Path Dependence and Social Network Analysis on Evolutionary Dynamics of Tourism in Coastal Rural Communities

César Daniel Aguilar-Becerra, Oscar Frausto-Martínez, Hernando Avilés-Pineda, Jair J. Pineda-Pineda, Jennifer Caroline Soares and Maximino Reyes Umaña
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César Daniel Aguilar-Becerra: Regional Development Sciences Center, Autonomous University of Guerrero, Privada de Laurel 13, Col. El Roble, C.P. 39640 Acapulco, Guerrero, Mexico
Oscar Frausto-Martínez: Campus Cozumel, University of Quintana Roo, Avenue, Andrés Quintana Roo S/N, between 110 south street, in front of Colonia San Gervasio, C.P. 077600 Cozumel, Quintana Roo, Mexico
Hernando Avilés-Pineda: Regional Development Sciences Center, Autonomous University of Guerrero, Privada de Laurel 13, Col. El Roble, C.P. 39640 Acapulco, Guerrero, Mexico
Jair J. Pineda-Pineda: Regional Development Sciences Center, Autonomous University of Guerrero, Privada de Laurel 13, Col. El Roble, C.P. 39640 Acapulco, Guerrero, Mexico
Jennifer Caroline Soares: Federal University of Sergipe, Department of Tourism, Center of Applied Social Sciences Sao Cristóvao, C.P 49100-00 Sergipe, Brazil
Maximino Reyes Umaña: Regional Development Sciences Center, Autonomous University of Guerrero, Privada de Laurel 13, Col. El Roble, C.P. 39640 Acapulco, Guerrero, Mexico

Sustainability, 2019, vol. 11, issue 18, 1-23

Abstract: The studies on the evolution of tourist destinations are not a new issue, however, most of them have been focused on consolidated destinations, whereas only a minimum has been done on tourism transformation in rural areas. The objective of this work is to diagnose the evolutionary process of tourism in Coastal Rural Communities (CRCs). To do this, we propose a model which combines two research approaches, Path Dependence and Social Network Analysis. The methodological approach is divided into three parts: design, application and validation, and it is based on collecting in situ and identifying key informants. In the first part, the stages of a Path Dependence for a CRC are conceptualized and bipartite graphs are constructed to show the relationships between: (1) the identified establishments built in a period of time and (2) positive and negative lock-ins with a greater degree of influence on the evolutionary process. On this basis, the resulting graphs are associated with the stages of the Path Dependence. In the second part, the model theoretically raised is applied as an empirical case at the CRC of Playa Ventura, Guerrero, in the Southern Pacific of Mexico. Finally, we validated the model based on the results obtained, which indicate that the model is suitable for the generation of knowledge about the evolutionary process of tourism in CRC’s, and therefore, it opens the possibility of being replicated in other communities with the same characteristics.

Keywords: tourist evolution; tourism in rural areas; S k graphics; k-core subgraphs; Playa Ventura Mexico (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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