Exploring the Role of Artificial Intelligence in Achieving a Net Zero Carbon Economy in Emerging Economies: A Combination of PLS-SEM and fsQCA Approaches to Digital Inclusion and Climate Resilience DOI Open Access
Subhra Rani Mondal, Subhankar Das, Vasiliki Vrana

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(23), P. 10299 - 10299

Published: Nov. 25, 2024

In this paper, we examine the role of artificial intelligence (AI) in sovereignty and carbon neutrality, emphasizing digital inclusion climate-resilient AI strategies for emerging markets. Considering previous studies on neutrality climate research along with technology policy frameworks as a guide, paper undertakes Partial Least Squares Structural Equation Modelling (PLS-SEM) outcomes. At same time, fuzzy-set Qualitative Comparative Analysis (fsQCA) is used to reveal different configurations leading achieving resilience. The model covers various aspects AI-enabled policy, including adoption, frameworks, literacy, public engagement. Survey data were collected from key stakeholders sectors, local communities using structured survey understand their attitudes towards negative emissions technologies prominent experts countries like Vietnam, Italy, Malaysia, Greece. PLS-SEM results importance developing critical strategic dimension (Data analytics capability support). Some fsQCA findings present heterogeneous outcomes, highlighting complex combinations inclusion, resilience which are industry-specific. This study would further enrich literature concerning by exploring AI, interactions. Theoretically, practical enriching suggestions future derived help infuse sustainable actions.

Language: Английский

Innovative financial solutions for sustainable investments using artificial intelligence-based hybrid fuzzy decision-making approach in carbon capture technologies DOI Creative Commons
Serhat Yüksel, Serkan Eti, Hasan Dınçer

et al.

Financial Innovation, Journal Year: 2025, Volume and Issue: 11(1)

Published: Jan. 3, 2025

Abstract High costs, technical difficulties, and policy uncertainties are the main challenges in carbon capture technology investments. Therefore, innovative financial products required to develop projects that overcome these difficulties. Some issues must be considered when developing products. An important problem this process is features cannot possibly exist together new product, because each of incurs some costs. identifying most necessary. Accordingly, study develops a product increase effectiveness investments technologies. For purpose, novel artificial intelligence (AI)-based fuzzy decision-making model constructed. First, weights experts were calculated by considering AI methodology. Second, factors affecting investment technologies weighted using spherical DEMATEL. Finally, for ranked ARAS method. This study’s contribution its creation integrating methodology with theory. In process, an approach. It concluded cost-effectiveness prioritized development Technological competence another aspect should process. However, include risk management flexible financing.

Language: Английский

Citations

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Poland's net-zero pathways: Moderating role of carbon tax and renewable energy on electricity generation through a novel multivariate quantile-on-quantile regression approach DOI Creative Commons
Hammed Oluwaseyi Musibau, Gold Kafilah, Abdulrasheed Zakari

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 380, P. 124848 - 124848

Published: March 10, 2025

Language: Английский

Citations

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Emission Reduction Strategies and Negative Emission Solutions- Pathways, Drivers, and Challenges DOI
Meena Bhatia, Ritika Gugnani, Muhammad Zafar Yaqub

et al.

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 145263 - 145263

Published: March 1, 2025

Language: Английский

Citations

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Can the digitization of supply chains promote the low-carbon transformation of enterprises? A case study of listed companies in China DOI
Yang Ping,

Yanqin Lv,

Jing Chen

et al.

Energy Economics, Journal Year: 2025, Volume and Issue: unknown, P. 108212 - 108212

Published: Jan. 1, 2025

Language: Английский

Citations

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Exploring and Overcoming Challenges for Digital Transformation in the Energy Sector Toward Carbon Neutrality DOI Creative Commons

Chengyou Xiao

Geological Journal, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 4, 2025

ABSTRACT China is committed to carbon neutral by 2060 reduce its footprint zero. This research investigates the challenges surrounding adoption of digitalisation in energy sector and proposes policy plans overcome them achieve sustainability goals. study utilised fuzzy Analytical Hierarchy Process (AHP) method assess key sub‐challenges. Next, Technique for Order Preference Similarity Ideal Solution (TOPSIS) used rank digital transformation toward neutrality China. The result AHP identified that financial constraints (DES1) most crucial challenge hindering efforts with a weight 0.172, followed operational management barriers (DES8) 0.156, regulatory (DES2) 0.144. findings TOPSIS revealed enhancing viability investment (PP2) has obtained first plan score 0.065, following fostering support development (PP3) 0.063 building public trust engagement (PP10) 0.060. These play role addressing associated adopting China's sector, more efficient, sustainable resilient transition.

Language: Английский

Citations

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Digital Technology and AI for Smart Sustainable Cities in the Global South: A Critical Review of Literature and Case Studies DOI Creative Commons
Dillip Kumar Das

Urban Science, Journal Year: 2025, Volume and Issue: 9(3), P. 72 - 72

Published: March 5, 2025

Many countries across the Global South strive to align their urban development with sustainability goals. Consequently, notion of smart sustainable cities has emerged, integrating ideas and sustainability. The region faces diverse challenges, including rapid population growth financial constraints. Infrastructural deficiencies, especially in digital infrastructure AI adoption, add these challenges. Therefore, exploring technologies is essential for developing smart, South. This paper examined both potential barriers AI. It also explored policy implications proposes a framework cities. A qualitative methodological approach used, systematic literature review case studies. study demonstrates how various challenges can be addressed AI, alongside adoption. conceptual three key pillars: adopting as pivotal element, overcoming barriers, identifying application areas transform into Moreover, discusses suggests future directions research.

Language: Английский

Citations

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A Deep Learning Approach for Cost-Effective and Environmentally Sustainable Waste Transportation Systems in Developing Countries DOI
Hmamed Hala, Anass Cherrafi, Asmaa Benghabrit

et al.

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 145314 - 145314

Published: March 1, 2025

Language: Английский

Citations

0
Can green finance and innovations promote environmental sustainability: empirical evidence from India DOI
Ajar Nath Yadav, Suman Dahiya

Social Responsibility Journal, Journal Year: 2025, Volume and Issue: unknown

Published: March 22, 2025

Purpose This study aims to explore the impact of green finance, economic growth (EG), innovation and energy intensity on carbon emissions in India. Due severe climate conditions, environmental protection has become a major concern worldwide which needs attention policymakers researchers. Design/methodology/approach present uses India’s time series data from 2000 2020. Auto regressive distributed lags cross-sectional autoregressive lag (ARDL)-bound testing technique is used association between key variables emissions. The Granger causality test also applied both-sided link variables. Findings ARDL-bound confirms long-run relationship selected empirical result this reveals that finance enhance quality through reduction as both show significant negative long run. However, EG higher contribute degradation positive showed unidirectional emission emission, bidirectional finance. Originality/value study’s results imply exists Green can facilitate sustainable India by reducing Based findings provides recommendations industrial sectors.

Language: Английский

Citations

0
Digital technologies for the Sustainable Development Goals DOI Creative Commons
Dharmendra Hariyani, Poonam Hariyani, Sanjeev Mishra

et al.

Green Technologies and Sustainability, Journal Year: 2025, Volume and Issue: unknown, P. 100202 - 100202

Published: March 1, 2025

Language: Английский

Citations

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AI-Driven Sustainability in the Energy Sector DOI
Thomas Le Goff

Oxford University Press eBooks, Journal Year: 2025, Volume and Issue: unknown

Published: March 20, 2025

Abstract The integration of artificial intelligence (AI) systems into the energy sector has potential to foster environmental sustainability and mitigate impacts climate change. This article provides a comprehensive exploration regulatory governance issues arising from use AI within sector, with particular focus on sustainability. It an overview applications deployed by companies that contribute sustainability, especially in reducing greenhouse gas emissions transitioning toward low carbon electricity production, such as optimization production renewable sources energy, predictive maintenance, smart-grid technologies. presents legal challenges these raise terms cybersecurity, safety, privacy, or other issues, compliance EU’s Act. Understanding risks is key ensuring deploy responsibly. argues are best position drive sustainable innovation, they front line fight against change, familiar industries’ can power their systems, even though deployment at scale requires large amount computing resources, water, materials order function. By adopting sustainable-by-design approach, would not only advance objectives but also own footprint well many industries produce, therefore exemplifying possible synergy between “green” “digital” transitions.

Language: Английский

Citations

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