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Analysis on the Distribution of Resident Tourists from 29 European Countries, by Age Groups, in 2016, using the Factor Analysis Method

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  • Jugănaru Ion DănuÈ›

    („Ovidius†University of Constanța)

Abstract

The study of tourism activities involves the use of databases that provide information about thesize, evolution and structure of this economic and social activity. The statistical indicators specificto the domestic and international tourist traffic comply with these requirements; however, byprocessing them by certain statistical methods, there are provided more information of a differentnature. In this context, our paper points out that, by applying the CFA method, in processing adatabase for the "number of tourists" indicator, we can enrich our knowledge of the particularitiesrelated to the participation of each country (out of the 29 analyzed) in each age group, in terms ofdomestic tourism. By analyzing the structure of each age group of tourists, we can identifysimilarities and differences between the analyzed countries regarding the domestic travel demand;moreover, this analysis can also play a useful role in guiding the development of new tourismproducts and services, satisfying the residents’ specific needs.

Suggested Citation

  • Jugănaru Ion DănuÈ›, 2018. "Analysis on the Distribution of Resident Tourists from 29 European Countries, by Age Groups, in 2016, using the Factor Analysis Method," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 309-314, July.
    • Handle: RePEc:ovi:oviste:v:xviii:y:2018:i:1:p:309-314
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    More about this item

    Keywords

    domestic trips; correspondence factor analysis; resident tourists; age;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • Z32 - Other Special Topics - - Tourism Economics - - - Tourism and Development

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