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Open AccessArticle

A Multicriteria Decision Aid-Based Model for Measuring the Efficiency of Business-Friendly Cities

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Office for Information Technologies and e-Government, Government of the Republic of Serbia, 11221 Belgrade, Serbia
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Ministry of Interior, Government of the Republic of Serbia, 11221 Belgrade, Serbia
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Science Technology Park, 18000 Niš, Serbia
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Faculty of Organizational Sciences, University of Belgrade, 11221 Belgrade, Serbia
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Faculty of Sciences and Mathematics, University of Criminal Investigation and Police Studies, 11221 Belgrade, Serbia
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Academy for National Security, 11221 Belgrade, Serbia
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Faculty of Diplomacy and Security, University Union-Nikola Tesla, 11221 Belgrade, Serbia
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Author to whom correspondence should be addressed.
Symmetry 2020, 12(6), 1025; https://doi.org/10.3390/sym12061025
Received: 26 May 2020 / Revised: 10 June 2020 / Accepted: 14 June 2020 / Published: 17 June 2020
(This article belongs to the Special Issue Uncertain Multi-criteria Optimization Problems)
Local self-government has the task of enabling stable economic development, in addition to enabling a normal quality of life for citizens. This is why the state government should provide guidelines that will improve the local business climate, and by doing so enable local economic development. This can be done through the introduction of a business-friendly certification procedure, which is influenced by uncertain inputs and influences many output factors. Each local government has the important task of determining its rank of efficiency in this process. A number of methodologies developed to solve this problem are generally divided into two groups: Parametric and non-parametric. These two groups of methodologies could provide quite different results. Therefore, the purpose of this paper was to create a model using both approaches to achieve a balanced symmetrical approach that produces better results than each approach individually. For this purpose, the paper describes a multicriteria decision aid-based model of optimization to evaluate the effectiveness of this process, integrating classification, data envelopment analysis, and stochastic frontier analysis, as well as its application in a case study of business-friendly certification in the Republic of Serbia. View Full-Text
Keywords: MCDA; efficiency; DEA; SFA; classification; dimensionality reduction MCDA; efficiency; DEA; SFA; classification; dimensionality reduction
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Jovanović, M.; Nedeljković, S.; Ranđelović, M.; Savić, G.; Stojanović, V.; Stojanović, V.; Ranđelović, D. A Multicriteria Decision Aid-Based Model for Measuring the Efficiency of Business-Friendly Cities. Symmetry 2020, 12, 1025.

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