Automotive Sector Financial Performance Dynamic Model: Europe vs. Asia Case Study

• Published in: Mathematics (Basel) 2022-10, Vol.10 (19), p.3627
• Main Authors: Ionescu, Romeo-Victor, Zlati, Monica-Laura, Antohi, Valentin-Marian, Dincă, Marius-Sorin
• Format: Article
• Language: English
• Subjects: Automobile industry; automotive industry; Business performance management; Case studies; Context; Dynamic models; economic and financial performance; Economic development; efficiency and productivity indicators; Electric vehicles; Empirical analysis; Finance; Impact analysis; Industrial development; Innovations; modelling; Qualitative analysis; Regional development; Social responsibility; Sustainability; Transportation equipment industry; vector space
• ISSN: 2227-7390; 2227-7390
• DOI: 10.3390/math10193627

The current geo-political context brings to light new challenges to the smooth functioning of the global automotive trade, both through the economic boycott of Russian units and the intensified transition to the green economy. The main objective of the research is to quantify the financial efficiency of the global automotive industry in order to determine a general dynamic performance model and quantify the impact of external regional factors on the performance of economic entities in the automotive sector. The current objectives of the study are identifying recent asset developments in the industry, the main performance models in the literature, designing a global financial performance model and other regional dynamic models, validation of these models and dissemination of the model results and proposals. The used methods are of an empirical nature, namely, the literature study, with the authors aiming to identify the main performance models promoted by specialists in the field. We use qualitative-analytical and forecasting methods for dynamic performance modelling, using information from the 2010–2021 financial reports of major car manufacturers. The results of the study highlight the need for performance in relation to the influence of regional factors and performance leaders by economic and financial chapters. The results are useful for both managers of economic entities and supra-regional decision makers in order to establish economic development strategies and policies in view of the transition to the green economy and in the current geopolitical context.