GX & Decarbonization Research

Seongkyu Cho, JINHO RYOU, Juhun Kim +3

This work addresses low-carbon technology development in blast furnace operations using alternative raw materials and fuels. Without an abstract, details are limited, but it concerns steel-sector decarbonization through process innovation. …

Van Kien Pham, Le Na

A 2×2 vignette experiment with 620 Vietnamese adults plus SEM tests how governance cues and datafication risks shape adoption of household low-carbon technologies via responsible data trust and green-data legitimacy. Transparency, user cont…

Lenganji Simwanda, Paul Oluwaseun Awoyera, Adewumi John Babafemi

An AI-assisted inverse-design workflow for supplementary-cementitious-material concrete, combining Optuna-tuned neural networks, split conformal prediction, continuous-treatment forests, and multi-objective search across strength, embodied …

Yanna Huang, Biqin Dong, Guowen Xu +5

This work proposes producing low-carbon building backfill by using incineration bottom ash (IBA) to endogenously activate slag. It valorizes waste streams while curbing the carbon intensity of cementitious materials. No abstract is availabl…

Saeeb M. AL-Tam, Amr Riad, Nader Mohammed +2

A study on producing low-carbon concrete via alkali activation using multiple waste materials. It targets reducing cement-related CO2 emissions through material substitution, contributing to construction decarbonization. No abstract is avai…

Yuwei Li, Ying Ma, Xiaodong Shen +2

A review of ye'elimite-containing (calcium sulfoaluminate) low-carbon cements, covering clinkering, hydration behavior, and hardened properties. It consolidates materials-design knowledge relevant to cutting CO2 emissions in the cement indu…

Jung Jae Jang

This paper reviews global carbon regulations and China's carbon neutrality policy, then examines policy tasks for the green transition of regional industries in Busan, Korea. Without an abstract, details are limited, but the focus is on how…

Maria Tsami

This article synthesizes literature on net-zero transition capabilities, resilience, and socio-technical change to propose the Carbon Neutrality Capability–Resilience (CNCR) framework. It separates functional and carbon performance trajecto…

Xinyu Chen, Xinyang Guo, Xi Yang +2

This paper argues that hydrogen derivatives (e.g., green ammonia and methanol) offer a cost-effective pathway to carbon neutrality in China. It likely analyzes how deploying hydrogen carriers can lower decarbonization costs. Details are una…

Bingyang Wu, Qiuju Cao, Jiao Dai +1

This replication archive reproduces a study of CO2 embodied in China–EU27 trade (2011–2022) using EXIOBASE multi-regional input–output modeling, estimates China's CBAM certificate costs for 2026–2034, and tests shifts in EU import origins a…

Cong Xu, Xinwei Gao

Using an exact MILP dispatch model of a park-level source–grid–load–storage system across six Chinese provincial reform scenarios, the paper shows emissions respond to carbon prices in thresholds, not linearly. Three institutional gates—all…

Zhaopei Tang, Liehui Wang

This study examines the spatial patterns of carbon emissions from container shipping routes between countries and the factors associated with them, in the context of the U.S.–China trade war. No abstract is available, but the work appears t…

蒋震, Qihang Yin

An empirical study using Chinese provincial panel data to examine how green finance affects energy transition and regional economic growth through spatial spillover and threshold effects. It tests whether green finance benefits spill over t…

Ali Nawaz, Cristi Marcel Spulbar, Meng Qin +1

This paper tests whether green bond prices carry information about physical clean-energy output, using the data-centre electricity demand surge as a stress test. Using a time-varying parameter VAR, endogenous break tests and state-dependent…

Katya Margarita Méndez-Maldonado, Flor Nancy Díaz-Piraquive

Triangulating GRI-coded corporate disclosures with sector-level waste, water and environmental-investment statistics for Colombian manufacturing, the study finds strong structural alignment for water disclosure, partial alignment for waste …

Abhilash Aggarwal, Mehvish Mehraj

This chapter examines whether AI-driven greenwashing detection (ML classifiers, NLP, knowledge graphs) can establish corporate liability under Indian and US law. It argues India's BRSR Core, 2024 CCPA greenwashing guidelines, PFUTP Regulati…

N. Sathyanarayana, G. Srividhya, Laxmana Rao Goranta +2

A conceptual chapter on using NLP and machine learning to detect greenwashing in ESG reporting. It reviews textual classification, claim verification and assurance literature, then proposes a seven-layer framework spanning document acquisit…

Mehak Jonjua

This study examines how integrating AI into forensic accounting and ESG reporting can improve fraud detection accuracy and the reliability and completeness of sustainability disclosures. Using institutional, dual-process, and explainability…

Gazala Sharif -, Insha Hamid

This chapter examines how machine learning, NLP, predictive analytics, blockchain, and RPA can be integrated into forensic accounting to detect ESG fraud such as greenwashing and carbon misreporting. It proposes an AI-Enabled Sustainable Fo…

Arivuselvee Vellore Jayaraman, V. Thulasi, V. Balasubramaniyan +1

This chapter examines independent assurance as a mechanism to enhance the credibility and comparability of ESG and non-financial disclosures. It reviews the theoretical foundations of ESG assurance, the main assurance standards, the profile…