Analysing tourists inflows in the town of Opatija
This study attempts to identify an autoregressive distributed lag model (ADLM) as the data generating process of tourism demand in Opatija approximated by tourist nights. Empirical finding yield to the conclusion that the final model passes all the diagnostic checking and that model fits the data re...
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Visoka turistička škola strukovnih studija, Beograd
2019-01-01
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Online Access: | https://scindeks-clanci.ceon.rs/data/pdf/0354-3099/2019/0354-30991924041B.pdf |
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doaj-3d3361c21a4d4db5951e953f1512ee942020-11-25T04:11:06ZengVisoka turistička škola strukovnih studija, BeogradTurističko Poslovanje0354-30992560-33612019-01-0120192441500354-30991924041BAnalysing tourists inflows in the town of OpatijaBaldigara Tea0University of Rijeka, Faculty of Tourism and Hospitality Management, Opatija, HrvatskaThis study attempts to identify an autoregressive distributed lag model (ADLM) as the data generating process of tourism demand in Opatija approximated by tourist nights. Empirical finding yield to the conclusion that the final model passes all the diagnostic checking and that model fits the data reasonably well throughout the sample period. Quantitative researches of tourism demand and accurate forecasts generating should be at the basis of efficient and effective planning and decision-making. Tourism demand modelling and forecasting, as many studies and researches demonstrated, is a relevant issue that can be helpful to all the stakeholders involved in the tourism and hotel industry. The accurate and timely forecast can anticipate future trends and allow to plan, organise and structure tourism capacities and supply more efficiently.https://scindeks-clanci.ceon.rs/data/pdf/0354-3099/2019/0354-30991924041B.pdfopatijatourism demandtourists nightsadlm |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Baldigara Tea |
spellingShingle |
Baldigara Tea Analysing tourists inflows in the town of Opatija Turističko Poslovanje opatija tourism demand tourists nights adlm |
author_facet |
Baldigara Tea |
author_sort |
Baldigara Tea |
title |
Analysing tourists inflows in the town of Opatija |
title_short |
Analysing tourists inflows in the town of Opatija |
title_full |
Analysing tourists inflows in the town of Opatija |
title_fullStr |
Analysing tourists inflows in the town of Opatija |
title_full_unstemmed |
Analysing tourists inflows in the town of Opatija |
title_sort |
analysing tourists inflows in the town of opatija |
publisher |
Visoka turistička škola strukovnih studija, Beograd |
series |
Turističko Poslovanje |
issn |
0354-3099 2560-3361 |
publishDate |
2019-01-01 |
description |
This study attempts to identify an autoregressive distributed lag model (ADLM) as the data generating process of tourism demand in Opatija approximated by tourist nights. Empirical finding yield to the conclusion that the final model passes all the diagnostic checking and that model fits the data reasonably well throughout the sample period. Quantitative researches of tourism demand and accurate forecasts generating should be at the basis of efficient and effective planning and decision-making. Tourism demand modelling and forecasting, as many studies and researches demonstrated, is a relevant issue that can be helpful to all the stakeholders involved in the tourism and hotel industry. The accurate and timely forecast can anticipate future trends and allow to plan, organise and structure tourism capacities and supply more efficiently. |
topic |
opatija tourism demand tourists nights adlm |
url |
https://scindeks-clanci.ceon.rs/data/pdf/0354-3099/2019/0354-30991924041B.pdf |
work_keys_str_mv |
AT baldigaratea analysingtouristsinflowsinthetownofopatija |
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1724418663789887488 |