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 901–920 of 33283 papers
Kainat, Sidra Mariyam, Aneesa Ajmal +1
This paper examines the economics of green hydrogen in hard-to-abate sectors such as steel, fertilizer, chemicals, shipping, aviation, and long-duration storage. Drawing on IEA, IRENA, IPCC, and World Bank data, it identifies high productio…
F. Lezama, Fábio Castro, T. D. de Lima +1
This paper develops an optimization framework for energy communities that incorporates time-varying grid emission factors. Comparing cost-minimizing and emissions-minimizing objectives under identical constraints with optional P2P trading, …
Luo-Quan Wang, Dan-Hao Wang, Hui-Rong Zhao +1
Proposes an optimization method for electric-gas-hydrogen coupled industrial parks that traces energy and carbon flows in an integrated manner. It aims at low-carbon, cost-effective operation by making carbon flows visible across a multi-en…
Xiao Li, Li-Wei Zhu, Wei Zhou +1
This study uses a system dynamics model to analyze how carbon trading prices affect the adoption of electric logistics vehicles. It dynamically assesses how carbon price levels and volatility shape logistics operators' incentives to switch …
P. Yang, B. T. H. Lim, B. Oo
This study proposes a conceptual framework for understanding stakeholder adoption of an LCA-based emissions trading scheme in the Australian construction sector. Integrating institutional theory, the Technology Acceptance Model, and stakeho…
H. Wilting, Daan In 't Veld, Alexandra Marques +1
This study applies production layer decomposition to biodiversity footprints for the first time, quantifying Dutch consumption's global biodiversity loss in Mean Species Abundance terms. Of 16 million MSA-loss·ha·yr in 2015, 59% originated …
Chuwan Xu, Jiahui Yan, Junyao Wang +7
The study builds a unified thermodynamic model for solid (S-DAC) and liquid (L-DAC) direct air capture, combining LCA and emergy analysis into a Sustainability Composite Index (SCI). S-DAC scores higher (0.823) than L-DAC (0.759), with trad…
Liu He, 邹佰峰, Xing Chiang
Using a balanced 1996–2026 panel, the study finds σ-, γ-, and spatial β-convergence in renewable energy consumption. Higher geopolitical risk is significantly associated with slower conditional spatial β-convergence (LnGPR = 0.014, p < 0.05…
Xiaoli Yang, Rongrong Li, Qiang Wang
Using the IGT decoupling model and a three-stage DEA (Super-EBM, GML index) across 35 OECD countries (1995–2023), the study finds a shift from relative to absolute decoupling and improving low-carbon transition performance. Population scale…
Abdul Nafay Sajid, Zahra Batool, George Nyantakyi
Using a 2015–2024 panel of 6,650 EU non-financial firm-years, this study finds renewable energy use significantly lowers carbon-emission intensity. Energy intensity mediates the effect, and CSR committees strengthen it. Effects are stronger…
Wenqi Zhao, Mengfan He
Exploiting staggered entry of food-delivery and ride-hailing platforms across 280 Chinese cities (2008–2023), this study finds platform entry raises the urban energy transition index by about 3%, with larger gains in current energy-system p…
Rabia Akram, Hafiz Muhammad Naveed, Muhammad Usman Anwer +4
Using quarterly-decomposed data (ICEEMDAN) for 15 RCEP economies (2000–2024), the study benchmarks 15 neural/deep-learning models to predict CO2 emissions; an RBF network performed best (MAE 0.028, RMSE 0.040). SHAP analysis shows patents a…
Mo Bi
Using the Thornthwaite Memorial model with trend, correlation, and econometric analyses, this study examines spatiotemporal patterns and drivers of climate potential productivity (CPP) across Africa. CPP declined over 1901–2019 and is highl…
Masood Karamoozian, Hong Zhang, Aminreza Karamoozian +1
An AI-assisted framework integrates PCM-embedded clay bricks into modular walls for net-zero buildings. A PINN surrogate plus genetic algorithm re-optimizes PCM melting point, loading and placement per climate zone, evaluated via EnergyPlus…
Md. Shahriya Mannan, Sharmin Akter, Md. Kamrul Hassan Tuhin +1
This critical narrative review examines corporate sustainability reporting in developing and emerging economies, assessing determinants, regulatory effects, credibility, and the impact of global baseline standards. Firm size, industry sensi…
Jovita Nkechinyere Ezeji
Using 117 firm-year observations from 9 Nigerian listed industrial goods firms (2012-2024), this study tests the effect of social sustainability reporting (SSR) on economic value added (EVA) via panel random-effects regression. SSR shows a …
Andin Dewi Nisaulah Azizah, Delvita Sari, Muhammad Hatta Mawardi +1
Using 85 observations from 17 Indonesian food & beverage listed firms (2021–2025), this study regresses firm value (PBV) on sustainability report disclosure (SRDI), intellectual capital (VAIC), and investment decisions (asset growth). Susta…
Nataliia Pozniakovska, Bondar Mykola, Olena Tsiatkovska +3
This study positions narrative reporting as an independent accountability concept and builds a framework for civil society organizations. Combining bibliometric analysis of 380 Dimensions-indexed publications, a review of the IFR4NPO/INPAS …
Andreas Errikos Delegkos, Evangelia Arsenou, Dionisis Cavouras +2
Using Ohlson's framework, this study combines panel econometrics with Random Forest to assess value relevance of ESG and innovation disclosures in European non-financial firms. Social-governance and environmental innovation show no linear l…
TUSHAR K
A comparative case study of Rio Tinto and Anglo American examining how ESG disclosure relates to sustainable-investing signals and financial performance. It explores the channels through which sustainability disclosure is reflected in firm …
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