Prediction of Agricultural Enterprises Distress Using Data Envelopment Analysis
Prediction of Agricultural Enterprises Distress Using Data Envelopment Analysis

Author(s): Tatiana Bányiová, Tatiana Bieliková, Andrea Piterková
Subject(s): Business Economy / Management, Agriculture
Published by: Masarykova univerzita nakladatelství
Keywords: agricultural enterprises; corporate distress; DEA; prediction;
Summary/Abstract: The question of predicting the corporate financial distress has critical importance for all stakeholders. It is one of reasons, why the wide spread attention infinancial disciplines for this topic has been paid. Uncertainty and specificity of the current business environment in agriculture sector, as well as the rising criticism of well-known techniques, caused a tendency to test new approaches in corporate failure prediction. This paper focuses on a relatively new approach Data Envelopment Analysis (DEA), which is typically used to assess the efficiency of decision-making units.

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