This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open 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 1281–1300 of 1975 papers
Renrong Jiang, Haiyue Fu, Xinyi Chen +4
This paper proposes goal-oriented zoning for multifunctional land use in Shenzhen, China, to support low-carbon transition. Using multi-objective optimization, it balances economic, environmental, and social goals, demonstrating integration…
Rubaiya Rumman
This study explores the use of wood ash to modify cement for low-carbon concrete, aiming to reduce CO2 emissions in the construction sector. The modified composites show potential for sustainable building materials.
Annabel Scott-Collins, Sebastian Stannard, Jennifer Barker +4
This scoping review systematically examines the impact of low-carbon transport interventions on health inequalities, highlighting that while transport decarbonization is crucial for climate mitigation, equity considerations in health outcom…
Shaoxuan Ren, Tengxiao Ji, Sabrina S. Scott +9
This study reports an electrochemical reactor that converts limestone and silica into calcium silicate hydrate (eCSH), which upon heating forms belite at only 650°C. This process reduces thermal demand by 70% and CO2 emissions by 98% compar…
Xin Liao, Yuguo Jiang, Qiang Lin +1
This study assesses low-carbon manufacturing transition in eight cities of the Chengdu-Chongqing Economic Circle using a dynamic Set Pair Analysis model with a state transition matrix. It reveals a 'Matthew effect' and a three-tier structur…
Simon Wehden, Kathryn B. Janda, Felix Creutzig
This study examines craft entrepreneurs in four German installation trades (roofers, electricians, heating installers, painters) using mixed methods. It finds that the skilled worker shortage manifests as order prioritization, discouraging …
Deepak Gupta, Ergashev Nuriddin Gayratovich, Mirzaev Abdullaevich +3
This chapter presents a cost-benefit analysis of low-carbon mobility options using life-cycle assessment and social cost of carbon. Battery electric vehicles and public transit show benefit-cost ratios above unity, while active transport yi…
Tao Chen
This paper constructs a computational framework combining trend prediction and path optimization for energy consumption structure evolution. It integrates multi-source data to build time-series prediction models for coal, oil, natural gas, …
Ke Wang, Haojie Dai, Xunzhang Pan +1
This paper maps plant-level stranded asset risks in China's refining sector under low-carbon transition. It likely quantifies transition risk and regional impacts, offering insights for global energy transition planning. No abstract availab…
Xiaofei Liao, Qin Chu, Xiaohui Song
This study measures the low-carbon transition (LCT) levels of China's four major industrial bases from 2013 to 2023 using an entropy-weighted CRITIC-grey relational TOPSIS method. It finds that low-carbon technology is the core driver, intr…
Yuan Ma, Tong Xiao, Yang Xiao +2
This study analyzes the evolution of China's industrial policy in the new energy vehicle sector, shifting from selective intervention to market-oriented support for charging infrastructure, hydrogen refueling, and R&D in batteries and fuel …
Yiyi Wu
This paper analyzes China's low-carbon energy development, highlighting the need to replace fossil fuels. It outlines future pathways through corporate green innovation, optimized energy structure, and policy support, aiming to ensure energ…
Olubayo Babatunde, Kentaka Aruga, Chun Kai Leung +3
This editorial introduces a research topic on environmentally just and economically sustainable low-carbon transitions. It synthesizes studies on renewable energy-ecosystem interactions, institutional capacity, financial liberalization, and…
Li Chen, Hao Cheng, Fujia Li +1
Using panel data from 30 Chinese provinces (2006-2021), this study examines the impact of green technology innovation (GTI) on carbon emission performance (CEP). A significant U-shaped relationship is found, with pronounced effects in regio…
Jinyang Huang, Jiacong Cai, Zhan Zhao +6
This paper proposes a policy-adaptive framework integrating health (air quality) and climate priorities in China's coal retirement strategies. It develops phased retirement plans tailored to regional coal plant characteristics, optimizing b…
Ling Zhang, Xiang Xiang Wang, Yan Li +2
This study analyzes how recycled copper and vehicle-to-grid (V2G) technology can accelerate carbon neutrality in China by decoupling the power and passenger vehicle sectors from copper supply constraints, enabling faster decarbonization.
Ashish Dwivedi, Vipulesh Shardeo, Anchal Patil +2
Using the TOE framework and Grey Ordinal Priority Approach, this study identifies 16 critical factors for integrating digital transformation, green innovation, and carbon neutrality. Based on expert inputs, top factors are digital orientati…
Yen Yang Law, Xin Liang
This paper analyzes national strategies of ASEAN member countries to achieve carbon neutrality in the energy sector. It compares policies, renewable energy targets, and emission reduction pathways, highlighting the importance of regional co…
Songmin Yu, Fu Zhao, Lingyu Yang +4
Using a national-scale energy system model with provincial resolution and high temporal granularity (48 time slices), this study explores China's carbon neutrality pathways under 1.5, 1.6, and 2.0 °C targets with six allocation principles. …
Minoru Fujii
This paper explores how optimal allocation of waste for energy utilization can promote carbon neutrality. It proposes a model that considers waste types and regional characteristics to maximize energy recovery and reduce emissions.
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