Research on Path Configuration and Mechanism of Digital Economy-Driven Resilience Enhancement in Tourism Industry
Year: 2025
Type: article
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.
Source: Sustainability
DOI: 10.3390/su17073172
Authors: Jielong Huang, Chen Chen, Rabnawaz Khan, Qifu Lai
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $2,896
Awards: G3827116140, G4266506634, G6519210302
OpenAlex ID: W4409117812
