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Economic-Statistical Analysis of selected Criteria of Tourist Industry in the Czech Republic

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F25619161%3A_____%2F20%3AN0000013" target="_blank" >RIV/25619161:_____/20:N0000013 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://ibima.org/conference/35th-ibima-conference/" target="_blank" >https://ibima.org/conference/35th-ibima-conference/</a>

  • DOI - Digital Object Identifier

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Economic-Statistical Analysis of selected Criteria of Tourist Industry in the Czech Republic

  • Popis výsledku v původním jazyce

    The article deals with the analysis of a number of guests and a number of overnight lodgings in four- and five-star hotels in the Czech Republic, sorted by residents and non-residents within the time series 2012 – 2018. Further it studies a dependence of a gross domestic product on a number of guests and a number of overnight lodgings. Through the regression and correlation analysis there were find out high values of correlation coefficients of the studied dependences; correlation coefficient value was 0.995 for a number of guests and gross domestic product, and 0.986 for a number of overnight lodgings and gross domestic product, which shows an evidence of almost perfect dependence. Furthermore, using the triple classification analysis of variance at the significance level  = 0.05 there were found statistically conclusive differences for the variable "number of guests" in all classification criteria (year, hotel category, type of guest). For the variable "number of overnight lodgings" the F-test was provable only for the criterion "hotel category". Detailed evaluation of the analysis of variance by the Tukey's method shows statistically conclusive difference between a number of guests and a numbers of overnight lodgings in respect of the hotel category. Both the number of guests and number of overnight lodgings in the four-star hotels provably differs from those in the five-star hotels.

  • Název v anglickém jazyce

    Economic-Statistical Analysis of selected Criteria of Tourist Industry in the Czech Republic

  • Popis výsledku anglicky

    The article deals with the analysis of a number of guests and a number of overnight lodgings in four- and five-star hotels in the Czech Republic, sorted by residents and non-residents within the time series 2012 – 2018. Further it studies a dependence of a gross domestic product on a number of guests and a number of overnight lodgings. Through the regression and correlation analysis there were find out high values of correlation coefficients of the studied dependences; correlation coefficient value was 0.995 for a number of guests and gross domestic product, and 0.986 for a number of overnight lodgings and gross domestic product, which shows an evidence of almost perfect dependence. Furthermore, using the triple classification analysis of variance at the significance level  = 0.05 there were found statistically conclusive differences for the variable "number of guests" in all classification criteria (year, hotel category, type of guest). For the variable "number of overnight lodgings" the F-test was provable only for the criterion "hotel category". Detailed evaluation of the analysis of variance by the Tukey's method shows statistically conclusive difference between a number of guests and a numbers of overnight lodgings in respect of the hotel category. Both the number of guests and number of overnight lodgings in the four-star hotels provably differs from those in the five-star hotels.

Klasifikace

  • Druh

    D - Stať ve sborníku

  • CEP obor

  • OECD FORD obor

    50204 - Business and management

Návaznosti výsledku

  • Projekt

  • Návaznosti

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Ostatní

  • Rok uplatnění

    2020

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název statě ve sborníku

    35th IBIMA Conference

  • ISBN

    9780999855140

  • ISSN

  • e-ISSN

  • Počet stran výsledku

    9

  • Strana od-do

  • Název nakladatele

    nternational Business Information Management Association

  • Místo vydání

    Sevila

  • Místo konání akce

    Sevila

  • Datum konání akce

    1. 4. 2020

  • Typ akce podle státní příslušnosti

    WRD - Celosvětová akce

  • Kód UT WoS článku