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引用本文:张洁,张佳佳.基于多元影响效应的北方7省花海旅游区域差异分析[J].中国农业资源与区划,2019,40(5):221~228
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基于多元影响效应的北方7省花海旅游区域差异分析
张洁, 张佳佳
青岛滨海学院,山东青岛266555
摘要:
[目的]通过分析花海旅游的多元影响效应,比较北方7省花海旅游的区域差异,以期实现花海旅游区域发展的均衡性与可持续性。[方法]以北方7省典型花海旅游区为研究对象,通过区域差异评价指标进行筛选,构建花海旅游区域差异评价指标体系,采用层次分级计算权重值及聚类分析法对7省区花海景观进行综合排序。[结果]聚类分析表明, 5个系统指标23个影响指标中经济、社会、生态与文化等综合指标影响效果依次递减,表现为区域旅游收入水平、生态环境保护力度、基础设施建设程度、文化资源总量等方面,将7个省区划分为3类地区,其优劣排序为一类地区>二类地区>三类地区。[结论]区域经济发展水平、旅游业占GDP比重、人均GDP水平、政府经济投入力度及基础设施建设程度是影响花海旅游发展的主要因素; 北方7省花海旅游区域差异较大,基本态势为偏东部地区花海旅游综合实力较好。
关键词:  花海旅游区域差异旅游影响效应聚类分析评价指标体系
DOI:
分类号:F5907
基金项目:青岛滨海学院人文社科项目“黄岛区旅游产业发展研究”(2014R09)
RESEARCH ON REGION DIFFERENCE OF FLOWERS TOURISM BASED ON MULTI INFLUENTIAL EFFECT
Zhang Jie, Zhang Jiajia
Qingdao Binhai University, Qingdao, Shandong 266555, China
Abstract:
Through analyzing the multiple influence effects, this study compared the regional differences of flower sea tourism in seven northern provinces in order to achieve the balanced and sustainable development of flower sea tourism. Taking seven typical flower sea tourist areas in the northern provinces as the research object, this study established the evaluation index system of the differences between the flowers tourism by selecting the index of regional difference evaluation. Moreover, it made a comprehensive ranking for 7 provinces of flower landscape by using analytic hierarchy process and cluster analysis. The results showed that the economic, social, ecological and cultural indicators among 23 elements in 5 system indicators decreased in turn, showing in these aspects, such as the regional tourism income, the protection of ecological environment, the degree of infrastructure construction, the total amount of cultural resources, etc. The seven provinces and autonomous regions were divided into three types of regions, and their advantages and disadvantages were classified into three types of regions: the first type of region> the second type>the third type. Therefore, the main influencing factors in the regional differences of flower sea tourism are summarized including the level of regional economic development, the proportion of tourism to GDP, the level of per capita GDP, the government′s economic input and the degree of infrastructure construction. The regional differences of flower sea tourism in the seven northern provinces are large, and the basic trend is that the comprehensive strength of flower sea tourism in the eastern part of China is better.
Key words:  flowers tourism  regional variation  tourism effect  clustering analysis  evaluating indicator system
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