Journal article
The spatial spillovers of terrorist attacks on tourism receipts: The case of Southeast Asia
Tourism and hospitality research
02/12/2025
DOI: 10.1177/14673584251321127
Abstract
Tourism industry is often severely affected following terrorist attacks. This research seeks to evaluate the spatial spillover effects on tourism receipts and long-run resilience within Southeast Asia, considering both aggregate and partial regional impacts. We develop the spatial durbin model (SDM) and the dynamic spatial durbin model (DSDM) using panel data from 11 Southeast Asian countries. The findings indicate that terrorist attacks immediately and negatively influence tourism receipts in Southeast Asia through spatial spillovers. We also observe distinct spatial heterogeneities between peninsula and archipelago countries, especially regarding tourism resilience and directness of spatial spillovers. Indochina Peninsula shows no noticeable spillover effects, but Malay Archipelago exhibits a different pattern of spillovers. The long-run resilience of aggregate tourism sector is not significant, with countries on the peninsula primarily accountable for this trend. Our research provides new insights for regional stability and tourism resilience.
Details
- Title: Subtitle
- The spatial spillovers of terrorist attacks on tourism receipts: The case of Southeast Asia
- Creators
- Xingpeng Xu - Shanghai University of Finance and EconomicsQingfeng Zeng - Shanghai University of Finance and EconomicsYangyang Xia - Shanghai University of Finance and EconomicsNianguo Mu - University of Shanghai for Science and TechnologyWeiguo Fan - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Tourism and hospitality research
- DOI
- 10.1177/14673584251321127
- ISSN
- 1467-3584
- eISSN
- 1742-9692
- Publisher
- Sage
- Grant note
- Fundamental Research Funds for the Central Universities: 2023110139 Major Program of National Natural Science Foundation of China: 72394360, 72394364
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Fundamental Research Funds for the Central Universities: "High-Quality Development of Digital Economy: An Investigation of Characteristics and Driving Strategies" [Grant number: 2023110139]; the Major Program of National Natural Science Foundation of China [Grant number: 72394360, 72394364].
- Language
- English
- Electronic publication date
- 02/12/2025
- Academic Unit
- Business Analytics
- Record Identifier
- 9984792372802771
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