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 17401–17420 of 36407 papers
Yanyan Ma, Maomao Yu
This paper uses staggered difference-in-differences to examine China's Intelligent Manufacturing Policy's effect on reducing firms' pollution emission intensity relative to export value. It identifies four transmission channels: improved in…
Chen Jun-yu, Shi Dong
This study analyzes the spatiotemporal correlation between ecosystem service value (ESV) and land use carbon emissions in the Yangtze River Basin from 2002 to 2022 at grid and county scales. ESV remained stable with a slight increase, with …
Lianbin Zhou, Zhifeng Zhou, P. Zhang +1
This study analyzes static and dynamic carbon emission efficiency of 18 global airlines (2015–2021) using a two-stage super-efficient SBM model and Hicks–Moorsteen productivity index. Average static efficiency ranges from 0.225 to 0.662 (in…
Liang Cao, Shi Dong, Yuyan Wang +7
This study predicts the spatiotemporal dynamics of net primary productivity (NPP) and wetland carbon sequestration potential on the Tibetan Plateau for 2025-2030 using NDVI, BPNN, Kriging, and CASA model. NPP is projected to increase about …
K. Manish, G. Mamatha, A. Devakumar +2
This study assesses the carbon footprint of the GKVK campus in Bangalore, India, using IPCC and GHG Protocol guidelines. Total emissions are 7,606.545 tCO₂e/yr, with Scope 1 at 42.08%, Scope 2 at 20.46%, and Scope 3 at 37.46%. Major sources…
Anuvinda Balan, L. Bernard, Md Baharul Islam
This paper presents an Augmented Reality (AR) system that visualizes Herc Rentals' carbon footprint (Scopes 1-3) as interactive 3D spheres. Users tap spheres to see category breakdowns and EPA equivalencies. A small user study (N=6) showed …
Weerakkodi, T.N., Ranasinghe, D.M.S.H.K., Pasan Dunuwila +1
This study applies the GHG Protocol to quantify Scope 1, 2, and 3 emissions at the University of Sri Jayewardenepura, the first carbon-neutral university in Sri Lanka. Measured sources (excluding commuting, procurement, food services) total…
Chunlin Xiong, Ren Fan, Duo Jiang
Using panel data from 30 Chinese provinces (2011-2024), this study measures the coupling coordination among digital village development, agricultural modernization, and agricultural carbon emission efficiency. It employs the super-efficienc…
Haibo Wang, Jiahua Sun, Junshan Lin
This paper proposes a method using cellular transmission model to analyze the collaborative mechanism of road traffic exhaust and noise emission. It models the relationship between traffic flow and emissions, potentially contributing to env…
(著者不明)
This study constructs an LMDI-STIRPAT model using 2011-2022 data for Changsha, China, to analyze driving factors of CO2 emissions and forecast future scenarios. Energy structure restrains emissions while population size drives them. Among e…
Aman Ali, Hritik Verma, Prateek Maurya +1
This paper reviews traditional carbon footprint methods (LCA, emission factors) and their limitations across sectors (manufacturing, construction, logistics, transport, digital infrastructure), including fixed emission factors and high unce…
Yifan Duan, Si Zheng, Lihuan Li +2
GHGbench provides an open dataset and benchmark for company- and building-level greenhouse-gas prediction. The company track covers 12,000+ firms with Scope 1+2 and Scope 3 disclosures; the building track harmonizes 491,591 records from 13 …
Dinar Rahayu
This study develops an integrated carbon footprint calculation system model combining GHG Protocol emission scope classification with DEFRA emission conversion factors. Using Design Science Research, it structures activity data, scope class…
Yanming Guo, Charles Guan, Jin Ma
ExioML is an open-source dataset of environmentally extended multi-regional input-output tables for emission factors, covering 49 regions and 28 years (1995-2022). It includes GPU-accelerated computational tools and two aggregation schemes …
Kornpaphop Ruttanawijit, Taweesup Desua, Y. Tiaple
This study presents a macro-level site suitability assessment for nearshore floating solar PV (N-FPV) in the Gulf of Thailand using AHP-TOPSIS with entropy weighting. Nine coastal provinces are evaluated based on irradiance, wave height, wi…
T. Alizade
This paper analyzes barriers and opportunities for renewable energy development in Azerbaijan, using interviews and comparative analysis. It identifies high costs, weak grid, and insufficient legislation as key constraints. Policy measures …
Erick George Uy
This study develops a resiliency model for renewable energy systems in Mindanao, Philippines, during the COVID-19 pandemic. It evaluates four profiles: energy balance, energy mix, cost, and reliability, achieving an aggregate score of 40.5/…
E. Figini, Mario Paolone
This paper proposes a framework for small-scale data centers to participate in the day-ahead electricity market with a carbon-aware, risk-averse bidding strategy that leverages flexibility from local energy resources, waste heat recovery, a…
Akhmad Rifkyansyah, Rahmat Setiawan
This study analyzes the role of the merit order in PLN and PLN Nusantara Power, linking operational efficiency, Power Purchase Agreement (PJBTL) structure, and digital transformation. Using a systematic literature review, it finds that the …
Jingwei Chen, Dongwei Zhao, Zhi Zhou +1
This paper proposes a unified decision framework for selecting optimal Power Purchase Agreement (PPA) structures—Fixed-Volume, As-Generated, or As-Consumed—to minimize financial risk for both sellers and buyers. Using theoretical analysis a…
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