Analysis of sustainability assessments to understand modeling trends and habits in the Agri-food industry: A Canadian case study DOI

Joël Mongeon,

Ebenezer Miezah Kwofie, Raphael Aidoo

et al.

Environmental Impact Assessment Review, Journal Year: 2025, Volume and Issue: 114, P. 107959 - 107959

Published: May 3, 2025

Language: Английский

The Role of Green Finance in Driving Artificial Intelligence and Renewable Energy for Sustainable Development DOI
Anis Omri, Fadhila Hamza,

Sana Slimani

et al.

Sustainable Development, Journal Year: 2025, Volume and Issue: unknown

Published: April 24, 2025

ABSTRACT This study contributes to the literature on sustainable development by investigating mechanisms through which green finance fosters sustainability in emerging economies. Given increasing importance of artificial intelligence (AI) and renewable energy environmental transitions, we explore their roles as mediators relationship between sustainability. Using a dataset covering 2015–2022, apply Baron Kenny's (1986) mediation approach combined with advanced econometric techniques assess finance's direct indirect effects development. Our findings reveal that directly enhances while significantly promoting AI capacity. However, once these are included, effect weakens, indicating partial effect. Moreover, identifies additional mediating role linking capacity amplifying its overall impact. These results highlight critical interplay finance, AI, achieving economic Policymakers economies should prioritize initiatives, invest AI‐driven clean solutions, support decentralized projects accelerate transitions.

Language: Английский

Citations

0
A Thematic Review of AI and ML in Sustainable Energy Policies for Developing Nations DOI Creative Commons
Hassan Qudrat‐Ullah

Energies, Journal Year: 2025, Volume and Issue: 18(9), P. 2239 - 2239

Published: April 28, 2025

The growing global energy demand and the pursuit of sustainability highlight transformative potential artificial intelligence (AI) machine learning (ML) in systems. This thematic review explores their applications generation, transmission, consumption, emphasizing role optimizing renewable integration, enhancing operational efficiency, enabling data-driven decision-making. By employing a approach, this study categorizes analyzes key challenges opportunities, including economic considerations, technological advancements, social implications. While AI/ML technologies offer significant benefits, adoption developing nations faces challenges, such as high upfront costs, skill shortages, infrastructure limitations. Addressing these barriers through capacity building, international collaboration, adaptive policies is critical to realizing equitable sustainable integration

Language: Английский

Citations

0
The Role of AI Technology, in Advancing the United Nations Sustainable Development Goals (SDGs) in Healthcare and Environmental Services, Across Various Industries DOI

Reem A. Abdalla,

Lamya Abbas Hidaytalla,

Gulnar Sadat Mulla

et al.

Studies in big data, Journal Year: 2025, Volume and Issue: unknown, P. 391 - 403

Published: Jan. 1, 2025

Language: Английский

Citations

0
The green construction framework: a strategic pathway to emission reduction through technological innovations in the built environment DOI
M. Reza Hosseini, Firouzeh Taghikhah, Faris Elghaish

et al.

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 107 - 124

Published: Jan. 1, 2025

Language: Английский

Citations

0
Analysis of sustainability assessments to understand modeling trends and habits in the Agri-food industry: A Canadian case study DOI

Joël Mongeon,

Ebenezer Miezah Kwofie, Raphael Aidoo

et al.

Environmental Impact Assessment Review, Journal Year: 2025, Volume and Issue: 114, P. 107959 - 107959

Published: May 3, 2025

Language: Английский

Citations

0