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 5061–5080 of 27325 papers
Haider A.
This paper empirically analyzes the determinants of greenhouse gas emissions using Canadian provincial data. It quantifies the impacts of economic activity, energy structure, and policy factors on emissions, offering insights for effective …
O’Flynn C.
This case study examines innovative technologies and policy changes adopted by a medium-sized university to achieve net zero (Czero) by 2030. It offers practical insights into campus decarbonization and potential applicability to other orga…
Chen P.H.
This paper provides perspectives on Taiwan's pathway to net-zero emissions, likely discussing renewable energy deployment and policy frameworks. Specific findings are unclear due to lack of abstract, but it focuses on policy and technologic…
Zaman U.
This paper examines how consumer concern about net-zero commitments interacts with destination competitiveness and influencer marketing to shape regenerative tourism intentions. It explores the link between climate action and tourism behavi…
DENISA-MARIA Marin, I. Croitoru, Andreea Barbu +4
This study provides a bibliometric review of literature on green investments, energy transition, and financial markets from 2021-2025. Analyzing 154 documents from Web of Science with VOSviewer, it identifies three thematic clusters: green …
Tamara Menichini, S. R. Miccoli, Nicoletta Maria Strollo
The low-carbon transition requires both technological and organizational capabilities, with leadership playing a key role. Analyzing interviews with 12 senior women managers in climate and sustainability, this study shows how they navigate …
R.Kaladevi, V.Umarani, V. N +1
This study builds an ML and explainable AI system to assess green loan eligibility. Using synthetic data, multiple models were evaluated, with Gradient Boosting achieving high accuracy. SHAP analysis identified credit score and energy effic…
V. Alkema
This paper systematically categorizes internal and external factors ensuring corporate development in agricultural enterprises amid market instability, digital transformation, climate challenges, military risks, and sustainability demands. …
Volodymyr A. Kolodiychuk, Mykhaylo B. Kurtyak
This theoretical paper examines how CSR enhances the resilience of corporate governance in Ukrainian agroholdings under wartime logistics disruptions. It identifies four channels: human capital, stakeholder engagement, ESG practices, and re…
Yuyao Zhao, Yating Zeng, Wen-Dai Lv
Using panel data from Chinese A-share listed firms in high-risk industries (2012-2024), this study shows that safety investment significantly improves total factor productivity (TFP). The effect operates through strengthening organizational…
Zhen Wang
This study empirically examines how China's Fair Competition Review System (FCRS) drives corporate ESG behavior within a new institutional economics framework. FCRS reduces administrative monopolies, enhancing market mechanisms, and signifi…
K. Oyediji
This paper proposes a conceptual framework for capital allocation and portfolio optimization in infrastructure and energy finance, integrating financial theory, risk management, and sustainability principles. It addresses climate transition…
Yukun Sang, Kannan Loganathan, Lu Lin
Using China's AI Pilot Zone policy as a quasi-natural experiment, this study employs a multi-period DID approach on listed firms (2014-2024) to show the policy significantly improves corporate sustainable development performance (SDP). Dyna…
Suganthi Pais
This study quantitatively examines the impact of AI-powered FinTech innovations on Circular Economy Transition (CET), with Sustainable Consumption Behavior (SCB) as a mediator. Using SEM on data from 384 respondents, it identifies AI capabi…
Li Zhang, Jinsong Deng
This study integrates geographical detector and machine learning models to analyze carbon emission scenarios in China's thermal power sector. It identifies key regional drivers and provides policy insights for emission reduction, exemplifyi…
Xiaojing Lin, Xin Sun, Sarah Féron +9
This study evaluates utility-scale solar and off-grid systems with battery and hydrogen storage across 184 districts in West Africa under 13 climate scenarios. Solar electricity costs range from $0.100 to $0.409/kWh, with Liberia and Sierra…
Yunmeng Zhao, Chiyuan Miao
This study uses random forests and SHAP to analyze the impact of climate variability on global maize yield from 1982-2016. Climate variability explains 23-45% of yield variability across climate zones, increasingly offsetting technological …
Aitong Li, Gang Zhao
This paper analyzes the role of nested learning and subsystem alignment in governing socio-technical transitions, using China's nuclear energy development as a case study. It examines how policy learning and institutional coordination facil…
Qingzhou Lv, Hui Yang, Jia Wang +7
This study develops a prior-knowledge-constrained attention U-Net that integrates land-use-specific carbon density to estimate aboveground carbon storage (AGC) across China at 1 km resolution from 2000 to 2020. The model achieves 75.97% acc…
Mingkang Zhu, Jing Wu, Guangxi Li +5
This review systematically examines wind-driven triboelectric nanogenerators (TENGs) under realistic wind constraints, categorizing advances into three scenarios: urban micro-winds, offshore wind-wave, and low-altitude complex flows. It com…
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