STRUCTURE RESILIENCE OF TOURISM COOPERATION LINKAGE NETWORK OF COUNTRIES ALONG THE BELT AND ROAD INITIATIVE: COMPREHENSIVE EVALUATION AND MOTIVATION IDENTIFICATION
JI Ying-chao1,2, YIN Jie1,2
1. College of Tourism, Huaqiao University, Quanzhou 362021, China;
2. Fujian Provincial Center for Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era Research base of Huaqiao University, Quanzhou 362021, China
Abstract It is of great significance to scientifically explore the network structure resilience for enhancing the capacity of tourism cooperation of countries to cope with external challenges and recover from damage. On the basis of measuring tourism cooperation linkage of countries and constructing the evaluation system of network structure resilience, we revealed the evolution characteristics of the network structure resilience of tourism cooperation linkage of the BRI from different scales of "overall-local", diagnose the barrier factors, and verify the key factors by using spatial panel regression. This study found that the structure resilience of tourism cooperation linkage network showed a tendency to improve and significant regional characteristics. The structure resilience of China-ASEAN-East Asia, West Asia, and Central and Eastern Europe regional network were increasing, while the structure resilience of South Asia and Commonwealth of Independence States regional network were relatively stable. In addition, the structure resilience of multiple networks jointly affected the structure resilience of tourism cooperation linkage network. Among them, the difference network structure resilience of security, governance and economic could positively enhance the structure resilience of tourism cooperation linkage network, while the network structure resilience of consumption level difference could suppress the network structure resilience.
JI Ying-chao,YIN Jie. STRUCTURE RESILIENCE OF TOURISM COOPERATION LINKAGE NETWORK OF COUNTRIES ALONG THE BELT AND ROAD INITIATIVE: COMPREHENSIVE EVALUATION AND MOTIVATION IDENTIFICATION[J]. HUMAN GEOGRAPHY, 2023, 38(4): 176-185.
