Lei Peng
ABSTRACT
Taking hotels in 31 provinces and cities in China in 2019 as samples, this paper uses data envelopment analysis (DEA) to measure hotel operating efficiency. On this basis, Tobit regression is used to further test the influence of artificial intelligence on hotel operating efficiency. The research finds that: (1) from the perspective of efficiency evaluation, there is still a large room for improvement in the overall efficiency of hotel operation, and the reason for its low efficiency lies in the large loss in the efficiency of hotel operation scale; (2) From the perspective of the relationship between artificial intelligence and hotel operating efficiency, there is a significant U-shaped relationship between artificial intelligence and hotel operating overall efficiency, pure technical efficiency and scale efficiency, that is, with the improvement of artificial intelligence, hotel operating efficiency will decrease first and then increase.
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