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Competing Networks, Spatial and Industrial Concentration in the US Airline Industry

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  • Aisling Reynolds-Feighan

Abstract

Abstract The paper uses Gini decomposition analysis to evaluate changes in the spatial distribution and industry shares of total US air traffic, as well as analysing the decomposition components for individual airlines and airports for the period 1990–2002. The paper develops explicit relationships between two of the main decomposition schemes used in the income inequality literature and shows the insights that such analysis may provide for evaluation and examination of air transport networks and traffic distributions. A multi-dimensional Gini and its decomposition are derived using an adjustment method derived from the relationship between the two Gini decomposition schemes.

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File URL: http://www.taylorandfrancisonline.com/doi/abs/10.1080/17421770701549779
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Bibliographic Info

Article provided by Taylor & Francis Journals in its journal Spatial Economic Analysis.

Volume (Year): 2 (2007)
Issue (Month): 3 ()
Pages: 237-257

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Handle: RePEc:taf:specan:v:2:y:2007:i:3:p:237-257

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Related research

Keywords: Airlines; Gini decomposition; spatial concentration; hub-and-spoke networks; I32; L11; l93;

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Cited by:
  1. Tom Van Ourti & Philip Clarke, 2008. "The Bias of the Gini Coefficient due to Grouping," Tinbergen Institute Discussion Papers 08-095/3, Tinbergen Institute.
  2. Tom Van Ourti & Philip Clarke, 2008. "The Bias of the Gini Coefficient due to Grouping," Tinbergen Institute Discussion Papers 08-095/3, Tinbergen Institute.
  3. Reynolds-Feighan, Aisling, 2010. "Characterisation of airline networks: A North American and European comparison," Journal of Air Transport Management, Elsevier, vol. 16(3), pages 109-120.
  4. T. Demuynck, 2009. "An (almost) unbiased estimator for the S-Gini index," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 09/569, Ghent University, Faculty of Economics and Business Administration.

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