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 29741–29760 of 36583 papers
Muya Cai, Hongya Wang, Fengyin Zhou +9
This paper discusses the potential of electrochemical metallurgy powered by renewable energy for metal extraction, reducing CO2 emissions while enabling energy storage. It highlights the growing demand for bulk materials like Fe, Al, Zn, an…
Yishuang Liu, Xiujie Tan
Using matched supplier-customer data for Chinese A-share manufacturing firms (2009-2021), this study examines whether corporate ESG performance promotes green innovation within firms and across supply chains. It finds that downstream ESG pe…
Zhengfei Zhang, Mengru Ma, Yimin Xiao
This paper explores solutions for transitioning rural energy structures in plateau mountainous climate regions through field surveys. It identifies region-specific challenges and opportunities, offering insights for sustainable energy trans…
Jarmo Kikstra, Zebedee Nicholls, Annika Högner +27
This pre-release provides harmonized and infilled emissions data for CMIP7 marker scenarios, developed by seven IAM teams. It includes climate outcomes from the MAGICC emulator. The data supports integrated research on climate system conseq…
Baoquan Li, Wang Yang, An Shi +5
This study proposes a dual-use underground logistics system (DULS) framework combining robust layout optimization with simulation. Using a Wasserstein-based distributionally robust optimization and AnyLogic discrete-event simulation, the ca…
Dong Guo, Wei Yet Tan
This study uses structural equation modeling to examine how five sustainable supply chain practices (green procurement, production, logistics, collaboration, and information sharing) affect perceived low-carbon development efficiency in man…
Yuchuan Zheng, Ming Cheng, Peijun Lu +5
This study analyzes embodied carbon emissions from 692 low-rise and multi-story residential buildings in China and proposes mitigation strategies, highlighting the importance of material selection and design improvements.
Long Shi, Yang Zheng, Chao Xu +2
This paper proposes a low-carbon operation optimization method for distribution systems that considers the regulation potential of distributed flexible resources (EVs, PV, storage). An aggregation model using time-varying outer approximatio…
J J Andrews, A M Moncaster
This qualitative case study of a UK university student accommodation project analyzes why some low-carbon aspirations (Passivhaus certification) were achieved while others (low embodied carbon) were dropped. Key success factors included cle…
Saiyuli Saiyuli, Ristia Mareta, Sherin Evangelistha +6
This systematic review synthesizes evidence from 13 empirical studies across 11 countries on integrating incentive mechanisms (REDD+, carbon credits, PES, tax relief), spatial planning, and community forest management for low-carbon develop…
Ruiteng Shao, Ke Li, Qing Teng +3
This study proposes an improved dream optimization algorithm (SCO-DOA) integrating sine and cosine operators for low-carbon economic scheduling of microgrids. Simulations on a microgrid with PV, wind, diesel, microturbine, and storage show …
Bo Su, Jie Chi, Siqi Zhang +4
This study prepared a quaternary solid-waste-based binder from low-titanium slag, MSWI fly ash, steel slag, and FGD gypsum, demonstrating that MSWI fly ash acts as a Ca-rich alkaline activator for low-titanium slag. The optimal mix achieved…
J Železná, J Růžička
This paper presents recommendations for integrating Whole Life Carbon (WLC) assessment into national policies across EU member states, based on insights from the INDICATE project and EPBD IV directive. It emphasizes transparent, harmonized …
Zhiliang Han, Peiyun Huang
Using panel data from 3,102 Chinese A-share listed firms from 2008 to 2023, this study employs a multi-period difference-in-differences model to evaluate the individual and synergistic effects of Low-Carbon City and Innovative City pilot po…
Yi Shu, Kai-Hua Wang, Sorana Vătavu
This paper uses the joint impulse response function (jIRF) to investigate multiple shocks from climate policy uncertainty (CPU) and green finance (GF) to carbon prices (CAPs) in China. jIRF estimates are more accurate than traditional metho…
Wenze Zhang, Ying Liu, Zhiting Chen +3
This study reviews Yunnan Province's energy transition toward carbon neutrality, highlighting a hydropower-centered multi-energy complementary system. It examines resource potential, challenges, and the 'Yunnan approach' as a case for regio…
Xiaomin Xu, Qianru Ma, Wensheng Wang
This study examines four alliance-based battery recycling models in a closed-loop supply chain under carbon cap-and-trade and government subsidies. Using Stackelberg game and real data numerical simulation, it derives optimal recycling mode…
Jorge Vareda Gomes, Catarina Moreira
This study conducts an ISO 14040/44-compliant cradle-to-grave LCA on CERELAC® infant cereal, quantifying Scope 1, 2, and 3 emissions. Scope 3 emissions dominate at 94.3% of total, with product use (44.7%) and purchased goods and services (3…
Liang Cao, Canliang Lin
This paper analyzes how Sino-US geopolitical competition affects Indonesia's energy transition through critical mineral investments (e.g., nickel downstreaming) and international climate finance (e.g., JETP), highlighting dual influences on…
Percy Antonio Vílchez Olivares, Barbara Braga Cruz
This PRISMA-compliant systematic review of 45 peer-reviewed articles (2020-2025) maps AI and data analytics in ESG disclosure amid expanding CSRD and ISSB mandates. Four themes emerge: NLP/text mining, ML for ESG scoring, AI-enabled assuran…
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