nep-tur New Economics Papers
on Tourism Economics
Issue of 2014‒05‒17
two papers chosen by
Laura Vici
Universita' di Bologna

  1. Cultural Offer and Distance in a Spatial Interaction Model for Tourism By R. Patuelli; M. Mussoni; G. Candela
  2. A Tourism Financial Conditions Index By Chia-Lin Chang; Hui-Kuang Hsu; Michael McAleer

  1. By: R. Patuelli; M. Mussoni; G. Candela
    Abstract: Culture is more and more considered as an important driver of tourism. However, it is critical, for policymakers, to evaluate the potential returns from investments in culture and generally cultural offer, in particular in multiregion settings with a potentially inefficient distribution of cultural offer. Our paper focuses on the role of distance (between the tourist’s origin and destination regions) in mediating the tourism impact of cultural offer. This research question is investigated by means of a spatial interaction model, applied to the case of Italian domestic tourism. We find that distance indeed matters: a destination’s endowment in culture appears to be more attractive for long-distance tourists, while an origin region’s endowment seems to dinsincentivate long-distance trips to a greater extent.
    JEL: C23 L83 R12 Z10
    Date: 2014–05
    URL: http://d.repec.org/n?u=RePEc:bol:bodewp:wp943&r=tur
  2. By: Chia-Lin Chang; Hui-Kuang Hsu; Michael McAleer (University of Canterbury)
    Abstract: The paper uses monthly data on financial stock index returns, tourism stock sub-index returns, effective exchange rate returns and interest rate differences from April 2005 – August 2013 for Taiwan that applies Chang’s (2014) novel approach for constructing a tourism financial indicator, namely the Tourism Financial Conditions Index (TFCI). The TFCI is an adaptation and extension of the widely-used Monetary Conditions Index (MCI) and Financial Conditions Index (FCI) to tourism stock data. However, the method of calculation of the TFCI is different from existing methods of constructing the MCI and FCI in that the weights are estimated empirically. The empirical findings show that TFCI is estimated quite accurately using the estimated conditional mean of the tourism stock index returns. The new TFCI is straightforward to use and interpret, and provides interesting insights in predicting the current economic and financial environment for tourism stock index returns that are based on publicly available information. In particular, the use of market returns on the tourism stock index as the sole indicator of the tourism sector, as compared with the general activity of economic variables on tourism stocks, is shown to provide an exaggerated and excessively volatile explanation of tourism financial conditions.
    Keywords: Monetary Conditions Index, Financial Conditions Index, Model-based Tourism Financial Conditions Index, Unbiased Estimation
    JEL: B41 E44 E47 G32
    Date: 2014–05–11
    URL: http://d.repec.org/n?u=RePEc:cbt:econwp:14/13&r=tur

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