GX & Decarbonization Research

J. Mo, Liliane Iradukunda, Wooyoung Jeon

This study evaluates the impact of the EU ETS Market Stability Reserve (MSR) on carbon price levels and volatility using the Synthetic Control Method (SCM). Constructing a counterfactual with Korea, New Zealand, and China as donors, it find…

Qiwei Wu, Kunquan He, Jingwen Liu +2

This study investigates the effect of ammonia (NH3) co-firing on mineral transformation and liquid-phase formation during combustion of Zhundong coal and kaolin mixtures, using experiments and thermodynamic calculations. NH3 co-firing alter…

Shadi Samizadeh, Joe Howe, Pouriya H. Niknam +4

This review critically examines biomass diversity and bioenergy conversion technologies, including thermochemical and biochemical pathways. Mature routes like anaerobic digestion and co-firing are commercially deployed (TRL 8-9) and offer i…

Xuncheng Fan, Lili Zhao, Hongjia Xu

This study analyzes 22 border cities in Northeast and Northwest China using Scope 1-2-3 emissions and LMDI decomposition. It finds that despite population decline, carbon intensity rose in the Northeast due to worsening energy structure, wh…

Vitaliy Soloviy, Gudrun Haindlmaier, Klaus Kubeczko +3

This study analyzes tensions among green, digital, and just transitions, presenting five perspectives: constructing realities, governing transitions, negotiating meanings, reasoning by numbers, and reimagining transitions. Based on 28 real-…

Lu Shen, Tianguang Lü, Mingwei Li +5

This study quantifies how renewable energy droughts (periods of low wind/solar output) lead to increased fossil fuel generation, worsening air quality. It highlights the compound climate-air pollution risks and underscores the need for resi…

Zhen Chang

This study examines the relationship between ESG scores and default risk for corporate bonds in developed economies (US, UK, Eurozone, Japan) from 2018 to 2025. Using MSCI and Bloomberg ESG ratings, credit spreads, and probability of defaul…

Roan Chadsey, Jay Fuhrman, Catrin Harris +2

This paper assesses the scale and timing of carbon dioxide removal (CDR) consistent with national climate pledges (NDCs). It quantifies the role of CDR in climate policy contexts, highlighting feasibility and policy implications.

Shuangxiang Zeng, Lisha Dong, Jingtao Shao +2

This study optimizes carbon purification from spent cathode carbon (SCC), a hazardous waste from aluminum production, using machine learning. Six algorithms were compared, and LightGBM was tuned via RSM, orthogonal design, and local optimiz…

Iara Campolina Dias Duarte, Diego Henrique de Souza Chaves, Esly Ferreira da Costa +1

This study evaluates three biogas recovery pathways in WWTPs: thermal drying, electricity generation, and combined heat and power. S2 achieves highest electricity and GHG reductions but lowest economic performance; S1 shows best economics (…

W. -J. Bai

This study develops an early warning system for green transportation financial risks using PCA for dimensionality reduction and an improved PSO-optimized SVM. Integrating financial, environmental, policy, and market indicators, it achieves …

Jianglin Jiang

This paper uses double machine learning to estimate the causal effect of digital transformation (DX) on urban green and low-carbon transition efficiency. It reveals mechanisms through which DX promotes energy efficiency and emission reducti…

Chenchen Zhang, Yizhen Du

This review analyzes urban solid waste classification and recycling systems from a low-carbon governance and circular urban development perspective, identifying challenges such as unstable classification behavior, fragmented management, and…

Wenjie Zhao, Chengpeng Li

This paper proposes an Improved Coati Optimization Algorithm (ICOA) inspired by urban traffic mechanisms for low-carbon microgrid scheduling. ICOA introduces road-network stratified initialization, traffic-signal-guided exploration, lane-ch…

K. K. Qin, Yu Zheng, Chao Zeng +1

This paper proposes a low-carbon scheduling and carbon emission prediction framework for power grid construction machinery by integrating an improved genetic algorithm (IGA), deep reinforcement learning (DRL), and a gated recurrent unit (GR…

Linlin Zhang, Junhao Lai, Ke Hu +4

This study develops a mixed-integer programming model to optimize the energy mix for yard trucks in container ports under low-carbon constraints, minimizing total cost while separating carbon costs by operating state. A case study shows a 4…

C. N. He, H. D. Chen, H. J. Tian +2

This study analyzes low-carbon investment strategies in power supply chains under carbon quota mechanisms (CQM) and blockchain technology (BCT). A two-echelon model of a power generator and retailer is examined via Stackelberg game across f…

Xirui Sun, Jie Chen, Tingting Zhang +2

This paper proposes a two-stage low-carbon dispatch framework for integrated energy systems (IESs) considering locational fairness of nodal carbon intensity (NCI). Using carbon emission flow theory, it develops a unified CEF model and impro…

Maziar Javadpour, Sean McCoy, Sylvia Sleep

Dynamic LCA of six concrete block scenarios shows natural carbonation offsets 11-37% of calcination emissions (25-55% with carbonation curing), static accounting overestimates by 4-10%. CCS reduces emissions 52-59%; carbonation curing and m…

Fu Jia, Yingjie Ju, Robert D. Klassen +2

This study examines how China's carbon emissions trading schemes (CETS) affect firms' environmental and social (E&S) disclosure using an institutional theory framework. Exploiting staggered CETS implementation (2013-2024) as a quasi-natural…