nep-tur New Economics Papers
on Tourism Economics
Issue of 2014‒11‒01
two papers chosen by
Laura Vici
Università di Bologna

  1. Hedonic value of Italian tourism supply: comparing environmental and cultural attractiveness By Valter di Giacinto; Giacinto Micucci
  2. Predictive Validity of Stated Preference Data: Evidence from Mountain Bike Park Visits Before and After Trail System Expansion By Kevin Atkinson; John C. Whitehead

  1. By: Valter di Giacinto (Bank of Italy); Giacinto Micucci (Bank of Italy)
    Abstract: This paper provides an empirical evaluation of the main determinants of hotel prices in the Italian tourism industry. We pool information from two datasets: i) a database on hotel prices and attributes based on the Touring Club Italia Guide and providing information on about 1,100 hotels located in almost 300 towns in the entire Italian coastal region; and ii) a set of neighbourhood characteristics indicators that assess local environmental quality and artistic and cultural attractiveness. On the basis of the results of a hedonic analysis of hotel price differentials, we show that tourists place a high value on both marine environmental quality and local access to artistic and cultural amenities. The contribution to consumer utility is sizeable in both cases, but that of artistic and cultural amenities appears to be more stable across seasons. On the whole, our results suggest that the widespread availability of an extraordinarily rich artistic and cultural endowment, as is the case of Italy, may strongly complement environmental attributes in supporting the non-price competitiveness of the coastal tourism industry.
    Keywords: tourism; environment; artistic and cultural attractiveness
    JEL: L83 Q53 R11 Z11
    Date: 2014–09
  2. By: Kevin Atkinson; John C. Whitehead
    Abstract: This paper investigates the validity of stated preference data for use in recreation demand estimation. We use stated preference and revealed preference data from users of a mountain bike park collected before and after an expansion of the trail system. The ex-ante stated preference data elicited before the change exhibits hypothetical bias, but, it would provide useful information for demand prediction. Key Words: hypothetical bias, recreation demand, revealed preference, stated preference
    JEL: Q26
    Date: 2014

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