Results 181 to 190 of about 1,479 (217)

Predicting food prices in Kenya using machine learning: a hybrid model approach with XGBoost and gradient boosting. [PDF]

Front Artif Intell
Ogol BO, Omondi E, Olukuru J, Muriithi B, Senagi K.   +4 more
europepmc   +1 more source

Sustainability Transitions in SMEs: Investigating Net‐Zero Adoption, Carbon Footprint Reduction, and Performance Outcomes

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This research empirically validates an integrated framework that explains net‐zero‐emission adoption among Small and Medium Enterprises (SMEs) in the United Arab Emirates (UAE). Extending the Technological‐Organizational‐Environmental (TOE) framework with the Triple Bottom Line (TBL) perspective, the research explains how internal capabilities
Alanood Alremeithi, Fauzia Jabeen, Sherine Farouk, Safiya Mukhtar Alshibani   +3 more
wiley   +1 more source

Symbolic Versus Substantive ESG Practices: A Systematic Review and Integrative Framework

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT ESG reporting is widespread, but symbolic commitments do not always reflect substantive practices. This study conducts a systematic literature review of 62 empirical articles published between 2021 and 2025 to synthesize the main determinants and consequences of this disclosure–performance misalignment in ESG reporting (commonly referred to as
Cristina Alexandrina Ştefănescu, Andra Larisa Suciu   +1 more
wiley   +1 more source

From Ship to Shore: A Review of Vessel‐To‐Grid Bidirectional Charging for Sustainable Maritime Transport

EcoEnergy, EarlyView.
As maritime transport electrifies, bidirectional charging (V2G) offers a dual‐purpose solution for energy resilience and economic viability. This work identifies key technological advancements and lifecycle challenges utilizing practical case studies to demonstrate how V2G systems can drive decarbonization and grid stability in the marine sector ...
Jonathan Bloor, Tamer Kamel, Sarah Fear, Lee J. Durndell   +3 more
wiley   +1 more source

Coherence Between Climate and Land Use Polices of the European Union, Brazil, and Indonesia: A Primer to Analyze Potential GHG Leakage

Environmental Policy and Governance, EarlyView.
ABSTRACT Incoherence between national land use policies may weaken climate mitigation efforts by creating conditions under which agricultural and forestry production and GHG emissions are displaced across borders (leakage). Coherence depends on constellations and prioritization of national policy aims in land use (production) and climate (conservation).
Heiner von Lüpke, Claudia Azevedo‐Ramos, Dwi Laraswati, Ahmad Maryudi, Christina Ayu, Nilo Wijaya, Rio Sopaheluwakan, Daniel Kübler, Richard Fischer   +8 more
wiley   +1 more source

When Policy Is the Hazard: Institutional Legitimacy and Climate Risk Attribution Among Farmers in Water Stressed California

Environmental Policy and Governance, EarlyView.
ABSTRACT This study examines how farmers perceive and respond to climate policy risk in the context of drought and argues that understanding such responses is as important as understanding farmer reactions to the biophysical impacts of climate change.
M. Anne Visser, Jordan Pantano, Grace Kumetat, Julia Marhenke   +3 more
wiley   +1 more source

Energy Consumption and CO2 Emissions Forecasting of Transport Sector Using Machine Learning

Energy Science &Engineering, EarlyView.
The transport sector accounts for approximately one‐quarter of Iran's final energy consumption. The energy demand in this sector has the least variation, with petroleum products accounting for more than 85% of the demand. Furthermore, the accelerated growth of energy consumption and the sector's reliance on fossil fuels, which are the main cause of ...
Amir Hossein Akbari, Seyyed Mohammad Hashemi, Meisam Farajollahi   +2 more
wiley   +1 more source

Temperature difference and systemic risk: Evidence from LASSO-VAR-DY based on China's pan-financial market. [PDF]

PLoS One
Jia K, Du Y.
europepmc   +1 more source

A Comprehensive Review of AI‐Powered Energy Systems

Energy Science &Engineering, EarlyView.
The role of Artificial Intelligence (AI) in developing next‐generation energy systems is getting more day by day. Therefore, incorporating AI enables real‐time decision‐making and advanced grid management, which are essential for optimizing the use of intermittent renewable sources like wind and solar power.
Armin Razmjoo, Pedram Asef, Masoumeh Javadi, Mousa Marzband, Shady S. Refaat, Muhyaddin Rawa   +5 more
wiley   +1 more source