基于灰色关联分析的国内旅游收入影响因素实证分析——以广西为例  

An Empirical Analysis of Influence Factors of Domestic Tourism Income Based on the Grey Correlation Analysis——Taking Guangxi province as an example

作　　者：张自敏[1] 李坚基 樊艳英[3] 陈冠萍[3] 

机构地区：[1]贺州学院教育技术中心,广西贺州542899 [2]八步区城市投资有限公司,广西贺州542800 [3]贺州学院计算机科学与信息工程学院,广西贺州542899

出　　处：《科技和产业》2014年第5期25-27,共3页Science Technology and Industry

基　　金：贺州学院自然科学研究项目(2011ZRKY02)

摘　　要：利用灰色关联分析方法对影响广西国内旅游收入相关的9个因素进行了实证分析,结果显示与广西国内旅游收入最为相关的因素排序为:国内生产总值>人均国内生产总值>国内旅客人数>城镇居民人均可支配收入>农民纯收入>旅客周转量>客运量>星级饭店>旅行社。根据这些分析结果提出提高广西国内旅游收入的对策建议。Using the grey correlation analysis to have a empirical analysis of 9 factors which are interrelated with Guangxi＇s domestic tourism income, the result shows that the descending order of factors, which influences on Guangxi＇s domestic tourism income, are gross domestic product, per capita gross domestic product, number of domestic visitors, per capita annual disposable income of urban households, per capita annual net income of rural households, turnover of passenger traffic, passenger traffic, travel agencies and star-rated hotels. According to the analytical results above, some countermeasures and suggestions, which improve Guangxi＇s domestic tourism income, are proposed in this paper.

关 键 词：国内旅游收入 灰色关联度 对策建议 

分 类 号：TP31[自动化与计算机技术—计算机软件与理论] F592.7[自动化与计算机技术—计算机科学与技术]