GX & Decarbonization Research

F. Eckl, A. Moita, T. Sousa +1

This study develops a bottom-up mass and energy balance model for electrified steelmaking using EAF with H2-DRI and scrap. It quantifies how H2-DRI ratio affects electricity demand, CO2 emissions, and oxygen management, showing up to 95% em…

Xiang Liu, Zhida Jin, Yunyun Wu +3

This study empirically analyzes the impact of digitalization on trade-embedded domestic energy consumption (TDEC) using panel data from 43 economies. Constructing a novel TDEC indicator via value-added decomposition, it finds that a 1% incr…

Achmad Jaelani, Atik Budi Paryanti

Using panel data from Southeast Asian listed banks (2015-2023), this study examines how debtor firms' ESG disclosure affects bank credit risk (NPL ratio) and the moderating role of banks' sustainability commitment. Results show ESG disclosu…

Liu Na, Wan Nordin Wan‐Hussin, Chin Sok Fun

This study examines whether ESG-linked executive compensation influences carbon disclosure quality in China's A-share listed firms, and whether board climate oversight mediates this relationship. Using panel data from 2021-2023, it finds th…

Luana Serino, Manlio Del Giudice, Francesco Campanella +1

This study empirically examines the impact of AI-related disclosure on ESG outcomes in U.S. firms. It investigates whether AI adoption and disclosure are associated with improved ESG performance, contributing to the emerging literature on A…

Xinya Wang, Xinzhi Zhang, Shuqing Huang

This study empirically examines how neighborhood carbon emissions affect corporate cash holdings. Using a novel exogenous metric, it finds that higher emissions increase cash holdings. Mechanisms include reduced ESG performance, increased f…

Zehua Tian

This record provides replication code and aggregate results for a study on how regulatory visibility affects carbon disclosure in China. It documents CSMAR data retrieval and construction of 2019 registry exposure, enabling researchers to r…

Guixiang Zhou, Junxi Liu, Jiabao Zhang

This paper proposes a 'virus-mediated microbial carbon pump' concept, extending the microbial carbon pump theory by integrating soil viruses, microbes, and fauna interactions. It offers a new framework for understanding soil carbon sequestr…

Thicia Stela Lima Sampaio, María Belén Lozano, Marcelle Colares Oliveira

This systematic review of 23 articles examines how ownership structure influences carbon performance, identifying 53 shareholding attributes and 294 relationships. It highlights entrenchment and alignment effects in climate governance, offe…

Gusti Muhamad Sardana, Ryan Putra Laksana

This chapter examines blue carbon ecosystems (mangroves, seagrasses) as climate mitigation strategy, integrating ecological processes, carbon accounting, and carbon market mechanisms. It synthesizes carbon storage dynamics, degradation driv…

Yang Bai, Ziqi Wang

This paper examines how supply chain actors achieve self-reliance under carbon policies, focusing on the role of carbon credits. It analyzes how firms balance regulatory compliance and operational continuity by leveraging carbon credits.

L. B. Muralidhar, R. Shilpa, N. Sathyanarayana +2

This chapter examines how blockchain technology can address inefficiencies, fraud risks, and accessibility barriers in traditional carbon credit markets. It covers tokenisation mechanisms, smart contracts, and decentralised ledgers, with ca…

Alexis Costa, Lionel Dubois, Marie‐Eve Duprez +2

This paper addresses the techno-economic optimization of a cryogenic carbon capture process based on CO2 desublimation for transport applications. It balances cost and energy efficiency to assess economic feasibility, contributing to CCUS d…

Keeratikan Piriyakul

This review systematically examines carbon-capturing biocementation pathways (MICP, EICP, CA-mediated, etc.) for geotechnical engineering. It highlights their potential to replace cement, reduce CO2 emissions, and improve soil stability, wi…

Nianxin Liu, Liang Zhao

This paper proposes a data-driven stochastic robust optimization approach for low-carbon retrofit of industrial utility systems under multiple uncertainties. It balances cost and carbon emission reductions while considering uncertainties in…

Jian-yun Lu, Qing-Yi Liu, Yu-Qi Wang +5

This study develops a Bayesian multiobjective optimization framework with Gaussian process surrogates and uncertainty-aware search to map trade-offs in pharmaceutical wastewater treatment. Optimized operating windows improve removal efficie…

Momir Sjerić, Ivana Jovanović, Ailong Fan +1

This paper simulates the performance and emissions of a dual-fuel marine diesel engine to achieve low-carbon ferry operations, offering technical insights for decarbonizing the maritime sector.

Qian Ma, Chunxiao Liu, Kui Huang +6

This paper proposes D-PGNet, a deep projected gradient network that accelerates low-carbon economic dispatch with energy storage and carbon trading costs. It embeds physical constraints as differentiable projection layers, achieving optimal…

Xuhui Wang, Tongsheng Zhang, G.N. Xu +5

This study optimizes mixture design and renewable-energy steam curing for precast concrete, achieving CO2 emission reductions of 71.7-76.4 kg/m³. A mix with 15% GGBS and controlled curing improves strength and durability while cutting costs…

László Bokor

This paper proposes a simple input-output framework for estimating GDP and employment in low-GHG-intensity sectors resulting from green expenditures. It provides a numerical example based on Hungarian data and highlights practical implement…