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Energy Economics, Efficiency, and Sustainable Development

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "C: Energy Economics and Policy".

Deadline for manuscript submissions: closed (24 October 2025) | Viewed by 6547

Special Issue Editor


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Guest Editor
Department of Geography and Environment, London School of Economics and Political Science (LSE), London WC2A 2AE, UK
Interests: advanced econometric methodologies to investigate critical issues in environmental and energy economics, intending to inform policy decisions in oil-exporting nations

Special Issue Information

Dear Colleagues,

The path to carbon-neutral growth is fundamentally economic, shaped by price signals, investment incentives, and institutional frameworks that govern energy production and use. Therefore, this Special Issue focuses on energy economic analysis, inviting research that deepens our understanding of how markets, finance, and policy interact to promote both energy efficiency and sustainable development.

We welcome rigorous empirical and theoretical contributions on the following topics:

  • Carbon pricing and green finance: Optimal design of carbon taxes and emissions-trading schemes; efficiency of green bonds, digital finance, and other instruments in mobilising capital for low-carbon investment.
  • Market structure, regulation, and institutional reform: Welfare and distributional impacts of energy-market liberalisation; quota allocation rules; interactions between energy subsidies, tax policy, and competitiveness.
  • Energy productivity, industrial transformation, and digitalisation: Analysing the effects of industrial structure optimisation, trade openness, and the digital economy on energy intensity and multi-factor productivity using spatial, threshold, or panel techniques.
  • Policy uncertainty, ESG, and firm behaviour: How climate policy volatility shapes corporate innovation, financing constraints, and ESG performance; micro/macro linkages between firm-level decisions and aggregate emissions.
  • Globalisation, spill-overs, and sustainable growth: Cross-border transmission of energy-technology spill-overs; the role of global value chains in decarbonisation, and macroeconomic implications modelled via DSGE, CGE; or input–output frameworks.

Methodologies of interest include—but are not limited to—panel and spatial econometrics, CGE and DSGE modelling, cost–benefit and welfare analysis, decomposition techniques, and other quantitative tools that place economics at the forefront of the energy transition debate.

By highlighting research that pairs robust economic theory with high-quality data, this Special Issue will equip scholars, policymakers, and market participants with evidence-based insights for crafting efficient, equitable, and resilient pathways towards a sustainable energy future.

Dr. Mohsen Khezri
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

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. Energies is an international peer-reviewed open access semimonthly 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 2600 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

  • energy economics
  • energy efficiency
  • sustainable development
  • carbon pricing
  • green finance
  • renewable energy investment

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Published Papers (3 papers)

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Research

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20 pages, 820 KB  
Article
Energy Economics in European Union Countries—Typological Analysis Using Kohonen Networks
by Agnieszka Sompolska-Rzechuła, Aneta Becker and Anna Oleńczuk-Paszel
Energies 2025, 18(23), 6202; https://doi.org/10.3390/en18236202 - 26 Nov 2025
Viewed by 561
Abstract
Energy is a key resource determining economic and social development. The aim of the study was to identify and analyze patterns in the energy economy of European Union countries in 2019 and 2023 using the self-organizing maps (SOMs) method, which is an artificial [...] Read more.
Energy is a key resource determining economic and social development. The aim of the study was to identify and analyze patterns in the energy economy of European Union countries in 2019 and 2023 using the self-organizing maps (SOMs) method, which is an artificial intelligence tool. This approach enables unsupervised clustering of countries based on complex data, revealing hidden relationships between energy indicators. Analysis of Eurostat data showed that over the analyzed period, five countries improved their cluster position, one country experienced a decline, and the remaining 21 countries retained their previous assignment. The grouping of the countries in 2023 was more diverse, with a clear concentration of countries with favorable development parameters. The results of the study provide valuable guidance for EU energy policy, supporting the planning of a sustainable transition in the context of challenges such as the COVID-19 pandemic and the war in Ukraine. Full article
(This article belongs to the Special Issue Energy Economics, Efficiency, and Sustainable Development)
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20 pages, 308 KB  
Article
Citizens and Energy Transition: Understanding the Role of Perceived Barriers and Information Sources
by Evangelia Karasmanaki, Garyfallos Arabatzis and Georgios Tsantopoulos
Energies 2025, 18(18), 4984; https://doi.org/10.3390/en18184984 - 19 Sep 2025
Cited by 6 | Viewed by 2552
Abstract
By investing in renewable energy sources (RES), citizens can participate actively in energy transition. The problem, however, is that citizen investment decisions are highly complex, while most strategies for capital mobilization rely on generic incentives or broad campaigns. To provide a new approach [...] Read more.
By investing in renewable energy sources (RES), citizens can participate actively in energy transition. The problem, however, is that citizen investment decisions are highly complex, while most strategies for capital mobilization rely on generic incentives or broad campaigns. To provide a new approach to mobilizing citizen capital, this study considers perceived barriers, as it is important to address aspects that disincline citizens from investing, and their preferred information sources, because attitudes are shaped and actions are empowered or disempowered through these channels. Drawing on a representative sample of Greek citizens, we used k-means clustering to segment citizens; the first cluster was inhibited to invest by loaning conditions, highlighting the need for banks to offer better terms for loans, while the second cluster was inhibited by a wide array of technical, economic, and systemic concerns requiring different stakeholders to address the barriers underlying these concerns. The third cluster was inhibited by barriers related to the technology of renewables and the availability of experts for installing and maintaining the systems, indicating the need to address such. Results also showed that several information sources can have a negative effect, suggesting that there should be policy intervention to enhance the accuracy of information. Full article
(This article belongs to the Special Issue Energy Economics, Efficiency, and Sustainable Development)

Review

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23 pages, 3154 KB  
Review
The Impact of Novel Artificial Intelligence Methods on Energy Productivity, Industrial Transformation and Digitalization Within the Framework of Energy Economics, Efficiency and Sustainability
by Izabela Rojek, Dariusz Mikołajewski and Piotr Prokopowicz
Energies 2025, 18(19), 5138; https://doi.org/10.3390/en18195138 - 26 Sep 2025
Cited by 2 | Viewed by 2891
Abstract
This review examines the transformative impact of innovative artificial intelligence (AI) methods on energy productivity, industrial transformation, and digitalization in the context of energy economics, energy efficiency, and sustainability. AI-based tools are revolutionizing energy systems by optimizing production, reducing waste, and enabling predictive [...] Read more.
This review examines the transformative impact of innovative artificial intelligence (AI) methods on energy productivity, industrial transformation, and digitalization in the context of energy economics, energy efficiency, and sustainability. AI-based tools are revolutionizing energy systems by optimizing production, reducing waste, and enabling predictive maintenance in industrial processes. Integrating AI increases operational efficiency across various sectors, significantly contributing to energy savings and cost reductions. Using deep learning (DL), machine learning (ML), and generative AI (genAI), companies can model complex energy consumption patterns and identify efficiency gaps in real time. Furthermore, AI supports the renewable energy transition by improving grid management, forecasting, and smart distribution. The review highlights how AI-assisted digitalization fosters smart production, resource allocation, and decarbonization strategies. Economic analyses indicate that AI implementation correlates with improved energy intensity indicators and long-term sustainability benefits. However, challenges such as data privacy, algorithm transparency, and infrastructure investment remain key barriers. This article synthesizes current literature and case studies to provide a comprehensive understanding of AI’s evolving role in transforming energy-intensive industries. These findings highlight AI’s crucial contribution to sustainable economic development through improved energy efficiency and digital innovation. Full article
(This article belongs to the Special Issue Energy Economics, Efficiency, and Sustainable Development)
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