Research on Path Configuration and Mechanism of Digital Economy-Driven Resilience Enhancement in Tourism Industry

The deep integration of the digital economy and the tourism industry has reconstructed the ecological pattern of the industry, and the tourism industry urgently needs to explore ways to improve resilience in the post-epidemic era to cope with uncertainties and risks. Relying on the FIIF framework, this study uses the statistical data of 30 provinces in China to verify the path configuration of the digital economy on the resilience improvement of the tourism industry and the synergistic effect between various variables, aiming to reveal the multi-configuration effect of the digital economy, driving the resilience improvement of the tourism industry, analyzing the regional differentiated path selection mechanism, and providing a theoretical framework and practical guidance for the resilience improvement and digital transformation of the tourism industry. The results show that (1) the variables of “digital infrastructure” and “digital innovation expenditure” constitute the necessary conditions for the high-resilience level of the tourism industry, and “digital talent shortage” and “digital innovation investment” are the key factors for the formation of low-resilience configuration. (2) There are three configuration paths for high resilience, which are manifested in the two types of “digital infrastructure and digital innovation driven type” and “digital infrastructure and digital industry driven type”. The low-resilience configuration has three paths and has an asymmetric relationship with high-resilience configuration paths. (3) The tourism industry’s resilience configuration in the eastern and central–western regions shows significant differences.

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Publication Details

Journal
Sustainability
Published
2025-04-03
DOI
https://doi.org/10.3390/su17073172
Citations
1
Primary Topic
Regional resilience and development
Type
article
Field-Weighted Citation Impact
3.13

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article

Research on Path Configuration and Mechanism of Digital Economy-Driven Resilience Enhancement in Tourism Industry

Jie Huang, Rabnawaz Khan, Qifu Lai, Chen Chen
1 citations
Sustainability
Regional resilience and development
3.13
article

Research on Path Configuration and Mechanism of Digital Economy-Driven Resilience Enhancement in Tourism Industry

Jie Huang, Rabnawaz Khan, Qifu Lai, Chen Chen
article en
1 citations

Abstract

The deep integration of the digital economy and the tourism industry has reconstructed the ecological pattern of the industry, and the tourism industry urgently needs to explore ways to improve resilience in the post-epidemic era to cope with uncertainties and risks. Relying on the FIIF framework, this study uses the statistical data of 30 provinces in China to verify the path configuration of the digital economy on the resilience improvement of the tourism industry and the synergistic effect between various variables, aiming to reveal the multi-configuration effect of the digital economy, driving the resilience improvement of the tourism industry, analyzing the regional differentiated path selection mechanism, and providing a theoretical framework and practical guidance for the resilience improvement and digital transformation of the tourism industry. The results show that (1) the variables of “digital infrastructure” and “digital innovation expenditure” constitute the necessary conditions for the high-resilience level of the tourism industry, and “digital talent shortage” and “digital innovation investment” are the key factors for the formation of low-resilience configuration. (2) There are three configuration paths for high resilience, which are manifested in the two types of “digital infrastructure and digital innovation driven type” and “digital infrastructure and digital industry driven type”. The low-resilience configuration has three paths and has an asymmetric relationship with high-resilience configuration paths. (3) The tourism industry’s resilience configuration in the eastern and central–western regions shows significant differences.

SustainabilityVol. 17(7)
Beijing Forestry University (CN), Fujian Agriculture and Forestry University (CN), The University of Tokyo (JP), Fujian University of Technology (CN)
Ministry of Education of the People's Republic of China, China Scholarship Council
Openalex Percentile: Top 9%
Regional resilience and development
3.13
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