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 9261–9280 of 33989 papers
Thu Hang Ha, Lan Hoang Nguyen, Q. H. Nguyen +3
This paper presents SmartGHG, an Excel-VBA tool for automating Scope 1 and 2 GHG emission calculations at Vietnamese thermal power plants, aligned with Circular 38/2023/TT-BCT and Decision 2626/QĐ-BTNMT. It integrates national emission fact…
Tianzheng Luo, Zhipeng Cui, Zixin Tian
This study uses a difference-in-differences approach on 105 Chinese listed construction firms (2010-2020) to show that the Green Finance Reform and Innovation Pilot Zone (GFRIPZ) policy significantly boosts green innovation, with improved f…
Sohidul Islam, Reday Chandra Bhowmik, H. G. Sulimany +3
Using quantile-on-quantile regression on G7 data (1995-2023), this study finds green finance consistently reduces ecological footprint, while green innovation and recycling show positive effects in most quantiles, and energy transition has …
Xufei Li, Junfa Fu, Qi Ding +2
This review summarizes recent advances in hydrogen-bonded organic frameworks (HOFs) for C2 gas separation, including C2H2/CO2, C2H2/C2H4, and C2H6/C2H4. HOFs offer low-energy adsorptive separation alternatives to traditional distillation, p…
Akshay Mehta, K. Sonawane, P. Saini +3
This paper presents a digital CCUS subsurface monitoring framework integrating sparse seismic, 3D/4D seismic, and VSP data. It leverages AI/ML for plume tracking, leakage risk assessment, and uncertainty management. The modular, cloud-enabl…
Akshay Mehta, K. Sonawane, P. Saini +3
This paper proposes a KPI-driven digital platform for CCUS operations, integrating IoT, cloud, and predictive analytics to unify data from capture, transport, and storage. It enables real-time monitoring, anomaly detection, and automated ca…
Annisa Fithria, R. Ainy, Andreas Vernando +2
Using panel data of 576 banks across 62 countries from 2009-2023, this study finds that IFRS adoption is positively associated with ESG disclosure, especially for environmental and social components. Major events like the Paris Agreement an…
Chethan K Murthy, Prateek Verma, Subhash Mondal
This paper introduces an agentic AI ESG consultant using a privacy-preserving, localized RAG system to automate ESG compliance gap analysis for regulations like CSRD and BRSR. It bridges corporate disclosures and legal statutes via iterativ…
Aliyah Ardiwati Puspita, I. Imronudin
This study examines the impact of eco-efficiency and ESG disclosure on the financial performance of LQ45 companies listed on the Indonesia Stock Exchange from 2021 to 2024. Using 84 firm-year observations, the analysis reveals that variatio…
Tong Ni, Wanlong Huang, Yifei Tang +2
This paper addresses low liquidity and fiscal policy mismatches in Green Electricity Certificate (GEC) markets by developing a supply-demand model integrating tax credits and tiered carbon taxes. Using an ε-constraint multi-objective optimi…
Nhung Nguyen-Hong, Anh Vu-Tuan, Tung Vu-Quang
This paper proposes an optimization framework for a Virtual Power Plant (VPP) integrating CCS and P2G technologies, participating in both day-ahead electricity and carbon trading markets. Using mixed-integer linear programming, it maximizes…
Teru Ogawa, Junji Otani, Mika Goto
This study examines the impact of participation in environmental initiatives (RE100, SBTi) on productivity for 642 Japanese manufacturing firms. Using propensity score matching and a Malmquist index from DEA with panel models, it finds that…
Yutong Shen, Wang Yang, Yue Shen
CogDeBias is a multilingual framework integrating LLMs and ML to automatically detect and mitigate six cognitive biases (e.g., confirmation bias, sunk cost fallacy) in corporate annual reports. A bilingual corpus of 1,200 reports (600 Engli…
Yihan Qiao
This paper empirically analyzes the impact of carbon emission intensity on firm value using panel data of Chinese A-share listed companies from 2003 to 2021. The results show that carbon emission intensity has a significant negative effect …
Elisa Di Febo, Eliana Angelini
This paper proposes a macro-level Climate Resilience Score (CRS) for integrating climate vulnerability into bank credit risk assessment. It combines physical risk, energy efficiency, emission intensity, and circular economy indicators using…
Tunahan HACIİMAMOĞLU, Doğan KEŞAP, Oğuzhan SUNGUR
This study examines the relationship between economic growth, forest product exports, and forest load capacity factor in BRICS countries, introducing a new perspective based on the load capacity curve for deforestation. It empirically tests…
Massoud Amin
Analyzing the 2022 European energy crisis, this chapter explores the energy transition's complexities, focusing on the 'energy trilemma' of security, sustainability, and affordability. It reviews renewable and emerging technologies and prop…
Mehreen Gul, David Jenkins, Dulini Fernando +4
This paper presents an interdisciplinary study to advance biochar use in buildings for decarbonization. Integrating social science, civil engineering, and building modeling, it evaluates biochar-cementitious composites and their energy/carb…
Mona Moussawel, Jessica Few, Valentin Moreau +5
This study compares residential electricity demand patterns using high-resolution smart meter data from Great Britain and France. Analyzing load curves by building type and heating technology, it reveals how cultural habits, heating systems…
(著者不明)
This paper discusses how regional energy strategies should respond to global energy transitions, emphasizing adaptive approaches that consider local resources and policies. Specific empirical analysis is unclear, but it offers insights for …
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