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林芝市茶旅游重游率的影响因素实证分析

An Empirical Study on the Integrated Development Model of Tea Tourism Industry in Linzhi City
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摘要 茶旅融合是茶产业和旅游业联动发展的一种新兴的经济发展模式,茶旅融合具体是指在消费者旅游的同时对茶园及茶叶生产过程进行观光浏览、休闲体验、购买茶产品的一种新型的产业融合方式。本研究旨在为优化林芝市茶旅产业融合发展模式提供数据支撑。本文运用调查问卷分析法进行基于游客视角林芝市茶旅产业融合发展模式的调查分析。对收集到的数据进行分析整理,了解游客的喜好偏爱,并通过二元logistic回归分析数据分析判断影响消费者对林芝市茶旅游重游率的影响因素。结果表明游客对于服务、交通、茶旅游项目以及宣传推广满意度越高,那么其进行重游的概率也就越大。要根据影响游客重游概率的因素以及调查问卷中分析出来的游客对茶旅产业融合发展模式的喜好偏爱,来进行茶旅融合发展模式的优化。 Tea tourism integration is an emerging economic development model for the linkage development of tea industry and tourism,and tea tourism integrati specifically refers to a new type of industrial integration mode in which consumers travel while sightseeing,leisure experience,and purchase tea products on tea gardens and tea production processes.The purpose of this study is to provide data support for optimizing the integrated development model of tea tourism industry in Linzhi City.In this paper,the questionnaire analysis method is used to investigate and analyze the integrated development model of tea tourism industry in Linzhi City from the perspective of tourists.analyze and sort out the collected data to understand the preferences of tourists,and analyze and judge the influencing factors of consumers'revisiting rate of tea tourism in Linzhi city through binary logistic regression analysis.The results show that the higher tourists'satisfaction with the service,transportation,tea tourism projects and promotion,the greater the probability of the revisit.According to the factors affecting the probability of tourists revisiting and the tourists'preferences for the integrated development model of tea tourism industry analyzed in the questionnaire,the integrated development model of tea tourism should be optimized.
作者 黄淑云 师学萍 HUANG Shuyun;SHI xueping(Plant Science College,Xizang Agriculture&Animal Husbandry University,Linzhi Xizang,860000,China)
出处 《高原农业》 2024年第4期462-468,共7页 Journal of Plateau Agriculture
基金 西藏自治区2021年高等学校人文社会科学研究重点项目(编号:SK2021-09)。
关键词 林芝市 茶旅产业 融合模式 二元logistic回归分析 Linzhi City Tea Tourism Industry Fusion Model Binary Logistic Regression Analysis
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