Regional Tourism Information Flow

Since the beginning of the new century,information technology has exerted a great influence on the spatial pattern of regional economy through "information flow".Mobile space will replace place space as a decisive force in dominating the form of regional spatial organization.At present,information technology is leading to changes in the whole tourism industry.The Internet has become the most comprehensive tourism information source and transit station.Potential tourists search for tourism information through the network platform,and tourism information can flow and transfer.The Internet has become a bridge and medium for the flow of tourism information between tourism destination and source,between tourism enterprises and tourists,between tourists and tourists.The emergence of mobile phones and other emerging media has further shortened the space-time distance of information,accelerating the flow and exchange of tourism information.The Internet plays an increasingly important role in tourism,affecting tourists' activities,behavior decisions and travel intentions.The guiding role of tourism information flow on passenger flow has been enhanced,and the importance of tourism information flow has been further enhanced.However,there are few studies on tourism information flow,and there are still many issue to be addressed,such as how does tourism information flow operate and flow among regions? How does tourism information flow come into being and what factors influence it? What role does tourism information flow play? At present,these questions are still difficult to answer in academic circles.Few scholars conduct systematic research on tourism information flow.Therefore,this study systematically analyzed and discussed the theoretical connotation,dynamic mechanism and effect of tourism information flow.This study carries out relevant research according to the research idea of "putting forward problems-theoretical discussion-empirical analysis-summarizing prospects".First,following the research paradigm from theoretical construction to empirical analysis,this paper makes theoretical analysis and discussion on regional tourism information flow,laying a theoretical foundation for empirical analysis.Second,the dynamic pattern and spatial network analysis of regional tourism information flow are carried out.Taking the Yangtze River Delta urban agglomeration as a case study,the flow and connection of tourism information among cities are measured by Baidu index,the agglomeration and diffusion pattern of tourism information flow is analyzed,and the structural characteristics and evolution of spatial network of tourism information flow are analyzed by social network method.Thirdly,this study analyses the influencing factors and dynamic mechanism of regional tourism information flow,constructs the push-pull-drag theoretical model,and uses QAP correlation analysis method and geographic detector analysis method to explore the influencing factors of the agglomeration and diffusion of tourism information flow.Fourth,this paper explores the impact and spillover effect of regional tourism information flow,constructs a spatial econometric model,and analyses the impact of tourism information flow on tourism economic development and its spatial spillover effect.Fifth,fsQCA method is used to analyze the causal combination allocation of each influencing factor.This paper discusses the causal combination allocation strategy,and put forwards effective policy recommendations and combination strategy.The main conclusions of this study are as follows:(1)Regional tourism information flow has obvious spatial and temporal differences and characteristics of distribution.In terms of time,the tourism information flow in the Yangtze River Delta increased rapidly from 2011 to 2017.In 2017,the tourism information flow in the Yangtze River Delta showed a bimodal change and April and August was the peak.Spatially,the spatial differentiation of tourism information flow in the Yangtze River Delta is obvious,mainly distributed in the eastern region.The outflow of tourism information presents obvious spatial autocorrelation,spatial agglomeration effect is obvious,and the inflow of tourism information presents random distribution.(2)Regional tourism information flow network has obvious structural characteristics and effects.From the overall network point of view,the tourism information flow in the Yangtze River Delta is relatively dense in the eastern and central areas,sparse in the southwest and Northern areas,and strong in the influence and radiation of the core subgroups.From the point of view of network nodes,the degree of centrality of the Yangtze River Delta node is significantly improved,the gathering and radiation ability of the network nodes is enhanced,and the proximity centrality of the nodes is rapidly increased,and the network accessibility is significantly improved.(3)The evolution of tourism information flow is mainly influenced by thrust,resistance and pull.From the perspective of time,vacation system has a significant impact on the agglomeration and diffusion of tourism information flow,but the impact of climate comfort is not obvious.From the spatial perspective,the level of economic development,population factors,transportation convenience,degree of informationization,tourism attraction,public service facilities,distance factors and tourism information flow are closely related.Among them,regional economic level and degree of informationization have a strong influence on spatial agglomeration of tourism information flow,which is the core factor.The impact intensity of each factor on spatial diffusion of tourism information flow is low.And the research finds that the influence factors of the thrust system of tourism information flow have the greatest impact intensity,which is at the core of the tourism information flow system,while the influence factors of the pull system have the least impact intensity.That is to say,the spatial diffusion of destination is dominant in the tourism information flow system,which reflects the imbalance between tourism demand and tourism supply in the process of tourism development.(4)Tourism information flow has obvious influence and spillover effect on tourism economic development.From the perspective of short-term spillover effect,tourism information flow has a positive spillover effect on the development of tourism economy.The direct and indirect effects of tourism information flow on tourism economic development are 0.123 and 1.001,which pass the significant test.This shows that if the tourism information flow increases by 1%,it will directly promote the tourism economic growth of the region by 0.123%.If the local tourism information flow increases by 1%,it will indirectly promote the tourism economic growth of the adjacent region by 1.001% through spatial interaction.That is to say,tourism information flow will not only promote the development of local tourism economy,but also promote the development of tourism economy in neighboring areas.From the long-term spillover effect,the direct spillover effect and indirect spillover effect of tourism information flow on tourism economic development are not significant,that is to say,the effect of tourism information flow on tourism economic development is short-term,not sustained and long-term,showing a short-term effect is significantly stronger than long-term effect.(5)The coupling of tourism information space and tourism economic space is affected by many factors.Each detection factor has certain influence on the coupling pattern,among which the tourism resource endowment has the strongest influence on the coupling coordination.Secondly,regional economic level,urbanization level,transportation convenience and informatization degree have strong influence on the coupling coordination,while the impact intensity of population size and tourism service level is general,and the industrial structure also has some influence on the coupling coordination degree,but there is no difference between them.The influence strength is low.Based on the analysis results,this study uses fsQCA analysis method to explore the causal combination allocation strategies among various factors,so as to provide policy recommendations and combination strategies for the optimization of spatial structure of tourism information flow,the exertion of economic utility and the coordinated development of tourism information space and tourism economic space.The main contributions of this study are as follows: 1.This paper fills the gaps of tourism information flow research,and explores the tourism information issue with "flow" as a breakthrough.Furhter,the spatial network,dynamic mechanism and spillover effect of regional tourism information flow are analyzed,and this study makes theoretical responses and supplements to the research deficiencies of tourism information flow,and promotes the related research of tourism information flow.(2)Discussing the "causes and consequences" of tourism information flow,confirming the "guiding role of tourism information flow" from the macro scale,and expanding the research framework and depth of tourism information flow.Based on push-pull theory,this paper analyses the influencing factors of agglomeration and diffusion of tourism information flow,and further explores the impact of tourism information flow on tourism economic development and spillover effect,and deepens the study of tourism information flow.(3)This study analyzes the tourism information flow from the perspective of social network and flow space,and jumps out the single perspective of tourism information flow research.Moreover,this study also combines the network space and geographical space of tourism information flow,and provides an excellent research perspective and direction for tourism information flow.(4)Combining geographic detector,spatial econometric model and fsQCA method,we can get the combination configuration of influencing factors which are difficult to capture by conventional multiple regression analysis.Further,this study identifys the multiple solutions,and solves the "equiterminal" problem in causal analysis,helping to put forward effective combination strategies.