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Pregled bibliografske jedinice broj: 785090

Forecasting Croatian inbound tourism demand


Tica, Josip; Kožić, Ivan
Forecasting Croatian inbound tourism demand // Economic Research, 28 (2015), 1; 1046-1062 doi:10.1080/1331677X.2015.1100842 (međunarodna recenzija, članak, znanstveni)


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Naslov
Forecasting Croatian inbound tourism demand

Autori
Tica, Josip ; Kožić, Ivan

Izvornik
Economic Research (1331-677X) 28 (2015), 1; 1046-1062

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
tourism demand; forecasting; leading indicators; composite indicator; Granger causality; weights optimisation

Sažetak
The aim of this paper is to present a forecasting model for the overnight stays of foreign tourists in Croatia. Tourism is one of the most important parts of the Croatian economy. It is particularly important in the context of the services sector. Regular and significant surpluses and the consumption of foreign guests are an important element of budget revenues, especially VAT. The ability to forecast the development of inbound tourism demand in a timely manner is crucial for both business decisions and policy-making. We combine the Granger causality test for identifying leading indicators with a grid search of the weights used to construct a composite indicator. An endogenous grid search for data driven weights was employed to minimise the mean absolute percentage error (MAPE) of the out-of-sample forecast. In total, we carried out 7.7 billion out-of-sample regressions in order to find the optimal combination of leading indicator weights. Results indicate that only four out of the 12 identified leading indicators are relevant in explaining variations in inbound tourism demand. The most important leading indicators are: real GDP and imports in Poland and gross wages in the Czech Republic and Slovakia.

Izvorni jezik
Engleski

Znanstvena područja
Ekonomija



POVEZANOST RADA


Ustanove:
Ekonomski fakultet, Zagreb,
Institut za turizam, Zagreb

Profili:

Avatar Url Ivan Kožić (autor)

Avatar Url Josip Tica (autor)

Poveznice na cjeloviti tekst rada:

doi www.tandfonline.com www.tandfonline.com

Citiraj ovu publikaciju:

Tica, Josip; Kožić, Ivan
Forecasting Croatian inbound tourism demand // Economic Research, 28 (2015), 1; 1046-1062 doi:10.1080/1331677X.2015.1100842 (međunarodna recenzija, članak, znanstveni)
Tica, J. & Kožić, I. (2015) Forecasting Croatian inbound tourism demand. Economic Research, 28 (1), 1046-1062 doi:10.1080/1331677X.2015.1100842.
@article{article, author = {Tica, Josip and Ko\v{z}i\'{c}, Ivan}, year = {2015}, pages = {1046-1062}, DOI = {10.1080/1331677X.2015.1100842}, keywords = {tourism demand, forecasting, leading indicators, composite indicator, Granger causality, weights optimisation}, journal = {Economic Research}, doi = {10.1080/1331677X.2015.1100842}, volume = {28}, number = {1}, issn = {1331-677X}, title = {Forecasting Croatian inbound tourism demand}, keyword = {tourism demand, forecasting, leading indicators, composite indicator, Granger causality, weights optimisation} }
@article{article, author = {Tica, Josip and Ko\v{z}i\'{c}, Ivan}, year = {2015}, pages = {1046-1062}, DOI = {10.1080/1331677X.2015.1100842}, keywords = {tourism demand, forecasting, leading indicators, composite indicator, Granger causality, weights optimisation}, journal = {Economic Research}, doi = {10.1080/1331677X.2015.1100842}, volume = {28}, number = {1}, issn = {1331-677X}, title = {Forecasting Croatian inbound tourism demand}, keyword = {tourism demand, forecasting, leading indicators, composite indicator, Granger causality, weights optimisation} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Social Science Citation Index (SSCI)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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