旅游地不同发展状态下的关键影响因素研究——基于灰色关联度的对比分析  

Research on Key Factors Influencing Tourist Destination Development in Different Development States--Comparative Analysis Based on Grey Relational Degree

作　　者：冯万荣 李竹梅 段文婷 Feng Wanrong;Li Zhumei;Duan Wenting(Kunming University of Science and Technology Oxbridge College,Kunming 650106,Yunnan)

机构地区：[1]昆明理工大学津桥学院经济管理学院,云南昆明650106

出　　处：《中国商论》2024年第13期89-93,共5页China Journal of Commerce

摘　　要：为了解不同旅游地在不同发展状态,不同增速下影响其发展的关键因素和相同旅游地在不同发展状态、不同增速下其旅游业影响发展关键因素的异同,文章以浙江、贵州为研究对象,以旅游总收入为衡量旅游业发展指标,以2010—2014年和2015—2019年两个发展阶段的数据进行对比研究,以灰色关联分析法为研究工具,构建了由经济支撑因子、旅游地吸引因子、接待服务因子、人力资源因子、信息因子5个一级因子和第三产业增加值、国内游客数量、星级饭店数量、移动电话用户数、固定互联网宽带接入用户等13个二级因子组成的指标体系分析各因子对旅游发展的影响。研究表明:旅游地在不同发展状态、不同增速下影响其发展的关键因素都会出现相应变化,并且各因子对旅游地发展的影响既呈现出共性特征,也存在个性化、差异性。To understand the key factors influencing the development of various tourist destinations under different states and growth rates,as well as the similarities and differences in these factors for the same destination,this paper focuses on Zhejiang and Guizhou.Using total tourism revenue as an indicator of tourism development,we conduct a comparative study with data from the periods 2010-2014 and 2015-2019.Employing grey relational analysis,we construct an index system comprising five primary factors(economic support,tourist attraction,reception service,human resources,and information)and thirteen secondary factors(including the added value of the tertiary industry,the number of domestic tourists,the number of star hotels,and the number of mobile phone users and fixed Internet broadband users)to analyze their impact on tourism development.The study indicates that key factors affecting the development of the destinations vary with different development states and growth rates.These factors exhibit both common characteristics and individualized differences in affecting tourism development.

关 键 词：灰色关联度 旅游 旅游经济效益 旅游经济 灰色关联分析法 

分 类 号：F592.7[经济管理—旅游管理]