Statistical analysis of the effectiveness of the accounts receivable management on the cargo motor transportation enterprises

Kylnytsvska Y. V. and Gluhova S. V.
Additional contact information
Kylnytsvska Y. V.: KNUCA
Gluhova S. V.: NTU «KPI»

Вісник економіки транспорту і промисловості, 2014, issue 45, 78-83

Abstract: In the article the efficiency of accounts receivable management on cargo motor transportation enterprises is analyzed using the method of statistical analysis, namely middle descriptions of variation row of account receivable of cargo motor transportation enterprises are analysed; the analysis of unevenness of distributing of the account receivable of cargo motor transportation enterprises is conducted; the degree of dirigibility of conduct of debtors of cargo motor transportation enterprises is appraised. Using information of account receivable of cargo motor transportation enterprises after basic debtors management efficiency is appraised with application of methods variation statistical research. It, before everything, such indexes, as average arithmetic, fashion, median, indexes of concentration and unevenness of distributing of account receivable. In last case the question is about legitimacy of application of coefficients Gini, Herfindahl-Hirschman index, variations, asymmetries of Pirson.

Keywords: ДЕБіТОРСЬКА ЗАБОРГОВАНіСТЬ; ПіДПРИєМСТВА ВАНТАЖНОГО АВТОТРАНСПОРТУ (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

Downloads: (external link)
http://cyberleninka.ru/article/n/statistical-analy ... ortation-enterprises

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:scn:031720:15661448

Access Statistics for this article

More articles in Вісник економіки транспорту і промисловості from CyberLeninka, Украинская государственная академия железнодорожного транспорта
Bibliographic data for series maintained by CyberLeninka ().