主要客源国对中国入境旅游市场的贡献分析

发布时间：2018-05-01 08:25

本文选题：入境旅游市场贡献 + 概念　；参考：《旅游学刊》2017年01期

【摘要】：文章以经济学投入产出理论为依据,以定量分析法为主,提出了入境旅游市场贡献概念,为其构建了人口份额贡献、经济份额贡献和贡献指数3项关键指标,并就17个主要客源国近14年对我国入境旅游市场的贡献指标进行了单项和交叉分析。研究发现:(1)亚洲客源国是我国入境旅游人口份额贡献的主要市场,我国入境旅游虽已步入摆脱对日本、韩国、俄罗斯、美国4个传统客源大国过度依赖的初始阶段,但未来很长时期内他们的人口份额贡献主导地位不会改变,人口份额贡献呈现出国别过度集中特征。(2)经济份额高贡献国较少,来华外国游客在单位旅游时间(天)内的旅游花费高低和停留时间长短是影响其对我国入境旅游经济份额贡献高低的两项重要因素。(3)客源国对华入境旅游市场贡献指数在"十一五"规划期内得到明显改善,研究期内样本整体的市场贡献指数虽得到增长,但整体水平不高,市场贡献高指数国主要集中在欧美地区。
[Abstract]:Based on the input-output theory of economics and quantitative analysis, the paper puts forward the concept of the contribution of inbound tourism market, and constructs three key indexes: the contribution of population share, the contribution of economic share and the contribution index. The contribution index of 17 major tourist countries to China's inbound tourism market in the past 14 years is analyzed in single item and cross-analysis. The study found that the Asian tourist source countries are the main market for China's contribution to the share of inbound tourism population. Although China's inbound tourism has entered the initial stage of getting rid of excessive dependence on Japan, South Korea, Russia, and the United States, the four traditional major tourist countries, But for a long time to come, the dominant position of their contribution to the population share will not change, and the contribution of the population share shows the characteristics of excessive concentration of countries. The amount of travel expenses and the length of stay of foreign tourists in China are two important factors that influence the economic share of inbound tourism in China. (3) the tourist source country pays tribute to the inbound tourism market of China. The index has improved significantly during the 11th Five-Year Plan period. Although the overall market contribution index of the sample increased during the study period, the overall level was not high, and the high market contribution index countries were mainly concentrated in Europe and the United States.
【作者单位】：四川信息职业技术学院经济与管理系;
【基金】：国家自然科学基金项目“旅游流与目的地耦合:因素及模型与机制研究——六大城市入境旅游为例”(41271158)资助~~
【分类号】：F592.6

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