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Authors
Advisor(s)
Abstract(s)
In general, the interest paid does not assume a relevant dimension in the overall costs present in the European Union farms. In fact, considering the agricultural sector characteristics, the Common Agricultural Policy measures and the dynamics of the banking sector in the European Union, the interest paid is a small part of the costs supported by the farmers. In any case, banking loans are fundamental for farming investments and in this way, it is important to understand their respective context. Considering these motivations, this research proposes to consider artificial intelligence approaches and data from the Farm Accountancy Data Network to identify the models with higher accuracy and the most important indicators to predict the interest paid by the farms of the European Union. The contributions of this research bring relevant insights into the dynamics of the bank loans for the European Union agricultural sector and the respective measures inside the Common Agricultural Policy framework.
Description
Keywords
Machine learning models European Union statistics Common agricultural policy
Citation
Martinho, V.J.P.D. (2024). Predictors of Interest Paid in the European Union’s Agricultural Sector. In: Machine Learning Approaches for Evaluating Statistical Information in the Agricultural Sector. SpringerBriefs in Applied Sciences and Technology. Springer, Cham. https://doi.org/10.1007/978-3-031-54608-2_9
Publisher
Springer, Cham