IDEAS home Printed from
   My bibliography  Save this article

Comparative analysis of regions in the Czech Republic according to choosen criteria using the DEA method


  • Jana Friebelová

    () (University of South Bohemia in České Budějovice)

  • Ludvík Friebel

    () (University of South Bohemia in České Budějovice)

  • Marek Šulista

    () (University of South Bohemia in České Budějovice)


Our work has several aims. We have evaluated the Quality of life of the regions (NUTS 3 regions) in the Czech Republic, according to the selected criteria by the Data Envelopment Analysis (DEA) method. This method was initially proposed to evaluate the efficiency. In this paper, the level of efficiency represents the level of life quality. The efficiency (quality of life) is in this case represented as a share of an output in weighted sum of inputs. In other words, it represents a certain degree to which the desirable output can offset undesirable indicators. Hence, we have considered three input types (the unemployment rate, criminality, and the specific emissions) and one output (the average salary). In addition to the efficiency score, DEA method provides weights of particular inputs and outputs. These weights are used to find contributions of particular criteria to the achieved score. This enables us to determine the strong and weak points of the districts. At the same time, we have observed a possible connection between the achieved efficiency score and the average prices of dwellings in the same year. In another part, we evaluate the development of the life quality in regions in time using Malmquist index. Based on the obtained results, we have made a regression model describing the influence of this index on the dwelling prices in the following year.

Suggested Citation

  • Jana Friebelová & Ludvík Friebel & Marek Šulista, 2011. "Comparative analysis of regions in the Czech Republic according to choosen criteria using the DEA method," Acta Universitatis Bohemiae Meridionales, University of South Bohemia in Ceske Budejovice, vol. 14(1), pages 125-134.
  • Handle: RePEc:boh:actaub:v:14:y:2011:i:1:p:125-134

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. Sheu, Jiuh-Biing, 2004. "A hybrid fuzzy-based approach for identifying global logistics strategies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 40(1), pages 39-61, January.
    2. Pi-Fang Hsu & Bi-Yu Chen, 2007. "Developing and Implementing a Selection Model for Bedding Chain Retail Store Franchisee Using Delphi and Fuzzy AHP," Quality & Quantity: International Journal of Methodology, Springer, vol. 41(2), pages 275-290, April.
    3. Kahraman, Cengiz & Cebeci, Ufuk & Ruan, Da, 2004. "Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey," International Journal of Production Economics, Elsevier, vol. 87(2), pages 171-184, January.
    4. Leung, L. C. & Cao, D., 2000. "On consistency and ranking of alternatives in fuzzy AHP," European Journal of Operational Research, Elsevier, vol. 124(1), pages 102-113, July.
    5. Buckley, James J. & Feuring, Thomas & Hayashi, Yoichi, 2001. "Fuzzy hierarchical analysis revisited," European Journal of Operational Research, Elsevier, vol. 129(1), pages 48-64, February.
    6. Cheng-Ru Wu & Che-Wei Chang & Hung-Lung Lin, 2008. "FAHP Sensitivity Analysis for Measurement Nonprofit Organizational Performance," Quality & Quantity: International Journal of Methodology, Springer, vol. 42(3), pages 283-302, June.
    Full references (including those not matched with items on IDEAS)


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:boh:actaub:v:14:y:2011:i:1:p:125-134. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Tereza Š ástková). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.