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.
Showing 101–120 of 2819 papers
Loso Judijanto
This qualitative review examines how EU climate instruments (ETS, CBAM, EUDR) affect developing economies, highlighting regressive cost burdens and non-tariff barriers. Using palm oil as a case, it shows how traceability rules can exclude s…
Yinglun Zhu, Xuan Zhou, Ziying Yang +1
This study evaluates the impact of China's carbon emission trading scheme (CETS) pilot policy on corporate green innovation using staggered DID and a panel of Chinese A-share listed firms (2008-2023). The policy significantly increases gree…
ZiQi Yin, Kangming Tan, Xuelan Zeng +1
This dataset provides product-level China-U.S. manufacturing trade data, production-stage carbon emission factors, embodied-carbon calculations, and production-relocation scenario results for 2020-2024. It enables analysis of carbon emissio…
Bing Zhou, Yue Sun
This study empirically analyzes the impact of transition finance on debt financing costs using Chinese A-share listed manufacturing firms. It finds that transition finance reduces debt costs through improved environmental disclosure, eased …
P C. Chen
This paper analyzes the EU's solar panel supply chain dependence on China, framing it as a shift from fuel dependence to embedded clean-technology dependence. It evaluates EU policy responses and Chinese import exposure, highlighting geopol…
Shen Xiaowang
This paper proposes an eight-dimensional framework for climate investment decision-making, integrating physical climate risk, transition risk, policy risk, and financial returns into a unified mathematical system. It demonstrates applicabil…
Mehmet Doğan Üçok
This paper assesses refining chokepoints in critical mineral supply chains, combining midstream concentration metrics with geopolitical risk scenarios. It highlights vulnerabilities from geographic concentration and derives policy implicati…
Elliot Romano, Alfredo Ernesto Oneto, Yael Frischholz +1
Modeling 719 Swiss Alpine municipalities, this study shows that local energy communities co-investing in grid infrastructure can increase renewable capacity by up to 50% and achieve the highest CO2 savings, while yielding net welfare gains.
Clara Andrada-Monrós, Elisa Peñalvo-López, Iván Valencia-Salazar +1
This paper presents a methodological framework for evaluating municipal energy transitions, focusing on the techno-energy pillar. It integrates diagnostic indicators, efficiency improvements, and renewable potential to quantify current ener…
Elias Skodras
This paper proposes Transport Energy Infrastructure (TEI) as a distinct infrastructure category for Europe's evolving transport and energy systems. It argues that the central constraint of the energy transition is shifting from generation t…
Isaac Akomea-Frimpong, Alexander Baah Amoakwa, Comfort Owusu Kedjah +2
This study explores critical success factors for climate finance in sustainable infrastructure projects. Using fuzzy synthetic analysis of survey data from stakeholders across countries, it identifies financial resilience strategies, decarb…
Kire Stavrov, Strahinja Trpevski, Natasha Malijanska Andreevska
This study develops an integrated methodology combining LiDAR data, GIS analysis, and dynamic solar simulation to assess solar energy potential in the built environment. It finds that roof geometry, orientation, and climate strongly influen…
Franco A
This paper proposes an integrated framework for transforming ports into energy hubs, integrating renewable generation, storage, green hydrogen, microgrids, and intelligent management. Using data-driven analysis and optimization, it supports…
Sharif M, Seker H
This paper proposes Agentic CAMA-DRL, a context-aware multi-agent deep reinforcement learning framework for optimizing charging infrastructure of last-mile delivery e-bikes. Four stakeholder agents coordinate via DQNs conditioned on real-ti…
Vrcelj Z, Sandanayake MS
This paper addresses the gap between AI technical performance and actual project decision changes in construction. Through a structured review of 34 studies, it proposes a Governed AI Project Controls Framework that separates data foundatio…
Toan PN, Hieu LTT, Nguyen NVT
This paper tests whether carbon pricing causes carbon leakage using crypto-mining, an electricity-intensive and footloose industry. Quantile regressions on daily data (2019-2026) show that in Russia, the interaction of Bitcoin returns and E…
Prina, Matteo Giacomo
This dataset provides normalized hourly wind power generation profiles for five European regions, generated using MERRA-2 and Renewables.ninja. It supports energy system modeling and regional planning.
Brown, Patrick, Carag, Vincent, Chen, Yunzhi +19
ReEDS is a capacity planning model for the power sector that simulates the evolution of generation and transmission from present to 2050 and beyond. It is used for scenario analysis of renewable deployment and grid expansion, supporting ene…
Marques Alves Aguiar, Gabriela
This replication package provides data and code for a fixed-effects panel analysis of OECD countries (2015-2023), examining whether stronger carbon-pricing signals are associated with lower per-capita GHG emissions. It offers reproducible e…
Bérard, Cedric
This snapshot demonstrates that NAM-classification-filtered portfolio allocation outperforms five naive baselines in expected avoided-loss NPV for climate adaptation of 725,462 substations across 39 OECD countries. At the reference cell, al…
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