GX Research Hub · English
GX & Decarbonization Research
This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open 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-reviewedJournalUtilities Policy2026#Energy TransitionDOI
Policy assessment platform for the colombian electricity transition by 2050
Farikc Y. Palacios, Enrique Ángel Sanint, Jorge Andrick Parra Valencia +1
This paper presents a policy assessment platform for Colombia's electricity transition to 2050. It models energy mix, emissions, and costs, providing scenario analysis for policymakers. The platform evaluates renewable integration and fossi…
Peer-reviewed🌍 GlobalJournalSustainable Futures2026#Energy TransitionDOI
Dynamic system analysis of key indicators for Green and Climate-Smart Mining (GCSM) within a sustainable governance framework: A focus on the cobalt value chain
Hamid Sarkheil
This study uses system dynamics modeling to analyze 15 indicators for Green and Climate-Smart Mining (GCSM) focusing on the cobalt value chain. Simulation results project a 5.5–6 fold improvement in mining governance by 2030 under integrate…
Peer-reviewedJournalEnergy2026#HydrogenDOI
Accelerating the green transition in public transportation: A game-theoretic analysis of government policy interventions for fuel cell electric bus adoption
Sahar Ajrian, Soroush Safarzadeh
This study uses game theory to analyze how government policy interventions (subsidies, regulations) affect the adoption of fuel cell electric buses in public transportation. It identifies optimal policy designs to accelerate the green trans…
Peer-reviewed🌍 GlobalJournalAstin Bulletin2026#Climate RiskDOI
Dynamic Financial Analysis (DFA) of general insurers under climate change
Benjamin Avanzi, Yanfeng Li, Greg Taylor +1
This paper extends the traditional Dynamic Financial Analysis (DFA) for general insurers to incorporate climate change risks, covering both physical and economic dimensions across scenarios. Using Australian data, the empirical study shows …
Peer-reviewedCNJournalSustainability2026#AI × ESGDOI
Climate Risk, CEO Risk Preference, and Corporate Greenwashing in High-Emission Industry: A Debiased Machine Learning Approach
Shijie Ma, Jingzhi Hou, Haoran Niu +1
Using a debiased machine learning framework and causal forest analysis on Chinese high-emission listed firms (2009–2024), this study reveals a 'threshold-trigger' mechanism: once climate pressures exceed firm endurance, companies shift to s…
Peer-reviewedJournalWaste Management & Research The Journal for a Sustainable Circular Economy2026#Energy TransitionDOI
A review on bridging the energy-waste Academy of Scientific and Innovative Resenexus: The role of refuse-derived fuel in sustainable energy transitions in India
Ateeb Hamdan, Shivani Bagade, Fathimathul Sabna +3
This critical review examines refuse-derived fuel (RDF) from municipal solid waste as a solution for India's waste and energy challenges. It evaluates technological, regulatory, and economic factors, finding that RDF can reduce GHG emission…
Peer-reviewedJournalEnvironmental Research2026#CCUSDOI
Mesoporous topology-regulated plasma-catalytic CH4-CO2 reforming for greenhouse gas valorization
Tian Chang, Zhao Yang, Xuanchen Chang +4
This study investigates plasma-catalytic dry reforming of CH4 and CO2 using mesoporous catalysts with controlled topology. The process converts greenhouse gases into valuable syngas, supporting carbon utilization. The role of catalyst pore …
Peer-reviewedJournalApplied Mathematical Modelling2026#AI × ESGDOI
Spatiotemporal Fractional Graph-based Grey Model for Greenhouse Gas Emission Forecasting
Xiaolong Zhang, Congjun Rao, Abdulrahman Almandeel +2
This paper proposes a spatiotemporal graph-based grey model incorporating fractional calculus to improve greenhouse gas emission forecasting, potentially outperforming traditional methods.
Peer-reviewedCNJournalPhysics and Chemistry of the Earth, Parts A/B/C2026#Climate ScienceDOI
Heterogeneous nexus between net primary productivity and land use change towards carbon neutrality: satellite-based investigation across Chinese cities
Chong Xu, Jianda Li, Jiandong Chen +2
This study analyzes the relationship between net primary productivity (NPP) and land use change across Chinese cities using satellite data, aiming to support carbon neutrality goals. The findings reveal heterogeneous effects, offering insig…
Peer-reviewedJournalEnvironmental Technology & Innovation2026#Energy TransitionDOI
Toward the Decarbonization of Industrial Drying Technologies: Cross-Sector sustainability, economics and efficiency integrated assessments with emphasis on the wood and paper Industries
José Luis Ares-Sainz, Ana Arias, Gumersindo Feijoo +1
This paper presents a cross-sector integrated assessment of sustainability, economic viability, and efficiency for decarbonizing industrial drying technologies, with a focus on wood and paper industries. It analyzes environmental impact red…
Peer-reviewedJournalEngineering, Technology & Applied Science Research2026#PolicyDOI
Modeling Thailand's Municipal Solid Waste Decarbonization: A System Dynamics Approach to Aligning MSW Management with NDC 3.0 and Net Zero 2050 Goals
Nattarat Phaingam, Phairat Usubharatana, Harnpon Phungrassami
This study applies a System Dynamics model to simulate GHG emissions from municipal solid waste in Thailand through 2050, incorporating tourism demand shocks and post-COVID recovery. Four scenarios are evaluated: Baseline Dynamic, National …
Peer-reviewedJournalSustainable Cities and Society2026#AI × ESGDOI
Precision governance for urban decarbonization: Decoupling passenger and freight transport emissions by integrating explainable AI and clustering
Feng Gao, Maoying Deng, Xingdong Deng +6
This paper proposes a framework integrating explainable AI and clustering to decouple passenger and freight transport emissions in urban areas. It enables precision governance by identifying distinct emission patterns, supporting targeted d…
Peer-reviewedJournalRenewable Energy2026#Energy TransitionDOI
Electricity market mechanism with contribution metric based on Stackelberg game considering fairness and decarbonization
Haotian Gan, Yunting Yao, Xingshuo Li +2
This paper proposes an electricity market mechanism using a contribution metric based on Stackelberg game, incorporating fairness and decarbonization. It aims to facilitate renewable energy integration and carbon emission reduction.
Peer-reviewed🇨🇳 ChinaJournalEnergies2026#Energy TransitionDOI
Industrial Structure, Green Finance, and Energy Resilience Enhancement in China
Qiuyao Fu
Using Chinese provincial panel data, this study empirically examines how industrial structure and green finance affect energy resilience. It finds that green finance enhances energy resilience partly by optimizing energy consumption structu…
Peer-reviewed🇨🇳 ChinaJournalSustainability2026#Carbon PricingDOI
The Spatiotemporal Evolution of Carbon Dioxide Emission Reduction Costs in China’s Industrial Sector and Its Influencing Factors: Evidence Based on DDF and SBM Methods
Shaohui Zou, Shen Kong
This study uses DDF and SBM methods to analyze the spatiotemporal evolution of marginal CO2 abatement costs in China's industrial sector. Using provincial panel data from 2010 to 2022, it finds that abatement costs have increased and show s…
Peer-reviewed🇨🇳 ChinaJournalEnergy Sources Part B Economics Planning and Policy2026#AI × ESGDOI
Predictive linkages between carbon markets and coking coal futures: a hybrid forecasting framework and market efficiency implications
Zhuokai Zhou, Sizhuo Wang
This study uses a hybrid forecasting framework incorporating machine learning to analyze predictive linkages between carbon markets and coking coal futures. It provides implications for market efficiency and highlights the interconnection b…
Peer-reviewed🇨🇳 ChinaJournalEnergies2026#AI × ESGDOI
Research on Framework for and Strategies of Green Energy Consumption Based on Unsupervised Machine Learning
Jun Lyu, Yu Shu, Shuo Wang
Using unsupervised machine learning (LDA topic modeling, semantic network analysis, and hierarchical clustering) on subtitle transcripts from 60 YouTube green energy documentaries, this study identifies three framing communities: Technologi…
Peer-reviewedJournalOPTIMAL Jurnal Ekonomi dan Manajemen2026#ESGDOI
Pengaruh Pengungkapan ESG dan Nilai Perusahaan dengan Kendala Keuangan sebagai Mediasi
Rasti Wijayanti, Chara Pratami Tidespania Tubarad
This study examines the effect of ESG disclosure on firm value with financial constraints as a mediator for 78 Indonesian listed firms (2021-2023). Using panel data regression and Sobel test, it finds that ESG disclosure does not significan…
Peer-reviewed🌍 GlobalJournalApplied Thermal Engineering2026#CCUSDOI
Integrated techno-economic assessment of blue hydrogen production via steam methane reforming and autothermal reforming with carbon capture
Benjamin Kanz, Alessio Tafone, Balkumar Basant Kumar Pillai +3
This paper presents an integrated techno-economic assessment of blue hydrogen production via steam methane reforming (SMR) and autothermal reforming (ATR) with carbon capture. It compares carbon capture rates, energy efficiency, and hydroge…
Peer-reviewedJournalCarbon Capture Science & Technology2026#CCUSDOI
Converting Agricultural By-Products into a Carbon-Neutral CO2 Capture System: Biomass-Ash-Enhanced Biogas Slurry for Plant and Soil Carbon Sequestration
Feihong Liang, Xianwen Meng, Te Tu +5
This paper proposes a carbon-neutral CO2 capture system using agricultural by-products. It demonstrates a method to enhance carbon sequestration in plants and soil using biomass-ash-enhanced biogas slurry.