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 761–780 of 26205 papers
Anam Azam, Rainer Walz
This study examines how low-carbon technology trade, innovation capability, and fossil fuel production affect renewable energy patenting in OECD and NIC countries (2003–2021), using a negative binomial fixed-effects model. Low-carbon techno…
Xianlu Ao, Liang Dong, Chenxi Zhou +1
Using China-ASEAN agricultural trade data (2002-2021), this study applies Double Machine Learning to examine how agricultural land use efficiency (ALUE) and bilateral trade policy friendliness (TPF) shape net embodied carbon transfer (NECT)…
程晋, 李南青, Mengxiao Li +5
A 3-year field experiment in China tested how dry-season crops affect subsequent rice yield and GHG emissions. Wheat-rice rotation minimized GWP but also yield, while garlic- and rapeseed-rice raised yield at the cost of higher methane emis…
Dalia Štreimikienė, Justas Štreimikis
This integrative review synthesizes evidence on the energy trilemma, arguing that interactions among energy security, affordability, and sustainability are dynamic and context-sensitive rather than static trade-offs. It shows that technolog…
Zhi-Jie Jia, Zhi-Heng Qin, Yongqiang Xu +5
This study quantifies the carbon and nitrogen footprints embodied in China's interprovincial trade of rice, wheat and maize. It finds aggregate environmental gains from trade concentration, offset by crop-specific trade-offs. It offers a su…
Lijie He, Zirui Zhang, Weicong Luo +2
This study quantifies interprovincial virtual water-land-carbon flows (VWLCF) in China's agricultural trade and proposes an equity-based compensation framework. By 2030, virtual water, land and embodied carbon are projected to rise 12.23%, …
Xige Zhang
This paper analyzes how the EU's Carbon Border Adjustment Mechanism (CBAM) affects international trade flows and developing economies through carbon cost transmission, shifting global competition, and industrial restructuring. It finds CBAM…
Zewei Jiang, Shihong Yang, Qingqing Pang +11
This paper examines how integrated water–carbon management reshapes the trade-offs among greenhouse gas emissions, productivity, and economic returns in rice systems. As rice cultivation is a major methane source, it offers empirical insigh…
Yihao Shi, Bo Yan, Heng Zhu
An empirical study examining how China's emissions trading scheme affects corporate emissions among high-energy-consuming listed firms. It probes the mechanisms through which carbon trading curbs corporate emissions, offering firm-level evi…
Osama Abd Ellatief
This study examines 'new environmental protectionism' in the international trading system, analyzing prospectively how strengthened environmental standards and carbon taxes affect the volume and trends of global trade. It addresses the trad…
Sachin Kumar Verma, Dr. Preeti Singhwal, Ajender Kumar Malik +1
This study builds a sustainable inventory model for deteriorating items that jointly optimizes preservation-technology investment, shortage timing, carbon-emission costs and trade credit, with demand sensitive to selling price and product g…
Shahid Naeem
This chapter offers facility managers a framework for tackling employee commuting, which can be up to 70% of total Scope 3 emissions. It quantifies three approaches—EV charging, carpooling programs, and smart dock scheduling—showing 28% pea…
Jean Fouré, Rob Dellink, Elisa Lanzi +1
This paper uses a computable general equilibrium (CGE) model to assess how the transition to carbon neutrality affects public finances. It quantifies how carbon pricing and related transition policies ripple through tax revenue, fiscal bala…
(著者不明)
This study proposes a computational framework for assessing the bankability of renewable energy projects financed through green finance in emerging economies. It quantifies the conditions under which projects become financeable, analyzing c…
Rabeb Dabbebi, Hichem Khlif, Samir Trabelsi
Using 2,142 S&P 500 firm-year observations (2015–2020), this study finds that voluntary SASB-aligned ESG disclosure significantly shortens audit report lag (ARL). The effect is stronger for firms with high ESG performance and weaker for low…
Darliane Ribeiro Cunha, Newton Narciso Pereira
This study applies text-mining to sustainability reports from Brazilian ports to map how ESG disclosure has evolved over time. Using NLP, it quantifies longitudinal shifts in reporting content, visualizing the maturation of ESG practice in …
Lauren Kim
This study examines whether uncertain wording in 10-K annual reports affects ESG performance for 72 US public firms. It finds a negative relation: greater use of ambiguous words is associated with lower ESG scores, suggesting firms may use …
Michael Ajanja Sakha, Harun Ireri Gitari, Sagar Maitra +3
This review synthesizes how specific soil physical, biological, and chemical properties drive agricultural GHG emissions. It shows that soil temperature, moisture, structure, pH, organic matter, CEC, and microbial processes interact to regu…
Yoko Takimoto, Norichika Kanie, Yatong Yang
This study screened 128 empirical case studies cited in IPCC AR6 Synthesis Report Chapter 3.4, classifying them into five domains to analyze SDG synergies and trade-offs. Synergies arise from cross-sectoral policy integration, long-term ins…
Sinlapachat Pungpa, Wataru Takeuchi, Pantip Piyatadsananon +1
This study develops a machine-learning and multi-sensor remote sensing approach to estimate mangrove aboveground biomass (AGB) in Banlaem forest, southern Thailand, using Sentinel-1, ALOS2/PALSAR2, and UAV data. A GA-optimized SVR model ach…
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