Portfolio analysis of foreign tourist demand in Croatia
Portfolio analysis of foreign tourist demand in Croatia
Author(s): Zoran Ivanovic, Suzana Bareša, Siniša BogdanSubject(s): National Economy, Supranational / Global Economy, Economic development, Tourism
Published by: Sveučilište Josipa Jurja Strossmayera u Osijeku, Ekonomski fakultet u Osijeku
Keywords: Croatian tourism; portfolio theory; tourism demand; optimal market mix; inbound tourism;
Summary/Abstract: Tourism is currently one of the most important sectors for the economic development of the Republic of Croatia. It mainly focuses on foreigners from within the EU. Because of the dynamic and very competitive tourist market, it is hard to forecast foreign tourism demand nowadays. It can vary over time among tourists of different nationalities. Stability of inbound tourist demand forms an important condition for the development of tourism and foreign currency income. Considering that tourism policy-makers must distribute available resources to different tourism markets for use in promotion, the purpose of this study is to analyze, by country of origin, the number of overnight stays by inbound foreign tourists in accommodation establishments as well as their average daily spending in Croatia and to construct an optimal mixture of tourists of different nationalities that will help tourism policy-makers to optimize or maximize tourism revenues at a certain level of risk. e main idea of this research is to apply financial portfolio theory to Croatian tourism demand and to construct an optimal mixture of foreign inbound tourists when there is an infinite number of possibilities. Several optimal mixes were calculated with different risk/return options to show on which foreign tourist markets Croatia must focus. For example, to achieve the mixture of foreign tourists that provides the highest level of tourist consumption expenditures, tourism authorities should increase their resources on the German, Slovenian, Italian and Austrian markets. e results of this research can easily be modified according to policy maker’s risk/return preferences.
- Issue Year: 31/2018
- Issue No: 1
- Page Range: 149-162
- Page Count: 14
- Language: English