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 6161–6180 of 30101 papers
Guo X.
This paper designs and evaluates an integrated market mechanism combining power-sector carbon emissions trading with tradable green certificates (TGCs), using multi-agent deep reinforcement learning. It simulates how incentive-compatible ma…
Keuchel S.
This paper examines the spatial effects of carbon pricing on transport equity. It likely explores how carbon pricing distributes burdens unevenly across regions and income groups, affecting transport access and fairness. No abstract is avai…
Roshid M.M.
This bibliometric study maps the landscape of carbon finance research, visualizing thematic clusters and innovation trends within sustainable finance. It offers a structural overview of the field and identifies emerging research directions,…
Yue T.
This paper examines how China responds to the EU's Carbon Border Adjustment Mechanism (CBAM), asking whether it reflects genuine carbon governance or trade-oriented gaming. It likely analyzes CBAM's implications for China's carbon market, e…
Figueiredo R.L.
Heavy mining trucks are hard-to-abate due to diesel dependence. This paper examines the prospects and challenges of using hydrogen as an alternative fuel for mining trucks, addressing diesel consumption and GHG emission reduction.
Anjum T.
A systematic review of methods, technologies and challenges for building-integrated photovoltaic thermal (BIPV/T) systems aimed at net-zero high-rise buildings. It maps technical options for on-site energy generation and decarbonization and…
Aviso K.B.
This paper proposes an optimization model for progressive industrial decarbonization, likely framing investment timing and technology sequencing as a mathematical optimization problem. Without an abstract, the target sectors, methods, and q…
Sen A.
This study examines how to design roadmaps for transitioning to net-zero emission value chains, using the chemical industry as a case. It focuses on pathway design and supply-chain-wide decarbonization, offering a framework for firms planni…
Schreyer F.
This paper argues for shifting the EU energy transition framing from 'net-zero' to 'zero-fossil', critiquing net-zero pathways that may rely on residual fossil fuels or offsets. It discusses the implications for EU energy system transformat…
Hadeer El Ashhab, Sai Srijan Papineni, M. Dorn +2
This study comparatively evaluates six deep learning models (state-space, MLP, RNN, Transformer-based) for electricity price forecasting across multiple market settings, establishing a reproducible benchmark framework. Using zero-shot, one-…
S. Rusmita, Fadillah Mansor, N. Ali +1
Using an unbalanced panel of 84 Sharia-listed non-financial Indonesian firms (2015–2024, 593 firm-years), this study tests whether immediate-protection (PL) and longer-horizon welfare (PLA) commitments affect ESG performance differently dur…
Aishwarya Rao L., Sathisha H. K.
An empirical study of ESG compliance in manufacturing, correlating ESG ratings (CRISIL and similar platforms) with firm value and operational efficiency using 2024 secondary data. It finds a positive association between higher ESG scores—es…
Triana Agustin
Using 85 firm-year observations from 17 Indonesian non-banking SOEs (2020–2024), this study tests ESG, governance, and firm attributes on earnings quality with earnings management as mediator via PLS-SEM. ESG and governance negatively affec…
E. Tenakwah, B. Otchere-Ankrah, E. Tenakwah
This narrative review synthesizes literature at the intersection of AI, ESG strategy, and sustainable value creation. It examines how machine learning, predictive analytics, and big data enable resource optimization, sustainability risk ant…
W. Lin
A systematic review of 53 studies at the intersection of AI, supply-chain management and sustainability. It reframes AI not as a set of techniques but as a governed capability system where data, models, decision routines and accountability …
William William, Tina Nurkhoeriyati
A survey of 315 consumers in Greater Jakarta analyses perceptions and behaviour toward plant-based meat analogues, distinguishing less-experienced from experienced consumers. Less-experienced buyers are driven by price, food neophobia and s…
Aida Ardini, Usman Manor
This study argues that ESG disclosure expansion has outpaced verification, supervision, and legal accountability mechanisms, heightening greenwashing and investor-harm risks. Analyzing global climate-finance regulation and Indonesia's OJK f…
L. Kudabayeva, A. Omarova, Saule Kaltayeva +4
Using 1996–2024 data from Kazakhstan, this study applies ARDL bounds testing to examine whether carbon emissions and renewable energy consumption influence bank-based financial development (domestic credit to the private sector). A long-run…
Mohammad Nazmul Haque, Mahayunah Masud
This review surveys advances in sustainable and resilient infrastructure, covering low-carbon concrete, carbon-negative materials, transparent wood, and self-healing systems alongside BIM, IoT, and real-time monitoring. It integrates disast…
Zahraa Naser Azzam, Haider I. Alyasari, Zainab Malik +3
Using calibrated dynamic thermal simulation (DesignBuilder/EnergyPlus) and LCA, this study compares four external wall systems in a residential building in Hilla, Iraq. Straw-stabilized rammed earth (RE-S) cut annual electricity by 20.6%, p…
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