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题名	长江经济带沿江城市旅游竞争力评价研究
作者	龙亚萍
学位类别	硕士
答辩日期	2015
授予单位	中国科学院大学
授予地点	北京
导师	李立华
关键词	城市旅游 竞争力 熵值法 长江经济带 沿江城市
其他题名	A Research on Evaluation of Urban Tourism Competitiveness of cities along Yangtze River Economic Belt
学位专业	人文地理学
中文摘要	市旅游作为一种重要的旅游类型，从其经济总量的占有率来看，已经成为我国现代旅游业的主体。随着我国城市旅游的快速发展，城市之间的旅游竞争越来越激烈。国内学者围绕城市旅游竞争力开展了大量的工作，但这些研究主要是从波特的“钻石理论”和克劳奇与里奇的“旅游目的地竞争力概念模型”出发，构建评价指标体系，指标多而且指标之间存在重复。城市旅游竞争力的概念内涵，以及到底什么是影响城市旅游竞争力的核心指标缺乏明确的界定和全面的分析，城市旅游竞争力软性因素指标忽略考虑。为此，本文在梳理了国内外相关研究的基础上，明确了竞争力、旅游竞争力、城市旅游竞争力等概念之后，从城市旅游经营绩效、城市旅游资源、城市旅游企业、城市旅游环境等方面对城市旅游竞争力影响因素进行了分析。并且，以长江经济带沿江24市为例，采用客观方面的熵值法对2012年长江经济带沿江24市城市旅游竞争力进行了分析研究。通过研究，本文得出以下结论： （1）城市旅游竞争力影响因素主要包括城市旅游经营绩效、城市旅游资源、城市旅游企业、城市环境、城市管理水平、城市文化等影响因素。 （2）运用客观方面的熵值法对城市旅游竞争力评价指标进行了权重计算，结果表明：城市旅游业绩竞争力对长江经济带沿江24市城市旅游竞争力影响最大，其次是城市旅游环境竞争力，最后是城市旅游潜力竞争力。这表明，长江经济带沿江24市城市旅游竞争力不再是传统观念上受旅游资源禀赋影响最大，而已经慢慢转向市场占有能力以及城市旅游社会、生态、人文环境等因素影响。 （3）长江经济带沿江24市城市旅游竞争力差异明显，中上游的城市旅游竞争力比下游的城市旅游竞争力弱。根据评价结果，可以划分为四个等级：上海、南京、重庆、武汉四市为城市旅游竞争力强型，镇江、扬州、南通、九江、池州为城市旅游竞争力较强型，泰州、宜宾、宜昌、咸宁、岳阳、安庆、马鞍山、芜湖为城市旅游竞争力较弱型，泸州、攀枝花、黄石、鄂州、荆州、黄冈、铜陵为城市旅游竞争力弱型。
英文摘要	As an important type of tourism, urban tourism has become the principal part of tourism industry in the view of proportion to total tourism economy. With the rapid development of urban tourism, urban tourism competition is becoming increasingly fierce. Domestic scholars have conducted a lot of work around the urban tourism competitiveness, while most of the studies are based on Porter's diamond theory and Crouch and Ritchie’s tourism destination competitiveness conceptual model constructing evaluation index system, but the index system contains too many indicators. The concept of urban tourism competitiveness and the core indicators that affecting urban tourism competitiveness are not defined clearly and analyzed comprehensively, while soft indicators affecting urban tourism competitiveness are also ignored. Based on this, this paper summarizes the related literature about urban tourism competitiveness，and makes a clear definition of competitiveness, tourism competitiveness and urban tourism competitiveness. Then this paper constructs an evaluation index system of urban tourism competitiveness from the perspective of urban tourism performance, urban tourism resources, tourism enterprises and urban tourism environment, and analyzes the urban tourism competitiveness of 24 cities along the Yangtze River economic belt with entropy value method in 2012. The results show that: (1)The factors of urban tourism competitiveness mainly contain urban tourism performance, urban tourism resources, tourism enterprises and urban tourism environment. (2) With entropy method，this paper calculates the weight of evaluation indicators of the urban tourism competitiveness. The results show that urban tourism competitiveness performance is the main factor influencing urban tourism competitiveness of these 24 cities, and then are environmental competitiveness of urban tourism and potential competitiveness of urban tourism. This suggests that urban tourism competitiveness of these 24 cities along Yangtze River economic belt no longer mainly depend on tourism resources, but depending on the ability of market share and the social, ecological and cultural environment of urban tourism. (3)The urban tourism competitiveness of 24 cities along Yangtze River economic belt are obvious different. The tourism competitiveness of middle and upper reaches of cities is weaker than downstream cities. According to the results, the 24 cities can be divided into four levels: the urban tourism competitiveness of Shanghai, Nanjing, Chongqing and Wuhan are very strong，the urban tourism competitiveness of Yangzhou, Nantong, Jiujiang and Chizhou are strong; the urban tourism competitiveness of Taizhou, Yibin, Yichang, Xianning, Yueyang, Anqing, Maanshan and Wuhu are weak; the urban tourism competitiveness of Luzhou, Panzhihua, Huangshi, Ezhou, Jinzhou, Huanggang and Tongling are very weak.
语种	中文
内容类型	学位论文
源URL	[http://ir.imde.ac.cn/handle/131551/14127]
专题	成都山地灾害与环境研究所_山区发展研究中心
作者单位	中国科学院成都山地灾害与环境研究所
推荐引用方式 GB/T 7714	龙亚萍. 长江经济带沿江城市旅游竞争力评价研究[D]. 北京. 中国科学院大学. 2015.

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