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 1821–1840 of 4172 papers
Xinyue Wang, Yuhui Sun, Yi Lu +8
This review synthesizes progress in electrochemical technologies for deep decarbonization, covering water electrolysis, fuel cells, batteries, and CO2 reduction. It emphasizes catalyst design, interfacial control, and reactor integration to…
Ariela Caglio, Xi Chen, Gaia Melloni
This paper empirically examines the relationship between ESG pay features (incorporating ESG metrics into executive compensation) and firm value among international adopters of integrated reporting. It investigates whether ESG-linked compen…
Di Fan, Ke Wang, Chuanhui Wei +1
This study provides a high-resolution assessment of wind- and solar-powered green ammonia production in China, identifying cost-optimal siting under land-use constraints. It quantifies the potential and cost of green ammonia, highlighting i…
Marco Aurélio dos Santos Bernardes
This study introduces Adaptive Energy Stations (AESs) that integrate marginal grid emissions, fuel life-cycle carbon intensities, wholesale prices, and vehicle constraints into station-level dispatch optimization. A one-week winter CAISO pr…
Yao Liu, Wenbo Ma
This study analyzes the impact of trade liberalization and green supply chains on economic growth and energy transition using Chinese data. Combining regression and qualitative analysis, it finds a weak negative correlation between trade li…
Anh Bui-Tuyet, Nhat Duy Lai, Quyen Hua-Thi-Ngoc
AI has a dual role in energy transition: productivity gains in heavy industry reduce energy intensity, while data centers surge electricity demand. Using a 23-sector CGE model for Vietnam through 2035, Green AI boosts GDP by +1.79%, while B…
Apollo Tutesigensi
This paper proposes three innovative ideas for reducing CO2 emissions at construction sites/compounds: making sites prosumers of renewable energy, adopting CO2 emissions analysis for construction sites (CEAfCS), and incorporating CEAfCS met…
Kern J, Gondrf C, Abdelshafy A +1
This study evaluates European steel decarbonization pathways using a spatially and temporally explicit TEA-LCA framework. It compares conventional BF-BOF, BF-BOF-CCS, and DRI-EAF routes (NG or H2) with optional biochar across all EU product…
Hussain K. Alagele, Nagham Hussein Neama
This study analyzes the impacts of economic, ESG, and AI factors on energy transition in three OECD countries via skills enhancement, using CS-ARDL on 2022-2026 panel data. Economic factors negatively impact transition, but skills enhanceme…
Guoqun Ma, Zhiyu Qin, Lihao Yao +1
Using China's major grain-producing areas designation as a quasi-natural experiment, this study employs DID and double machine learning to show the policy significantly reduces agricultural carbon emissions and pollution, with crop structur…
Wei Zhang, J.C. Connor
This special issue examines the economics of GHG mitigation in agriculture, focusing on incentive design, economic benefits, and behavioral responses of producers and consumers. Covering diverse countries and policy contexts, it shows that …
Behnam Zakeri, Kavita Surana, Julian David Hunt +2
This paper argues that the surge in data center electricity demand can be turned into an opportunity by pairing AI growth with rapid energy storage deployment. Storage reduces peak grid imports, improves renewable matching, and enhances pow…
Twongyere B
This review synthesizes evidence on anaerobic digestate as a soil amendment, covering crop production, soil ecology, GHG emissions, nutrient losses, and contaminants. It concludes that digestate's value is system-specific, not universal, an…
Xiao Xiao, Miaomiao Zhang, Yueyi Wei +1
This study proposes a green innovation framework combining permissioned blockchain with adaptive monitoring to reduce waste and decarbonize food supply chains. A 12-month pilot in a Chinese dairy supply chain reduced data transmission by 90…
Pothin, Florian
This replication package provides code and derived results for a study linking SBTi commitments to CDP disclosures. Using staggered difference-in-differences, it finds that voluntary climate pledges broaden what firms measure (especially Sc…
Ikhlas Laasri, Vaibhav Shrivastava
This review examines the 'Biostimulants 4.0' paradigm, converting agro-industrial waste into high-value biostimulants via nanotechnology and AI. Green extraction methods like enzymatic hydrolysis cut carbon emissions by up to 23.2 times vs.…
Stamatios K. Chrysikopoulos, Panos Chountalas, Αλεξάνδρα Αλεξανδροπούλου +1
This study examines double materiality disclosure structures during early CSRD/ESRS implementation, analyzing 2024 sustainability statements from seven European oil and gas companies. Using qualitative content analysis, it finds impact-rela…
Mei Tao, Hongchen Liu
This paper proposes a multi-objective optimization method for runway-taxiway systems to enhance airport surface sustainability. Integrating CTOT compliance, taxiing time, and runway workload balance, the hybrid SSA-SCA-NSGA-II algorithm is …
THAMIRES MARTINHO PRADOS, Leda Maria Saragiotto Colpini, GIANCARLO ALFONSO LOVÓN-CANCHUMANI
This study conducts a life-cycle assessment of Nd-Fe-B magnets in Brazil, quantifying environmental impacts across mining, refining, and manufacturing stages. It identifies roasting in mining and machining in manufacturing as hotspots, and …
Katharine Dickson
Enteric fermentation is the second-largest US methane source. This policy brief proposes a three-part federal strategy: R&D funding for mitigation technologies, coupling carbon pricing with technology subsidies, and redirecting livestock su…
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