我国旅游业收入变动的影响因素分析 随着我国的经济水平不断发展，我国居民的生活水平也在不断提高着，居民收入的不断增长，我国的旅游业的发展也越来越快，我国旅游收入也在快速增长中。本文以2001年-2020年的数据为样本，利用Eviews软件，对可能会影响到我国国内的旅游收入水平的 4个主要的因素进行分析。研究表明：国内游客的人数、旅行社的个数以及游客的周转量是影响国内旅游收入最主要因素。其中每当增加 1 × 106 人次的国内旅客人数时，国内旅游收入会随之平均增加约11.79亿元; 每增加一个旅行社，国内旅游收入将平均减少0.14亿元;旅客周转量每多1*108km，旅游收入减少0.12亿元。 关键词：旅游业；影响因素；多元线性回归模型；影响分析 Analysis on the influencing factors of tourism income fluctuation in our country ABSTRACT With the continuous development of China's economic level, the continuous improvement of residents' living standards and the continuous growth of residents' income, China's tourism industry is also in rapid development, and China's tourism income is also in rapid growth. Based on the data from 2001 to 2020 as the sample, this paper analyzes the four main factors that affect the level of domestic tourism income in China by using the relevant knowledge of statistics. The research shows that the number of domestic tourists, the number of travel agencies and the turnover of tourists are the most important factors affecting the domestic tourism income. For every 1 × 106 increase in the number of domestic tourists, domestic tourism revenue will increase by an average of about RMB1.179 billion; Each additional travel agency will reduce domestic tourism revenue by an average of 14 million yuan. For every 1*108km increase in passenger turnover, tourism income will decrease by RMB12 million. Keywords：Tourist industry; Influence factor; Multiple linear regression model; Impact analysis 目录 一、引言 3 二、 模型构建 4 （一）变量选取 4 1.模型设定 4 2.数据收集 4 三、实证分析 5 （一）估计参数 5 （二）模型检验 5 1.经济意义检验 5 2.统计推断检验 6 3.计量经济检验 6 四、 结论及建议 10 （一）分析结论 10 （二）相关建议 10 参考文献 11
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