Energy System Decarbonisation, Climate Policies, Economic Growth and Social Impacts
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".
Deadline for manuscript submissions: closed (20 November 2023) | Viewed by 306
Special Issue Editors
Interests: applied economic modelling; computable general equilibrium; macro econometrics; complexity economics; agent-based models; climate change policies impact assessment; labour market; distributional implications; technology dynamics; value chains; circular economy; behavioural economics; system integration; land–water–energy nexus; land use change; carbon neutrality; green financing; R&D in clean energy technologies; data-supported environmental policies; ICT for resilience and sustainability; multi-hazard risk assessment strategies; machine learning for sustainability; machine learning for energy economics; business intelligence and energy economics; business continuity for optimal energy policies; energy policies in the agrarian sector; industrial energy policies using big data; big data and energy economics; econometrics
Special Issues, Collections and Topics in MDPI journals
Interests: risk management; business continuity; disaster management; information systems; business intelligence; business process management; business process modelling; databases; machine learning; agricultural informatics; data-supported environmental policies; ICT for resilience and sustainability; IT project management; big data; bioeconomy
Special Issue Information
Dear Colleagues,
Understanding and modelling the complex interactions between the energy and economic systems is still a big challenge. Changes in consumer behaviour, changes in the patterns of economic growth, new energy production and storage options, changes in the financing needs and instruments and the requirements for new types of labour skills are only a few of the many factors that must be taken into account in a simultaneous manner in order to have a thorough assessment of the economic impacts that alternative energy system configurations imply. An effective policy design requires evidence-based support that lies on robust and transparent tools, models and methods.
This Special Issue plans to contribute to the climate and energy policy assessment by providing new insights on the following areas:
- New modelling methods–New features of existing models: Advancing the models to better capture the energy–economy–environment interactions by introducing novel features like heterogenous and multiple agents’ behaviour, the role of the financial sector, endogenous learning through R&D, the stochastic representation of agents behaviour, high sectoral granularity and value chain representation.
- New methods in handling and reconciliating large volumes of data of different types (input–output tables, energy balances, GHG emission inventories, national accounts and household budget surveys).
- Soft links among diverse applied models.
- Empirical evidence on the effectiveness of past climate and energy policies.
- Economic and distributional implications of energy and climate policies.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- The impact of new trends (digitalisation, circular economy, etc.) on climate change.
- Climate change adaptation/mitigation and energy economy transitions.
- Advanced economic models capturing the interactions of energy–economy–environment.
- Economic decisions and biodiversity.
- Empirical evaluation of climate and energy policies.
- GHG emission reduction strategies to optimize energy economy transitions.
- Sustainable energy economy transitions.
- Climate change data analytics for sustainable energy policies.
- Big data solutions for sustainability and an efficient energy economy transition.
- Risk management, resilience and sustainable energy economy transition.
- Decision making and decision support systems for sustainability, resilience and energy economy transition.
-Disaster recovery and business continuity for sustainable energy policies.
-Business continuity for an optimal energy economy transition.
-Machine learning for optimal and sustainable energy policies.
-Data mining tools and artificial intelligence for a sustainable energy economy transition.
-Sustainability for a smooth energy economy transition in agribusiness.
We look forward to receiving your contributions.
Dr. Leonidas Paroussos
Dr. Athanasios Podaras
Guest Editors
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 100 words) can be sent to the Editorial Office for announcement on this website.
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. Sustainability 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 2400 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
- climate change
- big data
- GHG mitigation
- risk assessment
- sustainability
- resilience
- CGE
- econometrics
- applied modelling
- impact assessment
- labour market
- carbon neutrality
- hydrogen
