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 10601–10620 of 17042 papers
Keitel S.S.
Explores the challenge of greenwashing in green bonds, discussing current issues and potential solutions.
Flammer C.
This study examines the impact of green bonds on carbon emission reductions, analyzing issuer-level data and highlighting the importance of use-of-proceeds tracking.
Kim H.
This paper proposes an integrative economic framework incorporating the Emission Trading Scheme (ETS) for U.S. residential energy systems. It provides policy insights for decarbonizing the residential sector.
Li H.
This paper analyzes cooperative decision-making among competing supply chains under a carbon trading mechanism. It investigates how emissions trading affects cooperation and competition between supply chains, revealing the impact of carbon …
Abdulateef Z.N.
This paper calculates greenhouse gas emissions from road vehicles in Baghdad City using IPCC methodology. It provides a localized emissions inventory, though specific results are not available due to missing abstract.
Bellucci F.
This research focuses on methodologies for measuring and reporting greenhouse gas (GHG) emissions at the urban scale, discussing improvements to city-level emission inventories and alignment with international reporting standards.
Samir N Jena, Lala Sibani Chand, Anubhutie Singh
This paper proposes a neuro-symbolic NLP pipeline for automated verification of BRSR disclosures in India. It uses 4-bit quantization for local execution and a deterministic regex layer to filter hallucination, enabling offline greenwashing…
Gizem Bediroğlu, Feyyaz Zeren
This paper uses a novel machine learning framework (QQKRLS, WKRLS, RWKRLS) to analyze the determinants of the US Green Finance Index from 1961 to 2024. It finds that economic growth and ESG performance are key drivers, while geopolitical ri…
Yujia Liu, Ziliang Ma, Huizhen Yan +1
This study uses panel data from 278 Chinese cities (2012–2023) to examine whether digital–intelligent technology innovation promotes urban pollution–carbon synergy (simultaneous CO2 reduction and air pollution improvement). Results show a p…
Ahmed Adjal, Venera-Stanca Nicolici, Eugenia Grecu +1
This paper proposes a Quantum-Verified Green Bond (QVGB) framework to address opacity in sustainable debt markets. It uses NV-center quantum sensors for real-time CO2/CH4 measurement at physical precision limits, and quantum key distributio…
A. Avcı, Ramazan Selçuk
This study analyzes the techno-economic and environmental performance of hybrid energy systems for off-grid eco-industrial parks, assessing the feasibility of renewable energy integration.
Faisal D. Aljabali, S. Jribi
This study evaluates renewable alternatives for an oil and gas facility in KSA, comparing PV and a multi-generation CSP system. The PTC-BC-RC system achieves higher efficiency, produces hydrogen, and has a payback period of 5.13 years, miti…
Budhi Santoso, Cynthia Amalia Gunawan, Eryca Dea Putri Ardiana Pratami +2
This case study examines how PT Blue Bird Tbk integrates sustainability and ESG strategy into its strategic management in Indonesia's mobility industry. It highlights the company's progress in low-emission fleet investment and digital innov…
Khurelbaatar Batjargal, Nyamaa Dulamsuren, Ser Od Bayaraa
This paper proposes improving mineral asset valuation methods within sustainable mining initiatives and IFRS sustainability standards to bridge stakeholder expectations. Integrating TSM into valuation links ESG performance to financial outc…
Edoardo Beretta, Salome Jugeli, Elena Tsipas Mancinotti
This brief report examines data governance and regulatory complexity in integrating ESG factors into asset management and corporate reporting within the EU. It analyzes frameworks such as CSRD, SFDR, EU Taxonomy, and ESRS, highlighting chal…
Dwi Nova Wijaya, Rommy Mochamad Ramdhani, Dewi Fitrotus Sa’diyah
Using panel data of 3,794 Indonesian listed firms (2018-2024), this study analyzes how narrative and quantitative ESG disclosures affect firm value (Tobin's Q). Quantitative disclosure significantly increases firm value, while narrative alo…
Meghann Smith, Manveer Mann, Pankaj Lal
This study compares life cycle assessment (LCA) of data center IT equipment with conventional corporate GHG accounting methods (average-data and spend-based). LCA yields 0.710 kg CO2 eq/kWh, close to the average-data method (0.723 kg CO2 eq…
D. Natalini, Simon Sharpe, Aled Jones +1
This paper uses an agent-based model to compare the cost-effectiveness of carbon tax and cap-and-trade policies. It finds that a carbon tax achieves faster emission reductions and lower cumulative emissions and fossil fuel investment waste …
Linxin Miao, Ruanming Huang, Tianli Song +1
This study constructs a coupled LEAP-NEMO model to analyze Shanghai's energy transition pathways through 2060. Results show renewable energy share reaching 67% and coal-fired power capacity peaking in 2030 under optimized scenario.
Emilia den Boer, Kamil Banaszkiewicz, Iwona Pasiecznik +4
This study assesses energy recovery from municipal solid waste in a Polish municipality using experimental data and LCA. The target system (anaerobic digestion + incineration) achieves negative GHG emissions (-72 to -81 kg CO2-eq/ton) from …
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