Abstract [eng] |
The main goal of this thesis is to assess the impact of COVID-19 pandemic on the solvency of companies in the accommodation and food service sector in Lithuania based on the analysis of company solvency. The first part of the work presents an analysis of the scientific literature, discusses the pandemic and it’s impact on the world and Lithuanian economies. Methods of calculating solvency indicators and evaluations are presented. The studies carried out by other authors related to the impact of the pandemic, it’s evaluation and solvency analysis are also analyzed in this part. The second part of the work presents the methodology of the conducted research, describes the course of the research and the methods used. In the analytical part, an analysis of the solvency indicators of the Lithuanian accommodation and food service sector in 2015-2021 is carried out, in order to compare the indicators in the state before the pandemic and during the pandemic. Correlation and regression analyses are also carried out in order to assess the relationship between the debt ratio of accommodation and food and beverage companies and selected variables - GDP per capita, annual inflation rate and unemployment rate. The last part of the work contains conclusions that summarize the scientific analysis, research and results obtained. The obtained results showed that the condition of the solvency indicators of the accommodation and food service sector, compared to other indicators of the Lithuanian sectors, worsened the most. During the correlation and regression analyses, it was found that GDP per capita and the unemployment rate have a significant influence on the debt ratio of accommodation activities. The obtained regression model shows that as the GDP decreases and the unemployment rate increases, the debt ratio also increases. The debt ratio of catering and beverage companies is significantly influenced by the level of unemployment, which increases the debt ratio. In order to assess the impact of the COVID-19 pandemic on corporate solvency in more detail, it is recommended to continue the study by including additional variables measuring the extent of the pandemic, e.g., Number of COVID-19 infections, number of deaths from COVID-19, etc. Due to unavailability of data, this idea was rejected, as company monthly or quarterly data are required. |