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 10041–10060 of 32968 papers
Fonny Arisandy Jacob, Mohamad Rizan, Muhammad Awaluddin
This paper analyzes Google's sustainable business strategy using five integrated frameworks: Mintzberg's 5Ps, Creating Shared Value, ESG, and SDGs. It highlights large-scale clean energy procurement, supply chain transformation, circular pr…
Gulrux Abdumutalova
This paper comprehensively analyzes the theoretical, historical, and practical aspects of assessing and monitoring green product performance. It systematically examines the evolution from regulatory compliance in the 1970s to modern climate…
Bo Zhao, Jafar Hussain, Zhenyu Qiu +2
This study analyzes the impact of adopting Smart Emission Control Systems and Energy Security on CO2 reduction and profitability in a supply chain of 500 manufacturers, agents, and retailers using game theory and simulation-based optimizati…
Jian Xu, Jie Song, Yifan Yan +3
This study constructs an energy production revolution index (EIT) for the Yellow River Basin and uses stacking ensemble and Lasso-STIRPAT models to project carbon emissions and EIT from 2025-2045. Scenario analysis reveals optimal pathways …
Chongyang Dong, Yu Wang, Yongshuai She +1
This study proposes an ensemble machine learning approach to simulate half-hourly carbon fluxes in China's forest ecosystems using limited meteorological data. By combining multiple ML models, the method improves estimation accuracy over tr…
Yuhan Yang
This paper proposes a legal framework for new energy storage in China's power industry under the 'dual carbon' goals. It constructs an indicator system covering technical standards, market mechanisms, regulatory frameworks, and policy suppo…
Chuanchao Li, Yuanhe Du, Shuangyang Zhai
Using data from 284 Chinese cities (2012-2023) and a quasi-natural experiment of climate-resilient city pilots, this study applies double machine learning and spatial lag models to show that climate risk governance significantly enhances ur…
Xiaoning Wang, Yamei Chen, Qiong Chen +4
This study analyzes the driving factors and decoupling of energy-related CO2 emissions in Hainan Province, China, from 2007 to 2022 using LMDI decomposition and the Tapio model. Economic growth and population increase drive emissions, while…
I. Legasova
This study empirically analyzes the completeness and reliability of environmental disclosure in integrated reports of major Russian public companies (Gazpromneft, Tatneft, Transneft, LUKOIL, NOVATEK). Despite international and national stan…
E. Voronova, M. Simonova
This paper analyzes information support for sustainability reporting in oil and gas companies, considering international and national regulatory frameworks. It proposes a two-circuit model and identifies improvement areas for Russian compan…
Muhammad Mubashir Hussain
This study evaluates corporate reporting quality (CRQ) by integrating financial and sustainability reporting quality for early adopters of IFRS Sustainability Disclosure Standards. Using purpose-built indexes, it quantifies qualitative disc…
Eleni Adam, Athanasia Mavrommati, Angelos Patakas
This study integrates LCA and DEA to assess the carbon and environmental footprint of rainfed wheat in Northern Greece, using data from 1385 fields. Carbon footprint ranged from 2030 to 3110 kg CO2e/ha, with excess nitrogen fertilization id…
Aidan Shulkin, Ophélie Doucet, Ismail Laassassy +3
This paper analyzes the environmental impact of the WALANT approach for pediatric trigger thumb release, suggesting it can reduce the carbon footprint compared to traditional surgery. It offers practical insights for decarbonizing healthcar…
Xiao Zhang, Zhaoqiao Ding
This paper proposes a smart cold chain system integrating IoT sensors and machine learning to enable dynamic monitoring and evaluation of full-chain carbon footprint. Real-time data collection and predictive models optimize energy consumpti…
Ryvanu Adi Nugroho, Djoni Hartono
This study analyzes the relationship between economic agglomeration (employment density) and per-capita carbon emissions across 514 Indonesian districts using an extended STIRPAT model. It finds a U-shaped nonlinear relationship: agglomerat…
Amirah S. Mat Lani, Hui Ling Saw, Taku Wakabayashi +4
This study reports a visible-light-driven carboxylation of heteroarenes (thiophenes, furans, etc.) with atmospheric CO2 using a polysulfide anion catalyst. The redox-neutral reaction enables regioselective C-H carboxylation, offering a rout…
Nada Yimatsa, Yuta Watanabe, Morimaru Kida +9
This study quantified total ecosystem carbon (TEC) stocks in a 10-14 year mangrove restoration in Thailand, including soil to 3 m depth. TEC increased with stand age, with soil organic carbon comprising >80% of stocks. Including deep soils …
Valerie I. Grimm, Thomas Bauer
This paper proposes a method to forecast carbon footprints of events based on location data. While specific methodology and results are unclear, it may contribute to environmental impact assessment of events.
Mojtaba Haghgoo, R. Ansari
This study develops a simulation-based percolation model to investigate thermoresistivity in polymer nanocomposites with carbon black and carbon nanotube hybrid nanofillers. It incorporates temperature-dependent electron tunneling and elect…
Jeremiah Say
Provides 2024 grid carbon intensity and carbon-free energy percentage for all 44 Google Cloud regions, from 3 gCO2e/kWh in Stockholm to 679 in Mumbai. Useful for location-based Scope 2 accounting, though data is not third-party assured.
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