Methods frontier analysis as a tool for comparative studies
Available Online June 2019.
- https://doi.org/10.2991/cssdre-19.2019.91How to use a DOI?
- comparative analysis, frontier analysis methods, DEA, innovation effectiveness
- The article provides definitions and approaches to the classification of methods and models of comparative analysis. The work represents disadvantages of the most common methods are given. Methods of frontier analysis we proposes to use as tools for comparative studies. These techniques allow evaluate the deviation of the effectiveness of the test object or phenomenon with respect to a boundary that generates based on the analysis of similar objects. This gives grounds to judge the possibility of their use in comparative analysis. This paper describes the essence of the nonparametric method of frontier analysis. DEA (Data Environment Analyzes). The focus of the method is the evaluation of the comparative technical efficiency of the objects. We have considered an example of the use of the DEA method for a comparative study of the problem of the effectiveness of investments in various branches of production in the region. The results of the application of the approach make it possible to judge the prospects of its application as one of the elements of the comparative analysis of complex phenomena. The use of DEA in this task allows us to overcome the problems of lack of accurate quantitative data and accounting for the qualitative results of the processes that arise when using other methods of comparative analysis.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Natalya Poluektova PY - 2019/06 DA - 2019/06 TI - Methods frontier analysis as a tool for comparative studies BT - Volgograd State University International Scientific Conference "Competitive, Sustainable and Safe Development of the Regional Economy" (CSSDRE 2019) PB - Atlantis Press SP - 467 EP - 471 SN - 2352-5428 UR - https://doi.org/10.2991/cssdre-19.2019.91 DO - https://doi.org/10.2991/cssdre-19.2019.91 ID - Poluektova2019/06 ER -