Naslov
Propensity to Travel: What The Macro-data Are Telling Us?

Autori
Kožić, Ivan ; Mikulić, Josip ; Krešić, Damir

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of 5th international conference on Advances in Tourism Economics (ATE2014) / Matias, Alvaro - Lisabon : Universidades Lusiada, 2014

Skup
5th international conference on Advances in Tourism Economics (ATE2014)

Mjesto i datum
Lisabon, Portugal, 15.05.2014. - 16.05.2014

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
propensity to travel; socio-demographic factors of propensity to travel; macro-level analysis; nonparametric statistics

Sažetak
Propensity to travel, loosely defined as willingness of a person to become a tourist, is one of the most fundamental concepts of tourism research. It is deeply rooted into the core of tourism demand, and draws the attention of actors on tourism supply-side. Three of the theoretically most discussed socio-demographic determinants of propensity to travel are: age, education and income. It is quite dogmatically accepted that these three socio-demographic factors immensely influence somebody’s willingness to become a tourist. The aim of the present paper is to examine this stance by conducting an empirical analysis of the determinants of propensity to travel on the macro level. In 2011, the European Parliament and The European Council have adopted the Regulation by which the Member States are obligated to compile annual data on trips of its residents. Accordingly, the data on participation in tourism for personal purposes of EU inhabitants have recently been published by Eurostat. Besides the total number of trips, data on socio-demographic characteristics of EU residents are also publicly available. Those data were used to answer the question which of the determinants of propensity to travel are truly important. In this regard, the abovementioned determinants of propensity to travel are examined on the sample of countries that are members of European Union. Since there are fewer than 30 such countries, the analyzed sample is considered to be small. Nonparametric techniques are thus used in analyzing the data.

Izvorni jezik
Engleski

Znanstvena područja
Ekonomija

POVEZANOST RADA