disclosure and realized performance) is associated with aggressive tax avoidance, using a panel of S&P 500 non-financial firms from 2002-2022. Constructing a Greenwashing Inde…
Akihisa Mori
This study investigates the mechanisms between green loans, digitalization, and banks' sustainable business model innovations (SBMIs) in Chinese banks using statistical analysis and multiple case studies. It finds that green loans triggered…
Santosh Kumar, Neha Gupta, Swarnima Gorani
This paper discusses the importance of policy frameworks and incentive design for applying AI in green finance. It argues that without proper governance, risks such as algorithmic discrimination and data bias could undermine social goals, a…
Weili Yue, Yasir Rasool
This study analyzes the impact of circular economy (CE) practices on CO2 emissions using panel data from European countries (2000-2022). Results show CE significantly reduces emissions, but its effect is smaller than that of green energy (G…
Yahaya, Onipe Adabenege
This study examines the relationship between ESG disclosure quality and analyst forecast accuracy for 148 Nigerian listed firms from 2011-2025. Using a composite disclosure index based on GRI and NGX guidelines, panel regressions show that …
Monica Canepa
This paper proposes an explainable multi-criteria decision framework for maritime and port decarbonization, integrating AHP, TOPSIS, and SHAP. It incorporates cyber-physical security as a core criterion and is validated with real-world data…
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