Against the backdrop of globalization and informatization, digital transformation is not only crucial for cultural and tourism enterprises to enhance service quality and competitiveness but also an inevitable path to achieving high-quality development. Leveraging the theory of complex network evolutionary games, this study constructed a diffusion model for the digital transformation strategies of cultural and tourism enterprises. It delved into the impact of government subsidies on the digital transformation behavior of these enterprises across different regional economic development levels. The findings underscore the significant role of government subsidies in fostering digital transformation among cultural and tourism enterprises. These subsidies expedited decision-making processes and widened the economic disparity between transformed and non-transformed enterprises. Furthermore, the study revealed that the prosperity of the regional economy shaped the decision-making landscape for cultural and tourism enterprises, with those situated in economically developed regions exhibiting a greater propensity to embrace digital transformation. However, as the regional economy attains a certain threshold, the stimulatory effect of government subsidies may diminish, potentially slowing down the pace of digital transformation. This research offers insights for governments to formulate targeted subsidy policies, while also providing theoretical underpinnings and practical guidance for cultural and tourism enterprises to capitalize on the opportunities presented by digital transformation and attain high-quality development. By bridging the gap between policy formulation and corporate strategy, this study contributes to the advancement of the cultural and tourism industry in the digital age.

The digital economy has become the first driving force for the innovation-driven development of the cultural and tourism industry. Based on data from 41 cities in the Yangtze River Delta from 2011 to 2021, this study found that the digital economy can promote high-quality synergistic development of the cultural and tourism industry, the conclusion that remains valid after robustness tests. The digital economy has been a more significant driving factor within Jiangsu and Zhejiang provinces, between large cities and between large and small and medium-sized cities, and between the core areas and between core and non-core areas. There is no significant correlation between the national smart tourism pilot cities and non-pilot cities in terms of high-quality synergistic development of the digital economy and the cultural and tourism industry. Mechanism tests showed that the digital economy can promote high-quality synergistic development of the cultural and tourism industry through channels such as promoting cultural and tourism product innovation and enhancing market potential. Further research found that the development of the digital economy in the Shanghai metropolitan area has narrowed the gap in the development of the cultural and tourism industry in various cities, while the existence of the "digital divide" in non-metropolitan areas has exacerbated the imbalance in the cultural and tourism industry. The conclusions have important implications for various types of subjects to cultivate the digital economy as a new force for the development of the cultural and tourism industry, and thus optimize the spatial pattern of high-quality synergistic development of the cultural and tourism industry enabled by the digital economy.

The digital economy is an important driver of the development of the tourism industry. In order to analyze the multidimensional transmission mechanism and spatial spillover effect of the digital economy on the development of the tourism industry, this study used the panel data of 30 provinces (data of Xizang, Hong Kong, Macao and Taiwan are temporarily unavailable) in China's mainland from 2012 to 2019, and the panel benchmark regression model, the mediation effect model, and the spatial econometric model to conduct an empirical analysis. The results show that: 1) The digital economy played a significant role in promoting the development of the tourism industry. 2) Consumer demand, technological innovation, and institutional change were the important pathways of the digital economy affecting the development of the tourism industry. Among these three factors, consumer demand and technological innovation had a partial mediation effect, and institutional change had a masking effect. 3) Under the condition of a certain spatial weight, the digital economy had a spatial spillover effect on the development of the tourism industry, and the digital economy had a siphon effect on the development of the tourism industry in the adjacent areas of informatization, but had no obvious spatial spillover effect on the geographically adjacent areas. This paper can provide theoretical references and practical guidance for further deepening the integration of digital economy and tourism industry, and promoting high-quality development of the tourism industry.

Digital empowerment for the deep integration of rural culture and tourism is an important initiative for the upgrading of rural industries and the comprehensive revitalization of the rural areas in the context of the digital economy. Taking Wusi Village in Zhejiang Province as an example, this study applied the actor network theory to explore the process and mechanism of the deep integration of rural culture and tourism based on digital empowerment. The results show that: 1) The deep integration of rural culture and tourism based on digital empowerment in Wusi Village is a dynamic process in which multiple subjects participate and play with each other in three stages: initial exploration, rapid development, and deep integration. In the process of the deep integration of rural culture and tourism based on digital empowerment in Wusi Village, the village committee continues to play a key role, the role of market players such as cultural and tourism enterprise is gradually increasing, and the degree of association of rural residents with the network of actors is gradually deepening. 2) The deep integration of rural culture and tourism based on digital empowerment in Wusi Village is driven by a dynamic circular mechanism consisting of the rural core system and the peripheral system as the integration basis, digital technology and digital platform as the integration support, governmental, societal, and local forces formed by the interaction of multiple actors as the integration actor, and the deep integration of the rural cultural and tourism resources, products, industries, factors, markets, and values as the integration content. 3) The high-level cyclic development of the deep integration of rural culture and tourism based on digital empowerment is the result of the release of strong effects of both the mechanisms of action and reaction of the integration support and integration actor, and that of the integration actor and integration content. This study provides a theoretical basis and empirical experience for the high-quality development of rural digital cultural tourism, the upgrading of rural industries, and comprehensive rural revitalization.

The digital economy is an important engine that can guide the rapid optimal allocation and regeneration of resources and achieve high-quality development of the tourism economy. Studying the impact of the digital economy on tourism innovation efficiency from the perspective of "local-neighboring area" spatial effect has important theoretical and practical significance for the high-quality development of the tourism industry. Taking the Yangtze River Delta as the research object, this study constructed a theoretical framework for the impact of the digital economy on tourism innovation efficiency. Based on the measurement of the development level of the digital economy and tourism innovation efficiency, this study explored the dynamic response relationships between the two and the spatial effects of the impact of the digital economy on tourism innovation efficiency. The findings are as follows: 1) Temporally, the mean value of tourism innovation efficiency in the Yangtze River Delta region showed a U-shaped pattern of first decreasing and then increasing. The overall level of efficiency was relatively low, and the region with high values kept growing over time. The tourism innovation efficiency of Shanghai and Zhejiang Province was higher than the average value of the Yangtze River Delta region. The gap between the tourism innovation efficiency of Jiangsu Province and the average value of the Yangtze River Delta region was narrowing, and it exceeded the average value of the Yangtze River Delta region in 2018, while the tourism innovation efficiency of Anhui Province had always been lower than the average values of the Yangtze River Delta region. 2) Spatially, tourism innovation efficiency generally presented a trend of high in the east and low in the west, and high in the south and low in the north. The high-value areas were mainly distributed in the economically developed areas or the areas with high abundance of tourism resources, which had apparent characteristics of economic and resource orientation. The spatial agglomeration characteristics of tourism innovation efficiency were apparent, and the "high-high" and "low-low" types dominated the agglomeration modes. 3) The digital economy was the Granger cause of tourism innovation efficiency, and the response of tourism innovation efficiency to the impact of the digital economy presented the characteristics of cyclical fluctuations and time lag. The digital economy had a significant positive direct effect on local tourism innovation efficiency, but the influence on tourism innovation of neighboring cities is stage-specific. Currently, the trickle-down effect of digital factor resources has a positive effect on the tourism innovation of neighboring cities.

In the era of the digital economy, digital technologies provide an opportunity for improving the quality and efficiency and optimizing the momentum of the tourism industry. This study used the provincial panel data from China's mainland between 2011-2020 to examine the promotional, spatial spillover, and non-linear effects of the digital economy on the green development efficiency of the tourism industry. The results show that: 1) The spatial heterogeneity of China's digital economy comprehensive development level and tourism industry green development efficiency was prominent, and the "digital divide" was significant. 2) The digital economy had a significant positive impact on the green development efficiency of the tourism industry, and the spatial spillover effect was more significant than the direct effect, confirming that there was no clear manifestation of the "Solow paradox" in the tourism industry and the external diffusion characteristics of the digital economy were fully demonstrated. 3) The digital economy had a non-linear effect on the green development efficiency of the tourism industry. The digital economy and technological innovation showed a single threshold effect, and industrial structure optimization had a double threshold effect, showing a "leaped" change trajectory. 4) The heterogeneity test results confirm that the positive impact of the digital economy on the green development efficiency of the tourism industry in the eastern-central and eastern-western regions was more prominent, and the leading advantages was more obvious in the eastern region. The positive spatial spillover effect on the national digital economy comprehensive experimental provinces was greater than that on the non-experimental provinces, confirming that policy-driven initiatives help to amplify the effects of the digital economy. The conclusions of this study provide some references for narrowing the digital divide, using digital technology to improve green development efficiency, and promoting the transition of tourism development factors to high efficiency.

The digital economy enables the intelligent transformation of tourism, and has become a new focus for the stable and sustainable development of China's tourism economy. On the basis of clarifying the spatiotemporal mechanism of impact of the digital economy on tourism economic resilience, this study used the panel data from 211 excellent tourism cities in China from 2011 to 2020 and the mediation effect model and panel threshold spatial Durbin model to test the mechanism and spatial spillover effect of the digital economy impact on tourism economic resilience. The results show that: 1) Spatially, the development of the digital economy during the research period consistently showed a distribution trend of high in the east and low in the west, and exhibited a clustered patchy distribution pattern within regions; tourism economic resilience was relatively dispersed during the research period, and the spatial differences between the eastern, central, western, and northeastern regions showed a trend of convergence. 2) The digital economy had a significant positive impact on tourism economic resilience. For every 1 unit increase in the level of digital economy development, tourism economic resilience increased by 0.2748, which has passed the robustness test. 3) In terms of the mechanism of impact of the digital economy on tourism economic resilience, the digital economy promoted the improvement of tourism economic resilience by increasing the level of tourism economic growth in the dimension of resistance ability, improving the technology carrier in the dimension of recovery capacity, and improving human capital in the dimension of reorganization ability. That is, tourism economic growth, technology carrier, and human capital are the main paths through which the digital economy has a significant positive impact on tourism economic resilience. 4) The development of the digital economy has empowered the local tourism economy to enhance its resilience, but it has a siphon effect on tourism economic resilience of neighboring cities. The results of this study enrich the research on the antecedent factors affecting tourism economic resilience, and provide a reference for decision making based on the digital economy to empower high-quality development of the tourism economy.

Promoting tourism consumption is the key to boosting consumption, fostering complete domestic demand, and building a new development paradigm based on a large domestic circulation. The paper provides a theoretical analysis of the mechanisms and effects of digital financial inclusion in promoting household travel consumption, and empirical tests using panel fixed-effects models using China Family Panel Studies (CFPS) data and Peking University's Digital Financial Inclusion Index.The study finds that: 1) Digital financial inclusion has a significant positive contribution to household travel consumption in China, and this finding still holds after a series of robustness tests. 2) Mechanism tests show that the alleviation of liquidity constraints, the enhancement of payment convenience, and the reduction of uncertainty are important channels through which digital financial inclusion promotes household travel consumption. 3) Heterogeneity analysis of demographic characteristics shows that the younger and more educated the head of household under the age of 60 is, the more pronounced is the contribution of digital financial inclusion to their household travel consumption. 4) The analysis of geographic regional heterogeneity shows that tourism consumption in central and western regions and rural households is significantly promoted by the effect of digital financial inclusion, while tourism consumption in eastern regions and urban households is not significantly affected by digital financial inclusion. The findings of this paper provide an important policy reference for the application of digital financial inclusion to unleash the potential of tourism consumption.

Narrowing the regional cultural and tourism consumption gaps (CTCG) is a proper way to realize common prosperity. With the development of digital economy, residents' digital skills gradually become an important factor that affects their cultural and tourism consumption. Studying how residents' digital skills affect the regional CTCG has important theoretical and practical values for promoting common prosperity. This study used the China Family Panel Study (CFPS) database to construct digital skill and digital skill divide indices of residents in various districts and counties across China's mainland, and then explored the mechanisms of the impact of residents' digital skills and their divide on the regional CTCG. The study found that: 1) Residents' digital skills effectively narrowed the regional CTCG, while the digital skill divide exacerbated the difference, and these conclusions are still valid after the robustness test and endogeneity treatment. 2) With regard to the mechanism of influence, residents' digital skills reduced the CTCG by increasing regional employment adequacy and income levels, while the digital skill divide exacerbated the gaps by decreasing these factors. 3) With regard to the differences in the type of digital skills, Internet-related digital skills, especially in learning, working, and socializing, significantly reduced the regional CTCG; while all types of digital skill divides widened the gap. The impact of non-Internet digital skills and their divides on the regional CTCG is not significant. It is worth noting that the growth of different types of digital skills all contributed to narrowing the digital skill divide. 4) As far as regional differences are concerned, the impact of residents' digital skills and their divides on regional CTCG is more significant in the western and northeast regions. This study not only enriches the research on residents' consumption inequality, but also provides important insights and grounds for narrowing the regional CTCG in the context of the digital economy.

The flow of ecotourists from urban to suburban areas reflects urban residents' geographical preferences, demands, and selection behaviors regarding ecotourism in suburban settings to a certain extent. Scientifically understanding the network structural characteristics of this flow is crucial for optimizing the allocation of ecotourism resources, developing heterogeneous linkages, and facilitating networked development pattern in the suburban areas. This research took Beijing as a case study area and used mobile phone data to track the ecotourism footprints of residents from the urban center to suburban areas. Drawing on the social network theory, we established an evaluation indicator system for the ecotourist flow network in the Beijing suburbs and integrated it with spatial analysis to investigate the spatial distribution characteristics of core-periphery, key nodes, and cohesive subgroups, as well as their aggregation-linkage patterns. The research findings indicated that: 1) The ecotourist flow network in the suburbs of Beijing exhibited a distinct hierarchical structure. Core nodes (78) demonstrated a spatial differentiation pattern characterized by "denser flows in the inner-suburbs and sparser flows in the outer-suburbs, and denser flows in the west and sparser flows in the east", forming a "two-eight dependence" linkage mode characterized by localized agglomeration and weak diffusion towards the edge nodes (95). 2) The key nodes (34) had significant advantages in degree, closeness, and betweenness centrality, with strong ecotourist flow connections among them and frequent bidirectional interactions, and forming aggregation-linkage patterns such as "loop-belt", "point-axis", "horizontal integration", and "vertical integration". Collectively, these patterns constituted a dynamic cyclic system radiating throughout the suburban areas of Beijing. 3) The cohesive subgroups (4), guided by the principle of geographic proximity, exhibited linkage patterns of "multi-core agglomeration and vertical diffusion", "single-core agglomeration and layered diffusion", "dual-core agglomeration and horizontal diffusion", and "chain-like agglomeration and clustered diffusion". These patterns incorporated various natural elements such as cropland, forest, grassland, and water. Based on these findings, we put forward recommendations to explore the integrated development path that leverage the complementary advantages of core and neighboring peripheral towns and townships, enhance cooperation between key nodes, stimulate spillover effects to other nodes, and promote the formation of a networked supply pattern that seeks differentiation of nodes with similar resource endowments and full linkage between those with different resource endowments.