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

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.

Driving Factors of the Health and Wellness Tourism Industry: A Sharing Economy Perspective Evidence from KPK Pakistan

“…Scholars have conducted extensive research on the motivations of the development of the health tourism industry; these include external driving factors, including world political and economic integration [16][17][18], government support and promotion [19,20], economic and social effects [21,22], network communication technology and information technology revolution [23,24], faster transportation [25] (Rodriguez, 2001), healthy lifestyle of the new generation [26][27][28], population aging and lifestyle changes, the formation of residents' healthy consumption concepts, and tourism consumption demand [29][30][31][32]. Internal driving factors mainly include health tourism resources, such as medical technology and service projects [33], cost and benefit [34], medical equipment [35], and environmental infrastructure [36][37][38].…”

Changes in the Socio-Ecological System of a Protected Area in the Yucatan Peninsula: A Case Study on Land-Use, Vegetation Cover, and Household Management Strategies

“…However, as tourism became a prominent activity in the region [57], it extended to small communities advertising them as "environmental attractions". This is happening in several regions of Mexico [58,59], but also worldwide as globalized tourism has gained interest in rural communities [60,61]. As PL gained a reputation as a "monkey reserve" and more households engaged in a market economy, CH experienced the opposite trend with tourism agencies reducing their presence, prompting households to diversify their activities, including novel ones, for example charcoal production.…”

Development strategy of urban industrial diversification based on market potential and path dependence

“…Path dependence is regarded as the engine of regional industrial diversification (Boschma, Ron & Capone, 2016;Aguilar-Becerra et al, 2019;Luhas et al, 2019) where it presents an advanced way to explain the imbalanced development (Walker, 2000;Hidayati, Yamu, & Tan, 2019). Existing studies have demonstrated that the industries in the path have interaction due to upstream and downstream input and output relations, labour sharing, whole service, infrastructure externalities and knowledge spill overs together with the competition of land, capital and skilled labour (Martin & Sunley, 2006).…”