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Influencing factors of tourism revenue in Guizhou province
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作者 ZHOU Cheng-xu 《Ecological Economy》 2022年第1期26-33,共8页
Tourism revenue plays an increasingly essential role in the national economic revenue of Guizhou province,so it is essential to analyze the factors that affect the tourism revenue of Guizhou province.Based on the econ... Tourism revenue plays an increasingly essential role in the national economic revenue of Guizhou province,so it is essential to analyze the factors that affect the tourism revenue of Guizhou province.Based on the econometric model,this paper collects the tourism-related data of Guizhou province from 1999 to 2018,and then selects three variables:the number of tourists,rail mileage,and the number of hotels to make assumptions,and then makes a regression analysis.Finally,the conclusion is drawn that the number of tourists and hotels is significantly related to tourism revenue,and the rail mileage negatively regulates the positive impact of tourists on tourism revenue.Based on this,the paper puts forward some suggestions and measures to improve the tourism revenue of Guizhou province. 展开更多
关键词 tourism revenue TOURISTS rail mileage
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Empirical Analysis of Tourism Revenues in Sanya
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作者 Yuanhui Li Haiyun Han 《国际计算机前沿大会会议论文集》 2020年第2期458-466,共9页
Tourism industry has become a pillar industry,which is used to measure the general economic development of Sanya.According to the latest data related with Sanya tourism(2008–2019),a linear regression model is establi... Tourism industry has become a pillar industry,which is used to measure the general economic development of Sanya.According to the latest data related with Sanya tourism(2008–2019),a linear regression model is established in this paper.With statistical method,it takes the annual tourism revenue of Sanya as the explanatory variable and the number of domestic tourists received by Sanya as the explanatory variable.Based on the model,the results of econometric analysis on the factors influencing Sanya tourism revenue show that the number of domestic tourists is the main influence factors of tourism revenue in Sanya. 展开更多
关键词 tourism revenue Number of domestic tourists Linear regression model
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Spatial Dislocation Analysis of Tourism Economy and Its Influencing Factors in Jiangsu Province 被引量:1
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作者 Yuxiang Zheng Yue Zhu 《Journal of Economic Science Research》 2021年第1期13-22,共10页
Taking 13 prefecture-level cities in Jiangsu Province as the research object,based on the theory of spatial dislocation,the gravity model and two-dimensional composite matrix method are used to analyze the spatial dis... Taking 13 prefecture-level cities in Jiangsu Province as the research object,based on the theory of spatial dislocation,the gravity model and two-dimensional composite matrix method are used to analyze the spatial dislocation between tourism resources,permanent population and other factors in Jiangsu Province and tourism revenue.The results show that the population center,the center of tourism resources,the center of tourist numbers,the center of economic development,and the center of tourism revenue of Jiangsu Province are all biased toward the southern part of Jiangsu Province.From the analysis of four sets of two-dimensional composite matrixes,13 prefecture-level cities have synchronized coordination and also have positive and negative dislocation types.Southern Jiangsu has the best synchronization and coordination,and northern Jiangsu has a strong negative dislocation trend;the combination of tourist numbers and tourism revenue is the strongest,but the dislocation is weak;population and tourism revenue have a strong positive dislocation trend;there is a strong negative dislocation trend between economic development and tourism revenue;the matrix combination of Nanjing,Wuxi and Suzhou has good synchronization;the city of Xuzhou in northern Jiangsu has a strong negative dislocation.In view of the results of spatial dislocation analysis,suggestions for improvement and optimization are put forward to promote the high-quality development of tourism in Jiangsu Province. 展开更多
关键词 Jiangsu province tourism revenue Spatial dislocation Matrix analysis
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