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 28621–28640 of 36417 papers
Chuxuan Wei
This study empirically analyzes the impact of the EU's CBAM on steel, aluminum, and downstream sectors like automotive, using a reproducible 'industry-product-factor' framework. It quantifies border carbon cost increases due to the absence …
Gian Luca Vriz, Theodor Cojoianu, Carolyn Fischer +1
This firm-level analysis of Indian steel exporters reveals that high-emission firms significantly reduced EU exports and revenues during the CBAM reporting phase, while low-emission firms maintained their levels. The supply chain adjustment…
Parisa Javadi, Patrick O’Rourke, Jay Fuhrman +5
This paper systematically quantifies the regional air quality and public health implications of six carbon dioxide removal (CDR) portfolios for the U.S. It finds that while both high- and low-CDR deployment avoid similar climate damages, th…
Abdullah A. Aljughaiman, Mosab I. Tabash, Suzan Sameer Issa +1
Using quantile VAR, this paper shows asymmetric volatility spillovers from EU-ETS to European emerging stock markets. In bullish conditions, transmission reaches 88%, with Greece, Poland, and Hungary most exposed, while Slovak equities act …
Dan Bettenhausen, James Casper, Adam Krueger
This study evaluates the net carbon balance of façade retrofits by comparing embodied carbon from materials with operational carbon savings. Using weather data and building orientations, it identifies conditions where retrofits effectively …
Owain Johnson
During the early COVID-19 pandemic, California carbon allowance prices fell below the floor price due to demand drop and risk aversion. The author advised clients to secure discounted forward contracts for December 2021 delivery, resulting …
Junhong Hu, Kaiyang Liu, Zhicheng Zhang +2
This study investigates the impact of service priority on multimodal transport route selection under carbon trading price uncertainty. It models carbon price fluctuations using a 'carbon K-line' distribution and quantifies service priority …
Owain Johnson
This paper details the development of carbon-compensated crude oil trading at Ecopetrol, Colombia's national oil company. After measuring the full carbon footprint of its key crude grade Castilla Blend, the company established a process to …
Chidinma Uchendu, Okechukwu Okorie, Fatemeh Khosravi +3
This PRISMA-guided systematic review synthesises 49 SME-relevant studies on Scope 3 emissions, developing a theory-informed, practice-oriented framework. It identifies that SME engagement is driven by cascading buyer and regulatory pressure…
Abu Bakkar Siddik, Abdulateif A. Almulhim, Mohammad Masukujjaman
This study examines how AI and blockchain (BC) financing affect energy transition (ET) in 15 emerging and developing economies from 2010 to 2022, with sustainable development as a mediator. Results show both promote ET by strengthening inno…
Stefanie Klein, Friedemann Polzin, Xander Urbach
This paper analyzes the relationship between credibility and financing of corporate transition plans in hard-to-abate sectors. It suggests that insufficient credibility can hinder financing and proposes a framework for assessing credibility…
Paul Ekins, Patrice Christmann, Mehmet Metehan Ciftci +2
This paper analyzes the investment challenges of scaling up production of energy transition minerals critical for low-carbon technologies. It highlights ESG risks, concentration of processing in China, and supply chain vulnerabilities, emph…
Andrea Gatto, Dario Salerno
This paper outlines the role of green finance in supporting climate action and the energy transition, discussing instruments such as carbon pricing, green bonds, and transition finance, along with policy alignment.
Varun Yadav, R. S. Verma
This study uses a mixed-methods approach to analyze the integration of ESG frameworks into corporate strategies. Based on global data from 500 firms and case studies, it finds that robust ESG reporting improves stakeholder trust and financi…
A. Sunitha, K. Srinivas, T.Radhika, B.Chandrakala Naik, P. Sandya Rani
This study examines how AI, big data analytics, and FinTech innovations affect ESG disclosure quality and corporate transparency, using survey data from 312 professionals in India, UAE, and UK, analyzed via PLS-SEM. Results show all three d…
A. Sunitha, K. Srinivas, T.Radhika, B.Chandrakala Naik, P. Sandya Rani
This paper empirically examines the combined impact of AI, big data, and fintech on ESG disclosure quality and corporate transparency using PLS-SEM on a sample of 312 professionals from India, UAE, and UK. Results show all three digital con…
Abdullah Albizri, Ahmad Jumah
This study develops a large language model (LLM) approach to measure firms' conformity with the TCFD framework from unstructured sustainability reports. Analyzing a sample of U.S.-listed firms, it finds that higher TCFD conformity is associ…
Shah Room
This scientometric review evaluates biochar (BC) as a carbon-negative additive in cement-based composites. BC at 1-2% improves mechanical properties, while >5-6% reduces performance. BC enhances microstructure via internal curing and pore r…
Kushagra Gupta
This thesis analyzes the impacts of policy-driven decarbonization measures on urban energy systems and the distribution of co-benefits, using Gothenburg, Sweden as a case study. Using the TIMES model, it projects long-term technology deploy…
Vijay Kumar
This paper examines the dual role of AI in sustainability: as an enabler of resource efficiency and green transition, and as a consumer of energy and resources. It discusses the Green AI movement prioritizing energy-efficient algorithms ove…
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