Affiliations: Guizhou University of Finance and Economics, Huaxi University Town, Huaxi District, Guiyang, Guizhou 550025, China
Correspondence:
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Corresponding author: Jie Su, Guizhou University of Finance and Economics, Huaxi University Town, Fenglin District, No. 33, Mount Huangshan Chong Road, Yunyan District, Guiyang, Guizhou 550004, China. E-mail: sjgufe@126.com.
Abstract: Evaluation of tourism resources can help the government adjust policies and foster the development of tourism. As one of the ethnic areas, Guizhou has abundant tourism resources. In this study, five tourism resources in Guizhou, a minority area, including Huangguoshu Falls, Qianhu Hmong Village, Qingyan Ancient Town, Hailongtun Tusi Town and One Hundred Miles Azalea Park, were evaluated by using grey relational analysis theory (GRA). Through the establishment of the evaluation system, the appropriate evaluation indexes were selected and evaluated by the expert group to obtain index weight and specific index value. After dimensionless processing of the data, the relevancy coefficient and relevancy degree were calculated by grey relational analysis. It was found that the relevancy degree of the five tourism resources were 0.6907, 0.6329, 0.6421, 0.6129 and 0.6785 respectively, which indicated that the values of Huangguoshu Falls and One Hundred Miles Azalea Park were high and tourism value of Hailong Tusi Town was relatively low, and the results obtained were consistent with the actual situation.
Keywords: Grey relational analysis, evaluation of tourism resource, Guizhou, indicator system, tourism resource value
