MACROECONOMIC FACTORS AS TOOLS FOR STIMULATION OR DESTIMULATION OF AGRIBUSINESS LOANS IN CRISIS SITUATION
The study attempts to identify changes in the loan market for agribusiness enterprises, including farms in Poland, during the COVID-19 pandemic. The research used data from the Central Statistical Office and the Credit Information Bureau for 2017-2020. In the course of research, an econometric model...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wydawnictwo SGGW - Warsaw University of Life Sciences Press
2022-12-01
|
| Series: | Polityki Europejskie, Finanse i Marketing |
| Subjects: | |
| Online Access: | https://pefim.sggw.edu.pl/article/view/4752 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | The study attempts to identify changes in the loan market for agribusiness enterprises, including farms in Poland, during the COVID-19 pandemic. The research used data from the Central Statistical Office and the Credit Information Bureau for 2017-2020. In the course of research, an econometric model was constructed explaining the volume of loans to the above-mentioned entities by commercial and cooperative banks in Poland during the pandemic. The program Statistica 13.3 was used. The analysis covers all loans granted in Poland on a monthly basis in 2017-2021. During this period, banks granted a total of 307 012 loans to individual farmers, and their volume amounted to almost PLN 30 billion. In the course of the research, it was found that in the years 2017-2021, the volume of loans for agribusiness entities, including farms, was decisively influenced by such factors as refinancing loan rate (stimulant), rediscount rate (destimulant), and general economic climate in manufacturing index (stimulant). The set of explanatory variables in the models may be a premise for the introduction of specific improvements in the credit policy of banks servicing agribusiness in the form of tightening or liberalizing credit requirements. The research results can also be used by banks to effectively plan future sales targets and interest income from these loans. |
|---|---|
| ISSN: | 2081-3430 2544-0640 |