PLS-PM MODEL FOR SUSTAINABLE DEVELOPMENT OF ECOTOURISM: CASE STUDY OF ULYTAU NATURE PARK
DOI:
https://doi.org/10.2478/eoik-2025-0019Keywords:
ecotourism, Sustainable Development, PLS-SEM, PLS- PM, Ulytau Nature ParkAbstract
This article is devoted to a comprehensive study of the factors influ-
encing the development of ecotourism in the Ulytau Nature Park, Ka-
zakhstan. The authors use an integrated methodology that combines
quantitative (statistical analysis) and qualitative (Analytic Hierarchy
Process, survey of the local population) methods of analysis. The pur-
pose of the study is to develop a model that allows predicting the
development of ecotourism and justifying strategic decisions for its
sustainable development.
As a result of the survey, 8 key factors affecting the development of
ecotourism were identified: perceived environmental sustainabili-
ty, perceived social cost, perceived economic benefits, maximizing
community participation, long-term planning, community-centered
economy, sense of place, and support for tourism development. Both
subjective estimates (Analytic Hierarchy Process) and objective
statistical data were used to determine the weights of these factors.
Comparative analysis revealed discrepancies between subjective as-
sessments and objective indicators, especially in the perception of the
region’s image.
The main result of the study is the development of a qualitative mod-
el that uses logistic regression to assess the impact of factors on the
development of ecotourism. This model, which considers both sub-
jective and objective data, allows to simulate various scenarios and
predict the development of the industry. The results obtained make it
possible to identify priority areas for the development of ecotourism
in Ulytau and develop recommendations for the creation of a sustain-
able and socio-economically effective model for the development of
ecotourism both for Ulytau and for other regions with similar condi-
tions. The article contributes to the existing body of knowledge on
sustainable tourism development by offering a multidimensional da-
ta-driven approach that goes beyond theoretical discussions.
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