旅游业竞争力是包括现实竞争力、潜在竞争力、支持竞争力在内的综合概念。本文在总结前人研究成果的基础上,结合省域旅游业发展实际,构建出省域旅游业竞争力综合评价指标体系,运用层次分析法计算出省域旅游业竞争力分值,进而结合聚类分析,探讨了我国省域旅游业竞争力的类型,客观分析了各省、市、区旅游业竞争优势与劣势,并就提升省域旅游业竞争力进行了思考。

Tourism competitiveness is distinguished from synthesized tourism strength. The former reflects the level of competitiveness in the near future comprehensively, while the latter is just the historical outcome of the tourism development, is a part of tourism competitiveness which has been actually represented. Therefore, provincial tourism competitiveness not only rests with actual competitiveness, but also is profoundly influenced by potential and sustaining competitiveness. The level of future provincial tourism competitiveness is greatly decided by the potential and sustaining competitiveness.The subsections are as follows:indexes of outstanding achievements constitute of actual competitiveness, including scale, rate and benefit competitiveness. Potential competitiveness is the operation of production factors which are divided into two grades:elementary ones and advanced ones. Sustaining competitiveness is the sustention of social and economic tourism environment and natural tourism environment.
There are two kinds of methods to do comprehensive evaluation, one being subjective judgment, and the other objective analysis, both of which have their limits:the former is subject to subjective judgment while the latter, dependent slantingly on objective data, is deficient in the analysis and solution of actual problems, thus not completely reliable in actual operation. Considering the anfractuous factors that influence provincial tourism competitiveness, this paper sets out to analyze the method of AHP(analytic hierarchy process) to give weights to indexes in tourism evaluation. It has two merits:first, this method, with the employment of the technique of delaminating analysis, can improve the systematic quality; second, it gives a uniform test to in dexes of each layer, and thus can avoid great subjective errors while preserving the experts' opinions. Besides, this paper uses the software of SPSS to make a clustering analysis of the classification of the provincial tourism competitiveness types in China.