This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 14 contributing scholarly metadata sources and uses AI-assisted classification to identify signals related to measurement, policy narratives, outcomes, implementation, industrial adoption, and verification.
The goal is not only to discover papers, but to observe how GX research is distributed across research substance, implementation narratives, external expectations, implementation substance, and judgment formation.
Summaries are AI-assisted. Always refer to the original paper for authoritative conclusions.
Showing 781–800 of 4132 papers
Guiyuan X.
This paper analyzes the impact of carbon emission trading schemes (ETS) on the electricity market under China's dual carbon goals (peak emissions by 2030, carbon neutrality by 2060). It examines effects on electricity prices, generation mix…
Krueger P.
This paper empirically analyzes the effects of mandatory ESG disclosure regulations worldwide. It examines how such regulations influence corporate behavior and market outcomes, potentially reducing information asymmetry and improving ESG p…
Moutet L.
This systematic review synthesizes evidence on public health co-benefits of strategies aligned with net-zero emissions, such as renewable energy, low-carbon transport, and energy efficiency. It identifies air quality improvement as a key pa…
Browning M.
This paper analyzes multiple scenarios for the United States to achieve net-zero CO2 by 2050 using the Energy Modeling Forum 37 (EMF37) framework. It compares technological, economic, and policy pathways, assessing feasibility and cost impl…
Bataille C.
This paper analyzes transition pathways for the industrial sector toward net-zero emissions, discussing new supply chain configurations, modeling challenges, and policy implications. It examines technological, economic, and institutional ba…
A. Andrikopoulos, P. Michaelides, Guanxia Xie
Using patent data from over 3,500 Chinese listed firms, this study develops a structural model to show that ESG disclosure significantly boosts green innovation: disclosers see a 15.8% increase in green patent applications and 21.4% in auth…
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…
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