Abstract: Industry convergence has become a way of China’s tourism industry’s transformation and upgrading. However, whether this phenomenon continues to be stable in China’s tourism industry remains to be further studied. In this paper we collect a large number of unstructured data on tourism industry convergence and after data cleaning, carry out a co-occurrence analysis of keywords in news coverage and use the Pointwise Mutual Information Index (PMI) as an index of tourism industry convergence to analyze the Convergence of China’s tourism industry, with a focus on its trends and patterns. The results are as follows. Firstly, the convergence of tourism industry in China presents a growing trend as a whole. Secondly, the tourism industry and the service-oriented industry show superposition patterns (linear), while the tourism industry and the non-service industry show industrial restructuring patterns (non-linear). Thirdly, the convergence patterns of tourism industry are heterogeneous, in which “tourism+sports”, “ tourism+health” and“ tourism+ecology” industries have shown evolutionary convergence, while “tourism+rural”, “tourism +event” and “tourism+wedding” industries have shown stationary convergence. These findings show that the tourism economy is undergoing major changes and the fuzzy boundary of the industrial convergence mode gradually expands. In addition, this study provides a way to predict the future direction of China’s industrial convergence.

Key words: tourism industry convergence, co-occurrence analysis method, point mutual information index, unstructured data