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 22341–22360 of 31675 papers
Yingchun Yan, Xingjie Lu, Jianpeng Li +2
This paper analyzes the current status and challenges of carbon measurement in Henan Province's cement industry, proposing countermeasures and implementation strategies for green transition. Henan's cement industry emitted approximately 64.…
Hanqing Hu
This paper uses the LEAP model to forecast Beijing's energy demand and carbon emissions from 2020 to 2060 under baseline, low-carbon, and enhanced low-carbon scenarios. Results show the enhanced low-carbon scenario best achieves the 'dual c…
Izlawanie Muhammad, Astri Warih Anjarwi
This paper qualitatively analyzes the necessity of carbon pricing in Indonesia and Malaysia, identifying six key justifications. It integrates Islamic values to enhance public trust and communication strategies for carbon pricing adoption.
Xingrun Tao
This paper proposes a framework to integrate the 'dual carbon' goals (carbon emission peak and carbon neutrality) into the comprehensive urban design of Zibo City. It presents four strategies: a symbiotic low-carbon spatial pattern of 'moun…
Jega Jegatheesan
This paper explores contributions to carbon neutrality through broader approaches in environmental quality management. Without an abstract, the specific methods or case studies are unclear, but it proposes a management perspective.
Ning Hu, Zhiyuan Tang, Shuaijia He +3
This paper proposes a multi-agent reinforcement learning based bidding strategy for virtual power plants (VPPs) in the spot market under carbon trading. It develops an AI method for VPPs to optimize bids considering carbon costs, improving …
Yu-Cian Lin, Ying-Chieh Chan
This study develops a multi-objective optimization framework for urban greening that visualizes trade-offs among cost, carbon sequestration, and shading. Using 3D parametric modeling and evolutionary algorithms with localized data from Taiw…
Dung‐Ying Lin
This study analyzes the trade-offs between CO2 and black carbon emissions in Arctic shipping route design. It considers the impacts on global warming and ice melt to propose optimal routes.
Lu‐Tao Zhao, Shi-Tong Wang, Zhi Qu +2
This study uses evolutionary game theory to model the impact of green certificate and carbon emission trading policies on clean energy investment decisions. It provides insights for optimal policy design to promote renewable energy deployme…
Wei Li, Tracey Dodd, Ralf Zurbruegg +1
This paper proposes a location-based framework for Scope 3 emissions disclosure in Australia's energy sector. Analyzing data from vertically integrated utilities, it shows that location-based estimates improve rigor compared to market-based…
Alaa Said Gamal Khalil Alsisi, Melike Aktaş Bozkurt
This study employs a TVP-VAR framework to analyze time-varying spillovers among clean energy, fossil energy, finance, and technology sectors in Turkey and Egypt. Results show that system-wide connectedness intensifies during energy security…
Yiji Cai, Xiaoying Cui, Meng Chen +1
This study analyzes how blockchain-enabled ESG reporting can incentivize supplier ESG investment under imperfect authentication accuracy. It finds non-monotonic investment at medium accuracy, asymmetric profit impacts (U-shaped for retailer…
Dr. Vaibhav Sharma Ms. Anuradha Singh
This paper explores sustainable finance development in India, focusing on green accounting, ESG reporting, and integrated reporting within corporate governance. It highlights the SEBI-mandated BRSR framework that formalizes ESG disclosures …
Neha Garyali, Ria Sonpatki, Abhishek Kathuria +1
This paper examines how Information Systems Orientation (ISO) affects firms' ability to produce robust ESG disclosures under mandatory regimes. Using Indian data from the transition to mandatory BRSR, it finds that Functional ISO enhances d…
Sarah Meier, Ben Balmford, Ville Inkinen
This paper evaluates the additionality of protected areas in Bolivia using a Random Survival Forest model to predict deforestation risk. On average, protected areas reduce deforestation by 0.19 percentage points (68%), but effects are highl…
Sophia Stutzmann, Sebastian Koos
This paper examines citizens' preferences for public spending on the green transition versus digitalization, focusing on perceived labor market risks. Using comparative survey data from six countries, it finds that individuals prefer to red…
M. I. Maksymiv
This study assesses the feasibility and strategic importance of using forest woody biomass waste for energy in Ukraine, based on EU sustainability criteria. It finds sufficient potential to increase energy biomass from logging residues and …
Arash Kavousighahfarokhi, M.A. Hannan, Pin Jern Ker +3
This paper surveys artificial intelligence technologies applied to electric vehicle charging and hydrogen refueling systems, exploring how AI can optimize demand forecasting and control to enhance infrastructure efficiency and support the t…
Erni Vida Aina, Slamet Budi Yuwono, Arief Darmawan +1
This study evaluated forest and land rehabilitation under social forestry in Lampung, Indonesia, using the AKSARA platform. Estimated carbon stock enhancement of 174,487 tCO2e and carbon sequestration of 639,788 tCO2e, contributing 0.46% of…
Shahidul Islam
Iron-enriched biochar (Fe-BC) is a carbon-rich material produced by adding iron during pyrolysis, offering a promising solution for agricultural pollution mitigation. This review examines Fe-BC's production, ability to immobilize heavy meta…
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