2016
DOI: 10.1080/13683500.2016.1170772
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Tourism demand: a panel data approach

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Cited by 69 publications
(28 citation statements)
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References 30 publications
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“…We used traditional procedures to identify common factors. After verifying the statistical significance of the data with KMO (with value 0.89) and Bartlett's test of sphericity (2,319,792), the factors were drawn from the correlation matrix using principal components analysis. The criteria for determining the number of factors are an eigenvalue greater than 1 and scree plots.…”
Section: Link Between Tourism and The Level Of Happiness Of Residentsmentioning
confidence: 99%
See 1 more Smart Citation
“…We used traditional procedures to identify common factors. After verifying the statistical significance of the data with KMO (with value 0.89) and Bartlett's test of sphericity (2,319,792), the factors were drawn from the correlation matrix using principal components analysis. The criteria for determining the number of factors are an eigenvalue greater than 1 and scree plots.…”
Section: Link Between Tourism and The Level Of Happiness Of Residentsmentioning
confidence: 99%
“…It is now common knowledge that tourism as an industry has positive and negative impacts on destinations and their communities [1,2]. This can be explained by the Janus-face character of the industry [3,4].…”
Section: Introductionmentioning
confidence: 99%
“…This is in line with the mainstream literature (Chaisumpunsakul and Pholphirul, 2018; Chasapopoulos et al, 2014; Kulendran and Wilson, 2000; Taner et al, 2011). Monetary costs are also a significant determinant of tourism travel across OECD countries: (i) countries that share a common currency tend to have greater tourism flows (a result similar to the one obtained by Culiuc, 2014), and (ii) an appreciation of the currency of the destination country vis-à-vis that of the origin country reduces tourism flows (echoing the conclusions of Culiuc, 2014; Khoshnevis Yazdi and Khanalizadeh, 2017). Sharing the same language seems to facilitate bilateral tourist flows as it would reduce “intangible” traveling costs (Culiuc, 2014; Khadaroo and Seetanah, 2008).…”
Section: Resultsmentioning
confidence: 69%
“…The levelling benefits of tourism and traffic resources comprise both the investment and income of tourism projects. Similar to the socioeconomic benefits, the tourism and traffic resource levelling benefits also function as a positive index in the objective optimization model of the highway network in terms of previous study results [41], of which we utilize the following equation:…”
Section: Leveling Benefits Of Tourism and Traffic Resourcementioning
confidence: 99%