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 12101–12120 of 36299 papers
X. L. Wang, X. Xue, Y. Lin +1
Proposes a Graphormer-TCN fusion model to assess market operation of new energy settlement mechanisms in industrial parks. Models transmission topology as a weighted graph, integrating spatial and temporal features to score market operation…
S. Mahmud, Y. Teoh, Heoy Geok How +6
This review focuses on green hydrogen production, especially water electrolysis, proposing a comparative framework linking catalyst durability, operating conditions, and LCOH. It reports efficiency gains from improved catalysts and renewabl…
V. Lystianingrum, Idraki Sariyan
This study assesses the techno-economic feasibility of PV-based green hydrogen for a 2,000 MTPD ammonia plant in Aceh, Indonesia. Comparing off-grid and on-grid (with RECs) configurations via HOMER Pro, the on-grid system cuts LCOH by 40%, …
Xinyi Wang
This conceptual paper critically examines generative AI in ESG reporting. It argues that while generative AI enhances efficiency by reducing cost and time in processing text-intensive data and drafting disclosures, it introduces challenges …
Kefan Yu
This paper analyzes ESG disclosure in the luxury industry through a case study of Kering Group, set against the backdrop of the EU CSRD. Using legitimacy and stakeholder theory, the authors build a 48-indicator ESG disclosure scoring system…
Lenggo Geni Katlin Jambak, Dhisti Khairunnisa Fahlin, Utama Ladunni Lubis
This review analyzes food waste behavior and city-scale management practices in Singapore, South Korea, Denmark, and Norway, and examines commercial waste composition in Bandung and composting impacts in Probolinggo. It concludes that sourc…
Wallamkupar Dkhar, B. Lyngdoh, Paramjeet Kumar
This systematic review integrates consumer perception research with corporate net-zero practices, identifying environmental knowledge, awareness, and concern as key antecedents of favorable green marketing responses, while price sensitivity…
Nugroho Nugroho, Rahmatul Husni
This longitudinal critical discourse analysis compares how National Oil Companies (NOCs) and International Oil Companies (IOCs) responded to evolving climate disclosure regulations from the Paris Agreement to EU Omnibus I (2016-2026). Analy…
Ping Yang, Wenting Liu, Yifei Zhang +8
This study shows that waterfowl presence increases N2O emissions from restored coastal wetlands, highlighting a trade-off between biodiversity conservation and climate mitigation. It offers important implications for wetland restoration pol…
Yifei Lu, Jia Lu, L. Jin +2
This paper proposes a dual-channel deep learning framework using mixed-frequency data to forecast region-specific daily industrial carbon emissions with high accuracy. It applies AI to carbon emission monitoring, aiding climate action and e…
Bily Bily, Angga P. Kapriana, Syarif M. Helmi
This study examines the impact of ESG disclosure, institutional ownership, and firm size on firm value for 15 Indonesian mining companies (2021-2024) using multiple regression. ESG disclosure and institutional ownership are insignificant, w…
Kevindra Adityananda Galih Prakasa, Sudharto P. Hadi, Andi Wijayanto
This study systematically reviews 30 articles on ESG disclosure and corporate value, finding inconsistent effects across regions and industries. Weak effects are strengthened by moderators like competitive advantage and governance. It concl…
S. M. Zhang, G. Z. Wang
This study empirically analyzes the impact of ESG information disclosure on accounting conservatism using data from 1,028 Chinese listed companies. ESG disclosure quality is measured via third-party ratings and an entropy-weighted index, wh…
Annisa Annisa, Juniati Gunawan
This study examines the effects of sustainability assurance, board independence, institutional ownership, and GDP on carbon disclosure in mining firms across five ASEAN countries. Using content analysis based on ISAE 3000 and TCFD, and pane…
Simon Merschak
This paper proposes a methodological framework for early-stage carbon footprint assessment tailored to small powertrain manufacturing. It enables identification and quantification of emissions during the design phase, facilitating early emi…
Pravash Chandra Moharana, Mahaveer Nogiya, Brijesh Yadav +14
This study develops a machine learning-based digital mapping framework for soil organic carbon (SOC) to support state-level carbon-smart land management. It enables high-resolution estimation of SOC spatial distribution, aiding carbon seque…
Zekun Li, Xiance Zhang, Jianhong Gong +2
This study by Sinopec investigates carbon redistribution during millisecond ultrahigh-temperature pyrolysis of light cycle oil (LCO) into acetylene and functional carbon black. It suggests potential for more efficient chemical feedstock pro…
Yunsang Kim, Givi Melkadze
This paper analyzes the macroeconomic effects of carbon pricing, focusing on the role of bank credit. It examines how carbon pricing affects firms' financing and investment, and how bank credit supply amplifies or dampens policy effects. Th…
Madhuri Sanjay Patil
This paper provides an interdisciplinary review of climate change adaptation, covering risks to agriculture, water, health, infrastructure, and biodiversity. It highlights ecosystem-based adaptation, technological innovation, indigenous kno…
BHAWNA PANDEY, N. Chandra, Aman Srivastava +6
This study assesses algal diversity and water quality at three sites in the Kosi watershed, India, using Water Quality Index and multivariate statistics. It reveals a spatial gradient from excellent to very poor water quality, with turbidit…
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