GX Research Hub · English

GX & Decarbonization Research

This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open 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.

📊 SNE Research Profile →🔬 Researcher API →About gxceed →🇯🇵 日本語版
Shelf:All Papers🇯🇵→🌍 Japan-to-Global🌍→🇯🇵 Global-to-JapanCurated
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Showing 1–20 of 517 papers

Peer-reviewed🇯🇵→🌍 Japan-to-Global🇯🇵 JapanJournalEstuarine Coastal and Shelf Science2026#Carbon AccountingDOI

Ecosystem carbon storage including soil to 3 m depth and carbon increment along a young mangrove restoration in Central Thailand

Nada Yimatsa, Yuta Watanabe, Morimaru Kida +9

This study quantified total ecosystem carbon (TEC) stocks in a 10-14 year mangrove restoration in Thailand, including soil to 3 m depth. TEC increased with stand age, with soil organic carbon comprising >80% of stocks. Including deep soils …

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Preprint🇯🇵→🌍 Japan-to-Global🇯🇵 JapanZenodo2026#CCUSDOI

Data and code for a time-resolved and region-sensitive climate assessment of thirteen CO2 capture, utilization and recycling pathways for municipal waste incineration

Cheng, Tianjiao, Onoda, Hiroshi

This release provides complete data and code for a time-resolved, region-sensitive climate assessment of thirteen CO2 capture, utilization, and recycling pathways for a Japanese municipal waste incinerator. It harmonizes pathways onto a fos…

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Peer-reviewed🇯🇵→🌍 Japan-to-Global🇯🇵 JapanJournalSensors2026#AI × ESGDOI

A Multi-Sensor Machine Learning Framework Integrating UAV Multispectral Imagery and LiDAR Data for Living Biomass Carbon Stock Estimation in Silviculturally Treated Forests

Nyo Me Htun, Toshiaki Owari, Satoshi Suzuki +11

This study develops a multi-sensor machine learning framework integrating UAV multispectral imagery and LiDAR data to estimate living biomass carbon stocks in managed forests in Hokkaido, Japan. XGBoost achieved the highest accuracy (R2=0.8…

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🇯🇵→🌍 Japan-to-Global🇯🇵 JapanDatasetZenodo2026#Disclosure InfrastructureDOI

gxceed GX Disclosure Dataset v0.2 (2026Q3)

Kokubu, Hiroyuki

A quarterly snapshot of GX disclosure metrics machine-extracted from integrated and sustainability reports of TSE Prime-listed companies, covering Scope 1/2/3 emissions, SBT status, TCFD disclosure, CDP score, renewable ratio, internal carb…

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Peer-reviewed🇯🇵→🌍 Japan-to-Global🇯🇵 JapanJournalApplied Energy2021#Energy TransitionDOI

Evaluating decarbonization scenarios and energy management requirement for the residential sector in Japan through bottom-up simulations of energy end-use demand in 2050

Shimoda Y.

This study evaluates decarbonization scenarios for Japan's residential sector using bottom-up simulations of energy end-use demand in 2050. It identifies energy management requirements from combinations of efficiency, electrification, and r…

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Peer-reviewed🇯🇵→🌍 Japan-to-Global🇯🇵 JapanJournalJapan and the World Economy2026#Transition FinanceDOI

Fiscal Sustainability of Transition Finance: Implications for the GX Economy Transition Bonds in Japan

Shin‐ichi Fukuda, Akio Ino

This paper analyzes the fiscal sustainability of transition finance, using Japan's GX Economy Transition Bonds as a case study. It evaluates the government's fiscal burden and the inducement effects on private investment, examining the feas…

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Peer-reviewed🇯🇵→🌍 Japan-to-Global🇯🇵 JapanJournalJournal of Advanced Mechanical Design Systems and Manufacturing2020#Supply ChainDOI

Decision support model for economical material carbon recovery and reduction by connecting supplier and disassembly part selections

Hayate Irie, Tetsuo Yamada

This study proposes a decision support model integrating supplier selection and disassembly part selection to optimize CO2 reduction and cost in global supply chains. Using 3D-CAD and LCI database, a BOM is built, and 0-1 integer programmin…

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Peer-reviewed🇯🇵→🌍 Japan-to-Global🇯🇵 JapanJournalJournal of Intellectual Property Law & Practice2023#data_governanceDOI

Building a ‘Green Data’ Future: how a human-centric approach to data and nudges can help fight climate change

Mark Fenwick, Paulius Jurčys

This paper argues that the 'green value' of sensor-generated data is underutilized in climate action, proposing a user-held data model where data belongs to users. It explores applications in green lifestyles, smart cities, and green innova…

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🇯🇵→🌍 Japan-to-Global🇯🇵 JapanReport神戸大学経営学研究科 ディスカッション・ペーパー2026#Disclosure Infrastructure

Challenges of SSBJ Standards: Insights from Comment Letters and Interview Surveys

資料:コメントレターとインタビュー調査からみるSSBJ基準の課題

中尾 悠利子, 國部 克彦

This document analyzes comment letters and interviews on SSBJ standards, identifying practical challenges. It contributes to the development of Japan's disclosure framework.

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🇯🇵→🌍 Japan-to-Global🇯🇵 JapanReport神戸大学経営学研究科 ディスカッション・ペーパー2026#Disclosure Infrastructure

Why Sustainability Disclosure Standards Fail: Dysfunction of Materiality and Lack of Value-Relevant Information

サステナビリティ開示基準はなぜ使えないのか ―重要性/マテリアリティの機能不全と価値情報の欠落―

國部 克彦

This paper critically examines the dysfunction of materiality in sustainability disclosure standards, arguing that current frameworks fail to provide value-relevant information to investors. It highlights challenges and suggests improvement…

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Peer-reviewed🇯🇵→🌍 Japan-to-Global🇯🇵 JapanJournalJournal of Environmental Engineering (Transactions of AIJ)2026#Energy TransitionDOI

DECARBONIZATION METHODS FOR DETACHED HOUSES CONSIDERING DYNAMIC CO<sub>2</sub> EMISSION FACTOR

Shoko SUZUKI, Jungmin KIM, Momoka WATANABE +6

This paper proposes decarbonization methods for detached houses that incorporate dynamic CO2 emission factors. By reflecting the time-varying carbon intensity of electricity, it enables more accurate assessment of emission reduction effects…

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Peer-reviewed🇯🇵→🌍 Japan-to-Global🇯🇵 JapanJournalUrban Science2026#Energy TransitionDOI

Urban Energy Transition Toward 2050 Through Gradual Diffusion of PV, EV, and V2H: A Scenario-Based Assessment in Suita, Japan

Yutaka IWASAKI, Takuro Kobashi, Yukari Fuchigami +1

This study proposes a scenario-based framework to quantify year-by-year impacts of gradual rooftop PV, EV, and V2H deployment from 2018 to 2050. Using Suita City, Japan, it assesses five dimensions: CO2 reduction, cost savings, self-consump…

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🇯🇵→🌍 Japan-to-Global🇯🇵 JapanDatasetZenodo2026#Renewable EnergyDOI

DC Microgrid Simulator Data Files (Sendai 2023)

Yamada, Hirohito

This dataset provides 2023 solar irradiance, household load, wind speed, and EV charging data for a DC microgrid simulator in Sendai, Japan. It supports research on renewable integration, battery management, and disaster-resilient distribut…

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