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Electromobility Prospects in Greece by 2030: A Regional Perspective on Strategic Policy Analysis

Author

Listed:
  • Farida Shaban

    (School of Science and Technology, International Hellenic University, 14th km Thessaloniki-N. Moudania, 570 01 Thermi, Greece)

  • Pelopidas Siskos

    (Deloitte, 3A Fragkokklisias & Granikou Str., 151 25 Marousi, Greece)

  • Christos Tjortjis

    (School of Science and Technology, International Hellenic University, 14th km Thessaloniki-N. Moudania, 570 01 Thermi, Greece)

Abstract

Electromobility represents a strong option for reducing carbon emissions in the road transport sector. This study presents a methodology and a simulation tool that project the evolution of the market share of electric vehicles (EVs) in the new car market. The analysis adopts a stylized regional resolution, which accounts for attributes on the NUTS-2 level, such as the population density, GDP/capita, education levels, and current EV charger distribution, to simulate the uptake of BEVs in different regions. The methodology applies discrete choice modelling techniques, considering tangible and intangible factors, including purchasing and operation costs, an estimated cost for range anxiety and public charging, and a market maturity index. The analysis is based on four different scenarios, referring to the updated Greek National Energy Climate Plan. The results reveal that regions with a higher average income, GDP/capita, and population density show a higher uptake of EVs. Overall, the tool implements a method of simulating the market evolution of EVs up to 2030 in reference to regional parameters and, hence, highlights the regions that require the most attention in order to achieve national targets. The results can inform policymakers in developing tailored strategies and financial support to accelerate the adoption of BEVs, particularly in regions where their uptake prospects are lower.

Suggested Citation

  • Farida Shaban & Pelopidas Siskos & Christos Tjortjis, 2023. "Electromobility Prospects in Greece by 2030: A Regional Perspective on Strategic Policy Analysis," Energies, MDPI, vol. 16(16), pages 1-17, August.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:16:p:6083-:d:1221321
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    References listed on IDEAS

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    1. Siskos, Pelopidas & Capros, Pantelis & De Vita, Alessia, 2015. "CO2 and energy efficiency car standards in the EU in the context of a decarbonisation strategy: A model-based policy assessment," Energy Policy, Elsevier, vol. 84(C), pages 22-34.
    2. Gnann, Till & Plötz, Patrick & Kühn, André & Wietschel, Martin, 2015. "Modelling market diffusion of electric vehicles with real world driving data – German market and policy options," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 95-112.
    3. Hao, Xu & Lin, Zhenhong & Wang, Hewu & Ou, Shiqi & Ouyang, Minggao, 2020. "Range cost-effectiveness of plug-in electric vehicle for heterogeneous consumers: An expanded total ownership cost approach," Applied Energy, Elsevier, vol. 275(C).
    4. Egbue, Ona & Long, Suzanna, 2012. "Barriers to widespread adoption of electric vehicles: An analysis of consumer attitudes and perceptions," Energy Policy, Elsevier, vol. 48(C), pages 717-729.
    5. Stergios Statharas & Yannis Moysoglou & Pelopidas Siskos & Georgios Zazias & Pantelis Capros, 2019. "Factors Influencing Electric Vehicle Penetration in the EU by 2030: A Model-Based Policy Assessment," Energies, MDPI, vol. 12(14), pages 1-25, July.
    6. Eunil Park & Jooyoung Lim & Yongwoo Cho, 2018. "Understanding the Emergence and Social Acceptance of Electric Vehicles as Next-Generation Models for the Automobile Industry," Sustainability, MDPI, vol. 10(3), pages 1-13, March.
    7. Kenneth E. Train & Clifford Winston, 2007. "Vehicle Choice Behavior And The Declining Market Share Of U.S. Automakers," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 48(4), pages 1469-1496, November.
    8. Sushil Kumar Dixit & Ashirwad Kumar Singh, 2022. "Predicting Electric Vehicle (EV) Buyers in India: A Machine Learning Approach," The Review of Socionetwork Strategies, Springer, vol. 16(2), pages 221-238, October.
    9. Elham Allahmoradi & Saeed Mirzamohammadi & Ali Bonyadi Naeini & Ali Maleki & Saleh Mobayen & Paweł Skruch, 2022. "Policy Instruments for the Improvement of Customers’ Willingness to Purchase Electric Vehicles: A Case Study in Iran," Energies, MDPI, vol. 15(12), pages 1-17, June.
    10. Charles F. Manski, 2001. "Daniel McFadden and the Econometric Analysis of Discrete Choice," Scandinavian Journal of Economics, Wiley Blackwell, vol. 103(2), pages 217-230, June.
    11. Castillo, Enrique & Menéndez, José María & Jiménez, Pilar & Rivas, Ana, 2008. "Closed form expressions for choice probabilities in the Weibull case," Transportation Research Part B: Methodological, Elsevier, vol. 42(4), pages 373-380, May.
    12. Daniel McFadden, 1986. "The Choice Theory Approach to Market Research," Marketing Science, INFORMS, vol. 5(4), pages 275-297.
    13. Zhang, Lei & Hong, Jin Hyun & Nasri, Arefeh & Shen, Qing, 2012. "How built environment affects travel behavior: A comparative analysis of the connections between land use and vehicle miles traveled in US cities," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 5(3), pages 40-52.
    14. Subhaditya Shom & Kevin James & Mahmoud Alahmad, 2022. "Understanding the Correlation of Demographic Features with BEV Uptake at the Local Level in the United States," Sustainability, MDPI, vol. 14(9), pages 1-21, April.
    15. Hanadi Al-Thani & Muammer Koç & Rima J. Isaifan & Yusuf Bicer, 2022. "A Review of the Integrated Renewable Energy Systems for Sustainable Urban Mobility," Sustainability, MDPI, vol. 14(17), pages 1-27, August.
    16. Ranjit R. Desai & Eric Hittinger & Eric Williams, 2022. "Interaction of Consumer Heterogeneity and Technological Progress in the US Electric Vehicle Market," Energies, MDPI, vol. 15(13), pages 1-25, June.
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