Research On The Relationship Between Tourism Situation And Economic Development In Yunnan Province Based On Var Model

With the development of economic globalization and people's increasing material and cultural needs,tourism has become the main way for everyone to start leisure.Tourism is booming and has gradually become one of the hottest industries in the world.Yunnan Province is a tourism transportation hub on the southwestern border.The tourism industry in Yunnan Province has not only promoted local economic development,but social development has also undergone tremendous changes.However,although the tourism industry has developed extremely fast,there are still some shortcomings to be overcome,which is an important bottleneck restricting its economic growth.Vector autoregression(VAR)is a model based on the statistical properties of the data.The VAR model constructs the model by using each endogenous variable in the system as a function of the lag values of all endogenous variables in the system,thereby generalizing the univariate autoregressive model to a "vector" autoregressive model consisting of multiple time series variables.The VAR model is one of the most practical models for the analysis and prediction of multiple related economic indicators.Therefore,this article first draws on a lot of foreign and domestic data,based on the abovementioned content and according to relevant scientific conclusions,starting from the actual situation,analyzes the background and significance of the study.After that,the economic profits created by China's tourism industry,the number of tourists within a certain period of time,and the average amount of tourists' expenditures were formulated as weight parameters.Using the var model and econometric analysis methods,the economic growth of Yunnan Province,the development of inbound tourism,the development of domestic tourism,and their long-term equilibrium relationship were studied.Finally,some suggestions and suggestions are put forward for the tourism industry in Yunnan Province.