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 1961–1980 of 37251 papers
Simon J. Bolz, J. Gallé
A Melitz-style asymmetric-country model analyzes how a trading partner's border carbon adjustment (BCA) affects the welfare cost of raising domestic carbon prices in the exposed country. BCA lowers these costs by reversing the partner's exp…
Partho Biswas
Models Bangladesh's 2026–2030 renewable pipeline (10,450 MW), displacing ~9.7 MtCO2/yr. Net Article 6 carbon revenue ranges US$4–170M/yr, at most 18% of investment need; credits at US$15–22/t raise project returns only 1–3 points. Indicativ…
Wael Ghazi Shaaban
Compares Sweden's carbon tax, EU ETS participation and fossil-free power mix against Canada's decentralized approach, showing real per-capita emission reductions but persistent structural gaps in transport, mineral dependency and cross-bord…
S. Bolegenova, A. Askarova, A. Nugymanova +6
This study uses CFD to model combustion aerodynamics and staged air supply in a BKZ-75 boiler firing high-ash Karaganda coal (35.1% ash). Swirl burners cut CO and NO2 by 17.6% and 22.1%; shutting two of four burners cut CO by 36% and NO2 by…
Xiang Wang, Yue Xiang, Libang Ma +1
This study quantifies greenhouse gas emissions across China's beef supply chain, from production through consumption. It offers foundational insight into the emission structure of meat production relevant to food-system decarbonization. Met…
Qi Liu
This paper proposes a multi-factor attention-based deep learning framework that integrates economic indicators, energy commodity prices, and policy signals to forecast carbon market prices. Experiments on China's regional carbon markets and…
Zhou Xiaolin, Junjie Wang, Xinyan Yao +2
Using Chinese provincial panel data (2013–2023), this study applies mediation and moderation models to examine how the digital economy alleviates energy poverty through urban–rural integration. Spatial integration and non-agricultural emplo…
Mengyuan Bai, Nan Cong, Jicheng Wang +6
This study quantifies trade-offs between food production and carbon sequestration on abandoned cropland in a hilly province of Southwest China using spatial suitability assessment and Pareto optimization. Dual-suitability overlap reached 69…
Min Zhong, Ting Yi, Shulin Xu +1
Examines how climate transition risk shapes corporate ESG greenwashing through a nonlinear governance lens. Suggests transition-risk exposure alters disclosure behavior and ESG rating distortions. Method and data details unverified as no ab…
Gang Lu, Bo Yuan, Wenbo Wu +1
This study models long-duration energy storage (LDES) planning under technology learning uncertainty, analyzing how learning-rate variability shapes power system transition pathways and investment decisions. It offers implications for grid …
Xianyou Pan, 舒亚林, Ning Zhang +4
This study appears to examine the 'energy security paradox' whereby technology innovation driving the energy transition can itself create new security tensions or dependencies. Without an abstract, details are inferred from the title; it li…
Yang Yang, Hongyan Yang, Guanglei Yang
This study examines how city-level shifts in China's electricity mix alter PM2.5 chemical composition and translate into health benefits. It quantifies the air-quality and public-health co-benefits of decarbonizing power generation away fro…
Yuge Huang, Huihui Wang, Chengxin Lin +4
This study examines how Yellow River Basin cities can coordinate urban energy resilience with high-quality development goals toward a sustainable transition. Details are unavailable as no abstract was provided, but the work appears to addre…
Hazrat Bilal
This review surveys eco-friendly synthesis routes for CaO nanostructures (plant-extract green synthesis, sol-gel, co-precipitation, thermal decomposition) and structural characterization via XRD, SEM/TEM and FTIR, linking synthesis conditio…
Sophie Catherine Bacq, Florian Hoos, Georgios Polychronopoulos
Examines the ethical dilemmas social entrepreneurs face in deciding what to measure and disclose under mandatory sustainability reporting. It interrogates who holds the power to define metrics and how that choice tensions with social missio…
Indrit Ago, Sotiraq Dhamo
This study empirically examines Albania's sustainability reporting implementation gap as an EU candidate country, combining analysis of the 200 largest companies' public disclosures with a survey of 127 accounting professionals. While over …
Emmanuel Babatunde OYEDELE
Panel regression on 2010–2024 annual reports of all 14 listed Nigerian deposit money banks. Audit committee financial expertise significantly improves sustainability reporting quality. A woman audit committee chairperson both directly enhan…
Ni Luh Putu Dita Silviani, Eka Ardhani Sisdyani
Using a 132 firm-year panel of 33 Indonesian firms in the ESGQ-KEHATI Index (2021-2024), the study tests how governance mechanisms and asset turnover affect sustainability reporting quality, with financial slack as moderator. Independent co…
Gaizka Ormazábal
A conceptual piece arguing that trust and credibility can bridge the divisions among stakeholders in sustainability reporting. Without an abstract, details are limited, but it likely addresses how credibility underpins disclosure quality an…
Ramona Zharfpeykan, Paul Rouse
Using a GRI-based coding framework applied to 2,184 sustainability reports from 364 US-listed Forbes Global 2000 firms (2018–2023), the authors infer reporting strategies from indicator attributes such as frequency, stakeholder focus, and i…
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