Abstract:

Based on the Baidu index of "astronomically expensive shrimp" public opinion from 289 cities, this paper analyzes the urban differences and their influencing factors of network attention to tourism public opinion. The results show that: (1) The network attention of tourism public opinion is generally non-normal distributions with high kurtosis and positive skewness, the absolute difference of network attention to tourism public opinion is large, and it gradually decreases from the eastern, central to western cities, while relative differences from large to small is followed by the western, eastern, central cities.It shows that the larger the city scale, the higher the network attention degree on tourism public opinion. (2) 289 Cities are classified into four categories by network attention degree of tourism public opinion, such as the highest attentive cites, the higher attentive cites, the medium attentive cites and low attentive cites. It shows a spatial cross-symbiotic distribution pattern, and the medium attentive cites have a largest ratio. The highest attentive cites are mainly in the east, and the low attentive cites are mainly in the west; The capital cities and municipalities are the absolute main part of the highest attentive cites. Beijing, Shanghai, Guangzhou are the first three places in the rank. (3) The variables of urban heterogeneity, such as the level of per person income, the population size, the degree of informatization, the city level and the scale of tourism industry, have a significant impact on network attention to tourism public opinion. The influence of spatial distance on network attention of tourism public opinion is differenced by regional heterogeneity. Tourism destination homogeneity has a positive impact on network attention to tourism public opinion.

Key words: Tourism public opinion, Network attention, Urban differences, Baidu index