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 681–700 of 26757 papers
İlknur Gül, Fulya Solmaz, Sezgin Sezgin
This study comparatively analyzes green energy integration in Copenhagen, Reykjavik, and Istanbul to identify success factors for sustainable urban development. It finds that strong local governance, long-term climate targets, renewable inv…
Tanu Agrawal
As firms pursue net-zero goals, coordination on carbon accounting, sustainable sourcing, recycling and green standards becomes necessary, yet competition law has long treated rival cooperation with suspicion. This paper examines how India's…
Yoqubjoni Saivali 1,4*, Ping Fang 1,4, Ziyoev Sohibjon 1,4, Mahmudov Dalerjon 1,
This paper assesses hydropower's role in Central Asia's low-carbon transition across economic, environmental, and social dimensions. The Rogun case shows over 3,600 MW of added capacity could cut Tajikistan's energy deficit by 40% and enabl…
Peter Asare‐Nuamah, Ebo Botchway, Angela Kyerewaa Ayisi-Addo +2
Surveying 535 smallholder food-crop farmers in rural Ghana, this study uses protection motivation and innovation diffusion theory with logistic regression to assess how floods, droughts, rising temperatures and erratic rainfall shape agrofo…
Baxter Williams, Emily A. Grubert
A first-order scoping analysis of temperature-load relationships across the contiguous US argues winter peaks are a hard, underexplored grid design constraint. Residential heating electrification could raise total peak loads by 120–200% (10…
Max Kessler, Robert B. Jackson, Arunava Majumdar +3
This paper addresses the characterization and abatement of dilute methane for climate mitigation. Methane has a high short-term warming potential, making its reduction a priority in decarbonization strategies. Because dilute methane is diff…
Aleksandr Borzunov, Mai ElSayed, Dmitrii Bogdanov +3
A study assessing the system value of offshore renewables and the role of solar PV diversity in Iberia's energy transition. It appears to quantify how diversifying renewable portfolios affects power-system stability and value. Details of me…
AZIZ ABDUL AZIZ
A dataset supporting techno-economic analysis of resilience-constrained PV–battery–diesel hybrid systems on Sumba, Banggi, and Phu Quy islands. It provides HOMER Pro project files and synthetic hourly load profiles across three stages of en…
Nana Aishah Abdurrazzaaq, Jide Oladipo
Using a 450-observation panel of 30 developing economies (2011-2025), this study examines how renewable energy transition, financial development, and financial inclusion affect environmental sustainability. Renewable transition lowers carbo…
Mamoona Bashir, Sivasegaran Nadarajan, Abdul Basit Noor +1
This paper comparatively analyzes Norway's and Russia's National Climate Change Policies in the changing Arctic. Norway prioritizes environmental protection, international cooperation, and sustainable ocean use, while Russia treats melting …
Pyung Kim
Exploiting Korea's parallel ETS and command-and-control (TMS) regimes, this study compares carbon pricing with prescriptive regulation at the firm level. Using difference-in-differences on 2011-2022 panel data, ETS firms cut energy use by 5…
Zeeshan, Mohammad
Scope3Scout is a 16-agent multi-agent platform that automates ESG and CSRD supply chain compliance verification across supplier data. It was a TinyFish Accelerator finalist, offering a concrete example of AI-driven disclosure verification i…
Li, Songyi, Ding, Jiaxin, Liu, Zuming +1
This work releases data and code for co-optimizing coupled electricity and CO2 systems to support decarbonization of China's power sector. It provides a reproducible modeling foundation that jointly handles generation mix and carbon constra…
Houtian Tang, Peng Cheng, Ke Liu +3
Using panel data for 110 cities in China's Yangtze River Economic Belt (2010-2023), this study applies two-way fixed-effects, mediation, and spatial Durbin models to test whether new urbanization (NU) drives green and low-carbon transformat…
Chenxi Zhang, Fei Wei
This paper proposes interfacial reaction network engineering (IRNE) to design oxide-zeolite interfaces for direct CO2 hydrogenation into full-composition e-SAF. Kiloton-scale validation shows high CO2 conversion, high C8+ selectivity, low m…
Tong Liu, Rongrong Li, Qiang Wang
Using a 61-country panel (2000-2023) with fixed-effects, quantile, threshold, and panel VAR models, this study examines how climate risk affects renewable energy development. Climate risk generally inhibits deployment, but effects are asymm…
Yujie Xu, Chengfeng Zhang, Xianrong Zhang +5
Three coupling schemes for a thermal power plant with molten-salt heat storage (TPP-MSHSS) are designed and analyzed for deep peak shaving under high renewable penetration. A bi-level optimization combined strategy is proposed: scheme R3 ac…
Jiaxuan Li, Yanlai Zhou, Chenyun Yang +2
This study proposes a hierarchical control framework for reserve storage capacity (RSC) in pumped-storage power stations to balance hydropower benefit and residual load fluctuation (RLF) under high renewable penetration. Applied to the Heim…
Guangcheng Ma, Liming Ge, Xiangjie Xie
This study evaluates how China's emissions trading scheme (ETS) affects integrated carbon and pollution reduction across the full process. ETS adoption lowers carbon intensity, industrial SO2 intensity, PM2.5, and wastewater discharge while…
Yiyang Luo, Jiameng Ren, Ruichen Wang +4
This study applies a swarm intelligence–optimized Random Forest within an extended STIRPAT framework to attribute provincial carbon-emission drivers across 30 Chinese provinces using 12 indicators. The AOA-selected model achieved R²=0.9784,…
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