Abstract
To provide a policy reference for promoting the development of Macao's tourism industry and for giving full play to the role of tourism in promoting Macao's economic development, the gray correlation analysis method was used to quantitatively analyze the data of Macao's tourism industry from 2010 to 2022, and the correlation degree and variation law between Macao's tourism development and various influencing factors were revealed from an empirical perspective. The gray correlation rankings of the influencing factors of the Macao tourism industry are as follows: travel agency income, hotel reception, commercial flights and helicopter sorties, gambling income, number of inbound passengers, number of inbound overnight passengers, cross-border car traffic, hotel occupancy rate, number of hotels above three stars, number of college students, catering industry income, hotel industry income, passenger flights, and exhibition industry income. In this regard, to promote the diversified and moderate development of Macao's economy, it is necessary to promote the integrated development of “tourism +”, cultivate tourism professionals, cultivate high-quality tourism intermediary enterprises, and promote the healthy development of Macao's tourism industry economy.
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References
Chen, L., Luo, D., Liu, X., Qu, C.: Research on influencing factors and countermeasures of tourism development in Sanya based on gray correlation analysis. J. Wuhan Polytech. (01), 98–105 (2022)
Li, M., Gong, Z.: The risk spillover effect between macroeconomic and financial factors, energy prices, and the Macao tourism industry based on the spillover index and asymmetry coefficient. Resour. Dev. Market 39(04), 495–505 (2023)
Deng, J.: The gray control system. J. Huazhong Central China Univ. Sci. Tedimel. (3), 9–18 (1982)
Deng, Z., Lu, Y.: Empirical test of the relationship between tourism development and economic growth in Hubei Province. Stat. Decis. (17), 95–97 (2008)
Zhong, G., Geng, J., Ma, X.: The correlative study of tourism industry development and economic growth of Tibet. Econ. Geograph. (11), 166–170 (2012)
Xu, X., Wang, Y.: Empirical test of the dynamic relationship between the development of the tourism industry and economic growth in Yunnan Province statistics and decision 39(01), 126–130 (2023)
Zha, F.: The correlation between the tourism industry and economic growth based on empirical data from 1994 to 2009 Statistics and Decision (11), 115–117 (2011)
Wei, F., Huang, R., Shi, P.: Research on the coordinated development of regional tourism in Guangxi based on the analysis of gray correlation degree. Math. Pract. Theory (16), 103–114 (2020)
Tian, M., Zhou, F.: Study on tourism development and economic growth based on gray correlation analysis: take Shandong province as an example. J. Chongqing Univ. Technol. (Nat. Sci.) (02), 208–215 (2019)
Li, Y.: On Influencing factors and countermeasures of marine tourism in Beibu gulf based on gray correlation analysis. J. Southwest China Normal University (Natural Science Edition) 44(01), 56–61 (2019)
Liu, X., Wang, K., Luo, D., et al.: Studies on the quantification and time-sequence development of integration of industry and education level in higher vocational education based on the panel data of China’s provincial from 2016 to 2022. J. Infrastruct. Policy Dev. 8(6), 6292 (2024)
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This project was supported by the Education Department of Hainan Province, project number: Hnjg2023ZD-75.
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Luo, D., Liu, X. (2024). Quantitative Analysis of the Factors Influencing Macao's Tourism Industry: A Gray Correlation Approach. In: Xu, C., et al. Data Science. ICPCSEE 2024. Communications in Computer and Information Science, vol 2213. Springer, Singapore. https://doi.org/10.1007/978-981-97-8743-2_1
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DOI: https://doi.org/10.1007/978-981-97-8743-2_1
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