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🇨🇳 ChinaJournalHumanities and Social Sciences Communications2026#Carbon PricingDOI
Reassessing global trade and welfare impacts of EU’s carbon border adjustment mechanism in developing countries: a structural quantitative model
Xiaolong Lu, Hao Li, Yuelan Cheng +3
This study uses a structural quantitative trade model to analyze the impact of the EU CBAM on trade and welfare in developing countries. It finds significant negative effects on exports of steel, fertilizer, cement, and aluminum from BRICS …
Peer-reviewed🇪🇺 EuropeJournalEnergy Sustainability and Society2026#Renewable EnergyDOI
Renewable energy acceptance and responsible actors: unravelling the influence of trust in governments and corporations
Patrick Stuhm, Manuel Baumann, Marcel Weil
Using a representative German telephone survey (N=1155) and mixed methods, this study analyzes how trust in government and corporations affects renewable energy acceptance. Trust in government increases perceived benefits and reduces percei…
Peer-reviewed🌍 GlobalJournalCorporate Governance2026#ESGDOI
Board gender diversity and renewable energy consumption: evidence from G20 countries
M Pattanaik, Jitendra Mahakud
This study examines the impact of board gender diversity (BGD) on renewable energy consumption using firm-level data from 18 G20 countries (2010-2022). Findings show BGD positively influences renewable energy consumption, with stronger effe…
🌍 GlobalJournalLondon School of Economics and Political Science Theses Online (London School of Economics and Political Science)2026#Energy TransitionDOI
The global consequences of climate change and appliance adoption for peak electricity demand
Maren Ludwig, Stephen Jarvis
Using appliance ownership and hourly electricity demand data across many countries, this study estimates temperature effects on electricity demand globally. Combining with climate and development projections, it shows that air conditioning …
Peer-reviewed🇪🇺 EuropeJournalEnergies2026#Energy TransitionDOI
Cascading Lock-Ins in the Energy Transition of Post-Mining Regions: Towards an Integrated Governance Framework
Olga Janikowska, Agnieszka Generowicz, Joanna Kulczycka
This paper conceptualizes cascading lock-ins in post-mining regions' energy transition, identifying how infrastructural, technological, institutional, and social constraints interact and reinforce each other across domains. Through literatu…
🌍 GlobalJournalcIRcle (University of British Columbia)2026#EV & TransportDOI
A Comparative Life Cycle Assessment of the Ford Transit vs. EV Ford Transit
Heather Sutherland, Kevin Kim, Molly Ramsay +1
This study conducts a cradle-to-grave LCA comparing the Ford Transit ICEV and EV for UBC's campus fleet, using OpenLCA and Ecoinvent. Under low-carbon grid and short-distance driving, EVs reduce GHG emissions but increase other environmenta…
Peer-reviewed🇪🇺 EuropeJournalEnergy Conversion and Management X2026#Energy TransitionDOI
Digital twins for viable positive energy districts: power-system optimization and cost-benefit in the smart student city
Gordon C. Rausser, Wadim Striełkowski, Lukáš Prokop
This paper proposes a reproducible framework for assessing Positive Energy Districts (PEDs), combining bibliometric and NLP analysis with a PyPSA-compatible linear capacity-expansion and dispatch model and a corrected cost-benefit analysis.…
Peer-reviewed🌍 GlobalJournalApplied Energy2026#HydrogenDOI
Hydrogen technology pathways in metropolitan energy systems: An application to Montréal
Sara Ghaboulian Zare, Frédéric Babonneau, Olivier Bahn +4
This paper extends the ETEM model to assess hydrogen integration in metropolitan energy systems, applying it to Montréal. Under full carbon neutrality, hydrogen reaches ~7% of final energy by 2050, with production exceeding 33 PJ, but uptak…
Peer-reviewed🇨🇳 ChinaJournalDiscover Sustainability2026#AI × ESGDOI
Corporate digital transformation, ESG performance and carbon emissions
Daichen Guo, Sanglin Zhao
This study empirically examines the impact of corporate digital transformation (DX) on carbon emissions and the mediating role of ESG performance, using Chinese A-share listed companies from 2010 to 2023. DX reduces carbon emissions by impr…
Preprint🌍 GlobalZenodo2026#PolicyDOI
Building State Capacity for the Clean Development Transition
Hughes, Hunter
Frames the clean energy transition as an institutional crisis of state capacity, arguing for a modernized Developmental State with coordinated planning, strategic finance, and industrial discipline. Offers a 12-chapter architecture and a 20…
Preprint🇪🇺 EuropeZenodo2026#Disclosure InfrastructureDOI
Du Signal Financier à l'Empreinte Systémique : Reconfiguration de la Communication des Sociétés Cotées à l'Ere de la CSRD et de la Double Matérialité
MOUSSAFIR Hasna
This paper proposes a unified conceptual framework to model how the CSRD and ESRS reshape corporate disclosure through double materiality. Integrating signaling, agency, legitimacy, and stakeholder theories, it argues that structural conver…
Preprint🇪🇺 EuropeZenodo2026#Energy TransitionDOI
Renewable fuels or CCS? Identifying drivers in net-zero transport and energy systems (supporting data)
Frederik, Fristed
This dataset supports a study analyzing the roles of renewable fuels and CCS in net-zero transport and energy systems. It provides input data and results for 37 scenarios using the Balmorel energy system model. Open-source model and data en…
🇺🇸 USADatasetZenodo2026#Energy TransitionDOI
GETP v1.0: Global Energy Transition Pace Database - realised ascent and descent rates for electricity technologies in 214 countries, 1985–2025
Sikder, Pranta
GETP v1.0 is a harmonized database of realized ascent and descent rates for electricity technologies across 214 countries (1985-2025). It applies a symmetric diagnostic engine to both expanding and contracting trajectories, enabling compari…
🇺🇸 USADatasetZenodo2026#Carbon AccountingDOI
GMEF v1.0 - Global Marginal Emission Factor panel for electricity, 1999–2025
Sikder, Pranta
An open panel of marginal emission factors for electricity across 203 economies (1999-2025), enabling accurate assessment of emissions from additional electricity demand (EVs, heat pumps, data centers). It provides average, operating margin…
Peer-reviewed🇨🇳 ChinaJournalSystems2026#AI × ESGDOI
A Multiscale Decomposition-Ensemble Framework with Explainable AI for Carbon Price Forecasting and Driver Analysis
Yuanyuan Ma, Siyu Peng, Yun Yu
This study develops a hybrid forecasting framework integrating CEEMDAN, sample entropy reconstruction, and coefficient of variation ensemble to capture multi-scale nonlinear carbon price dynamics. SHAP and TVP-SV-VAR reveal scale-specific a…
Peer-reviewed🇨🇳 ChinaJournalNature Communications2026#Energy TransitionDOI
Toward efficient green methanol from biomass and renewable power
Sheng Zhao, Jingran Zhang, Jinyang Lu +6
This study compares four routes for green methanol production from biomass and renewable power, revealing trade-offs in carbon use, energy efficiency, emissions, and cost. Hydrogen-integrated gasification achieves 92% carbon utilization and…
Peer-reviewed🇨🇳 ChinaJournalEnvironmental Science & Technology2026#Energy TransitionDOI
Time-of-Use Pricing Enhances Vehicle-to-Grid Benefits for Power Systems and Vehicle Owners but May Undermine Decarbonization
Bowen Tian, Pei Zhao, Min Liu +11
This study analyzes the interaction between V2G and time-of-use pricing using a unit commitment model of the 2030 Jing-Jin-Tang grid with Bayesian optimization. It finds that current static tariffs incentivize EV discharge during midday sol…
Peer-reviewed🇪🇺 EuropeJournal2026#Energy EfficiencyDOI
A deep-learning framework for predicting building heat load with hyperparameter optimisation and physics-constrained post-processing
Ma, Minghui, Valdiserri, Paolo, Ballerini, Vincenzo +2
This study proposes a deep learning framework to predict building heat load for a single apartment in Bologna using previous 24h data. Optuna optimizes hyperparameters for LSTM, TCN, MLP, XGBoost, and LR; LSTM performs best. Physics-constra…
Peer-reviewed🇪🇺 EuropeJournalEnvironmental Research Communications2023#EV & TransportDOI
How, where, and when to charge electric vehicles - net-zero energy system implications and policy recommendations
Luh, Sandro (author), Kannan, Ramachandran (author), McKenna, Russell (author) +2
This study extends the Swiss TIMES energy system model with heterogeneous consumer segments and charging infrastructure (CI) options to analyze BEV adoption and net-zero implications. Results show BEV share reaches 39-77% by 2050, requiring…
Peer-reviewed🌍 GlobalJournalApplied Energy2024#Energy TransitionDOI
Quantifying the impact of travel time duration and valuation on modal shift in Swiss passenger transportation
Luh, Sandro (author), Kannan, Ramachandran (author), McKenna, Russell (author) +2
This study integrates travel time duration and valuation into the Swiss TIMES Energy System Model (STEM) to quantify modal shifts in passenger transport. Results show that speed changes on medium and long trips (e.g., highway speed limits, …