Year: 2024
Type: article
Abstract: This study analyses the intricate interplay between migration, displacement and the tourism industry, shedding light on how destinations worldwide adapt to the dynamic challenges posed by these phenomena. As global migration patterns shift and displacement becomes more frequent due to various factors, including conflict, climate change and socio-economic disparities, tourism destinations are at a critical juncture. Quantitative data collection involved surveys distributed to tourists and local businesses in various destinations monitored by the WTO. The study is based on a dataset collected from different tourism destinations globally, representing different geographical locations, cultural contexts and stages of economic development. The dataset includes both primary data obtained through interviews and surveys and secondary data drawn from existing literature, reports and official statistics on migration, displacement and tourism. Adaptation strategies used by destinations include community engagement initiatives, sustainable tourism development and the formulation of inclusive policies. In conclusion, this research contributes to a comprehensive understanding of how tourism destinations address the complex challenges of migration and displacement. By illustrating the interconnections between demographic changes, community dynamics and economic resilience, the study provides valuable insights for policymakers, destination managers and researchers seeking sustainable and adaptive solutions in the changing landscape of global tourism. This research explores the multiple dimensions of this issue, examining the objectives, methods, data and key findings of how tourism destinations adapt in the face of migration and displacement. The primary objective of this study is to understand the impact of migration and displacement on tourism destinations and to identify the adaptation strategies employed by these destinations. The research seeks to analyse the nuanced relationships between migration movements, local communities and the tourism industry to provide insights into how destinations can thrive amid dynamic demographic changes. Specific objectives include understanding the socio-cultural, economic and environmental implications of migration on tourism and assessing the effectiveness of adaptation measures implemented by destinations. A quantitative approach was used to achieve these objectives. Quantitative data collection involved surveys distributed to tourists and local businesses in various destinations monitored by the WTO. The study is based on a dataset collected from different tourism destinations globally, representing different geographical locations, cultural contexts and stages of economic development. The dataset includes both primary data obtained through interviews and surveys and secondary data drawn from existing literature, reports and official statistics on migration, displacement and tourism. Adaptation strategies used by destinations include community engagement initiatives, sustainable tourism development and the formulation of inclusive policies. Effective adaptation often involves collaboration between government agencies, local communities and the private sector to balance economic growth and preserve local identity. The study emphasises the importance of flexibility in tourism management, supporting adaptation strategies that anticipate and respond to the changing nature of migration and displacement. In conclusion, this research contributes to a comprehensive understanding of how tourism destinations address the complex challenges of migration and displacement. By illustrating the interconnections between demographic changes, community dynamics and economic resilience, the study provides valuable insights for policymakers, destination managers and researchers seeking sustainable and adaptive solutions in the changing landscape of global tourism.
Author: Della Sala, Valerio
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6912261237
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