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 4601–4620 of 13197 papers
Kübra Aslan Yılmaz
This study analyzes energy inputs and greenhouse gas emissions in 'Köhnü' grape production in Malatya Arapgir, Turkey. It calculates energy efficiency indicators and emission intensities, providing a case study for agricultural decarbonizat…
Moyosore Joseph Adegbeye, Sadarman Sadarman, RaviKanthReddy Poonooru +2
This editorial summarizes the role of natural compounds in improving livestock productivity while mitigating greenhouse gas emissions. It discusses multiple benefits including enhanced antioxidant levels, gut health, and disease control, su…
Phan Thi Ngoc Nhanh, Nguyen Duc Trong, Le Thi My Thu +8
This review evaluates purple nonsulfur bacteria (PNSB) as a microbial strategy to mitigate methane and nitrous oxide emissions from flooded rice systems. PNSB can reduce GHGs through mechanisms such as carbon substrate modulation and stimul…
Jethro Zuwarimwe, Obert Tada
This review identifies climate change mitigation strategies across the livestock value chain in the SADC region, including genetic improvement, renewable energy, and consumer awareness. Based on 46 sources, it estimates 18-30% GHG reduction…
Selda Murat Hocaoğlu, Burcu Kıran, Sebnem Aynur +4
The SMART4ENV Project aims to enhance scientific capacity in smart environmental solutions (SES) for climate change mitigation and adaptation. It leverages digital technologies to improve efficiency in environmental resource management, exp…
Z M Wang, Benoît Thibodeau
A global meta-analysis reveals mangroves remove 870 Gg of nitrogen annually, valued at $8.7 billion via nitrogen credits—12 times higher than carbon credits. Optimal conditions could yield over 5 million tonnes/year. But eutrophication, tem…
Opeyemi O. Deji-Oloruntoba, Adefarati Oloruntoba, Helen B. Binang +1
This multi-country survey of 21 countries examines climate anxiety, finding over 60% feel emotionally overwhelmed. Climate awareness and thinking frequency are positively associated with anxiety but with small effect sizes. Barriers such as…
Vladyslav Pustovar, Zakharenko Kostyantyn, Yehor Minenko
This paper analyzes how the energy crisis in wartime Ukraine transforms economic security structurally. It finds that infrastructure destruction and supply disruptions reduce production, increase inflation and budget deficits, and drive a s…
Tanuja Pattankar, Chandrika Doddihal, Muttappa R. Gudadinni +1
A cross-sectional study of 159 participants in India assessed knowledge, attitudes, and practices on climate change. While awareness and concern were high, practical mitigation efforts remained low, highlighting a gap between knowledge and …
Christina Nadeau, Manjana Milkoreit, Reidar Dischler +2
This study documents a 'climate dissonance' in Norway where high climate concern coexists with nearly 90% support for continued oil and gas production. Using national survey data (2020-2024), it shows that climate concern predicts support f…
Smija P. K., Pratheesh P. Gopinath, Neetha Rose C. D. +1
This study examines the convergence of climate change relevant decisions and bounded livelihood choices of smallholder black pepper farmers in Kerala, India. It identifies factors influencing adaptive behavior and offers policy insights for…
Wang, Yu, 1964-, Haomiao Cheng, 康天放 +2
This study assesses trade-offs between carbon sequestration by vegetation and ozone air quality in China. It quantifies the air quality impacts of afforestation as a climate mitigation strategy, informing integrated policy decisions.
Yi Huang, Zhixiang Xiao, Yuxia Li +2
This study investigates methods to inhibit segregation and enhance performance of low-carbon large-volume cast stone produced from molten silicomanganese slag, aiming to utilize industrial waste and reduce carbon emissions.
Lei Lei, Jing Huang, Wanling Hu +1
Using China's provincial panel data from 2011 to 2023, this study examines the effect of a comprehensive crop straw utilization (CUCS) policy on grain yield via a DID model. CUCS is associated with higher yields, moderated by fiscal support…
V. Nedić, Andreas Paul, M. Barbu +1
This study analyzes VOC emissions from a full-scale MDF dryer at the compound level, identifying five key compounds (α-pinene, 3-carene, limonene, methanol, formaldehyde) constituting over 80% of emissions. It links process variables (resid…
Musammat Tahmina Khanom, Mohammad Zahed Hussain
This review synthesizes literature on digitalization, AI, blockchain, ESG integration, and cybersecurity in financial reporting. It finds that while digital systems improve efficiency, they raise concerns about third-party dependency and co…
Mohd Tarmizi Ibrahim, Mohd Mas Rizat Abdul Latif, M. A. Mahat +1
This systematic review of 50 peer-reviewed articles examines ESG-tax governance interactions in Malaysia. It finds that corporate governance (board diversity, independence) improves tax compliance and ESG disclosure quality, while environme…
Bima Rafly Fachrezzi
This paper critically examines sustainability accounting through Baudrillard and Foucault. It argues that ESG disclosures function as simulacra that obscure environmental realities and as a disciplinary technology normalizing corporate beha…
Dr. A. Anandhiprabha
This study examines AI's impact on sustainable financial growth across banking, MSME, corporate, and FinTech sectors. Analyzing data from 320 organizations, it finds AI widely used in risk assessment, fraud detection, and ESG-based manageme…
Yara Ibrahim, Hosam Moubarak, Hebatallah A. Badawy
This paper proposes an explainable neural network model that integrates executive awareness, green finance, and digital innovation for corporate sustainability forecasting. The layered architecture enables interpretation of each factor's co…
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