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提升北京市国际旅游竞争力研究

发布时间:2018-12-08 08:22
【摘要】:经济全球化的发展使得国际旅游蓬勃发展并将成为旅游业新的动力源泉和发展方向。作为中国首都的北京,,其国际旅游竞争力对北京旅游业未来的发展意义重大。在众多研究国际旅游竞争力的文献中,有很多学者采用不同的竞争力评价模型对单一地区进行分析,也有不少学者运用某一模型或分析方法对不同地区间国际旅游竞争力进行对比分析,比较主流的竞争力评价体系和理论有瑞士国际管理发展学院(IMD)的区域竞争力模型和迈克尔波特教授的“钻石模型”。但是对于北京而言,一方面目前还没有比较全面地从国际竞争力角度和旅游产业的角度对其进行国际旅游竞争力的评价和分析,更缺乏量化的实证分析;另一方面,大多数学者都是运用层次分析法或问卷调查法将IMD竞争力评价体系应用于某一地区或国家,缺乏对IMD竞争力评价体系的量化实证研究和应用。为了详细客观地从国际竞争力和旅游产业竞争力两个角度研究北京市的国际旅游竞争力,也为了丰富IMD竞争力评价体系的量化研究,我们运用IMD国际竞争力模型和波特竞争力模型对北京市的国际旅游竞争力进行了研究。 依据1991-2013的《北京统计年鉴》等统计资料,根据两个模型的结构体系和核心思想选取了两个模型在后续研究中所需的典型变量,并运用SAS9.2对两个模型的典型变量进行了描述性统计分析,通过Origin pro8.6对所有变量进行图像分析,在此基础上对数据进行处理。之后,重点运用两个模型分别从国际竞争力和旅游产业竞争力的角度,通过SAS9.2的CLUSTER过程和REG过程对北京市国际旅游竞争力展开实证分析。聚类分析主要分析了北京市国际竞争力和旅游产业竞争力不同年份间的整体竞争力水平,并对相似年份进行简单归类和原因分析;多元回归分析主要包括模型建立、模型检验、模型修正以及模型分析等工作,并由回归分析的结果分别得出两个模型中影响北京市的国际竞争力水平和旅游产业竞争力水平的因素。 根据最终的回归方程和参数估计值,分别从国际竞争力和旅游产业竞争力两个角度,结合两个模型的理论根源,对北京市改善和提升国际旅游竞争力水平提出相关建议。
[Abstract]:With the development of economic globalization, international tourism is booming and will become a new power source and development direction of tourism. As the capital of China, Beijing's international tourism competitiveness is of great significance to the future development of Beijing's tourism industry. Among many literatures on international tourism competitiveness, many scholars use different competitiveness evaluation models to analyze a single region. There are also many scholars who use a certain model or analytical method to compare and analyze the competitiveness of international tourism among different regions. The main competitive evaluation systems and theories include (IMD) 's regional competitiveness model and Michael Porter's diamond model. However, for Beijing, on the one hand, there is no comprehensive evaluation and analysis of international tourism competitiveness from the perspective of international competitiveness and tourism industry, and there is a lack of quantitative empirical analysis. On the other hand, most scholars use analytic hierarchy process (AHP) or questionnaire method to apply IMD competitiveness evaluation system to a certain region or country, and lack of quantitative empirical research and application of IMD competitiveness evaluation system. In order to study Beijing's international tourism competitiveness from two angles of international competitiveness and tourism industry competitiveness in detail and objectively, and to enrich the quantitative research of IMD competitiveness evaluation system, We use IMD model and Porter model to study the international tourism competitiveness of Beijing. Based on the statistical data of the Beijing Statistical Yearbook 1991-2013, and according to the structural system and core ideas of the two models, the typical variables needed by the two models in the follow-up study are selected. The typical variables of the two models are analyzed by SAS9.2, and all the variables are analyzed by Origin pro8.6. On the basis of this, the data are processed. Then, two models are used to analyze Beijing's international tourism competitiveness through the CLUSTER process and REG process of SAS9.2, respectively, from the perspective of international competitiveness and tourism industry competitiveness. Cluster analysis mainly analyzes the overall competitiveness level of Beijing in different years of international competitiveness and tourism industry competitiveness, and makes a simple classification and cause analysis of similar years. Multivariate regression analysis mainly includes model building, model checking, model modification and model analysis, etc. According to the results of regression analysis, the factors influencing the level of international competitiveness of Beijing and the level of competitiveness of tourism industry are obtained respectively in the two models. According to the final regression equation and parameter estimation, this paper puts forward some suggestions on improving and upgrading the level of international tourism competitiveness in Beijing from the perspectives of international competitiveness and tourism industry competitiveness, and combining the theoretical roots of the two models.
【学位授予单位】:哈尔滨工业大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:F592.7

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