Year: 2019
Author: Yutong Sun, Xiaoxiang Guo, Jingli Ren
Journal of Nonlinear Modeling and Analysis, Vol. 1 (2019), Iss. 3 : pp. 355–366
Abstract
This paper studies the factors that affect people coming to China. We select the spending of United States and South Korea, GDP, railway transportation capacity of China as observations. Based on the data from 1988 to 2015, we use the ordinary least squares analysis regression model and present a most reasonable regression equation. It is found that South Korea's spending is negative to the number of visitors, whereas the spending of US is positive. On comparing the effect of other variables, the growth of railway transportation capacity and the overseas travel expenses of South Korea or United States, have almost no significant impact on the number of people coming to China. However, as China economic growth increasing rapidly, more and more people are willing to come.
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Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/10.12150/jnma.2019.355
Journal of Nonlinear Modeling and Analysis, Vol. 1 (2019), Iss. 3 : pp. 355–366
Published online: 2019-01
AMS Subject Headings:
Copyright: COPYRIGHT: © Global Science Press
Pages: 12
Keywords: Least squares analysis regression correlation coefficient.