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Analiza povezanosti odabranih čimbenika i pokazatelja turističkog prometa

Relationship analysis of selected factors and tourism indicators
Authors: Škarica Stupičić , Suzana; Raspor Janković, Sanja;

Analiza povezanosti odabranih čimbenika i pokazatelja turističkog prometa

Abstract

Tourism takes an important place in Croatian economy, thus it is necessary to take into account factors that may impact tourism results. The purpose of the present study is to analyse the relationship between selected factors that are related to emitive countries on the one hand, and the number of tourist arrivals and tourist nights in Croatia, on the other hand. This paper deals with factors that are related to emitive countries, for which it is assumed that they may be connected with tourism results in receptive countries, and on which receptive countries cannot have any influence: GDP per capita, average annual net earnings, population, average travel costs, average travel time, and average distance of emitive countries from destinations in Croatia. The analysis is based on the secondary data that has been gathered from domestic and foreign databases. Data has been analyzed using correlation and regression analyses. Results indicate that the relationships between selected indicators are relatively weak or small, but most often they are not statistically significant. However, according to the findings, it can be concluded that: (a) there is a statistically significant relationship between GDP per capita in selected emitive countries and the number of tourist nights in Croatia, (b) there is a statistically significant relationship between average annual net earnings and the number of tourist arrivals in Croatia, (c) there is a statistically significant relationship between average annual net earnings and the number of tourist nights in Croatia. Results indicate that there are factors that are not related to investments in marketing, tourism offer and infrastructure, but they impact tourism results in Croatia.

Turizam zauzima značajno mjesto u hrvatskom gospodarstvu, stoga je bitno poznavati čimbenike koji utječu na turističke rezultate. Svrha ovog istraživanja analizirati je povezanost odabranih čimbenika koji se odnose na pojedine emitivne države, s jedne strane, i dolazaka i noćenja turista u Hrvatskoj, s druge. U ovom radu promatrani su čimbenici koji se odnose na emitivne države, za koje se pretpostavlja da mogu biti povezani s turističkim rezultatima u receptivnim državama, a na koje receptivne države ne mogu utjecati: BDP po glavi stanovnika, prosječna godišnja neto primanja, broj stanovnika, prosječni troškovi putovanja, prosječno vrijeme putovanja i prosječna udaljenost emitivnih država od odredišta u Hrvatskoj. Analiza se temelji na sekundarnim podacima, prikupljenim iz domaćih i stranih baza podataka. Prikupljeni podaci analizirani su primjenom metoda korelacijske i regresijske analize. Rezultati pokazuju kako između promatranih pokazatelja postoji relativno slaba ili neznatna povezanost, ali najčešće ona nije statistički značajna. Ipak, na temelju dobivenih rezultata može se zaključiti sljedeće: (a) postoji statistički značajna veza između BDP-a po glavi stanovnika u odabranim emitivnim državama i broja noćenja turista u Hrvatskoj; (b) postoji statistički značajna veza između prosječnih godišnjih neto primanja i broja dolazaka turista u Hrvatsku te (c) postoji statistički značajna veza između prosječnih godišnjih neto primanja i broja noćenja turista u Hrvatskoj. Rezultati pokazuju kako postoje čimbenici nevezani uz ulaganja u marketing, turističku ponudu i infrastrukturu, a koji utječu na turističke rezultate u Hrvatskoj.

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Keywords

number of tourist arrivals and tourist nights, čimbenici koji utječu na turistički promet, broj dolazaka i broj noćenja turista, korelacijska analiza, model jednostavne linearne regresije, Hrvatska, broj dolazaka i broj noćenja turista, čimbenici koji utječu na turistički promet, Croatia, korelacijska analiza, correlation analysis, simple linear regression model, Hrvatska, model jednostavne linearne regresije, factors influencing tourism indicators

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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