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Application of MABAC Method in Evaluation of Sector Efficiency in Serbia

Authors: Radojko LUKIC;

Application of MABAC Method in Evaluation of Sector Efficiency in Serbia

Abstract

In recent times, as is well known, various methods of multi-criteria analysis are increasingly used in order to more accurately evaluate the efficiency of companies from all economic sectors. One of them is the MABAC method. Having this in mind, this paper analyzes the sectoral efficiency in Serbia on the basis of this method. The obtained results of the research of sectoral efficiency in Serbia on the basis of the MABAC method show to be in the first place in terms of efficiency of wholesale and retail trade, repair of motor vehicles and motorcycles. The following are: manufacturing, other activities, construction, electricity, gas, steam and air conditioning supply, information and communication, agriculture, forestry and fishing, transport and storage, mining, financial and insurance activities, accommodation and food services and water supply. The very nature of them significantly influences their positioning in terms of efficiency, especially in the conditions of the Covid-19 virus coronary virus. The impact of the Covid-19 coronary virus pandemic on the efficiency of wholesale and retail trade, repair of motor vehicles and motorcycles, for example, is negligible. It has been greatly mitigated with increased electronic sales. In contrast, transport and storage, banks and food and accommodation services have significantly felt the negative effect of the Covid-19 coronary virus pandemic on efficiency.

Keywords

mabac method, Economics as a science, Business records management, efficiency, determinants, sector analysis, serbia, HF5735-5746, HB71-74

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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