Modeling Travel Expenditures for Taiwanese Tourism

Expenditure-based Segmentation of Visitors to the Wacky Wine Festival

“…Places of residence indicated that high-spenders stem from Gauteng Province which supports findings by and Kruger (2009) with regard to other festivals in South Africa. Length of stay was also identified as a variable contributing to higher spending, thereby confirming research conducted by Seiler et al (2002) and Thrane (2002). These variables could be used in a marketing campaign to target potential visitors who compare favourably with the profile of the spenders.…”

Micro-economic determinants of tourist expenditure: A quantile regression approach

“…In the majority of studies, this determinant is found to be significant, although with a varying sign. A positive sign is associated with total tourist expenditure (Craggs & Schofield, 2009;Downward & Lumsdon, 2003;Laesser & Crouch, 2006;Lee, 2001;Seiler, Hsieh, Seiler, & Hsieh, 2002) and a negative sign with per person tourist expenditure (Alegre et al, 2011;Mok & Iverson, 2000;Wu et al, 2013). Thrane and Farstad (2011) also report evidence of significant non-linearities, with per capita expenditure becoming positive beyond a certain number (nine) of participants.…”

Determinants of Spending: an Evaluation of Three Major Sporting Events

“…One of these was age, which some researchers found had a positive relationship (Mok and Iverson, ; Thrane, ; Saayman and Saayman, ; Kruger, ; Saayman and Krugell, ), whereas others found the opposite (Pouta et al , ; Mehmetoglu, ). The same applied for group size, which Mak et al (), Thrane (), Seiler et al () and Lee () found had a positive relationship, but Saayman and Saayman () found the opposite. The effect of marital status was found to be inconclusive (Saayman et al , ), as was the impact of gender: research found the higher spenders to be both men (Thrane, ) and women (Letho et al , ; Craggs and Schofield, ).…”