Under the situation of the new normal of the national economy, the need for the transformation and upgrading of the tourism industry is more urgent, and it is necessary to jump out of the long-term focus on the total amount of scale and study and coordinate the relationship between tourism operators and regions from a new perspective. Efficiency evaluation is an important means and tool to improve the production efficiency and management level of enterprises. From the perspective of efficiency, the analysis of the temporal and spatial evolution characteristics of China's tourism industry can effectively examine the development path of China's tourism industry and promote the regional tourism industry from factor-driven and investment-driven to innovation-driven and technology-driven. This book uses the panel data from 2002 to 2013, takes "index construction-efficiency measurement-spatio-temporal comparison-driving mechanism" as the main research line, and comprehensively uses methods such as combinatorial empowerment, DEA model, ESDA, center of gravity, standard deviation ellipse, POOL panel data model to conduct in-depth analysis of the spatiotemporal evolution characteristics of tourism industry efficiency, industry efficiency and factor efficiency in 31 provinces in China, and study the driving mechanism of spatiotemporal evolution of tourism industry efficiency. The research results can provide quantitative data reference for the regional tourism industry to judge the insufficient investment of various resources or investment redundancy, reveal the changes in the relative status of the tourism industry between provinces, help each region better identify the best path to improve the efficiency of the tourism industry, provide means and basis for guiding the scientific investment of enterprises, and avoid blindness and ineffectiveness of tourism development. The main conclusions of this book are: First, this book sorts out the research on the efficiency of the tourism industry at home and abroad, and finds that although the research content is deepening, the spatial research on the efficiency of the tourism industry is still insufficient, and there is a lack of comparative research on the efficiency of the tourism industry, and the in-depth research on the internal efficiency of the tourism industry needs to be deepened. The book analyzes and defines the concepts of tourism industry efficiency, industry efficiency and factor efficiency, and expounds the supporting role of system theory, economic growth theory and spatial economics theory in the research of tourism industry efficiency. Second, this book measures the efficiency of tourism industry in 31 provinces in China over the past 12 years, and the results show that the efficiency of China's tourism industry shows fluctuations in time series, and with the development and growth of tourism industry scale, the efficiency growth effect of tourism industry is not obvious. From the perspective of efficiency after decomposition, the impact of scale efficiency on comprehensive efficiency is slightly stronger, because the scale efficiency value of many provinces is lower than the pure technical efficiency value, indicating that the reasonable input of factors and the rational layout of industrial structure have a great effect on improving the efficiency of China's tourism industry. From the perspective of spatial evolution, the scale efficiency is dominated by the "T" pattern, and the scale agglomeration efficiency in the east is lower than that in the central and western regions. The inter-provincial difference between pure technology efficiency and scale efficiency is greater, the spatial pattern changes significantly from year to year, and the eastern region has stronger technology application ability than the western region. Under the joint influence of the two, the spatial agglomeration of comprehensive efficiency is not strong, and there is no relationship between mutual influence and mutual constraint in the comprehensive efficiency value of neighboring provinces, and the spatial pattern evolves from "T" shape to "V" shaped pattern. Third, from the perspective of efficiency of the three major industries of scenic spots, hotels and travel agencies, the scenic spot industry is the least efficient, the most affected by the overall tourism environment, and the volatility is strong; The hotel industry is highly efficient and stable; The travel agency industry is in the middle. In addition, in terms of space, the scenic spot industry changed frequently before 2004 and did not show a certain regularity, and the spatial distribution evolved to the agglomeration trend from 2005 to 2007, and the two cores of the west and southeast gradually formed from 2009 to 2013. Before 2008, the spatial pattern of the hotel industry showed an inverted "several" pattern, after 2008, the advantages of the southeast coastal area were prominent, and the central and western regions declined, and the role of technological reform and innovation in improving the efficiency of the industry gradually appeared, forming the southeast core area; The travel agency industry is dominated by the "mountain" pattern, with better efficiency in the southeast and poor in the northwest, but in recent years, the differences between regions have narrowed. Fourth, from the perspective of the temporal and spatial evolution characteristics of the efficiency of the three major factors of physical capital, human capital and enterprise scale, the three major factors generally have excessive input. The inter-annual variation of the efficiency of the three major elements of the scenic spot industry is greater than that of the hotel and travel agency industry, and the stability is low; The hotel industry has the highest physical capital efficiency, and the scale efficiency of enterprises is increasing year by year, but the efficiency of human capital is steadily decreasing. The efficiency of the three major factors of the travel agency industry has decreased steadily. From the perspective of spatial pattern, the differences within the four major regions of tourism factor efficiency in the east, central, west and northeast are much greater than the differences between regions, and in recent years, areas with high tourism factor efficiency have gathered to form the eastern core area represented by Beijing, Shanghai and Guangdong and the western core area represented by Tibet and Ningxia. Finally, this book selects seven aspects: location conditions, human support, market potential, tertiary industry scale, marketization degree, informatization level and tourism industry scale, and analyzes their impact on the efficiency of the tourism industry and the efficiency of the three major industries. It is found that in the micro field, the transformation of resource value, market demand and tourism mode has an important impact on the temporal and spatial changes of tourism factor efficiency. In the meso field, manpower support, marketization, informatization and the overall development level of the tourism industry have an important impact on the temporal and spatial changes of the efficiency of the tourism industry. In the macro field, location conditions, service industry development level and socio-economic level have a profound impact on the temporal and spatial evolution of tourism industry efficiency. Under the combined influence of these factors, the five driving forces of resource-driven, policy-driven, location-driven, market-driven and geo-environment drive guide the evolution of the spatial pattern of tourism industry efficiency. The main innovations and features of this book are: first, the tourism industry efficiency evaluation system is improved, and the tourism industry efficiency evaluation system is constructed. In previous studies, the evaluation of the efficiency of the tourism industry remained at a single level, and did not form an evaluation system for the efficiency of the tourism industry. This book systematically and deeply evaluates the efficiency of the tourism industry and constructs the efficiency evaluation system of the tourism industry. The system consists of three levels: macro, meso and micro. Macro efficiency refers to the overall efficiency of the tourism industry (industry agglomeration), expressed by the efficiency of the tourism industry; Meso efficiency refers to the efficiency of the collection of enterprises such as scenic spots, travel agencies, hotels, etc. that provide certain types of the same tourism products, expressed by the efficiency of the tourism industry; Micro-efficiency refers to the effect produced by various factors such as physical capital and human capital specifically invested in the tourism industry, and is expressed by the efficiency of tourism factors. Therefore, the efficiency evaluation system of the tourism industry is divided, and the research is three-dimensional and concrete. Secondly, the efficiency evaluation method of the tourism industry is improved, and the combination of combined weighting method and DEA model is adopted to improve the scientific nature of the measurement. In previous studies, the efficiency output indicators of the tourism industry were considered and designed from the total amount, and the level of unit output was not paid attention to. This book attempts for the first time to use the combined empowerment method and DEA method to solve the problem, the input indicators of tourism industry efficiency are measured from the two aspects of industrial development scale and industrial development capacity, and the output indicators are measured from the two aspects of total output capacity and per capita benefit, and the evaluation index system is obtained after sorting, and the low-level indicators are summarized and merged through the combined empowerment method to obtain more reasonable high-level comprehensive indicators, and then the DEA model is used for efficiency measurement to improve the rationality and scientificity of the results. Finally, the comparative study of the influence of various factors on the efficiency of the tourism industry is emphasized, a unified evaluation model is constructed, and an analysis framework for the driving mechanism of the spatiotemporal evolution of the efficiency of the tourism industry is established. In the past, the analysis of the influencing factors of tourism industry efficiency was based on a single level or a single industry, and there was a lack of simultaneous research on the efficiency of the three major industries, and a comparative study of the efficiency of the three major industries. This book constructs a unified evaluation model, compares and analyzes the influencing factors of tourism industry efficiency and the efficiency of travel agencies, scenic spots and hotels, synthesizes the influence intensity of each influencing factor in different industries, and establishes an analysis framework for the spatiotemporal evolution driving mechanism of tourism industry efficiency from the three perspectives of macro, meso and micro, so as to make the research on the efficiency driving mechanism of the tourism industry more detailed and in-depth, and enrich the relevant research content. This book is based on my doctoral dissertation. I would like to thank my mentor, Professor Mei Lin of the School of Geographical Sciences of Northeast Normal University, for his infinite care and careful guidance. I would like to thank Professor Chen Cai, Professor Liu Jisheng, Professor Wang Shijun, Professor Yang Qingshan, Professor Xiu Chunliang, Professor Yuan Jiadong, Professor Gu Guofeng, Associate Professor Fang Yan and other teachers for their help in my learning process. I have benefited a lot from their deep and profound academic skills. Thank you Chen Yan, Li Qiuyu, Huang Yue, Yu Hongyan, Wang Jiankang, Shen Qingxi, Guo Fuyou, Zhu Zhenhua, Chen Chen, Cheng Lin and other students for their help on the way to knowledge. I would also like to thank my colleagues at Ludong University Business School, especially Professor Cao Yanying, for their selfless help and precious opportunities since the day of my work. For the errors and biases in the book, I hope readers will not hesitate to correct them. The book also refers to and cites a large number of scholars' relevant research literature, and I would like to thank you for this.（AI翻译）