Identifying the Disadvantaged Regions for Concentrated State Support Using the DEA Method

• Main Authors: Brožová H., Hornická A.
• Format: Article
• Language: English
• Published: Sciendo 2015-06-01
• Series: Scientia Agriculturae Bohemica
• Subjects: disadvantaged regions; regional disparities; multi-criteria decision making; data envelopment analysis
• Online Access: https://doi.org/10.1515/sab-2015-0021

The governmental approach to the selection of the Czech regions (NUTS 4) for the state support distribution is analyzed and the Data Envelopment Analysis (DEA) model is proposed. A set of used indicators, their dependence or independence, and their availability in the statistical databases of the Czech Statistical Office are examined. The results of the selection method used by the Czech government (Simple Additive Weighting method with the linear scale transformation procedure based on reference variant) and the results provided by the proposed DEA model (covering both the used indicators and a proposed set of indicators) are compared. All results indicate that the DEA method is a useful tool for the ranking of the regions and for the selection of the regions intended for the concentrated state support. Its advantage is that the weights of the indicators (inputs and outputs) should not be estimated subjectively before computation