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 161–180 of 23103 papers
Prameswari Gentika, Rialdi Azhar
This study analyzes the impact of ESG disclosure and earnings quality on firm value (Tobin's Q) using panel data regression on 18 energy companies listed on the Indonesia Stock Exchange from 2020-2024. Results show ESG disclosure has a sign…
E. Stephanie, Yanti Yanti
This study analyzes the impact of profitability, risk, and company size on ESG disclosure for 38 Indonesian consumer non-cyclicals firms (2022-2024). Results show company size positively and significantly affects ESG disclosure, supporting …
S. Odunko, J. Okpe, Jeremiah Ogorry Ogbu +2
This study examines how risk management committee attributes (size, independence, expertise, meetings) affect sustainability disclosure quality in Nigerian listed oil and gas firms, using panel data from 2014-2023. Fixed effects regression …
Hafsah Haruna Rugga, Prof. N.A Kaoje, Palladan Ahmad Aliyu +1
This study examines the effect of ESG disclosure on firm performance in Nigeria's oil and gas and industrial goods sectors using panel data from 16 listed firms (2014-2023). Governance disclosure positively and significantly affects perform…
Swagata Dawn
This study analyzes SEBI's post-2021 regulatory changes, especially the BRSR framework, to assess whether ESG disclosure functions as a corporate accountability tool in India. It traces the shift from voluntary CSR to mandatory sustainabili…
Mann Parikh, Olivia Kosmala, Aditya K Khetan
India's net-zero pledge requires a clean cooking transition. Despite LPG adoption, sustained use is limited due to costs and biomass stacking. Pairing induction cooking with iron cookware can reduce household air pollution and anaemia while…
Haider Mahmood, Syed Abdul Rehman Khan, G. Meraj +1
This review analyzes the environmental impact of energy prices within the EKC framework using bibliometric analysis and narrative synthesis of 67 studies from 1997-2025. It finds renewable energy transition as a dominant theme. Empirical sy…
Sibo Wang, Yiheng Bian, Gengfeng Li +1
This paper proposes a dual-layer optimization model for economic dispatch of multi-microgrid systems under coupled electricity-CET-TGC markets. Using a modified state-based potential game, it increases social welfare by 23.15% and reduces r…
Kun Bo, Linlin Cai, Dong Zhang
This study develops a dynamic TCO model for a 15,000 TEU methanol dual-fuel container ship on the Ningbo-Zhoushan-Valencia corridor, integrating EU ETS carbon costs and FuelEU Maritime compliance. Under baseline assumptions, the 15-year pre…
Mohammed Machkour, A. El Barkany, Bilal Harras
This study develops a stochastic MILP framework for carbon-aware production-distribution planning in an automotive supply chain. It integrates demand uncertainty, internal carbon pricing, and lost-sales penalties, and evaluates rolling-hori…
Yucai Bai, Beibei Yao, Xiahong Shi +5
This study develops nonlinear prediction models integrating economic and demographic drivers to dynamically assess CO2 and air pollutant emissions from on-road mobile sources in Guangxi, China. Combining environmental tax rates and carbon t…
Ngo Thi Yen Linh, N. Ngan
This paper reviews literature on carbon taxes, ETS, and CBAM impacts on Vietnam's industrial sector, synthesizing CGE model findings of GDP losses (0.35%-4.57%) versus emission reductions. It proposes six policy implications for Vietnam's 2…
Kashish Dua, Satyam Ranjan
This mixed-method study examines the relationship between LGBTQ+ inclusion and ESG performance in Indian startups. Quantitative surveys and qualitative interviews reveal that inclusive workplace practices positively affect employee wellbein…
Iris Cuevas Martínez, Antonio J. Jara, Jesualdo Tomás Fernández Breis
This paper presents envair360, a Physical Intelligence architecture integrating traffic, meteorological, and chemical models to design, operate, and verify low-emission zones (LEZs). It introduces an evidence-gated methodology with data gov…
Murali Krishna Pasupuleti
This paper proposes an Earth-system digital-twin framework for verifiable enhanced weathering carbon removal, integrating process-based geochemistry, agricultural/hydrological modeling, multisource observation, Bayesian data assimilation, a…
Fonny Arisandy Jacob, Mohamad Rizan, Muhammad Awaluddin
This paper analyzes Google's sustainable business strategy using five integrated frameworks: Mintzberg's 5Ps, Creating Shared Value, ESG, and SDGs. It highlights large-scale clean energy procurement, supply chain transformation, circular pr…
Gulrux Abdumutalova
This paper comprehensively analyzes the theoretical, historical, and practical aspects of assessing and monitoring green product performance. It systematically examines the evolution from regulatory compliance in the 1970s to modern climate…
Bo Zhao, Jafar Hussain, Zhenyu Qiu +2
This study analyzes the impact of adopting Smart Emission Control Systems and Energy Security on CO2 reduction and profitability in a supply chain of 500 manufacturers, agents, and retailers using game theory and simulation-based optimizati…
Jian Xu, Jie Song, Yifan Yan +3
This study constructs an energy production revolution index (EIT) for the Yellow River Basin and uses stacking ensemble and Lasso-STIRPAT models to project carbon emissions and EIT from 2025-2045. Scenario analysis reveals optimal pathways …
Chongyang Dong, Yu Wang, Yongshuai She +1
This study proposes an ensemble machine learning approach to simulate half-hourly carbon fluxes in China's forest ecosystems using limited meteorological data. By combining multiple ML models, the method improves estimation accuracy over tr…
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