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Published in 2022 at "Empirical Economics"
DOI: 10.1007/s00181-021-02193-2
Abstract: The relationship between corruption and tourism has been sporadically examined over the years. According to the existing theory, there is an inverted U relationship which implies that tourism demand initially increases as corruption increases (greasing…
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Keywords:
corruption tourism;
relationship;
tourism demand;
corruption ... See more keywords
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Published in 2019 at "Annals of Tourism Research"
DOI: 10.1016/j.annals.2018.12.001
Abstract: This study reviews 211 key papers published between 1968 and 2018, for a better understanding of how the methods of tourism demand forecasting have evolved over time. The key findings, drawn from comparisons of method-performance…
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Keywords:
demand forecasting;
tourism;
annals tourism;
tourism demand ... See more keywords
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Published in 2019 at "Annals of Tourism Research"
DOI: 10.1016/j.annals.2018.12.019
Abstract: Abstract This study used scoring rules to evaluate density forecasts generated by different time-series models. Based on quarterly tourist arrivals to Hong Kong from ten source markets, the empirical results suggest that density forecasts perform…
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Keywords:
demand forecasting;
density forecasts;
tourism;
density ... See more keywords
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Published in 2019 at "Annals of Tourism Research"
DOI: 10.1016/j.annals.2018.12.024
Abstract: Abstract This study conducts spatial-temporal forecasting to predict inbound tourism demand in 29 Chinese provincial regions. Eight models are estimated among a-spatial models (autoregressive integrated moving average [ARIMA] model and unobserved component model [UCM]) and…
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Keywords:
forecasting tourism;
tourism demand;
temporal forecasting;
spatial temporal ... See more keywords
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Published in 2020 at "Annals of Tourism Research"
DOI: 10.1016/j.annals.2020.102969
Abstract: Abstract This paper develops an intuitive methodology to reveal latent tourism demand. The aim is to quantify its scale by distinguishing the pair of origin-destination and the kind of tourism. The methodology starts measuring the…
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Keywords:
tourism;
methodology;
tourism demand;
shares method ... See more keywords
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Published in 2020 at "Biological Conservation"
DOI: 10.1016/j.biocon.2020.108688
Abstract: Abstract We examine tourism demand for an iconic ecological resource – the migration of ~1.3 million wildebeest (Connochaetes taurinus) in the Serengeti-Mara ecosystem. The wildebeest migration generates economic benefits through ecotourism, which we investigated by…
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Keywords:
tourist;
migration;
wildebeest migration;
tourism demand ... See more keywords
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Published in 2019 at "Physica A: Statistical Mechanics and its Applications"
DOI: 10.1016/j.physa.2019.04.155
Abstract: Abstract We study the interconnectedness of international tourism demand changes among 30 European countries. Using cross-quantilogram analysis, we estimate the strength of the directional (lead/lag) relationships of the international tourism demand of European countries in…
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Keywords:
tourism;
interconnectedness international;
tourism demand;
international tourism ... See more keywords
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Published in 2017 at "Tourism Management"
DOI: 10.1016/j.tourman.2016.07.005
Abstract: Researchers have adopted online data such as search engine query volumes to forecast tourism demand for a destination, including tourist numbers and hotel occupancy. However, the massive yet highly correlated query data pose challenges when…
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Keywords:
search index;
composite search;
index;
search ... See more keywords
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Published in 2018 at "Tourism Management"
DOI: 10.1016/j.tourman.2018.03.007
Abstract: Abstract Tourism is largely dependent on climate and weather, and thus climatic attributes are expected to alter decisions of tourists. Utilising transaction data from a leading online travel agent (OTA) in China, this study explores…
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Keywords:
tourism;
outbound tourism;
disposable income;
tourism demand ... See more keywords
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Published in 2021 at "Tourism Management"
DOI: 10.1016/j.tourman.2020.104263
Abstract: Abstract This study proposes a hierarchical pattern recognition method for tourism demand forecasting. The hierarchy consists of three tiers: the first tier recognizes the calendar pattern of tourism demand, identifying work days and holidays and…
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Keywords:
pattern recognition;
tourism;
hierarchical pattern;
tourism demand ... See more keywords
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Published in 2018 at "Current Issues in Tourism"
DOI: 10.1080/13683500.2016.1218827
Abstract: The purpose of this study is to examine tourism demand for Singapore from 1995 to 2013 by six major origin countries which belong to three different regions. Unlike prior tourism research, we take into account…
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Keywords:
tourism;
tourist;
association;
tourism demand ... See more keywords