GX & Decarbonization Research

Sitong Zhang

Using the 2016 HKEX mandatory ESG disclosure policy as a quasi-natural experiment, this study employs a DID approach with A+H shares as treatment and A-only shares as control. It finds that mandatory ESG disclosure significantly increases s…

A. Butt

This qualitative study, based on 40 interviews across 11 manufacturing firms, examines how digital supply chain capabilities (IoT, blockchain) enable regionalization. It finds that digitally embedded information-processing and evidence-prod…

Yayuqiong Zeng, Qi Huang, Liuchun Zhang +1

This review examines the shift toward regenerative material systems in the built environment, evaluating bio-derived and carbon-storing materials (e.g., engineered timber, hempcrete) and low-carbon or circular mineral alternatives (e.g., lo…

Yuriko Uemura, Hidemichi Fujii

Using a global panel of 1,180 firms across 53 countries, this study finds that human capital disclosure is positively associated with cost of capital, but when coupled with strong management practices, it lowers cost of equity, especially w…

Zepeng Wang, Jialin Li, Kexin Zhang

This study examines the impact of carbon emission disclosure quality on corporate default risk using a sample of Chinese A-share listed firms from 2013 to 2022. Higher disclosure quality is significantly associated with lower default risk, …

Zhang Chenxuan, Peixiao Fan, Siqi Bu +1

This paper highlights the energy costs of integrating AI into power-transport networks, introducing the 'Computation-Energy Paradox.' It shows via a case study that during disasters, increased AI use for emergency management can worsen powe…

Roshan S

This paper proposes an integrated model linking ESG rating disagreement to institutional investment decisions via greenwashing perception and trust, moderated by disclosure quality and assurance. Based on a survey of 450 investors, it addre…

Radosveta Krasteva-Hristova, Luminița Diaconu

This study evaluates ESG disclosures of 36 organizations in Bulgaria and Moldova using a Data Gap Matrix covering 15 indicators. It separates disclosure quality into availability, granularity, and auditability, finding auditability weakest.…

Institute of Environmental Sciences Leiden University, Rick Hagenaars

This study proposes a hybrid LCA framework for assessing drug-level carbon footprints under data constraints, applied to narrower-spectrum penicillin. Using the ICO-2023 EE-MRIO, it provides global and country-specific carbon footprints, co…

Marcin Kacperczyk

This package provides replication data and code for a study on carbon emissions and the bank lending channel. It includes pseudo data and a README to ensure reproducibility. Useful for assessing climate-related risks in financial institutio…

Yang Lu, Joston Gary

This study develops an environmental systems engineering framework for carbon-management decision support in prefabricated construction, integrating production and transport decisions under dynamic energy prices and carbon signals. A tri-ob…

Anirban Akhand, Inés Mazarrasa, Stacey M. Trevathan‐Tackett +10

A review of 102 studies finds that 56±25% of soil organic carbon in blue carbon ecosystems is allochthonous particulate organic carbon (POC). Including it in carbon accounting risks overestimation and double-counting, but its role in stabil…

Marcin Kacperczyk, José‐Luis Peydró

This paper studies how firm-level carbon emissions affect bank lending and real outcomes using global syndicated loan data. Exploiting bank climate commitments as shocks to lending relationships, it finds that high-emission firms borrowing …

Afsha Ali, Muhammad Kashif Khan, Farooq Ahmad +2

This review frames CO2 capture as part of an integrated carbon management system, covering catalytic conversion, biomass coupling, hydrogen integration, mineralization, and AI-assisted process design. It contrasts reactive capture with sequ…

Cristian Barón, Jorge Perpiñán, Begoña Peña

This paper assesses the technical and economic viability of integrating oxy-combustion with carbon capture and Power-to-Gas technology for decarbonizing glass manufacturing. By utilizing renewable hydrogen, it aims to reduce CO2 emissions a…

Junhao Ren, Honglin Gao, Sijie Wang +5

This paper proposes a multi-agent reinforcement learning approach to jointly design a low-carbon peer-to-peer (P2P) energy market and bidding strategies in microgrids. It optimizes economic and environmental outcomes, promoting renewable in…

Cristhiana Albert, Thilo Schmid, Zhidong Zhang +1

Decarbonizing concrete is vital for climate targets, but low-carbon mixes often reduce alkalinity, raising corrosion concerns. This paper proposes a framework combining moisture transport modeling and corrosion science to predict microclima…

Will Alpine, Nathan B. Geldner, Holly Alpine +1

This study models AI as a bidirectional productivity amplifier in a global CGE model, finding that AI-driven productivity gains in fossil fuel sectors lead to net CO2 emission increases of 0.47-1.8 Gt annually, outweighing reductions from r…

Almendra Awerkin, Paolo Falbo, Tiziano Vargiolu

This paper addresses two challenges in Renewable Energy Communities (REC): investment in renewable technologies and equitable sharing of incentives. Modeling a virtual REC with a household and a biogas producer as a leader-follower game, it…

Maxwell Woody, Gregory A. Keoleian

This study analyzes the carbon abatement costs of electric vehicles (EVs) across U.S. cities, finding that in many cities the costs are negative, meaning EVs offer both emissions reductions and economic benefits. The results highlight the i…