nep-tur New Economics Papers
on Tourism Economics
Issue of 2013‒06‒16
two papers chosen by
Antonello Scorcu
University of Bologna

  1. Airport Congestion and Airline Network Structure By Fageda, Xavier, 1975-; Flores-Fillol, Ricardo
  2. An examination of tourist arrivals dynamics using short-term time series data: a space-time cluster approach By Dogan Gursoy; Anna Maria Parroco; Raffaele Scuderi

  1. By: Fageda, Xavier, 1975-; Flores-Fillol, Ricardo
    Abstract: This paper provides a theoretical and empirical analysis of the relationship between airport congestion and airline network structure. We find that the development of hub-and-spoke (HS) networks may have detrimental effects on social welfare in presence of airport congestion. The theoretical analysis shows that, although airline pro ts are typically higher under HS networks, congestion could create incentives for airlines to adopt fully-connected (FC) networks. However, the welfare analysis leads to the conclusion that airlines may have an inefficient bias towards HS networks. In line with the theoretical analysis, our empirical results show that network airlines are weakly infl uenced by congestion in their choice of frequencies from/to their hub airports. Consistently with this result, we con firm that delays are higher in hub airports controlling for concentration and airport size. Keywords: airlines; airport congestion; fully-connected networks, hub-and-spoke net- works; network efficiency JEL Classifi cation Numbers: L13; L2; L93
    Keywords: Línies aèries, Aeroports -- Direcció i administració, Oligopolis, Empreses -- Direcció i administració, Aviació comercial, 338 - Situació econòmica. Política econòmica. Gestió, control i planificació de l'economia. Producció. Serveis. Turisme. Preus,
    Date: 2012
  2. By: Dogan Gursoy (School of Hospitality Business Management, Washington State University); Anna Maria Parroco (Department of Economics, Business and Finance, University of Palermo); Raffaele Scuderi (Free University of Bolzanoâ€Bozen, School of Economics and Management.)
    Abstract: The purpose of this study is to examine the development of Italian tourist areas (circoscrizioni turistiche) through a cluster analysis of short time series. The technique is an adaptation of the functional data analysis approach developed by Abraham et al (2003), which combines spline interpolation with k-means clustering. The findings indicate the presence of two patterns (increasing and stable) averagely characterizing groups of territories. Moreover, tests of spatial contiguity suggest the presence of ‘space–time clusters’; that is, areas in the same ‘time cluster’ are also spatially contiguous. These findings appear to be more robust in particular for those series characterized by an increasing trend.
    Keywords: cluster analysis; short time series; spline interpolation; K-means; join count test; Italian tourist areas
    JEL: L83 C14 C21 C22 C38
    Date: 2013–06

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