Detailed Information on Publication Record
2017
EVALUATION OF PUBLIC FINANCE IN THE TOURISM SECTOR AT THE MUNICIPAL BUDGET LEVEL
PLZÁKOVÁ, LucieBasic information
Original name
EVALUATION OF PUBLIC FINANCE IN THE TOURISM SECTOR AT THE MUNICIPAL BUDGET LEVEL
Authors
PLZÁKOVÁ, Lucie
Edition
Polsko, APPLICATIONS OF MATHEMATICS AND STATISTICS IN ECONOMICS 2017 CONFERENCE PROCEEDINGS FULL TEXT PAPERS, p. 343-354, 494 pp. 2017
Publisher
Wrocław University of Economics
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
50200 5.2 Economics and Business
Country of publisher
Poland
Confidentiality degree
není předmětem státního či obchodního tajemství
Organization unit
University College Prague – University of International Relations and Institute of Hospitality Management and Economics, Ltd.
ISBN
978-83-7695-693-0
Keywords in English
3E, local fees, tourism, municipalities, public finance
Změněno: 19/1/2018 14:28, Ing. Lucie Plzáková, Ph.D.
Abstract
V originále
The Assessment of public finance in the context of their allocation function is usually defined by criteria called. 3E: economy, efficiency and effectiveness. This approach is used for analyses of public finance at the municipal level from the point of view of revenues from local taxes in direct connection with tourism and expenditures invested into tourism sector on the other hand. There is a total of 6,252 municipalities in the Czech Republic (2015). 903 municipalities (14.4 %) applied a local spa or recreational stay fee and 1,387 municipalities (22.2 %) applied local accommodation capacity fee in 2015. Municipalities gained 6.8 bn. CZK from both local fees during the reporting period 2000 – 2015. Prague, the capital city, holds a dominant position as far as the volume of financial means drawn through these fees is concerned. Investments into tourism development is much lower on the local level. The article aims to evaluate utilization of public finances in the tourism sector on local budget levels in the Czech Republic. A time series analysis, Pearson correlation coefficient, index analysis and comparison were used to achieve the goal. The primary and secondary data were subjected to the analysis.