An approach to the understanding of sustainable tourism through a linear regression


Abstract:

The article starts with the question, how can sustainable tourism be measured if it is a very complex, transversal, interdisciplinary and multidisciplinary term? In addition to the fact that tourism is not a science and lacks an object of study, the frequent problem of researchers is to pigeonhole and delimit the tourism phenomenon within quantitative parameters, mainly due to the lack of data and the lack of their own models for measuring tourism. Therefore, the objective of the research is to approximate an explanation of the understanding of the elements of sustainable tourism quantitatively through a linear regression. The research has a quantitative, mathematical-statistical, non-experimental and documentary bibliographic approach. The result obtained is a model reflected in a linear regression that tries to gather all the aspects of sustainable tourism in a single formula F= β1(A1 + A2 + ... An) +β2 (SC1 + SC2 + ... SCn) +β3(P1 + P2 + ... Pn) + β4(E1 + E2 + ... En) + ε, where another formula emerges where other variables not taken into account in the first one are added TS = R c ∑ Fn + Modelsn + Systemsn + Constructsn + Indicatorsn + un, and also emphasizes its singular error that can be denoted when measuring sustainable tourism Er = Error-/TS=((F-T)/TS)) x 100%. The scientific novelty is expressed in the contribution to scientific knowledge of a model that approximates the understanding and measurement of sustainable tourism, in addition the regression model proposed will be, the more robust the more elements are considered within each construct of the elements of the independent variables. In relation to future work, there remains the …

Año de publicación:

2021

Keywords:

    Fuente:

    googlegoogle

    Tipo de documento:

    Other

    Estado:

    Acceso abierto

    Áreas de conocimiento:

    • Turismo
    • Estadísticas

    Áreas temáticas:

    • Producción
    • Economía de la tierra y la energía
    • Principios generales de matemáticas