D 2017

EVALUATION OF PUBLIC FINANCE IN THE TOURISM SECTOR AT THE MUNICIPAL BUDGET LEVEL

PLZÁKOVÁ, Lucie

Basic 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.