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 941–960 of 4160 papers
Firat Bolat, Hande Demi̇rel
This study integrates Sentinel-5P TROPOMI satellite observations with AIS data to monitor ship emissions in the Istanbul Strait, estimating annual CO2 of 213,678 t, NOx of 5,970 t, and SOx of 686 t. A correlation of 0.76 between AIS-derived…
Paolo Bertoldi
Energy efficiency is the most cost-effective way to cut emissions, yet a large investment gap persists. This paper analyzes barriers (small fragmented projects, lender risk aversion, split incentives) and examines instruments from public su…
Paul Tautorat, Darius Sultani, Natalija Ljubic +3
This study develops a real options valuation model to analyze decarbonization investments in 179 EU cement plants under uncertainties in allowance prices, CCS costs, and CO2 infrastructure. Results show that uncertainty perception strongly …
S. H. Okasha
This study evaluates HFO, LNG, and ammonia for a 15,000 TEU containership on the Rotterdam-Singapore route using an OPEX-based multi-scenario framework. The Red Sea crisis raises operating costs across all fuels, with ammonia showing the sm…
Yasuo Takao
This article analyzes the institutional mechanisms of urban carbon markets through a qualitative case study of Tokyo's Cap-and-Trade System (TCTS), the world's first mandatory city-level ETS. It finds that TCTS operates more as a baseline-a…
HaoMing Chen, XiaoHong Wang, Zunli Dai +2
Using EORA MRIO and LMDI, this study analyzes China's trade-embodied carbon emissions (2010-2020). Production-side carbon intensity declined but the electricity, gas, and water sector shows high-carbon lock-in. China remains a net exporter,…
J. Nel, Leana Esterhuyse
This study analyzes climate-related scenario analysis (CRSA) disclosures of 32 JSE-listed basic resource companies against TCFD and IFRS S2. While most large firms are aligned, smaller firms show inconsistent disclosure due to resource cons…
Ruxue Du, Han Han, Gege Yin +3
This Perspective proposes a next-generation building heating system integrating renewable energy-driven heat pumps with synergistic thermal and electrical energy storage. Techno-economic modeling reveals the superiority of combined TES-EES …
Jie Chen, Xudong Yin, Tianbo Zhou +3
This review comprehensively covers multiscale structural engineering of smart textiles for personal thermal management. By integrating material properties to fabric topology, it enables dynamic control of heat transfer, reducing reliance on…
Huang Qunchao
This conceptual paper examines ethical tensions in renewable energy transitions, focusing on end-of-life material risks from PV, wind blades, and batteries. Drawing on Jonas, Rawls, and Gardiner, it argues for 'bounded acceleration' linking…
Sobia Naseem
This study examines the asymmetric effects of ICT, renewable energy, FDI, and economic growth on CO2 emissions in G-20 countries from 2000 to 2022 using DOLS and PMG-ARDL. Findings show that FDI, growth, and ICT increase emissions, while re…
Boyuan Wang, Zhifeng Sun, Yongzhi Zhou +5
This study addresses the benefit divergence between overall system and PV utilization under high-proportion building PV, proposing a framework with carbon constraints and grid absorption costs. Using a Beijing retrofit office, it compares t…
Xingyu Zhang, Rameshwari Verma, Hou Bofang +3
This review systematically organizes recent advances in MXene-based electrocatalysts for the hydrogen evolution reaction (HER), explaining innovations in catalyst design and strategies for performance enhancement. It provides materials scie…
Shuyang Wang, Lim Thye Goh, Santha Chenayah
Using data from 32 economies (2010-2023), this study shows that EV penetration (stock and sales) significantly reduces carbon emission intensity (CEI). Effects are stronger in high-income countries, while urbanization increases CEI. Finding…
Kjartan Sigurðsson
This chapter analyzes AI's transformative role in sustainability reporting, particularly ESG, arguing it represents institutional change rather than mere technological improvement. It examines how blockchain, generative AI, and real-time mo…
Thing-Yuan Chang, Chien-Chih Chen, Chin-Hsien Hsu +2
The food supply chain emits 13.7 billion tons of CO2e annually, yet accurate Product Carbon Footprint (PCF) estimation is inaccessible to many manufacturers. This study proposes a machine learning framework combining Gaussian Mixture Model …
Kangyi Cai, Hongyan Ma
Introduces CM-CA, a dataset on CO2 mineralization in coal ashes, standardizing indicators for material properties, reaction conditions, and CO2 uptake. Aims to facilitate data-driven analysis and machine learning modeling, advancing CCUS te…
Paul Kron
This paper estimates the carbon cost of a large language model (LLM) query using life-cycle analysis and greenhouse gas emissions, calculating an ultimate cost of approximately $0.4 per query (about 10 gCO2eq/query) for future generations. …
Robert S. Kaplan, Karthik Ramanna
This paper details the accounting infrastructure for E-ledgers, a system for real-time, verifiable carbon accounting. It specifies journal entries for E-liabilities and E-assets, explains inter-entity articulation, and aggregation into a ge…
Bo Wen, Dayi He, Ping Lei
This study compares the low-carbon resource allocation effects of green credit (market-oriented) and green subsidies (government-led) within a unified framework. Using data on China's A-share listed firms, it finds that both policies prefer…
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