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Evaluation Analysis And Difference Comparison Of Eco-tourism Resources Between Fujian And Taiwan Province

Posted on:2014-01-29Degree:MasterType:Thesis
Country:ChinaCandidate:X F QiFull Text:PDF
GTID:2269330401463575Subject:Eco-tourism
Abstract/Summary:PDF Full Text Request
Eco-tourism resources was not only new special tourism resources, but also thesubstance foundation of sustainable developing of natural areas. The behavior oftourist did not damage the ecological environment as little as possible through thenatural areas to obtain happiness. As far as now, the division and evaluation ofeco-tourism resources was still in the beginning stage in Fujian and Taiwan province.Investigation, analyze,regionalization,evaluation,exploitation of eco-tourism resourceswere still wait for in-depth study and discussion. Although in recent years, there hadbeen researchers on eco-tourism resources in Fujian and Taiwan province, but therewere many studies still remain in the qualitative analysis and scientific and deepanalysis were rarely used.Based on the type classification of eco-tourism resources in Fujian and Taiwanprovince by our predecessors, this article will discuss the concept of eco-tourismresources, principle of index, and method of zone. This article use Swot theory toanalysis the external environment and external conditions that concludedopportunities, challenges, advantages, disadvantages for the possible of cooperationfor eco-tourism resources between Fujian and Taiwan province. According to thedistribution between Fujian and Taiwan eco-tourism resources, the author collecteddata by literature consultation, material collection and field investigation, combinedwith the principle of selecting evaluation index. Finally, the author selected analytichierarchy process to establish a complex evaluation index system for Fujian andTaiwan eco-tourism resources. The results showed Fujian and Taiwan eco-tourismresources which was scored66.954is still in the initial development stage.The author used the grey prediction GM (1,1) method combined linear analysisto prediction the capacity and the market of Fujian and Taiwan eco-tourism resources.The result showed that there was a good development trend for Fujian and Taiwaneco-tourism resources in next few years.The projection pursuit cluster model was applied to integrate the10multidimensional classification indexes into one-dimensional projection value,combined with cluster analysis, the eco-tourism resource was evaluated andregionalized. The result showed that: the eco-tourism resources in Fujian, decreaseprogressively from inland to coastal, named for respectively the first grade, the secondgrade and the third grade; the eco-tourism resources in Taiwan, decreasedprogressively from middle mountain to the east and west coast, named the first grade of middle mountain, the second grade of the east grade, the third grade of the westcoast, that is similar to the geographic distribution of the tourism industrial cluster.According to the grade of eco-tourism resources in Fujian and Taiwan province,Fujian and Taiwan eco-tourism resources were divided into the forest tour of westernof Fujian and central of Taiwan, the ecological tour of central of Fujian and east ofTaiwan, the coastal tour of southeast of Fujian and western of Taiwan. Based on theoriginal division of Fujian and Taiwan eco-tourism resources,The three tourist routeswere divided into the tourism industrial cluster of north of Fujian and central ofTaiwan, the tourism industrial cluster of eastern of Fujian and eastern of Taiwan, thetourism industrial cluster of southeast of Fujian and western of Taiwan, the tourismindustrial cluster of Fuzhou and Taiwan, the tourism industrial cluster of western ofFujian and lugang-puli-tainan, At last, based on the analysis of eco-tourism resourcesin Fujian and Taiwan province, the proposed development strategy was broughtforward to the development and utilization of five function areas...
Keywords/Search Tags:Fujian and Taiwan, the eco-tourism resources, Swot theory, analytichierarchy process, the grey prediction GM(1, 1)method, The projection pursuit clustermodel, cluster analysis, grade, regionalization, development and utilization
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