四川省入境旅游发展影响因素分析

发布时间：2018-03-02 15:20

本文选题：入境旅游　切入点：影响因子　出处：《四川农业大学》2013年硕士论文　论文类型：学位论文

【摘要】：入境旅游是指非本国居民到本国,且驻留时间在一年以下的旅游活动。入境旅游是三大旅游市场(出境旅游、入境旅游、国内旅游)的一个重要组成部分,在增加当地外汇收入、提升国际形象以及带动服务业、制造业等相关产业的发展上具有明显的优势。改革开发至今,我国入境旅游业发展势头强劲,正逐步成为全球最有吸引力的旅游目的地之一。四川省作为旅游资源大省,拥有诸如九寨沟、大熊猫基地等闻名世界的旅游资源,但是其入境旅游业的发展却一直低于全国平均水平,成为了四川省旅游业进一步发展的瓶颈。要改变这一现状,就必须要通过对入境旅游需求影响因素进行分析,研究对策,从而达到扩展入境旅游市场的目的。本文在对国内外学者有关入境旅游需求影响因素分析的论文的研究后,总结出了影响入境旅游需求的主要因素,并通过问卷调查法对入境旅游需求较大的因素进行了选择,认为对入境旅游需求影响较大的因素主要有涉外星级饭店数量、城市园林绿地面积、已开发的旅游景点资源数量以及相关旅游运输网络设施建设水平等因素。由于旅游系统是一个巨大的灰色系统,其影响因素错综复杂,且相互影响,因此用灰色关联模型分析就有很强的针对性。本文将通过建立模型,利用模型分析为四川省旅游规划、评价提供科学依据。本文在对影响四川省入境旅游业发展的相关因素进行量化后,建立了它们对四川省入境旅游人数影响的灰色关联模型,并用该模型分析如涉外星级饭店数量等影响因子与四川省入境旅游人数的关联度,在对关联度进行排序后,得出了对四川省入境旅游业发展影响最大的因素,并结合四川省实际,最后提出了要加大对四川旅游运输网络设施基础建设的投入、调整住宿产业结构,积极发展旅游景点周边的民宿建设、创新旅游服务,重视对旅游业服务质量的提升以及构建对外宣传网络,重视旅游产品的包装等对策来促进四川省入境旅游业的发展。
[Abstract]:Inbound tourism refers to the tourism activities in which non-native residents come to their country and stay for less than one year. Inbound tourism is an important part of the three major tourist markets (outbound tourism, inbound tourism, domestic tourism). It has obvious advantages in increasing local foreign exchange income, enhancing international image and promoting the development of related industries such as service industry and manufacturing industry. Since the reform and development, China's inbound tourism industry has gained a strong momentum of development and is gradually becoming one of the most attractive tourist destinations in the world. Sichuan Province, as a province with large tourism resources, has such as Jiuzhaigou. Panda bases and other world-famous tourist resources, but the development of inbound tourism has been below the national average, which has become a bottleneck for the further development of tourism in Sichuan Province. To change this situation, In order to expand the inbound tourism market, it is necessary to analyze the influencing factors of the inbound tourism demand and study the countermeasures. After the research of the domestic and foreign scholars' papers on the analysis of the factors affecting the inbound tourism demand, This paper summarizes the main factors that influence the demand for inbound tourism, and selects the factors which have a greater impact on the demand for inbound tourism through the method of questionnaire investigation. It is considered that the main factors that have a greater impact on the demand for inbound tourism are the number of foreign star-rated hotels. The area of urban green space, the number of tourist attractions and the construction level of related tourist transportation network facilities. Because the tourism system is a huge grey system, its influence factors are complicated and influence each other, so the grey relational model analysis has strong pertinence. The model analysis is used to provide scientific basis for tourism planning and evaluation in Sichuan Province. After quantifying the relevant factors affecting the development of inbound tourism in Sichuan Province, a grey relational model is established for their influence on the number of inbound tourism in Sichuan Province. This model is used to analyze the correlation degree between the influencing factors such as the number of foreign star hotels and the number of inbound tourists in Sichuan Province. After ranking the correlation degree, the factors that have the greatest influence on the development of inbound tourism in Sichuan Province are obtained. Combined with the actual situation in Sichuan Province, the paper finally puts forward the need to increase investment in the infrastructure construction of Sichuan tourism transport network, adjust the structure of the accommodation industry, actively develop the residential construction around the tourist attractions, and innovate tourism services. In order to promote the development of inbound tourism in Sichuan Province, we should pay attention to the promotion of tourism service quality, the construction of external propaganda network and the packaging of tourism products.
【学位授予单位】：四川农业大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：F592.7

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