Análise da demanda dos veículos categorizados como sedãs médios no território nacional: uma avaliação para o período de 2012 a 2018

Abstract

The automotive sector is extremely important for national and global economy, moving several other sectors and generating thousands of jobs annually. There are several models of vehicles available for sale in the domestic market, which are subdivided into categories, such as medium sedans, whose category includes vehicles such as Toyota / Corolla and Vw / Jetta. For the sale of a vehicle, the analysis of consumer behavior is critical. Many factors affect consumers' final choice: interest rates, budget constraints, and the average value of the goods to be purchased are important factors for the consumer and the entire market. The present research seeks to observe the relevance of the motor industry sector for the national economy, based on the impacts of the demand for vehicles categorized as medium sedans in the domestic market from January 2012 to August 2018. To do so, we seek to contextualize the automobile market based on competitiveness, automobile strategies and the impacts of public policies on its development. In the same way, the behavior of the consumers is observed and it analyzes if the factors that, according to the macroeconomic studies, influence in the demand of the market. In order to arrive at the results of the research, we used the inductive method, with the analysis of private data collected, linked to the bibliographical research carried out through the literature on the subjects in question, articles, among others. The nature of the research is classified as applied and quantitative, since it uses basic surveys previously performed, with the accomplishment of regressions capable of determining the impacts of the selected variables, interest rate, income, average value of vehicles and number of in the demand for medium sedans in Brazil during the period from January 2012 to August 2018, thus solving the problem of the present research. Thus, with the data collection, the Vectors Autoregressive (VAR) model was estimated, along with the performance of other statistical tests capable of helping to obtain the best results.