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 7861–7880 of 28803 papers
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…
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…
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 …
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…
(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 …
Feng Hao
This study analyzes US state-level panel data from 2010 to 2023 to examine trends in public support for renewable energy. It finds an overall decline in support, with carbon-intensive states showing decreasing support, while states with sev…
Іnna Honcharuk, Ілля Чіков, Yuliia Okhota
This paper proposes a comprehensive structural-functional model for biomethane transformation of Ukraine's energy sector, integrating institutional, economic, and technological components with emphasis on nonlinear interactions. The model p…
Julius Jandl, Elie Medioni, Abraham Yezioro +2
This paper conducts a 50-year dynamic material flow analysis (MFA) of building-integrated photovoltaics (BIPV), assessing resource circularity and environmental impacts in urban energy transitions. The bottom-up model reveals long-term impl…
Darpan Subedi, Manisha Subedi, K. C. Dipson +2
This study estimates methane emissions from a Nepalese landfill using LandGEM and IPCC models, evaluating energy recovery and hydrogen production potential. Scenario analysis quantifies emission reductions from enhanced recycling, and techn…
Ade Arya Yunissa, Ali Maksum
This study analyzes Indonesia's biomass co-firing policy under JETP from a climate diplomacy perspective. The government uses co-firing as a diplomatic tool to show decarbonization commitment, but it faces international criticism as a 'fals…
Shahryar, Atif Naveed Khan, Muhammad Farasat Abbas
This introductory chapter analyzes structural, environmental, economic, and geopolitical barriers to moving away from fossil fuels, emphasizing rapid deployment of solar, wind, hydro, and bioenergy. It highlights AI and digitalization for s…
Dewi Fitriani, Sahindomi Bana, Abigael Kabe +3
This study estimates biomass and carbon stock in a production forest in Indonesia, highlighting its role in climate change mitigation. Using non-destructive allometric methods, it found 92 species and calculated carbon stock of about 5,178 …
Massoud Amin
This briefing outlines investment opportunities in the energy transition, focusing on smart grids, energy storage, and nuclear power. It emphasizes the need for advanced grid technology to manage renewable intermittency and highlights micro…
Ema Gusheva
This dataset supplements Chapter 5 of Ema Gusheva's PhD thesis, examining sampling variability in model intercomparison projects (MIPs). The code is openly available on GitHub, contributing to uncertainty assessment in climate mitigation mo…
John Alexander Taborda, Cesar Enrique Polo Castro, Miguel Martínez
This study proposes the Cybernetic Environmental Hub (CEH) framework to strengthen governance for just energy transitions in the Global South, integrating AIoT monitoring, early warning systems, and decentralized data governance. Based on p…
Laveet Kumar, Bilawal A. Bhayo
This chapter comprehensively reviews thermal energy storage (TES) technologies across low (<100°C), medium (100–400°C), and high (>400°C) temperature ranges. It compares applications in building HVAC, industrial process heat, solar thermal,…
Reno Alamsyah, Anggoro Septilarso
This paper examines how climate change affects nuclear power plant (NPP) safety and how international frameworks (CNS and VDNS) can enhance resilience. It proposes ways for embarking countries like Indonesia to strengthen national regulatio…
Jade Winn, Sarah Tribelhorn, Dasmine Mcfarlin +1
This systematic review synthesizes 22 academic articles on climate action plans (CAPs) in higher education institutions (HEIs), identifying five major themes and ten core action areas. It proposes a framework that expands CAPs from a narrow…
Maria Luiza Xavier de Holanda Cavalcanti, Lúcio Câmara e Silva, Luciano Costa +3
This systematic review analyzes 400 experimental articles (2015-2026) on AI applications in wind energy, highlighting a paradigm shift from RNN/LSTM to attention-based Transformers. It identifies emerging trends like foundation models for t…
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