Artificial Intelligence Technologies and Economic Development

A special issue of Economies (ISSN 2227-7099).

Deadline for manuscript submissions: 31 October 2025 | Viewed by 1100

Special Issue Editors

Department of Global Business Administration, Kyung Hee University, Global Campus, Yongin-si 17104, Republic of Korea
Interests: shipping economy; big data shipping; sustainable supply chain
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Guest Editor
School of Economics, Northeastern University, Shenyang 110819, China
Interests: international economics; digital economy; sustainable investment

Special Issue Information

Dear Colleagues,

The rapid advancement of artificial intelligence (AI) technologies is reshaping economies worldwide, profoundly influencing sustainability and innovation. By integrating into critical sectors, AI demonstrates immense potential to drive structural changes in green development, green technological innovation, and supply chain management. For example, AI-powered analytics optimize risk assessment and resource allocation, enabling the efficient financing of environmentally friendly projects. Additionally, AI accelerates breakthroughs in clean energy, carbon reduction technologies, and circular economy initiatives. In supply chains, AI enhances resilience and sustainability by improving logistics precision, traceability, and environmental impact reduction.

Despite these advancements, challenges persist, particularly in addressing technological disparities and mitigating unintended economic and environmental consequences. Against this backdrop, this Special Issue examines how AI technologies can promote economic development while ensuring environmental sustainability. It aims to provide actionable insights for policymakers, researchers, and industry practitioners on the synergy between AI and sustainable economic transformation.

We are pleased to invite you to contribute to this Special Issue.

This Special Issue explores the transformative role of AI in advancing sustainable economic development. By emphasizing technological innovation, supply chain resilience, and international green economic cooperation, we aim to demonstrate how AI can address global challenges while fostering innovation and economic growth.

We welcome contributions in various formats, including regular papers, short notes, and survey articles, to provide diverse perspectives on the role of AI in driving sustainable development and economic transformation.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • AI and digitalization in green investment and sustainable finance;
  • Advancing green technological innovation through AI-enabled solutions;
  • AI-driven transformations in supply chain management and logistics;
  • Cross-border digital trade and investment cooperation enabled by AI;
  • Policy and governance challenges in AI-driven sustainable development;
  • Case studies of AI applications in environmental and economic sustainability.

We look forward to receiving your contributions and insights.

Dr. Miao Su
Dr. Jinjing Zhao
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Economies is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • artificial intelligence
  • green development
  • technological innovation
  • supply chain management
  • digital economy
  • economic development
  • environmental policy
  • carbon reduction
  • circular economy

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Published Papers (1 paper)

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Research

36 pages, 2943 KB  
Article
Nexus Between Artificial Intelligence, Renewable Energy, and Economic Development: A Multi-Method Approach
by Laura Vasilescu, Mirela Sichigea, Cătălina Sitnikov and Laurențiu-Stelian Mihai
Economies 2025, 13(9), 271; https://doi.org/10.3390/economies13090271 - 11 Sep 2025
Viewed by 680
Abstract
Artificial intelligence (AI) is a key driver of the energy transition and sustainable economic development. However, the specific mechanisms through which AI adoption impacts renewable energy production versus consumption remain poorly understood. This study addresses this research gap by empirically analyzing how three [...] Read more.
Artificial intelligence (AI) is a key driver of the energy transition and sustainable economic development. However, the specific mechanisms through which AI adoption impacts renewable energy production versus consumption remain poorly understood. This study addresses this research gap by empirically analyzing how three AI dimensions (investments, readiness, and projects) differently influenced renewable energy production and consumption across 30 countries (EU-27, USA, China, and UK) during 2020–2023. Additionally, the AI–energy transition nexus is analyzed in relation to economic development (GDP per capita) and carbon emissions (CO2). Employing robust regression, Gaussian graphical modeling, and cluster analysis, the study provides robust multidimensional validation. Empirical findings reveal that AI investments predominantly stimulate renewable energy production, while AI readiness and institutional ecosystems primarily drive renewable energy consumption. The following two country clusters emerge: advanced economies (USA, China, Germany, UK, and France) characterized by higher AI readiness and superior green-energy integration, and developing economies with significant catch-up potential. The study demonstrates AI’s dual role as both direct determinant and systemic mediator in the energy transition. Moreover, CO2 emissions show an asymmetric role, being positively correlated with renewable energy production but negatively linked with renewable energy consumption. These insights highlight the need for targeted policies that bridge economic and technological divides, thereby accelerating the renewable energy transition and enriching academic debates on technology-driven sustainability. Full article
(This article belongs to the Special Issue Artificial Intelligence Technologies and Economic Development)
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