Factores determinantes del flujo turístico en la Reserva de la Biosfera El Pinacate y Gran Desierto de Altar.

Protected natural areas are an effective tool for the conservation of many ecosystems. Some of these places have a tourist vocation, due to thei natural and cultural attractions. The objective of this article, is to explain the main determinants of the tourist flow of the El Pinacate and Gran Desierto de Altar Biosphere Reserve, during the period 2009-2021. Based on data from visitors to this site, as well as socioeconomic variables, a multiple linear regression model, was developed. The results show that the main determinants of the tourist flow are Tourist GDP, Health Risk (COVID), inflation and holiday periods. One of the main implications of this study is that it provides a support tool in the managment of tourism. In addition, the tourist flow for the following period can be estimated.

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Publication Details

Journal
Economía y Sociedad
Published
2025-06-27
DOI
https://doi.org/10.15359/eys.30-67.3
Primary Topic
Urbanism, Landscape, and Tourism Studies
Type
article
Field-Weighted Citation Impact
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article

Factores determinantes del flujo turístico en la Reserva de la Biosfera El Pinacate y Gran Desierto de Altar.

Edgar Omar Rueda Puente, Carlos Gabriel Borbón-Morales, León Alejandro Cáñez Cota
Economía y Sociedad
Urbanism, Landscape, and Tourism Studies
article

Factores determinantes del flujo turístico en la Reserva de la Biosfera El Pinacate y Gran Desierto de Altar.

Edgar Omar Rueda Puente, Carlos Gabriel Borbón-Morales, León Alejandro Cáñez Cota
article en

Abstract

Protected natural areas are an effective tool for the conservation of many ecosystems. Some of these places have a tourist vocation, due to thei natural and cultural attractions. The objective of this article, is to explain the main determinants of the tourist flow of the El Pinacate and Gran Desierto de Altar Biosphere Reserve, during the period 2009-2021. Based on data from visitors to this site, as well as socioeconomic variables, a multiple linear regression model, was developed. The results show that the main determinants of the tourist flow are Tourist GDP, Health Risk (COVID), inflation and holiday periods. One of the main implications of this study is that it provides a support tool in the managment of tourism. In addition, the tourist flow for the following period can be estimated.

Economía y SociedadVol. 30(67)
Openalex Percentile: Top 81%
Urbanism, Landscape, and Tourism Studies
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