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Research on the Measurement and Influencing Factors of High-quality Integration Level of Cultural Tourism

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DOI: 10.23977/tmte.2023.060208 | Downloads: 23 | Views: 573

Author(s)

Wenwen Li 1

Affiliation(s)

1 Anhui University of Finance and Economics, Bengbu, 233030, China

Corresponding Author

Wenwen Li

ABSTRACT

The high-quality integration of cultural tourism is an inevitable requirement for the high-quality development of cultural industry and tourism industry. Based on the panel data of 16 prefecture-level cities in Anhui Province from 2011 to 2020, this paper uses the coupling coordination model to measure the high-quality integration level of cultural tourism in each city of Anhui Province, and compares and analyzes the temporal and spatial differences of the high-quality integration level of cultural tourism. The results show that from 2011 to 2020, the high-quality integration level of cultural tourism industry in Anhui Province is mostly in a state of mild imbalance and barely coordination, and there are very few cities with good coordination, so there is still much room for improvement. The results of constructing panel quantile model show that the explanatory variables have obvious heterogeneity on different levels. Specifically, residents' demand, human capital and technical level have greater influence on high-level integration areas than on low-level integration areas, while economic development and government support have greater influence on low-level integration areas. Based on the above conclusions, this paper puts forward the path to promote the high-quality integration and development of cultural tourism in Anhui Province.

KEYWORDS

Integration of literature and tourism; High quality development; Coupling coordination degree; Quantile regression

CITE THIS PAPER

Wenwen Li, Research on the Measurement and Influencing Factors of High-quality Integration Level of Cultural Tourism. Tourism Management and Technology Economy (2023) Vol. 6: 47-57. DOI: http://dx.doi.org/10.23977/tmte.2023.060208.

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