Analysis of Tourist Systems Predictive Models Applied to Growing Sun and Beach Tourist Destination

Miguel Angel Ruiz Palacios, Cristiana Pereira Texeira de Oliveira, José Serrano González and Soledad Saénz Flores
Additional contact information
Miguel Angel Ruiz Palacios: Departament of Business, North Lima Campus, Universidad César Vallejo, Lima 15314, Peru
Cristiana Pereira Texeira de Oliveira: General Director and Rector, Universidad Europea de Canarias, 38300 Tenerife, Spain
José Serrano González: Departament of Social Sciences, Universidad Europea de Canarias, 38300 Tenerife, Spain
Soledad Saénz Flores: School of Administration in Tourism and Hospitality, North Lima Campus, Universidad César Vallejo, Lima 15314, Peru

Sustainability, 2021, vol. 13, issue 2, 1-24

Abstract: This study aims to present a new diagnosis model of Sun and beach destinations, we analyzed a set of explanatory theories about the tourism system, because current models do not reflect the real dynamics of an emerging tourist destination. We create a new predictive model so it served us to be used as a diagnostic method for the tourism system. Ancon district is a coastal town of Peru, it is the second-largest and oldest of Metropolitan Lima district. The study analyzed all tourist attractions and local resources including reserved zone Lomas de Ancón, with 10,962 hectares. It used a qualitative method and its design is grounded theory and phenomenological. The research covers the period from May 2018 to March 2019, where it was possible to appreciate the high tourist demand and wild flora and fauna of the Lomas de Ancón in its two seasons: winter season (2018) and summer 2019 (dry season). The study concludes that the new analysis model allows us identifying and understanding the dynamic and potential of sun and beach tourist destinations in the growth phase. The Ancón district has resources and attractions that would allow it to develop new tourist products and diversify the local tourist offer.

Keywords: tourist system model; tourist destination; tourist model; natural and cultural resources; diagnosis of the tourism system (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.mdpi.com/2071-1050/13/2/785/pdf (application/pdf)
https://www.mdpi.com/2071-1050/13/2/785/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:13:y:2021:i:2:p:785-:d:480634

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().