GX Research Hub · English
GX & Decarbonization Research
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.
Peer-reviewed🇨🇳 ChinaJournalSustainable Energy Technologies and Assessments2026#Energy TransitionDOI
Economic and environmental feasibility of methane hydrate as an alternative fuel for steam power systems: a chance-constrained robust programming approach
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…
Peer-reviewed🇪🇺 EuropeJournalAaltodoc (Aalto University)2026#Greenwashing
The impact of sustainability reporting on the perceived greenwashing in the Finnish energy sector: perspectives of customers, managers, and auditors on Corporate Sustainability Reporting Directive (CSRD)
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…
Peer-reviewed🇨🇳 ChinaJournalInternational Review of Economics & Finance2026#ESGDOI
Corporate ESG Disclosure in Supply Chains: Peer Effects and Relational Conditions of Institutional Influence
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…
🇨🇳 ChinaDatasetMendeley Data2026#Scope 3DOI
Replication Data and Code for “Managing the Domestic Carbon Footprint of China’s Digital Exports: Interprovincial Emission Sources, Responsibility Gaps, and Mitigation Priorities”
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…
Peer-reviewed🇨🇳 ChinaJournalCase Studies in Construction Materials2026#AI × ESGDOI
Statistical Characterization and Prediction of Embodied Carbon in Reinforced Concrete Buildings for Low-Carbon Design
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…
Peer-reviewed🌍 GlobalJournalInternational Journal of Academic Research in Economics and Management Sciences2026#Carbon PricingDOI
China's Carbon Emissions Trading Market and Corporate Green Innovation: A Literature Review of Research Trends, Controversies, and Future Directions
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…
Peer-reviewed🇪🇺 EuropeJournalEnergy Sources Part A Recovery Utilization and Environmental Effects2026#HydrogenDOI
Low disruption hythane fueling for climate and air quality targets
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…
🌍 GlobalJournal2026#AI × ESGDOI
Earth-System AI, ClimateTech Modelling and Sustainable Energy Intelligence for Planetary Resilience
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…
Peer-reviewed🌍 GlobalJournalEnvironmental Science & Technology2026#Energy TransitionDOI
Deciphering the Chemical Footprint of Renewables
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…
Peer-reviewed🌍 GlobalJournalEurasian Econometrics Statistics & Emprical Economics Journal2026#AI × ESGDOI
Forecasting Electricity Generation and Assessing 2030 Energy Transition Scenarios: Evidence from Türkiye and Germany
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…
Peer-reviewed🌍 GlobalJournalSocial Sciences & Humanities Open2026#Energy TransitionDOI
Green technology commercialization: Drivers, barriers, and emerging directions
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…
Preprint🌍 GlobalarXiv2026#Energy Transition
Multi-Objective Deep Reinforcement Learning for Secure and Stable Power System Operation
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…
Peer-reviewed🇺🇸 USAJournalOrganization Studies2026#Climate RiskDOI
Weathering the Storm: Climate Disasters, Organizational Disruption, and Changes in Greenhouse Gas Emissions Intensity
Lorenzo Dal Maso, Rodolphe Durand, Francesco Mazzi +1
Using the AMC framework, this study analyzes 854 U.S. listed firms (2006-2020) to show that natural disasters initially increase GHG emissions intensity, but firms and communities with high motivation and capability can attenuate or reverse…
Peer-reviewedCNJournalJournal of Cleaner Production2026#Energy TransitionDOI
Cost-saving and decarbonization-oriented coordinated optimization for copper metallurgy integrated energy system under material–energy–carbon coupling constraints
Zhao Luo, Zitong Huang, Dewen Liu +11
This paper proposes a coordinated optimization model for an integrated energy system in copper metallurgy, considering material-energy-carbon coupling constraints. It derives operational plans that achieve both cost savings and decarbonizat…
Peer-reviewed🌍 GlobalJournalEnvironmental Challenges2026#Energy TransitionDOI
System-Level Decarbonization of Rice Milling through Solar PV, Biomass, and Electrified Logistics: A Case Study in Thailand
Kanokkon Vorraapinyaporn, Prapita Thanarak, Unchittha Prasatsap +1
This case study analyzes system-level decarbonization of rice milling in Thailand by integrating solar PV, biomass, and electrified logistics. It evaluates emission reductions and economic feasibility, demonstrating potential for decarboniz…
Peer-reviewed🇪🇺 EuropeJournalEnergy2023#Energy TransitionDOI
Assessment of the marginal technologies reacting to demand response events: A French case-study
Biéron M.
This paper assesses the marginal technologies that react to demand response events in the French power system. It analyzes the impact of demand response on grid carbon intensity and operations, offering insights for energy transition polici…
Peer-reviewed🇪🇺 EuropeJournalJournal of Cleaner Production2024#Energy TransitionDOI
Decarbonizing the European energy system in the absence of Russian gas: Hydrogen uptake and carbon capture developments in the power, heat and industry sectors
Durakovic G.
This study analyzes decarbonization pathways for the European energy system under a Russian gas supply disruption, focusing on power, heat, and industry. It highlights the critical role of hydrogen and carbon capture, with industrial demand…
Peer-reviewedCNJournalSystems2025#CCUSDOI
Dynamic Optimal Control Strategy of CCUS Technology Innovation in Coal Power Stations Under Environmental Protection Tax
Su C.
This paper proposes a dynamic optimal control strategy for CCUS technology innovation in coal power stations under an environmental protection tax. It models how the tax influences the timing and scale of technology investment, analyzing th…
Peer-reviewedCNJournalInternational Review of Economics and Finance2026#Climate FinanceDOI
Green regulatory incentives and green bond financing costs: Evidence from China's Green Finance Evaluation Scheme
Zhao X.
This paper empirically analyzes the impact of China's Green Finance Evaluation Scheme on green bond issuance costs. It reveals the mechanism by which regulatory incentives increase investor demand and lower financing costs, demonstrating th…
Peer-reviewedCNJournalFrontiers in Environmental Science2020#Carbon PricingDOI
Impacts of China's Emissions Trading Scheme on the National and Hong Kong Economies: A Dynamic Computable General Equilibrium Analysis
Wang Y.
This paper analyzes the impacts of China's Emissions Trading Scheme (ETS) on the national and Hong Kong economies using a dynamic computable general equilibrium (CGE) model. It quantitatively assesses the effects of carbon pricing on GDP, i…