GX & Decarbonization Research

Zitao Hong, Zhen Peng, Xueping Liu

This study addresses the challenge of predicting enterprise carbon emissions amid distribution shifts across regions, industries, and policies. By integrating causal inference with stable learning, it proposes a time-series prediction mecha…

Jiating Wang, Yinan Peng

This paper proposes a trusted evidence storage system using blockchain and smart contracts to enhance the reliability of carbon trading data for listed companies, ensuring transparency and tamper-proof records to strengthen carbon credit ma…

Tyas Aswadina Poliyama, M. Mahdalena, Ronald S. Badu

This study analyzes the conformity of carbon emission disclosures with GRI 305 standards among Indonesian LQ45 Low Carbon Leaders index companies from 2022 to 2024. Using a quantitative descriptive approach, it finds that most companies ach…

Maria Mavroulidou, M. Gunn, Ottavia Rispoli +2

This scoping study evaluates electrokinetic biocementation of clay soil under a railway embankment using carbonic anhydrase-producing bacteria. LCA shows that biocementation reduces global warming potential and resource usage compared to hy…

K. Battaglia, T. Griffin, N. Blackstone

This mini-review evaluates two on-farm carbon accounting tools (Cool Farm Tool and COMET-Farm) for their utility in assessing climate impacts of procurement in Food is Medicine programs. Both tools show significant limitations in accurately…

E. Swails, K. Hergoualc’h, Jia Deng +1

This study models vegetation carbon and soil GHG emissions in undrained degraded peatlands in Indonesia and Peru. It derives emission factors for CO2, N2O, and CH4 after disturbances, showing vegetation recovery in 40–80 years but elevated …

Bo Zhao, B. Guo, D. Ye +2

This study proposes a low-carbon assessment model for railway bridge construction, integrating LCA-based carbon accounting with ANP-Fuzzy evaluation. A case study validates the model, achieving an 'excellent' score and identifying key emiss…

N. Tsigkas, Vasileios Anestis, Anna Vatsanidou +1

This paper presents a systematic and bibliometric review of MRV techniques for agricultural and livestock GHG emissions. Analyzing 5,340 studies (1990-2025) and systematically reviewing 100 (2020-2025), it identifies four MRV approaches: in…

Song Hu, Hua-Zhe Qi, Zifei Wang +3

This study proposes a multimodal data fusion framework integrating high-resolution remote sensing and plant textual data for plant-level carbon accounting in China's pulp and paper industry. Applied to 720 plants, it estimates 163.6 Mt CO2 …

Jibriel Elsayih, Rina Datt, Qingliang Tang +1

This study empirically examines the relationship between carbon management system quality (CMSQ) and voluntary carbon assurance (VCA) using a sample from over 40 countries (2011-2018). It finds that firms with superior CMSQ are more likely …

Gunther Glenk, Rebecca Meier, Stefan Reichelstein

This paper develops a generic model for constructing carbon abatement cost curves, calibrated on European cement producers under the EU Emissions Trading System. The results show that a carbon price of €85/ton (2023 average) incentivizes ab…

Hans Sanderson, M. C. Maia, Frank Akowuge Dugasseh +2

This paper presents two complementary digital tools to support climate accounting for SMEs, which are often neglected in sustainability reporting despite their critical role in Scope 3 emissions. The first tool, Climate Compass, is a govern…

Minh Huong Tang, Doan Trang Do

This systematic review analyzes carbon credit accounting (CCA) in higher education institutions using PRISMA 2020. Reviewing 215 papers, it identifies five themes: measurement, sustainable development, input-output analysis, digital innovat…

Emilia Pupsitsari, A. Nawangsari

This paper identifies the causes of low quality and inconsistency in carbon accounting in Indonesia: absence of national standards, limited technical capacity, and insufficient digital infrastructure. A systematic literature review of 2019-…

N. Giridharan, Dhayanithi V, S. S +1

This paper presents an AI-based platform that integrates diverse organizational data (energy, commuting, supply chain) to automate carbon footprint measurement and ESG reporting. Using AI for validation and estimation, it achieves higher re…

(著者不明)

This paper provides policymakers with a blueprint for integrating OGMP 2.0-aligned methane reporting into regulatory MRV frameworks. It leverages the UNEP IMEO's leading MRV standard for the oil and gas industry, offering step-by-step guida…

Janna Axenbeck, S. Kunkel, Joris Blain +1

This study reveals that global emissions from digital technologies between 2010 and 2021 were largely obscured in greenhouse gas emission accounting standards. It highlights the inadequacy of current carbon accounting frameworks in capturin…

K. R. Gurney, Bilal Aslam, P. Dass

Climate Trace is an AI-based dataset for roadway-scale GHG emissions. This study compares its onroad CO2 emissions estimates for U.S. urban areas with the Vulcan Project's estimates, finding a mean relative difference of 69.9%. Biases in th…

Kailash Chand Choudhary, Sakshi Rajput, Atul Choudhary +3

Agriculture accounts for about 23% of global GHG emissions, primarily from CO2, methane, and nitrous oxide. This paper proposes an AI-enabled smart carbon farming system to achieve climate-positive agriculture by optimizing carbon sequestra…

Timothy D. Searchinger, Liqing Peng, Daniela Russi +1

This paper suggests that BECCS using forest biomass may lead to decades of net emission increases due to carbon debt, undermining near-term climate targets. It challenges the assumption that forest-based BECCS provides immediate climate ben…