The structural equivalence of tourism cooperative network in the Belt and Road Initiative Area

Bai, Jianyin; Yin, Chuancun; Yong, Long

doi:10.1016/j.envres.2021.111043

Cited by 15 publications

(8 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At the same time, the cities of the central region were more developed tourism economies of the cohesive type, the southern region contained more outward-looking cities with high external dependence, while the northern region had mostly the isolated type with little or no effective cooperation. Compared with previous studies that were mostly based on tourism economic linkages to construct tourism cooperation networks [42,43,54], weighted and undirected, and only explore the relationship characteristics [46][47][48], this study argues that tourism cooperation should also take into account the attribute characteristics of destinations themselves and identify the directional variability of cooperative linkages. Areas with better tourism resource endowment are more likely to attract tourists, which in turn will be tourist destinations to a greater extent in the cooperative relationship [52].…”

Section: Discussionmentioning

confidence: 86%

“…With the introduction of Social Network Analysis (SNA), this provided a new perspective for the study of tourism cooperation network, and quantitative spatial research to explore the characteristics of spatial network structure began to emerge. The mainstream research idea is to conduct threshold processing on the basic coefficient matrix, convert it into a binary matrix, and then measure network density, network type, node centrality, and cohesive subgroups with numerical values, to explore the node status and overall pattern of the cooperative network from both the overall and individual aspects [46][47][48]. It is an important contribution to the analysis of the tourism level of each node, the tourism development links between nodes, and the future direction of regional cooperation.…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Spatiotemporal Characteristics and Determinants of Tourism Cooperation Network in Beijing–Tianjin–Hebei Region

Pan

et al. 2023

Sustainability

View full text Add to dashboard Cite

The optimization of the cooperation network is a key link to accelerate the high-quality development of regional tourism. Taking the Beijing–Tianjin–Hebei region as an example, this paper measures the tourism cooperation intensity with the modified gravity model, on which the original, binary, and Top networks are generated to identify the spatiotemporal evolution characteristics from the multi-dimensional difference–association–agglomeration model, and provide insight into the determinants by the GeoDetector model. The results show that (1) the cooperation network reveals a diffusion trend with Beijing–Tianjin as the main axis chain, and southward expansion, and the overall differences tend to moderate at a slow pace, among which the north is the weak area. (2) The robustness of the cooperation network association structure is enhanced, showing that the outgoing equilibrium is improved, while the cohesion is strengthened and accessibility changes little. Furthermore, the cities show a core–edge distribution pattern in terms of power roles. (3) The cooperation network shows the phenomenon of hierarchical agglomeration gradually with the expansion of network scale, and eventually evolves into two camps: the Beijing–Tianjin cooperation circle and the Shijiazhuang–Xingtai cooperation circle. (4) Tourism cooperation belongs to the locational traffic constraint type, and making up for the shortcomings of rural development is another key to further enhancing regional tourism cooperation. The future optimization of regional tourism cooperation needs to seek multifactorial promotion paths.

show abstract

Section: Discussionmentioning

confidence: 86%

Section: Literature Reviewmentioning

confidence: 99%

Spatiotemporal Characteristics and Determinants of Tourism Cooperation Network in Beijing–Tianjin–Hebei Region

Pan

et al. 2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…It was found that tourism in Central Asia is considered to be both more distance-and price-elastic. Bai et al [48] constructed the Belt and Road International Tourism Cooperation Network (ITCN) based on the perspective of tourism economic cooperation and further found, using social network analysis, that Eastern Europe, North Asia Pacific and South Asia are at the core of the network, while the Middle East, the Americas and Africa are at the periphery of the network.…”

Section: Spatial Network Structure Of Tourism Economy In Tourist Dest...mentioning

confidence: 99%

The Spatial Structure and Influencing Factors of the Tourism Economic Network in the Yangtze River Delta Urban Agglomeration

Feng,

Pan,

2024

Tourism and Hospitality

View full text Add to dashboard Cite

The optimization of a tourism economic network is critical in the promotion of the high-quality development of a regional tourism economy. In order to explore the spatial network structure of the tourism economy of the Yangtze River Delta urban agglomeration and its influencing factors, this study used a modified gravity model and social network analysis methods for evaluation and analysis. The results show the following: (1) the spatial network of the tourism economy in the Yangtze River Delta urban agglomeration in 2016–2021 was characterized by significant non-equilibrium; however, that trend has weakened, and the tourism connections are now stronger in economically developed regions. (2) The density of the network structure was slightly strengthened. The structure of the tourism economy network shows an obvious core–periphery distribution pattern. The external radiation of the center city was enhanced, and the core area of the network expanded. (3) The concept of the “small world” is characterized by a significant evolution from five major associations to four major associations during the study period. (4) The quadratic assignment method (QAP) of regression analysis showed that tourism service reception capacity, tourism information flow, tourism resource endowments and transportation convenience make a significant contribution to the formation of the spatial network of inter-city tourism economic connections. The results of this study can provide a theoretical basis for the optimization of the tourism economic network of urban agglomerations and the scientific decision-making underpinning tourism economic cooperation.

show abstract

“…Under the promotion of this initiative, countries and regions along the "Belt and Road" will enjoy an orderly and free flow of economic factors, efficient allocation of resources, and deep market integration, effectively promoting coordinated and linked development between countries and bilateral exchanges of people, as well as promoting the development of tourism industry [5][6]. In terms of international tourism trips worldwide, the countries along the Belt and Road account for 44%, while domestic tourism in the countries along the Belt and Road accounts for 80% of the domestic tourism trips worldwide, and the Belt and Road tourism market has great potential [7]. Due to the impact of the new epidemic, China's inbound tourism has been greatly affected, but from the data before the epidemic, China's inbound tourism has developed rapidly [8][9].…”

Section: Introductionmentioning

confidence: 99%

A study on the advantageous degree of inbound tourism flow collection and distribution in domestic provinces and cities along the Belt and Road Initiative based on distributed fuzzy computing theory

Wang,

Liu

2023

Applied Mathematics and Nonlinear Sciences

View full text Add to dashboard Cite

This paper introduces the concept of dominance degree in ecology and constructs a model of the dominant degree of inbound tourism flow gathering and dispersal in Chinese provinces and cities along the Belt, and Road advocated based on the optimization of the entropy value method. In order to further analyze the model, the obtained tourism flow gathering and dispersal dominance degrees are first integrated into a fuzzy set of tourism flow gathering and dispersal dominance degrees. The natural sequence of fuzzy numbers is obtained by screening the fuzzy set, and the fuzzy indexes are obtained after the distribution fuzzy calculation, and finally, the evaluation model of tourism flow gathering and dispersal advantage degree is constructed based on the index matrix and the combination assignment method. After analysis, it is obtained that the inbound tourism distribution of Chinese provinces and cities along the route from 2005 to 2020, the fourth tier of provinces and cities increased, the proportion by 41.02%, the number of the third tier decreased, the proportion decreased to 29.33%, and the uneven distribution of the advantage of inbound tourism distribution was strengthened.

show abstract

The structural equivalence of tourism cooperative network in the Belt and Road Initiative Area

Cited by 15 publications

References 33 publications

Spatiotemporal Characteristics and Determinants of Tourism Cooperation Network in Beijing–Tianjin–Hebei Region

Spatiotemporal Characteristics and Determinants of Tourism Cooperation Network in Beijing–Tianjin–Hebei Region

The Spatial Structure and Influencing Factors of the Tourism Economic Network in the Yangtze River Delta Urban Agglomeration

A study on the advantageous degree of inbound tourism flow collection and distribution in domestic provinces and cities along the Belt and Road Initiative based on distributed fuzzy computing theory

Contact Info

Product

Resources

About