The Measurement and Promotion Strategy of Provincial Tourism Efficiency in China Based on Three-stage DEA and Malmquist Index

Abstract

This paper uses three-stage DEA (Data Envelopment Analysis) and Malmquist index model to measure and analyze the tourism economic efficiency of 31 provincial regions in China from 2014 to 2016. The results show that: after removing the interference of environment and random factors, the average comprehensive efficiency of tourism in China has increased by 24.5%, which indicates that the tourism efficiency of most provincial regions is underestimated; by analyzing the dynamic trend, it is found that the average increase of technical efficiency is 2.7%, the average increase of technical change is 12.3%, and the average increase of MI index is 15.4%, which indicates that the overall tourism efficiency of China is on the rise The main factor that restricts the efficiency of tourism industry in China is scale efficiency. Finally, the provincial regions are divided into several types, and suggestions are put forward to improve the efficiency of regional tourism from the aspects of improving the efficiency of tourism management and expanding the scale of tourism investment.