Measurement And Promotion Of High-quality Development Of Tourism

With the transformation and upgrading of national economic development,the strategic positioning of "low growth rate" and "high quality" in the stage of high-quality development is constantly in-depth,and the "supply side reform" of tourism industry under the new normal development of China’s economy is more urgent,which requires that the long-term development should pay more attention to the perspective of total scale,and combine the new perspective to the correlation between tourism enterprises and regions Coordination.Efficiency evaluation is a kind of operation means that can improve the management ability and production efficiency of enterprises.On the basis of efficiency,this paper analyzes the time and space characteristics of the efficiency of China’s tourism industry,and focuses on the development trend and road of tourism industry,which is conducive to the transformation of tourism industry from factor and investment driven to innovation and technology driven.Based on the panel data from2002 to 2017,this study combines the Three-stage DEA model,super efficiency SBM model,Malmquist Luenberger index,Tobit regression and other methods to analyze the tourism industry,industry efficiency change and the impact of efficiency related core factors in 31 provinces,and at the same time,it studies the mechanism of driving efficiency change characteristics.The results of the final research can provide quantitative basis for the judgment of the insufficient or excess investment resources of the tourism industry in each region.Through the demonstration of the changes of the tourism industry in each region,it can help each region to form the most optimized improvement path to improve the efficiency of the tourism industry,and also provide specific means and basis for the scientific investment of enterprises to break the tourism industry Possible unscientific problems in development.First of all,this paper is divided into eight chapters,respectively from the industry as a whole,industry internal,industry external system to discuss the combination of macro and micro perspective.First of all,super efficiency SBM model is used to calculate the efficiency of tourism industry in 1 region and the efficiency of four major industries.In this model,Tobit model is used to identify and analyze the factors affecting the efficiency of China’s tourism industry.Thirdly,σ,conditional β and absolute β convergence tests are used to explore the regional change trend of China’s tourism industry efficiency.Finally,considering From the perspective of carbonemission,Malmquist-Luenberger index is used to analyze the dynamic changes of China’s tourism industry efficiency.Among them,the first and second chapters are based on the relevant literature and theoretical analysis on the efficiency of the tourism industry at home and abroad.They understand that there are still a series of deficiencies in the current research materials,specifically related to: there is no long-term exploration on the changes of the efficiency of the tourism industry in China under the demand of high-quality development in the new era;there is no long-term exploration on the development of intelligent information technology And the main factors of the efficiency of tourism industry under the influence of the economic development of green environmental protection are explored;the current trend of the efficiency of tourism industry is not explored.In view of the above deficiencies,this paper takes the empirical analysis of tourism industry efficiency in 31 provinces as the core content,and constructs a writing framework to provide theoretical basis for the high-quality development of tourism industry efficiency in China.Secondly,the third chapter empirical analysis,through the comprehensive comparison of Three-stage DEA and super efficiency SBM model to calculate the tourism efficiency of 31 provinces in China,it is found that the differences in tourism technical efficiency of each province in China are very obvious,and the development of national tourism efficiency is unbalanced.From the perspective of regional differences,the efficiency level of tourism industry in each province is greatly different.The development potential of areas with low tourism efficiency,such as Tibet,Gansu,Inner Mongolia and so on,is still huge,and the investment of informatization elements in tourism industry in these areas is relatively imperfect.Therefore,properly strengthening the informatization construction may effectively improve the efficiency level of tourism industry in these provinces.As for the regions with high efficiency and high level of tourism industry efficiency,such as Beijing,Shanghai,Guangzhou,Shenzhen,Sichuan Chongqing,Hunan and other regions,the investment of informatization in the growth of tourism industry is relatively saturated,so the contribution of informatization to the efficiency of tourism industry in these provinces and cities is relatively low.Thirdly,the fourth chapter analyzes the factors that affect the efficiency of tourism industry.Through literature review,this paper selects the factors that affect theefficiency of China’s tourism industry,including the level of regional economic development,the level of tourism resources,the level of transportation convenience and information development,the level of local residents’ education and the level of regional opening up.Because the efficiency of tourism industry is affected by different factors,there are differences.Through the analysis of the factors that affect the efficiency of tourism industry,we can see that the efficiency of tourism industry is not obviously affected by the degree of opening to the outside world and the level of residents’ culture,but it is obviously affected by the other four variables.Among the four variables,except for the degree of traffic convenience,there is no significant negative correlation,the other three show significant positive correlation.After that,the fifth chapter studies the regional differences of tourism efficiency,and analyzes the evolution trend of tourism efficiency in four regions.The results show that the efficiency of tourism industry has convergence in the East and west of China,and the central and northeast regions have relatively stable convergence,not significant,and the efficiency is decentralized.Further tests show that the tourism efficiency in other areas of China is absolute except for the northeast,which shows that the growth of tourism efficiency in the East and West is converging,and the internal differences are also decreasing.However,there is absolute or conditional β convergence in Northeast and central China,which is greatly influenced by external factors.Comparing the two control variables,we can see that compared with the estimated coefficient of economic development level(EDL),The estimated coefficients of tourism resource richness(REL)in the four regions are larger.Then,the sixth chapter further deepens the efficiency of the whole tourismindustry.Specifically,scenic spots,travel agencies,transportation and hotels are the four core industries of the tourism industry.The decomposition characteristics of the tourism efficiency of the four industries are complex,and the calculation results of the tourism efficiency of the four core industries are not significantly related.From the perspective of comprehensive efficiency,the actual output of the national scenic spot industry The proportion of ideal output is the lowest,and the impact of overall tourism on it is obvious.The year of comprehensive efficiency is relatively volatile;the actual output of the hotel industry is the best,and the average value of tourism efficiency is relatively high compared with other industries,with a certain stability;the efficiency of thetourism agency is in the middle position,and the tourism traffic efficiency presents,first reduces,then increases,and tends to be stable Status of.Then,in the seventh chapter,considering that we can not only measure the tourism efficiency under the "good output",we should combine the tourism industry efficiency under the condition of "bad output",that is,carbon emission,so we use the super efficiency SBM model to investigate the tourism ecological efficiency.The results of empirical analysis show that Tianjin,Sichuan,Chongqing and Yunnan Guizhou provinces show relatively higher overall efficiency compared with the results without carbon emissions.In addition,in 2002-2009,the overall efficiency of the central provinces increased more than that without considering carbon emissions,but the efficiency decreased in 2010-2017.On the contrary,the comprehensive efficiency of tourism industry in western regions,such as Qinghai,Tibet and Ningxia,shows a trend of growth in 2010-2017 compared with that without considering carbon emissions.From the perspective of TFP,there are obvious efficiency differences between TFP of tourism industry considering carbon emission and that without considering.Therefore,in the process of applying the literature conclusions that are not included in the analysis framework,such as guiding relevant practices or exercising decision-making,we should be careful to avoid the loss caused by data analysis errors.Finally,the eighth chapter is the conclusion and policy recommendations.It discusses the economic conclusion of the data by combing the theoretical research,and summarizes the policy recommendations.Make clear the shortcomings of the paper and further look forward to the future need for further in-depth research.