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-reviewedJournalAustralian Journal of Agricultural and Resource Economics2026#Carbon PricingDOI
Economic Analysis of Infrastructure Investment and Break‐Even Carbon Prices for Low‐Water, Low‐Emission Farming Techniques in Vietnam
Nhat Mai Nguyen, Quoc Anh Ho, Thi Ha Lien Le +4
This study provides an economic analysis of low-water, low-emission (LWLE) farming techniques in Vietnamese rice production. Using survey data from 14,312 households, it finds that while LWLE practices increase yields and revenues, they als…
Peer-reviewed🇨🇳 ChinaJournalJournal of Environmental Management2026#CCUSDOI
Wet-grinding carbonation of concrete slurry waste under low-concentration CO2 for preparing low-carbon foam concrete
Jin Yang, Hao Zheng, Maogao Li +5
This study investigates wet-grinding carbonation of concrete slurry waste under low-concentration CO2 to produce low-carbon foam concrete. The process sequesters CO2 in construction waste, reducing carbon footprint. The resulting foam concr…
Peer-reviewed🇪🇺 EuropeJournalTerritory Politics Governance2026#OtherDOI
Green occupation: low-carbon energy and territorial control in Western Sahara
Roberto Cantoni
This paper critically analyzes how low-carbon energy projects in Western Sahara function as a tool to reinforce Moroccan territorial control. It reveals the mechanisms linking renewable energy development with colonial occupation, questioni…
Peer-reviewed🇪🇺 EuropeJournalACS Catalysis2026#HydrogenDOI
Ultra-Low Amounts of Transition Metals in Carbon-Based Catalysts Improve Their Alkaline OER Performance: A Systematic Study
Michael Poschmann, Sebastian Tigges, Daniela Ramermann +8
This systematic study demonstrates that incorporating ultra-low amounts of transition metals into carbon-based catalysts significantly enhances their oxygen evolution reaction (OER) performance under alkaline conditions. The findings offer …
Peer-reviewed🇨🇳 ChinaJournalSustainability2026#Climate RiskDOI
Climate Risk Contagion and Financial Stability During the Low-Carbon Transition: A Multiscale Vine-Copula Analysis
Li Zeng, Jinghui Huang
This study analyzes contagion effects of climate financial risks across markets during the low-carbon transition. Using daily data from April 2020 to April 2025, it applies a multiscale tail risk framework combining wavelet decomposition, c…
Peer-reviewed🇨🇳 ChinaJournalEnergy Policy2026#Energy TransitionDOI
The impacts of China's low-carbon power transition on employment structure: a regional perspective combining skill and gender
Yuan Yuan, Xiaowen Yang, Jiahai Yuan +1
This paper analyzes the regional impacts of China's low-carbon power transition on employment structure by skill and gender, revealing heterogeneous effects and providing policy insights for a just transition.
Peer-reviewed🇺🇸 USAJournalCommunications Earth & Environment2026#OtherDOI
Naturalness catalyzes public support for carbon dioxide removal and low-carbon energy technologies
Sarah Coffin, Shahzeen Z. Attari, Holly Jean Buck +7
This paper examines how perceived naturalness shapes public support for carbon dioxide removal (CDR) and low-carbon energy technologies. Two US-based studies show that when technologies are perceived as natural, they gain more support due t…
🇨🇳 ChinaJournalPubMed2026#PolicyDOI
[Effect of Low-carbon City Pilot on Household Carbon Emissions].
Xing Ge
This study uses a staggered difference-in-differences model with Chinese household panel data to estimate the causal effect of low-carbon city pilot policy on household carbon emissions. It finds a significant reduction driven by decreased …
Peer-reviewed🇨🇳 ChinaJournalRegional Sustainability2026#PolicyDOI
Optimizing land cover planning for carbon neutrality: Policy insights from scenario-based vegetation carbon sink assessment in the Guangdong–Hong Kong–Macao Greater Bay Area, China
Youyue Wen, Zhichao Chen, Saoman Cai +1
This study evaluates vegetation carbon sink dynamics under four land cover scenarios (economic development first, carbon neutrality first, sustainable development, natural development) in the Guangdong-Hong Kong-Macao Greater Bay Area. Usin…
Peer-reviewed🇨🇳 ChinaJournalGBP Proceedings Series2026#Carbon AccountingDOI
Research on Mechanical Innovative Design and Low-Carbon Material Mechanical Adaptation Under the Carbon Neutrality Perspective
Botong Gu
This study evaluates low-carbon materials (CFRP, high-strength aluminum, bio-composites, recycled steel) for mechanical performance and proposes a design framework coupling material selection with topology optimization and lightweight desig…
Peer-reviewedJournalSustainable Cities and Society2026#Carbon PricingDOI
Financial Optimization of Industrial Multi-Energy Hubs for Operational Cost Minimization: A Game-Theoretic and Lyapunov-Integrated Model for Carbon Trading
Haitao Zhang, Ying Chen
This paper proposes a game-theoretic and Lyapunov-integrated model for minimizing operational costs of industrial multi-energy hubs, incorporating carbon trading. It optimizes energy supply and demand balance, demonstrating cost reduction v…
Peer-reviewed🇨🇳 ChinaJournalMicroorganisms2026#OtherDOI
Trade-Offs and Driving Factors of Microbial Carbon and Nitrogen Use Efficiency in Typical Forest Ecosystems of Funiu Mountain
Yadong Xu, Yiran Lai, Luotong Zhao +2
In three forest types of Funiu Mountain, China, microbial carbon and nitrogen use efficiency (CUE, NUE) showed a strong negative trade-off. Mixed forest exhibited highest NUE but lowest CUE due to nitrogen limitation. Soil nutrients indirec…
Peer-reviewed🇨🇳 ChinaJournalSustainability2026#Carbon PricingDOI
Optimal Scheduling of Data Center Clusters with Distributed and Shared Energy Storage Under a Carbon Trading Mechanism
Xiaolin Chu, Peng Wang, Ruijuan Zhao
This paper proposes an optimal energy and workload dispatch model for data center clusters (DCC) integrating distributed energy storage (DES) and shared energy storage (SES) under a carbon trading mechanism. A Mixed-Integer Nonlinear Progra…
Peer-reviewed🇨🇳 ChinaJournalSustainability2026#Energy TransitionDOI
Multi-Market Joint Trading of Distributed Resource Aggregators Considering a Carbon–Green Certificate Linkage Mechanism
Xue Cui, Pingzheng Tong, Zixin Lu +1
This paper proposes a bi-level optimization model for distributed resource aggregator (DRA) bidding across energy, peak regulation, carbon, and green certificate markets, incorporating a limited carbon-green certificate linkage mechanism. I…
Peer-reviewed🇪🇺 EuropeJournalOpen Science Framework2026#Carbon PricingDOI
Environmental Taxation as a System-Level Lever in EU Agri-Food Governance: A Complex Adaptive Systems Analysis of Carbon-Cost Exposure, Emission Intensity, and Trade Competitiveness, 2005–2024
Hasan Tutar
This paper analyzes environmental taxation as a system-level lever in EU agri-food governance, examining carbon-cost exposure, emission intensity, and trade competitiveness from a complex adaptive systems perspective over 2005–2024. It reve…
Peer-reviewed🇨🇳 ChinaJournalSustainability2026#Carbon PricingDOI
Operations of a Cross-Border Remanufacturing Supply Chain Under Carbon Tariffs and Cap-and-Trade Regulation
Xuemei Zhang, Haodong Chen, Guohu Qi
This paper examines a cross-border remanufacturing supply chain under carbon tariffs and cap-and-trade using a two-stage Stackelberg game. It finds that carbon tariffs reduce emissions but hurt profits and social welfare, while cap-and-trad…
Peer-reviewedJournalEconomies2026#AI × ESGDOI
Structural Determinants of Carbon Market Effectiveness: A Machine Learning Approach to Emissions Trading Gaps in Developed and Developing Economies
Ángeles Montserrat Govea Franco, Saúl Domínguez Casasola, Heriberto Salazar-Soto
This study uses machine learning (k-prototypes clustering and ANN) to analyze the effectiveness of emissions trading systems (ETSs) across 53 countries. It classifies 58 ETSs into four archetypes and identifies renewable energy consumption …
Peer-reviewed🇨🇳 ChinaJournalEurasian Economic Review2026#Carbon PricingDOI
Paying the price: debt financing implications of China’s carbon emission trading scheme
Xi Zhang, Jialei Ma, Xinyuan Xu +1
This paper empirically examines the impact of China's carbon emission trading scheme (ETS) on corporate debt financing costs. It quantifies how carbon pricing introduces financial risk, linking climate policy to capital markets.
Peer-reviewed🌍 GlobalJournalDiscover Life2026#Climate FinanceDOI
Mangrove restoration advancing green–blue economy transition through employment creation, financing pathways, and sustainability outcomes
Teklu Gebretsadik Wana, Mário Paulo Falcão
This systematic review examines the economic and social impacts of mangrove restoration, focusing on job creation, gender involvement, financing, and carbon sequestration. Findings show short-term planting jobs are abundant but decline with…
CNJournalProceedings of the ... International Conference on Business Excellence2026#AI × ESGDOI
Do AI and Digital Technologies Curb Greenwashing in ESG Reporting?
Artem SHAPOSHNIKOV, Svetlana RATNER, Inna Choban de Sousa Paiva +1
This paper conducts a meta-analysis of 76 empirical studies (2009-2025) on the effect of AI and digital technologies (DT) adoption on corporate greenwashing (ESG disclosure-performance gap). AI/DT implementation is associated with a statist…