1. CREDIT POSITION OF LOGISTICS SECTOR COMPANIES IN POLAND IN THE CONTEXT OF MACROECONOMIC CONDITIONS.
- Author
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PAPIERNIK-WOJDERA, Marzena and PISAREK-BARTOSZEWSKA, Renata
- Subjects
COVID-19 pandemic ,FINANCIAL crises ,NUMERIC databases ,VIRTUAL economy ,SOCIAL history - Abstract
Purpose: The research's main aim is to determine how the general macroeconomic situation (Macro) affects the credit position of the logistics sector. Design/methodology/approach: Designed was a model based on the macroeconomic conditions indicator and credit position indicator. Spearman's rank was used to assess the relationship between the above indicators and the OLS regression to estimate the model. At the last stage, the Vector Auto-Regression model (VAR) was created. The research focuses on a group of enterprises from the Transportation and Storage (H) section, employing more than ten employees in Poland. The study covered the period from the beginning of the financial crisis (2008) to 2023. The data for the model is annual, and obtained from the Central Statistical Office database. Findings: The analysis found that the macroeconomic conditions positively impact the credit position of enterprises in the logistics sector in Poland. Moreover, the credit position from the previous period positively impacts the credit indicator's value in the current year. In the logistics sector, throughout the analysed period, receivables from short-term supplies and services exceeded the value of liabilities (credit position indicator of the logistics sector in Poland > 1). During the COVID-19 pandemic, the Polish economy's synthetic macroeconomic indicator and the logistics sector's credit position indicator decreased. Research limitations/implications: The research focused on the static approach to credit position. Further research will be dedicated to assessing the impact of internal and external factors on the credit position in a dynamic approach (based on the cycle of liabilities towards suppliers and the cycle of receivables from recipients) and then determining the differences between the static and dynamic approach in the context of macro social conditions. Practical implications: The results of the analysis can support the managers of companies in making decisions aimed at trade credit granted and trade credit received in the context of the macroeconomic situation. Originality/value: The study's novelty is to establish the relationship between the macroeconomic situation measured by the Macro indicator and the credit position of enterprises in the logistics sectors, with particular emphasis on the period of the COVID-19 pandemic. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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