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 12161–12180 of 17702 papers
Afif Faishal, Muhammad Fadhlan, Muhammad Soffin Arfian
This systematic literature review examines sustainable catalytic and sorbent materials in biomass gasification to improve syngas quality. Eco-friendly catalysts like Ni-Ce/CaO and Ni/CaO-Ca12Al14O33 enhance hydrogen yield and reduce tar, bu…
Najoua Lahlimi, N. Rassai
This review comprehensively examines systems for green hydrogen production via water electrolysis powered by biomass. It categorizes and compares various energy architectures (cogeneration, multigeneration, etc.) that integrate biomass conv…
Kourad Fatima, Rezzaz Ratiba, Letaief Abdelkrim +1
This study analyzes Algeria's strategy for green hydrogen production using renewable energy capabilities, aiming to diversify energy sources and reduce fossil fuel consumption. It highlights Algeria's potential in the global hydrogen market…
Nor Amira Mohd Ali, Muhammad Hanif Abdul Gafar
This systematic literature review examines corporate environmental sustainability research and proposes the Green Value Paradigm (GVP) as an integrative framework. While CSR and ESG remain foundational, emerging themes include the environme…
Brahim Bergougui, H. G. Sulimany, Abdulrahman Atllah Alharbi
Using Chinese listed firm data (2012-2022), this study finds that AI language models reduce ESG greenwashing. Machine learning and planning-decision systems have the strongest effects, operating through workforce skill restructuring and per…
Adrija Shandilya, G. Banik
This paper analyzes sustainability disclosure intensity across 50 large-cap NSE-listed Indian companies using an integrated BRSR-GRI framework. During the transition from voluntary to mandatory BRSR (FY2021-23), systematic cross-dimensional…
Shella Adi Pristicha, I. B. Ketut Bayangkara
This qualitative literature review examines ESG-based sustainability accounting implementation in Indonesia, finding it enhances transparency, operational efficiency, and risk reduction while increasing firm value and investor confidence. C…
Wiwien Mukti Andriyani, Ari Wibawa Nurma Saputra, Handoko Agung Prabowo +6
This study evaluates the carbon sequestration potential of Kappaphycus alvarezii seaweed cultivated in Bondo waters, Indonesia. It found total carbon absorption of 305.21 tons per cycle (1,831 tons/year) over 44.36 hectares, with highest ca…
Mehmet Anıl Gülşan, Y. E. Böke
This study numerically simulates an industrial-scale tangential swirl burner using a 50-50 ammonia-hydrogen fuel blend by volume under rich (equivalence ratio 1.2) and lean (0.7) conditions at three power levels (10, 15, 20 kW) with three r…
Ayu Puspitasari, Ika Nur Azmi
This study examines the readiness of 41 Indonesian mining companies for ISSB standards (IFRS S1/S2) using content analysis. It finds 36.6% high readiness, 48.8% moderate, 14.6% low. Critical gaps include ESG-financial integration, scenario …
Lei Qiu, Jiao Peng
This paper proposes a novel Dual-Path Interactive Attention Network (DPIANet) for carbon price forecasting. It addresses limitations of traditional decomposition-ensemble models by jointly capturing temporal and inter-feature dependencies a…
Zhongya Ji, Guisheng Zhou, Zhi Chen
This study develops the Agricultural Talent Cultivation Readiness Index (ATCRI) to assess structural conditions for low-carbon and smart agriculture education across 160 countries. China ranks 21st globally, showing strong education and inn…
Feiyin Wang, Wen-Kang Sui, Peng-Tao Wang +2
This study proposes a data-driven framework integrating LCA and GAN to optimize sustainable aviation fuel (SAF) supply chains. By generating and evaluating pathways with various feedstocks, refineries, airports, and transport modes, it find…
Nina Zheng, Jiawei Liu, Haolian Xu +2
This study investigates microbial and material interventions to enhance nitrogen conservation in aerobic composting, assessing their potential to reduce greenhouse gas emissions and support carbon neutrality.
Liu Yu, Yang Lingyu, 刘亚文 Liu Yawen +11
This paper analyzes cost-effective sequencing of mitigation strategies for China to achieve carbon neutrality by 2060, finding that early renewable energy deployment combined with later carbon removal technologies is key. It provides action…
Shipra Jain, Ann Francis, Shashank Bishnoi
This study quantifies the climate and health co-benefits of blended cements in India, using integrated life-cycle assessment and health impact modeling. Results show significant CO2 emission reductions and improved public health outcomes fr…
Hendrik Hildebrandt, Doris Läpple
This paper examines why Irish dairy farmers protested and their views on climate change, based on survey data. Financial strain, excessive regulation, and lack of recognition were key drivers, along with frustration over environmental polic…
Anthony Ganje, Jeffrey Kurebwa
This study qualitatively evaluates the effectiveness of Zimbabwe's energy policies in promoting clean energy adoption. Policies have been somewhat effective in integrating renewables and attracting investment, but challenges include outdate…
(著者不明)
This paper presents an integrative framework for green economy transition focusing on individual behavior and social norms, not just technology and policy. It proposes a 'Sufficient Agent' model and a three-pillar solution chain: low-carbon…
Wanwan Dong
This review outlines the current status of Marine Renewable Energy (MRE) in China, emphasizing the importance of integrated multi-energy systems combining waves, tides, currents, and thermal/salinity gradients. It identifies key barriers to…
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