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 2741–2760 of 31218 papers
Melike Atay-Polat, Ümit Bulut, Ahsen Seda Kilic‐Bulut
Using panel quantile regression on 17 European green-bond-issuing countries (2014-2023), this study finds that green bonds reduce CO2 emissions, controlling for income, renewable energy, urbanization, environmental patents, and schooling. I…
Zhelun Zhu, Jiacheng Liu, Ye Yuan
This provides replication materials for a study examining how ESG rating divergence shapes corporate financial reporting behaviour and the validity of the underlying evidence base. It enables reproducible testing of whether disagreement amo…
Sharizal Ahmad Sobri, Raunak Bishwa Lohar, Waqas Umerdraz +4
This chapter examines sustainable corporate practices in the UK's net-zero transition across energy, manufacturing, and service sectors. Using the EN-ROADS simulator and statistical analysis, it quantifies sectoral emission reductions, rene…
Lilia S. Revenko, Nikolay S. Revenko
This paper reviews Japan's legal and regulatory framework for industrial decarbonization, centering on the 2023 GX Promotion Act. It systematizes key measures including emissions trading, a fossil fuel surcharge, and investment in renewable…
Tahmina Akther Mim, Filipa Martinho, João Rodrigues dos Santos
Using Granger causality, DCCA and wavelet coherence for 2008–2023, this study examines how oil price uncertainty drives exchange-rate vulnerability in five Asian oil importers (China, India, Japan, South Korea, Thailand). Energy dependence …
Álvaro García Riazuelo, Rosa Duarte, Cristina Sarasa +1
Using Aragón (northeastern Spain) as a case, this study analyzes the rapid, largely unplanned expansion of wind power and its spatial concentration and territorial conflicts via geo-referenced spatial techniques and energy balance analysis.…
Turissa Pragunanti Ilyas, Dony Kushardono, Parwati Sofan +4
This study estimates seagrass carbon stocks using remote sensing data and links them to economic valuation in South Sulawesi, Indonesia. It offers a method for quantifying coastal blue-carbon storage, contributing foundational evidence for …
Konuhova M, Bezrukovs V, Bezrukovs V +4
A cross-technology review of hydrogen compression for decentralized green hydrogen, comparing mechanical, liquid-piston, electrochemical, metal-hydride and hybrid systems on pressure ratio, specific energy, thermal behavior, purity, dynamic…
FAKRA DAH, RANDRIANTSOA ANA, ANDRIAMANDROSO MN +2
This paper presents a forecasting approach integrated into SMARTEN v2, a computational platform for multiscale supervision of hybrid energy systems. It jointly forecasts renewable production and electricity consumption across building, dist…
Fakhreddine J, Joshi S, Cassamassima L +3
Two global energy system models (TIAM-UCL, MESSAGEix) are compared under harmonised Paris-aligned scenarios to assess hydrogen trade. Both project a more distributed, regionally integrated market than today's centralised fossil fuel trade: …
Hatton, Luke, Oluleye, Gbemi, Staffell, Iain +3
This study quantifies the opportunity loss (tCO2/MWh) of diverting renewable electricity to green hydrogen using a global geospatial model, comparing hydrogen end-uses against direct electrification, EVs, and heat pumps. Results are benchma…
Fan, Wei
A MATLAB code repository for reliability-oriented power system planning in China, comprising an integrated planning/operation model (RIPOM), a reliability assessment dispatch model (RADM), and a unit-level retirement model (ULRM). Solved vi…
Bianchi, Marco
This dataset compiles quantified vulnerability indicators for green hydrogen value chains, assessed through trade dependencies. It provides metrics at product, stage, and system aggregation levels, enabling comparison across the full produc…
Al-Fajri, Syukron, Syafii, Syafii
This study proposes a low-cost AC-side IoT monitoring system (ESP32, PZEM-004T) to evaluate residential rooftop PV-grid interaction in Indonesia. Measuring PV output, grid line, and household load, it classifies export/import states and qua…
Barre, Francis, Pastor-Vallés, Elisa, Ebrahimi, Babak +1
This study applies life cycle assessment to five net-zero technologies: wind, solar, batteries, hydrogen, and carbon capture. Wind and solar PV show lower per-kWh impacts than the European grid mix, while batteries benefit from higher effic…
Ian-Marius, Peters
This paper proposes three alternative metrics—bound reserves ratio (BRR), critical raw mineral (CRM) classification, and industry-based LCAs—to assess sustainable material selection for perovskite solar cell (PSC) modules, addressing the la…
Chen, Yang
This repository releases the analysis code, processed data and figures for a study showing China's shift from pollution haven to decarbonisation-technology supplier. It covers GLORIA v060 MR-SUT embodied-emission accounting (1990-2024), MEI…
Ghandi, Mahsa, Varela, Isabel, Hajian, Rozhin +1
This paper releases code, configuration, result tables, QA output and figures for a time-explicit, prospective and dynamic LCA comparing a geothermal energy network (GEN) with the distributed gas-and-oil system it replaces (REF) on an ident…
Pengju Li
This study optimizes energy use, thermal comfort, and carbon emissions for an underground supermarket in Xuzhou, China. Using 2000 Latin hypercube samples, BP neural network surrogates, Morris sensitivity analysis, NSGA-III, and entropy-wei…
Benjamin Cox, Ben Murphy, Zahrana Nadifa Ramadhanty +2
This paper argues that decarbonizing the copper supply chain—critical for the energy transition—requires maximizing copper recovery and recycling. It links rising copper demand from renewables and electrification to the need to cut mining a…
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