基于灰色关联度分析的旅游经济效益影响因素研究──以广东省为例  

The Influencing Factors of Tourism Economic Benefit Based on Grey Correlation Analysis:Take Guangdong Province as an example

作　　者：张敏宁 ZHANG Minning(School of Foreign Languages,Guangdong Technology College,Zhaoqing,Guangdong 526100,China)

机构地区：[1]广东理工学院外语学院,广东肇庆526100

出　　处：《肇庆学院学报》2023年第6期92-99,共8页Journal of Zhaoqing University

基　　金：肇庆市哲学社会科学规划项目(23ZD-02);广东理工学院2023年创新强校工程科研项目(2023ZDSK006)。

摘　　要：据世界旅游有关组织分析预测,不久的将来,中国将成为世界第一大的旅游目的国家。面对全球聚焦的庞大旅游经济流量,广东如何对全省各市的旅游资源进行合理性开发利用,承接国际旅游红利溢出,助推经济高质量发展,是广东当前较为迫切的课题。本文采集了2011—2020年旅游经济收入的19个影响指标构建了广东省旅游经济效益评价指标体系,通过因子描述性分析、Pearson相关系数分析和灰色关联度分析,得出:交通、信息、旅游基础设施、环境质量、经济支持等因素与旅游经济效益正相关的相关结论,并据结论提出了促进广东旅游发展的建议。According to the analysis and prediction of the world tourism organization,China will become the world's largest tourist destination in the near future.In the face of the huge tourism economic flow focused on the world,how to rationally develop and utilize the tourism resources of various cities in Guangdong,undertake the spillover of international tourism dividends,and promote the high-quality economic development is a more urgent issue for Guangdong at present.In this paper,19 influencing indicators of tourism economic income from 2011 to 2020 are collected to construct an evaluation index system of tourism economic benefit in Guangdong Province.Through factor descriptive analysis,Pearson correlation coefficient analysis and grey correlation degree analysis,it is concluded that traffic,information,tourism infrastructure,environmental quality,economic support and other factors are positively related to the economic benefits of tourism,and according to the conclusion,we put forward some suggestions to promote the development of tourism in Guangdong.

关 键 词：旅游收入 经济效益 灰色关联度 广东省 

分 类 号：F592.3[经济管理—旅游管理]