GX & Decarbonization Research

Jijun Shui, Ershun Du, Qin Wang +1

This work proposes a non-iterative optimal dispatch method coordinating a distribution system with microgrids, using a power-cost-emissions equivalent projection. It avoids iterative computation while balancing grid operation and emissions …

Shuyu Wang, Tian Chen, Yangzixian Yang +1

Using 108 communities in Beijing's Fengtai District, this study examines how neighborhood built-environment attributes relate to residents' travel-related carbon emissions. Combining hierarchical regression, subgroup regression, and random …

Xiaoming Wang, Jinjin Ding, Wenguang Zhao +1

This paper proposes a low-carbon optimal scheduling method for integrated energy systems (IESs) integrating ice-storage air conditioning and vehicle-to-grid (V2G) interaction of EVs and hydrogen vehicles. Monte Carlo sampling of 1000 EVs an…

Pedro Henrique Batista de Barros, Felipe César Marques, José Eustáquio Ribeiro Vieira Filho +1

Using municipality-level two-way fixed-effects panel data, the study evaluates Brazil's Low-Carbon Agriculture Policy (ABC) Subprogram for Recovery of Degraded Pastures (SRDP). SRDP credit significantly promotes pasture recovery, with posit…

Christina Irawadi, Djoni Hartono, Jahen F. Rezki +1

Using nationally representative SUSENAS data (2022–2024, >1M households) and a CLA-EEIO framework with 2SLS/DML-IV, this study finds digital finance adoption raises Indonesian household carbon emissions, driven by indirect emissions in purc…

Yitong Dong, Jiashu Kong, Pow‐Seng Yap +1

This critical review examines how AI-driven multi-objective optimization and multi-criteria decision-making are applied to integrated energy systems for low-carbon transitions. It synthesizes methods for designing and operating renewables-h…

Lei Ren, Baoxin Li, Xiaojun Guan +6

This study examines how land-use change reshapes the regional carbon balance in Qinghai's alpine plateau, China, and explores pathways for low-carbon spatial optimization. Without an abstract, specifics remain unclear, but the work links la…

Leyu Hu, Zhijie Pi, Nan Zhang +4

This review examines tailings as supplementary cementitious materials (SCMs) to partially replace Portland cement, addressing low reactivity, rheology issues, missing standards, and secondary pollution. It integrates physicochemical propert…

Lining Zhou, Yiqiang Jiang, Qingqin Wang +4

The study builds a two-level low-carbon neighborhood indicator system (6 domains, 22 indicators) using word-frequency analysis and expert validation, weighting them via AHP and aggregating into a composite Carbon-reduction Index (CCI). Appl…

Mauro Capocelli, Marco Facchino, Cecilia Pistolesi +2

This review classifies low-carbon and renewable energy integration into carbon capture via renewable heat (RH-CC), renewable electricity (RE-CC), and renewable/recovered cryogenic energy (CR-CC). Indirect solar heat, high-temperature heat p…

Yumei Zhang, Jingjing Wang, Zhang Ruizeng +2

China's agrifood system accounts for 13% of global agrifood emissions and could rise to 1.83 Gt CO2eq by 2060 under baseline trends. Combined measures—productivity gains, low-carbon tech, food loss reduction, structural shifts, and energy t…

Xuanming Fu, Qian Xue, Pang Wan

Using 2003–2023 data from eight major economies, this study applies MMQR and Panel Smooth Transition Regression to test how the digital economy and green innovation shape carbon neutrality. The digital economy improves carbon neutrality acr…

Juntao Peng

This study analyzes the economic effects of transforming China's energy-intensive industries (steel, chemicals, building materials, non-ferrous metals) under carbon neutrality. It identifies three transmission mechanisms—technological innov…

Alvina Yee Ling Yii, Jia Jun Loke, Siok Kun Sek +2

Using quantile treatment effect models on 90 BRI countries (1995–2021), this study finds that the Belt and Road Initiative reduced CO2 emissions and boosted renewable energy consumption, with stronger effects in high-emission and high-renew…

Xinran Fang, Chaobo Zhou, Tuygunoy Mamadjanova

Surveying 283 managers at Chinese ETS-covered manufacturing and energy firms, this study shows CSR, circular economy practices and green investment improve green firm performance, with eco-innovation as a partial mediator. Carbon trading re…

Xueping Hu, Xiaodong Liu

Using panel data for 31 Chinese provinces (2000–2022), this study builds trade and low-carbon indices, identifies four latent regimes with 94.3% annual persistence, and applies ML with SHAP plus double ML to estimate FTZ effects. Coordinati…

Wei Li

This study forecasts carbon emissions trading prices using four factors: stock market, exchange rate, international energy commodity prices, and international carbon prices. LASSO confirms all factors matter; among RF, XGBoost, BP neural ne…

Ivan Gentile, Motaz Saad, Kianna Kazemi +1

Standard PDF-to-Markdown pipelines silently discard embedded figures, creating a representation gap in RAG. Across 274 ESG reports, 21.7% of 48,896 images are data-bearing yet invisible to text-only retrieval. A vision-language augmentation…

Jana Poláková, Martin Hvarregaard Thorsøe, Adam Svoboda +7

This review compares financial mechanisms supporting verifiable agricultural soil carbon under the European Green Deal. It identifies an accuracy–cost paradox: result-based MRV demands high-precision monitoring, raising costs that deter far…

Diana Karen Zavala-Vega, Edgar Geovanni Mora-Jacobo, Carlos Antonio Padilla-Esquivel +2

This study assesses Mexico's electricity system via life-cycle assessment and resource analysis, introducing four novel energy sustainability indices derived from EI99H damage results. Fuel oil, water, and biomass improved from 2013–2023, w…