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 1–20 of 4285 papers
Tian-Jiao Dai, Zhanjiu Hao, Junfeng Chen +5
This paper reviews three decades of port emission inventory methods, tracing the shift from top-down fuel-based and bottom-up power-based approaches to high-resolution dynamic methods using multi-source data fusion. It identifies key limita…
Jing-Wei Liang
Framing CBAM as a shift from cost to green competition, the paper builds a Scope 1/2/3 supply-chain framework and compares Apple and BYD across four strategy dimensions. CBAM imposes heavy compliance costs but also opens strategic opportuni…
Qianqian Xue, Shuoshuo Zhao, Changyu Zhou +1
This study combines material flow analysis, LCA, and policy text analysis to compare end-of-life management of EV batteries, PV modules, and wind blades across China, the EU, and Japan. Global 'new trio' waste is projected to exceed 16.7 Mt…
Fakhreddine, Jana, Joshi, Siddharth, Cassamassima, Luca +4
A multi-model intercomparison (TIAM-UCL and MESSAGEix) of global hydrogen trade across six Paris-aligned 1.5°C and 2°C scenarios. Trade is essential to scale the hydrogen economy: intra-regional pipelines reach 3–22 EJ/yr by 2050, while int…
Loyola Angosto, Cristobal
A dataset of Land Environmental Assessment Factors (LEAFs) supporting SBTN Land v2, covering soil organic carbon, soil erosion, and terrestrial acidification. Factors are provided as rasters, geopackages aggregated at ecoregion, sub-country…
Putra Wuna, Badingatus Solikhah, Siew H. Chan
Using 32,005 firm-year observations from Taiwan's TEJ database (2019–2024), this study examines how ESG scores relate to the transparency of Scope 1, 2, and 3 carbon disclosures among TWSE and OTC listed non-financial firms. While Scope 1 a…
Ryu Koide, Hide‐Fumi Yokoo, Ryo Tajima +5
A randomised experiment testing whether a carbon footprint calculator intervention shifts consumption behaviour, citizenship intentions, and support for climate policy. It offers causal evidence on whether personal carbon-footprint tools ac…
Luderer, Gunnar, Riahi, Keywan, Mathur, Ritu +5
First policy brief from the Science Panel for the Global Energy Transition. Using Paris-aligned modelled pathways reflecting 2025 emissions trends and clean technology status, it sets quantitative milestones for the fossil fuel transition—d…
Yong-Gun Kim, Haein Kim, Tae Yong Jung +2
This study links a computable general equilibrium model with a power-system model to assess how regional low-carbon power trade in Northeast Asia affects national macroeconomies. It quantifies the economic effects and policy implications of…
Zeyu Wang
This paper analyzes how Climatiq's AI carbon computing capabilities are translated into thyssenkrupp Rasselstein's transport and procurement processes via the Celonis platform, supporting Scope 3 emission reduction potential identification.…
Hussein H. Sharaf-Addin, Ahmed Abdullah Saad Al-Dhubaibi
A PRISMA-based systematic review synthesizing 163 studies (2005–2025) on corporate carbon accounting. The GHG Protocol dominates practice but methodological variation persists; Scope 3, though 70–90% of footprints, remains critically underr…
Nitin Singh, Kee‐hung Lai, Zuopeng Zhang
This study examines how firms can use generative AI to create value in ESG reporting. It finds GenAI drives digital innovation via automated data extraction, accelerated analytics and dynamic reporting, enhances stakeholder engagement by in…
Lambert Schneider, Sophia Lauer
This dataset supports a study quantifying how inaccuracies in historical deforestation baselines create risks for jurisdictional carbon crediting. It shows that baseline errors can lead to over-issuance and reduced environmental integrity. …
YangYu You, Takuyuki Yoshioka, Hyun Bae Kim
This study examines the marginal carbon impacts and energy contributions of low-grade wood biomass within optimized supply chains. It assesses how supply-chain design choices shape the decarbonization value of biomass use. Without an abstra…
Pothin, Florian, Rondeau, Fabien, Razafindrabe, Tovonony +1
This replication package accompanies a study that corrects corporate Scope 3 disclosures category by category across the 15 GHG Protocol categories. Each firm report is classified as activity exclusion, boundary incompleteness, or sound dis…
Sudipta Bose, Farhana Islam, Kristina Minnick +2
Using 16,274 firm-year observations from 50 countries (2007–2023), this study shows that higher firm-level carbon risk is associated with greater financial constraints. High-quality carbon disclosure weakens this link by reducing informatio…
Fraunhofer Institute for Environmental, Safety and Energy Technology UMSICHT
This deliverable translates NET-Fuels pilot results into two industrial-scale reference concepts, providing engineering and economic assessments. It evaluates two brownfield integration cases—a refinery/wood residue case and a biogas/digest…
Persson, U. Martin, Singh, Chandrakant, Kastner, Thomas +3
A harmonized life-cycle inventory database covering 183 agricultural commodities across 179 countries (2005–2024), conforming to the new GHG Protocol Land Sector and Removals Standard. Footprints vary by orders of magnitude, driven mainly b…
Erofeev, Yury, Majer, Stefan, Thrän, Daniela
This deposit accompanies a paper validating a layered indicator specification for corporate aviation Scope 3 (Category 6) reporting. It contains anonymised data from a two-round modified Policy Delphi (N=211; N=172 matched), all analysis ou…
Qinwen Tang, Tianyi Wang, Nan Zhou +1
Combining a Kaya-based emission model with Monte Carlo uncertainty analysis, this study projects operational carbon trajectories for commercial buildings across 16 countries from 2024 to 2060. China's emissions peak around 2033 at 1,150 MtC…
Browse by Topic