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Measurement and Analysis of the Dynamics of Financial Performance and Efficiency of Trade in Serbia Based on the DEA Super-Radial Model

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  • Radojko LUKIC

    (University of Belgrade)

Abstract

The issue of measuring and analyzing the dynamics of financial performance and trading efficiency is continuously current, significant and complex. Based on that, this paper measures and analyzes the financial performance and efficiency of trade in Serbia using the strategic profit model and the DEA ( Data Envelopment Analysis) Super-Radial model. According to the strategic profit model, the financial performance of trade in Serbia has recently improved. According to the results of the Super-CCR-I model in the period 2002 - 2020 trade in Serbia was not efficient in any year. According to the results of the Super-CCRO model, trade in Serbia in the period 2002-2020 was not efficient in any year. According to the results of the Super-BCC-I model in the period 2002 - 2020, trade in Serbia was efficient in 2020. According to the results of the Super-BCC-O model, trade in Serbia in the period 2002 - 2020 was efficient in 2002 and 2015. In order to to improve the financial performance and efficiency of trade in Serbia in the future, it is necessary to manage input - output elements (human resources, assets, capital, sales and net profit) as efficiently as possible. Digitization of the entire business plays a significant role in this.

Suggested Citation

  • Radojko LUKIC, 2022. "Measurement and Analysis of the Dynamics of Financial Performance and Efficiency of Trade in Serbia Based on the DEA Super-Radial Model," REVISTA DE MANAGEMENT COMPARAT INTERNATIONAL/REVIEW OF INTERNATIONAL COMPARATIVE MANAGEMENT, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 23(5), pages 630-645, December.
    • Handle: RePEc:rom:rmcimn:v:23:y:2022:i:5:p:630-645
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    1. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    2. Lee, Hsuan-Shih & Chu, Ching-Wu & Zhu, Joe, 2011. "Super-efficiency DEA in the presence of infeasibility," European Journal of Operational Research, Elsevier, vol. 212(1), pages 141-147, July.
    3. Chen Chunhua & Liu Haohua & Tang Lijun & Ren Jianwei, 2021. "A Range Adjusted Measure of Super-Efficiency in Integer-Valued Data Envelopment Analysis with Undesirable Outputs," Journal of Systems Science and Information, De Gruyter, vol. 9(4), pages 378-398, August.
    4. Ján Dobrovič & Veronika Čabinová & Peter Gallo & Petra Partlová & Jan Váchal & Beáta Balogová & Jozef Orgonáš, 2021. "Application of the DEA Model in Tourism SMEs: An Empirical Study from Slovakia in the Context of Business Sustainability," Sustainability, MDPI, vol. 13(13), pages 1-19, July.
    5. Victor V. Podinovski & Tatiana Bouzdine-Chameeva, 2021. "Optimal solutions of multiplier DEA models," Journal of Productivity Analysis, Springer, vol. 56(1), pages 45-68, August.
    6. Nazli ERSOY, 2017. "Performance Measurement in Retail Industry By Using A Multi-Criteria Decision Making Methods," Ege Academic Review, Ege University Faculty of Economics and Administrative Sciences, vol. 17(4), pages 539-551.
    7. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    8. Ruiyue Lin, 2020. "Cross-efficiency evaluation capable of dealing with negative data: A directional distance function based approach," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 71(3), pages 505-516, March.
    9. Nicoleta Cristache & Marian Nãstase & Radu Petrariu & Margareta Florescu, 2019. "Analysis of Congruency Effects of Corporate Responsibility Code Implementation on Corporate Sustainability in Bio-Economy," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 21(52), pages 536-536, August.
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    Cited by:

    1. Radojko LUKIC, 2023. "Analysis of the Trade Performance of the European Union and Serbia on the Base of FF-WASPAS and WASPAS Methods," REVISTA DE MANAGEMENT COMPARAT INTERNATIONAL/REVIEW OF INTERNATIONAL COMPARATIVE MANAGEMENT, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 24(2), pages 228-250, May.
    2. LUKIĆ Radojko, 2023. "Influence of Net Working Capital on Trade Profitability in Serbia," European Journal of Interdisciplinary Studies, Bucharest Economic Academy, issue 01, March.

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    More about this item

    Keywords

    financial performance; efficiency; factors; DEA Super-Radial models; Serbian trade;
    All these keywords.

    JEL classification:

    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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