Author, Institution: Povilas Mačiulis, Lithuanian Energy Institute
Science area, field of science: Social Sciences, Economics – S004
Scientific Supervisor: dr. Inga Konstantinavičiūtė (Lithuanian Energy Institute, Social Sciences, Economics – S004)
Scientific Advisor: prof. dr. Vaida Pilinkienė (Kaunas University of Technology, Social Sciences, Economics – S004)
Dissertation Defence Board of Economics Science Field:
Prof. Dr. Dalia Štreimikienė (Lithuania Energy Institute, Social Sciences, Economics, S004) – chairwoman
Prof. Dr. Habil. Andrzej Buszko (University of Warmia and Mazury in Olsztyn, Poland, Social Sciences, Economics, S004)
Prof. Dr. Daiva Dumčiuvienė (Kaunas University of Technology, Social Sciences, Economics, S004)
Dr. Arvydas Galinis (Lithuania Energy Institute, Social Sciences, Economics, S004)
Prof. Dr. Ričardas Krikštolaitis (Vytautas Magnus University, Natural Sciences, Mathematics, N001)
The dissertation defence takes place online.
The doctoral dissertation is available at the library of Kaunas University of Technology (K. Donelaičio g. 20, Kaunas), and Lithuania Energy Institute (Breslaujos str. 3, Kaunas)
Annotation:
To reduce emissions, it is necessary to replace conventional transport sector vehicles with internal combustion engines with alternative technologies driven on renewable energy sources (RES). Despite the environmental benefits of clean cars, the existing technical and economic barriers prevent their mass development. To raise the competitiveness and popularity of clean vehicles among consumers, the appropriate promotion policy instruments need to be applied. Despite the growing interest in the issues of promoting the use of RES-driven vehicles, scientific literature still lacks an empirically-based evaluation methodology that would allow to comprehensively evaluate particular promotion measures. Thus, the main purpose of the research in this dissertation is to develop the model and the methodology for evaluating RES-driven vehicle promotion measures that would allow to identify most relevant measures with consideration of consumer preferences, measure implementation costs, feasibility and efficiency. For evaluating promotion measure feasibility, efficiency and estimating evaluation criteria weights, the method of expert evaluation was employed. Consumer preferences were evaluated by employing discrete selection models. Promotion measure implementation costs were estimated by three electric vehicle market development scenarios. Aggregation of all the research indicators based on multi-criteria evaluation method allowed to identify the most relevant promotion measures in the case of Lithuania.
