Detailed Information on Publication Record
2019
Financial variables affecting the liquidity of those profitable medium-sized companies within tourism in Bulgaria, the Czech Republic and Poland
HERYÁN, Tomáš and Petra RŮČKOVÁBasic information
Original name
Financial variables affecting the liquidity of those profitable medium-sized companies within tourism in Bulgaria, the Czech Republic and Poland
Authors
Edition
2019. vyd. Newcastle upon Tyne, Research, Development and Education in Tourism, p. 181-198, 18 pp. 2019
Publisher
Cambridge Scholars Publishing
Other information
Language
English
Type of outcome
Kapitola resp. kapitoly v odborné knize
Country of publisher
United Kingdom of Great Britain and Northern Ireland
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
printed version "print"
References:
Organization unit
School of Business Administration in Karvina
ISBN
978-1-5275-3719-4
Tags
Tags
International impact, Reviewed
Links
SGS/7/2018, research and development project.
Změněno: 10/1/2020 15:09, Ing. Tomáš Heryán, Ph.D.
Abstract
V originále
It is without any doubt that business decisions for sustainable development in tourism are affected by the financial decisions of financial managers. This chapter focuses on the issue of financial management decisions. Liquidity of a company has a key role within financial management among all industries, including tourism. However, the question still remains. What drives liquidity among those profitable hotels and travel agencies? The aim of the study is to estimate, how liquidity is affected by selected financial variables among profitable medium-sized companies within tourism in Bulgaria, the Czech Republic, and Poland. Through the following analysis financial data has been obtained from the annual reports of 1,690 medium-sized tourism companies collected within AMADEUS, the international statistical database. The estimated period is from 2006 to 2015. As the main estimation method, the Generalized Method of Moments (GMM) with panel data is deployed. Then a comparison is made between both the whole sample and these profitable hotels as well as travel agencies in selected countries.