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 669 papers
Joo, Hyunkyung, koo, Yoonmo
Linking a bottom-up steel technology model with a recursive-dynamic CGE for Korea, the study compares carbon-tax revenue uses: retention, production-tax rebate, and 50% recycling into steel R&D. Recycling activates all eight pre-commercial …
Kamasela, Dianti, Kubo, Nonoka, Hasegawa, Tomoko +1
A bottom-up assessment of AFOLU mitigation potential across 149 countries, incorporating income-linked technology availability and country-specific CDR parameterization. Under SSP2-2°C, global potential reaches 8.5 GtCO₂eq/yr by 2100—about …
Nishiura, Osamu
This study updates energy and Social Accounting Matrix data in AIM-Hub, a recursive dynamic CGE-based IAM, and examines how calibration period choice affects mitigation scenario quantification. In the OECD & EU region, calibrating to more r…
Kwun, Jiwon
Using a modified GCAM-KAIST framework, this study models clean ammonia supply chains and utilization pathways for Korea's net-zero transition. It represents production via a modified Haber-Bosch process integrated with renewables and electr…
Jundai Koketsu, Aya Ishigaki, Ryuta Takashima
A spatially explicit electricity–fuel–CO2 optimization model for 46 Japanese prefectures evaluates CCU's system-level value across 1,331 scenarios of emission caps, power decarbonization, and industrial electrification. CCU has positive val…
Toyohara, Jin
DC-DECOM is a multi-regional bottom-up linear programming model of Japan's data center decarbonization over 2024-2040. Version 2.0.0 adds 96 representative hours, endogenous siting, grid constraints and reinforcement costs, non-fossil certi…
Bai Y.
An empirical study examining how green bond issuance affects the environmental and financial performance of Japanese listed firms. It tests whether green financing translates into environmental improvement and financial outcomes using Japan…
Jundai Koketsu
Companion data-and-code package for a spatial optimization study of CCU across 46 Japanese prefectures, co-optimizing electricity, fuel, and CO2 flows under a net emission cap. Solving 1,331 scenarios with and without CCU, it finds positive…
Eeva Aarnio, Frans Pieter de Vries
This paper assesses the feasibility of linking the UK and EU Emissions Trading Schemes, following the Spring 2025 announcement of intent to establish a link. Evaluating market design, political economy, economic, and environmental dimension…
Jae-hoon Jung, Kangwook Cho, Soojin Park
A data paper releasing an assembled panel of annual electricity generation, fuel prices and carbon prices for 38 OECD countries, 2003-2024 (836 country-years, 33 columns). It includes computed results underlying every table and figure in th…
Amatatsu Y.
This study empirically assesses the greenium—the yield premium—of transition bonds issued by Japanese electric utilities relative to conventional bonds. It tests whether transition finance actually lowers issuers' cost of capital, offering …
Chewpreecha U.
This paper develops a 'total carbon pricing' framework that assesses both direct carbon prices (carbon tax, ETS) and indirect carbon price signals (energy taxes, regulations, subsidies) affecting Japanese firms. It reveals the hidden effect…
Yueh-Cheng Huang
Releases a dataset and code for measuring whether photos in sustainability reports actually evidence the adjacent text claims. Covers 443 Chinese-language reports from 150 listed Taiwanese firms (52,568 pages, 17,450 photos), classifying ea…
Sanoh Yusuf
This paper applies text-mining methods to analyze climate transition risk under uncertainty using Japanese equity market data. It appears to extract transition-risk signals from corporate disclosures and empirically link them to market valu…
Dami Moon, Sumiaki Kusahata, Yoshihiro Kawahara
This study proposes and validates an automated method using a Vision-Language Model to extract product-specific attributes (e.g., fabric composition) from unstructured user-generated content on C2C platforms and calculate product-specific G…
Woo Chul Kang, Seong Bin PAK
This study analyzes transition finance through a policy-mix lens, examining Japan's steel industry as a case. It maps the strategies, policy instruments, and actor structures shaping industrial decarbonization finance. The work illuminates …
Cheng, Tianjiao, Onoda, Hiroshi
This release provides the full machine-readable data and calculation chain for a harmonized fossil-carbon assessment of 13 carbon-management pathways at a modal Japanese municipal waste incinerator, resolved across ten grid regions with CO2…
Xianbing Liu
Using daily data from July 2021 to December 2025, this study examines price interactions between China's national ETS, the Shanxi electricity spot market, and regional fossil fuel prices via event study, VECM, and multivariate regressions. …
Uehara, Sho
This study empirically examines how carbon pricing propagates cost burdens across supply chains in Japanese industries, factoring in exchange-rate fluctuations. It links carbon costs with currency volatility to assess distributional and com…
DIVYANSHU PRADHAN Divyanshu pradhan, Sanchit Sanchit
Proposes a federated Unified Carbon Footprint Management portal calibrated for India, pairing a deep-learning lifestyle baseline with a barcode-driven product tracker. Among 12 regression models, an MLP achieves R²=0.8963 for lifestyle carb…
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