2019Open Journal of Social SciencesOpen access

Study on the Evaluation Index System of Guangdong’s All-for-One Tourism Destination Competitiveness Based on Factor and Cluster Analysis

Yi Ye

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Abstract

As a new development mode and concept of tourism industry, all-for-one tourism is helpful to provide new ideas and directions for the development of tourism industry in Guangdong Province. Based on the data of 21 cities in Guang-dong province, this paper uses factor analysis method to construct the evaluation index system, and gets the ranking of each region in the all-for-one tourism destination competitiveness. According to the scores of all-for-one tourism competitiveness, the competitiveness of 21 cities was classified by cluster analysis. This paper mainly provides suggestions for the development of tourism industry in 21 cities of Guangdong Province from the two systems of tourism competitiveness reality and tourism competitiveness potential.

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What this paper is about

As a new development mode and concept of tourism industry, all-for-one tourism is helpful to provide new ideas and directions for the development of tourism industry in Guangdong Province. Based on the data of 21 cities in Guang-dong province, this paper uses factor analysis method to construct the evaluation index system, and gets the ranking of each region in the all-for-one tourism destination competitiveness. According to the scores of all-for-one tourism competitiveness, the competitiveness of 21 cities was classified by cluster analysis. This paper mainly provides suggestions for the development of tourism industry in 21 cities of Guangdong Province from the two systems of tourism competitiveness reality and tourism competitiveness potential.

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Available abstract

As a new development mode and concept of tourism industry, all-for-one tourism is helpful to provide new ideas and directions for the development of tourism industry in Guangdong Province. Based on the data of 21 cities in Guang-dong province, this paper uses factor analysis method to construct the evaluation index system, and gets the ranking of each region in the all-for-one tourism destination competitiveness. According to the scores of all-for-one tourism competitiveness, the competitiveness of 21 cities was classified by cluster analysis. This paper mainly provides suggestions for the development of tourism industry in 21 cities of Guangdong Province from the two systems of tourism competitiveness reality and tourism competitiveness potential.

Key concepts: Tourism, Ranking (information retrieval), Index (typography), Cluster (spacecraft), Business, Construct (python library), Regional science, Mode (computer interface)

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