The research on development differences and influence factors of inbound tourism in the Six provinces of central China
Authors: 
Yingying Liu, Zhi LiAuthors Info & Claims
Yingying Liu, Zhi LiAuthors Info & ClaimsPages 226 - 231
Abstract
Explore development differences of inbound tourism in six provinces of central China and uncover the influence factors. Based on inbound tourism data in six provinces of central China during 2009-2018, apply one-way ANOVA and clustering analysis to estimate scale and tendency differences of inbound tourism in the six provinces, and use factor analysis to explore the influence factors that lead to the differences. The results show that: the development of inbound tourism in the six provinces is greatly different in both scale and tendency. The factors that influence the development of inbound tourism are respectively traffic location and local economy, tourism size, resources and service ability, foreign economy and natural environment.
References
[1]
Lim C. 2004, The major determinants of Korean outbound travel to Australia[J]. Mathematics & Computers in Simulation, 64 (3): 477--485.
[2]
Akira Soshiroda. 2005, Inbound tourism policies in Japan from 1859 to 2003[J].Annals of Tourism Research, 32(4):1100--1120.
[3]
Zhang J, Jensen C. 2007. Comparative advantage: Explaining tourism flow[J]. Annals of Tourism Research, 34(1): 223--243.
[4]
Connell J, Page S J, Bentley T. 2009, Towards sustainable tourism planning in New Zealand: Monitoring Local government planning under the Resource Management Act[J]. Tourism Management, 30 (6):867--877.
[5]
Faruk Balli, Hatice Ozer Balli, Kemal Cebeci. 2013, Impacts of exported Turkish soap operas and visa-free entry on inbound tourism to Turkey[J]. Tourism Management, 37(4):186--192.
[6]
Ren Han, Miao Changhong. 2007. Quantitative analysis of the temporal and spatial variation mechanism of China's inbound tourism[J]. Human Geography, (03): 56--59.
[7]
Guo Wei. 2007, Inbound Tourism: An Empirical Study Based on Gravity Model [J]. Tourism Tribune, 22(3): 30--34.
[8]
Huang Ailian. 2011, Analysis of influencing factors of China-Vietnam inbound tourism based on gravity model[J]. Commercial Research, 9:207--211.
[9]
Tang Chengcai, Song Changyao, Li Xinjian. 2014, Analysis on the difference of inbound tourism scale and influencing factors in Hebei Province [J]. Human Geography, 29(05): 155--160.
[10]
Lu Liwen, Deng Hongbing, Li Jiangmin. 2013, Research on the evolution of the temporal and spatial distribution pattern of inbound tourism and its influencing factors: Taking Hubei Province as an example [J]. Journal of Central China Normal University (Natural Science Edition), 47(06): 879--884.
[11]
Yao Yunxia, Guan Weihua, Li Zaijun. 2016, Analysis of the temporal and spatial evolution and influencing factors of inbound tourism flow in Jiangsu Province[J]. Tourism Science, 30(05): 52--62.
[12]
Shi Zhangyu, Zhou Baohua, Shen Jinghong. 2014, An Empirical Study on Influencing Factors of Inbound Tourism Flow in Anhui Province[J]. Tourism Forum, 7(01): 51--58.
[13]
Xu Shaoli, Xi Jianchao. 2007. Strategic objectives and model selection of tourism regional cooperation in the six provinces of central China[J]. Hubei Social Sciences, (06): 68--71.
[14]
Wang Cuiping, Sun Gennian, Guo Shuang. 2018, Estimation model of passenger flow in A-level scenic spots in Shanxi Province: ANOVA and regression modeling based on 4 factors[J]. Arid Land Resources and Environment, 32(04):203--208.
[15]
Huang Wenxia, Li Min. 2019, Analysis of the main factors affecting the development of tourist areas based on SPSS data analysis [J]. Software, 40(01):144--149.
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- The research on development differences and influence factors of inbound tourism in the Six provinces of central China
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Published In
April 2020
640 pages
ISBN:9781450376457
DOI:10.1145/3436286
- Conference Chairs:
- M. James C. Crabbe,
- Rita Yi Man Li,
- Rebecca Kechen Dong,
- Otilia Manta,
- Ubaldo Comite
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Association for Computing Machinery
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Published: 04 January 2021
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ISBDAI '20
ISBDAI '20: 2020 2nd International Conference on Big Data and Artificial Intelligence
April 28 - 30, 2020
Johannesburg, South Africa
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Overall Acceptance Rate 70 of 340 submissions, 21%
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